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["aten._log_softmax.default","TIMM/ecaresnet101d","((T([64, 1000], f16), 1, False), {})"]
["aten._log_softmax.default","TIMM/gmixer_24_224","((T([64, 1000], f16), 1, False), {})"]
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["aten._log_softmax.default","TIMM/mobilevit_s","((T([64, 1000], f16), 1, False), {})"]
["aten._log_softmax.default","TIMM/pit_b_224","((T([64, 1000], f16), 1, False), {})"]
["aten._log_softmax.default","TIMM/poolformer_m36","((T([64, 1000], f16), 1, False), {})"]
["aten._log_softmax.default","TIMM/res2net101_26w_4s","((T([64, 1000], f16), 1, False), {})"]
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["aten._log_softmax.default","TIMM/swin_base_patch4_window7_224","((T([64, 1000], f16), 1, False), {})"]
["aten._log_softmax.default","TIMM/tf_mixnet_l","((T([64, 1000], f16), 1, False), {})"]
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["aten._log_softmax.default","TIMM/vit_base_patch16_224","((T([64, 1000], f16), 1, False), {})"]
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["aten._log_softmax.default","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 128], f16), 1, False), {})"]
["aten._log_softmax.default","HuggingFace/Speech2Text2ForCausalLM","((T([8192, 10000], f16), 1, False), {})"]
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["aten._log_softmax_backward_data.default","HuggingFace/GPTNeoForSequenceClassification","((T([1, 2], f16), T([1, 2], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1, 512], f16), T([1, 512], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/AlbertForMaskedLM","((T([1024, 30000], f16), T([1024, 30000], f16), 1, f16), {})"]
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["aten._log_softmax_backward_data.default","HuggingFace/AllenaiLongformerBase","((T([1024, 50265], f16), T([1024, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MBartForConditionalGeneration","((T([1024, 50265], f16), T([1024, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/PegasusForCausalLM","((T([1024, 50265], f16), T([1024, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/TrOCRForCausalLM","((T([1024, 50265], f16), T([1024, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BigBird","((T([1024, 50358], f16), T([1024, 50358], f16), 1, f16), {})"]
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["aten._log_softmax_backward_data.default","TIMM/botnet26t_256","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/coat_lite_mini","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/dm_nfnet_f0","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/eca_botnext26ts_256","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/eca_halonext26ts","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/ese_vovnet19b_dw","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/fbnetc_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/fbnetv3_b","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gernet_l","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/ghostnet_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gluon_inception_v3","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/hardcorenas_a","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/hrnet_w18","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/inception_v3","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/lcnet_050","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/levit_128","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mnasnet_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mobilenetv2_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mobilenetv3_large_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/nfnet_l0","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/regnety_002","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/repvgg_a2","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/res2net50_14w_8s","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/res2next50","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/resmlp_12_224","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/resnet18","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/rexnet_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/selecsls42b","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/spnasnet_100","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/tf_efficientnet_b0","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/tinynet_a","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/visformer_small","((T([128, 1000], f16), T([128, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/nasnetalarge","((T([16, 1000], f16), T([16, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/pnasnet5large","((T([16, 1000], f16), T([16, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 2], f16), T([16, 2], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/cait_m36_384","((T([2, 1000], f16), T([2, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/AlbertForQuestionAnswering","((T([2, 512], f16), T([2, 512], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DistilBertForMaskedLM","((T([2048, 30522], f16), T([2048, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MobileBertForMaskedLM","((T([2048, 30522], f16), T([2048, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/XLNetLMHeadModel","((T([2048, 32000], f16), T([2048, 32000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/PLBartForCausalLM","((T([2048, 50005], f16), T([2048, 50005], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BartForConditionalGeneration","((T([2048, 50265], f16), T([2048, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DebertaForMaskedLM","((T([2048, 50265], f16), T([2048, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MBartForCausalLM","((T([2048, 50265], f16), T([2048, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MegatronBertForCausalLM","((T([254, 29056], f16), T([254, 29056], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/M2M100ForConditionalGeneration","((T([256, 128112], f16), T([256, 128112], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/XGLMForCausalLM","((T([256, 256008], f16), T([256, 256008], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TorchBench/pytorch_struct","((T([30, 3600], f16), T([30, 3600], f16), -1, f16), {})"]
["aten._log_softmax_backward_data.default","TorchBench/pytorch_struct","((T([30, 4771], f16), T([30, 4771], f16), -1, f16), {})"]
["aten._log_softmax_backward_data.default","TorchBench/pytorch_struct","((T([30], f16), T([30], f16), -1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/convmixer_768_32","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/convnext_base","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/dpn107","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gluon_senet154","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gluon_xception65","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/legacy_senet154","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/resnest101e","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/swsl_resnext101_32x16d","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/twins_pcpvt_base","((T([32, 1000], f16), T([32, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DistilBertForQuestionAnswering","((T([32, 128], f16), T([32, 128], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MobileBertForQuestionAnswering","((T([32, 128], f16), T([32, 128], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/GPT2ForSequenceClassification","((T([4, 2], f16), T([4, 2], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DebertaForQuestionAnswering","((T([4, 512], f16), T([4, 512], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BartForCausalLM","((T([4096, 50265], f16), T([4096, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/RobertaForCausalLM","((T([508, 30522], f16), T([508, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/OPTForCausalLM","((T([508, 50272], f16), T([508, 50272], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/ElectraForCausalLM","((T([511, 30522], f16), T([511, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DistillGPT2","((T([511, 50257], f16), T([511, 50257], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/DebertaV2ForMaskedLM","((T([512, 128100], f16), T([512, 128100], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/YituTechConvBert","((T([512, 30522], f16), T([512, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/GoogleFnet","((T([512, 32000], f16), T([512, 32000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/CamemBert","((T([512, 32005], f16), T([512, 32005], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/PegasusForConditionalGeneration","((T([512, 50265], f16), T([512, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/beit_base_patch16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/crossvit_9_240","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/cspdarknet53","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/deit_base_distilled_patch16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/densenet121","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/dla102","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/ecaresnet101d","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gmixer_24_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/gmlp_s16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/jx_nest_base","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mixer_b16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mixnet_l","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/mobilevit_s","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/pit_b_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/poolformer_m36","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/res2net101_26w_4s","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/sebotnet33ts_256","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/swin_base_patch4_window7_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/tf_mixnet_l","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/tnt_s_patch16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/vit_base_patch16_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","TIMM/volo_d1_224","((T([64, 1000], f16), T([64, 1000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BertForQuestionAnswering","((T([64, 128], f16), T([64, 128], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/RobertaForQuestionAnswering","((T([64, 128], f16), T([64, 128], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/ElectraForQuestionAnswering","((T([64, 512], f16), T([64, 512], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 128], f16), T([8, 128], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/Speech2Text2ForCausalLM","((T([8192, 10000], f16), T([8192, 10000], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BertForMaskedLM","((T([8192, 30522], f16), T([8192, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/LayoutLMForMaskedLM","((T([8192, 30522], f16), T([8192, 30522], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BlenderbotSmallForCausalLM","((T([8192, 50265], f16), T([8192, 50265], f16), 1, f16), {})"]
["aten._log_softmax_backward_data.default","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([8192, 50265], f16), T([8192, 50265], f16), 1, f16), {})"]
["aten._softmax.default","TorchBench/vision_maskrcnn","((T([0, 91], f16), -1, False), {})"]
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["aten._softmax.default","HuggingFace/BigBird","((T([1, 12, 12, 64, 512], f16), -1, False), {})"]
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["aten._softmax.default","HuggingFace/GPTNeoForSequenceClassification","((T([1, 16, 128, 128], f32), -1, False), {})"]
["aten._softmax.default","HuggingFace/DebertaV2ForMaskedLM","((T([1, 24, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1, 24, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/ElectraForCausalLM","((T([1, 4, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/YituTechConvBert","((T([1, 6, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TIMM/eca_halonext26ts","((T([1024, 1, 64, 144], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/BlenderbotSmallForCausalLM","((T([1024, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([1024, 128, 128], f16), -1, False), {})"]
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["aten._softmax.default","TIMM/eca_halonext26ts","((T([1024, 4, 64, 144], f16), -1, False), {})"]
["aten._softmax.default","TIMM/swin_base_patch4_window7_224","((T([1024, 8, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","TIMM/tnt_s_patch16_224","((T([12544, 4, 16, 16], f16), -1, False), {})"]
["aten._softmax.default","TIMM/levit_128","((T([128, 12, 16, 16], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MBartForConditionalGeneration","((T([128, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/PegasusForCausalLM","((T([128, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/TrOCRForCausalLM","((T([128, 128, 128], f16), -1, False), {})"]
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["aten._softmax.default","TIMM/levit_128","((T([128, 4, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TIMM/visformer_small","((T([128, 6, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TIMM/visformer_small","((T([128, 6, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","TIMM/coat_lite_mini","((T([128, 8, 197, 40], f16, stride=(189120, 40, 960, 1)), 2, False), {})"]
["aten._softmax.default","TIMM/coat_lite_mini","((T([128, 8, 3137, 8], f16, stride=(602304, 8, 192, 1)), 2, False), {})"]
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["aten._softmax.default","TIMM/coat_lite_mini","((T([128, 8, 785, 16], f16, stride=(301440, 16, 384, 1)), 2, False), {})"]
["aten._softmax.default","HuggingFace/DistilBertForMaskedLM","((T([16, 12, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/BERT_pytorch","((T([16, 12, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/LayoutLMForMaskedLM","((T([16, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MobileBertForMaskedLM","((T([16, 4, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/PLBartForCausalLM","((T([192, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_Longformer","((T([2, 1024, 12, 513], f16, stride=(6303744, 513, 525312, 1)), -1, True), {})"]
["aten._softmax.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 512], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_BigBird","((T([2, 12, 64, 1024], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_BigBird","((T([2, 12, 64, 448], f16), -1, False), {})"]
["aten._softmax.default","TIMM/cait_m36_384","((T([2, 16, 1, 577], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MegatronBertForCausalLM","((T([2, 16, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/cait_m36_384","((T([2, 16, 576, 576], f16, stride=(5308416, 1, 9216, 16)), -1, False), {})"]
["aten._softmax.default","HuggingFace/AlbertForMaskedLM","((T([2, 64, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/AlbertForQuestionAnswering","((T([2, 64, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TIMM/sebotnet33ts_256","((T([256, 1024, 1024], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MBartForCausalLM","((T([256, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/Speech2Text2ForCausalLM","((T([256, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/swin_base_patch4_window7_224","((T([256, 16, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","TIMM/sebotnet33ts_256","((T([256, 256, 256], f16), -1, False), {})"]
["aten._softmax.default","TIMM/mobilevit_s","((T([256, 4, 16, 16], f16), -1, False), {})"]
["aten._softmax.default","TIMM/mobilevit_s","((T([256, 4, 256, 256], f16), -1, False), {})"]
["aten._softmax.default","TIMM/mobilevit_s","((T([256, 4, 64, 64], f16), -1, False), {})"]
["aten._softmax.default","TIMM/sebotnet33ts_256","((T([256, 64, 64], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 31, 31], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 31, 33], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 33, 33], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/YituTechConvBert","((T([3072, 9, 1], f16), 1, False), {})"]
["aten._softmax.default","TIMM/twins_pcpvt_base","((T([32, 1, 3136, 49], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/BartForConditionalGeneration","((T([32, 1024, 1024], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/DistilBertForQuestionAnswering","((T([32, 12, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/M2M100ForConditionalGeneration","((T([32, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/XGLMForCausalLM","((T([32, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/resnest101e","((T([32, 2, 1, 128], f16), 1, False), {})"]
["aten._softmax.default","TorchBench/timm_resnest","((T([32, 2, 1, 128], f16), 1, False), {})"]
["aten._softmax.default","TIMM/resnest101e","((T([32, 2, 1, 256], f16), 1, False), {})"]
["aten._softmax.default","TorchBench/timm_resnest","((T([32, 2, 1, 256], f16), 1, False), {})"]
["aten._softmax.default","TIMM/resnest101e","((T([32, 2, 1, 512], f16), 1, False), {})"]
["aten._softmax.default","TorchBench/timm_resnest","((T([32, 2, 1, 512], f16), 1, False), {})"]
["aten._softmax.default","TIMM/resnest101e","((T([32, 2, 1, 64], f16), 1, False), {})"]
["aten._softmax.default","TorchBench/timm_resnest","((T([32, 2, 1, 64], f16), 1, False), {})"]
["aten._softmax.default","TIMM/twins_pcpvt_base","((T([32, 2, 784, 49], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MobileBertForQuestionAnswering","((T([32, 4, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/twins_pcpvt_base","((T([32, 5, 196, 49], f16), -1, False), {})"]
["aten._softmax.default","TIMM/twins_pcpvt_base","((T([32, 8, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/GPT2ForSequenceClassification","((T([4, 12, 1024, 1024], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/RobertaForCausalLM","((T([4, 12, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/DebertaForMaskedLM","((T([4, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/DebertaForQuestionAnswering","((T([4, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_Bert","((T([4, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_GPT2","((T([4, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/XLNetLMHeadModel","((T([4, 16, 512, 512], f16), 3, False), {})"]
["aten._softmax.default","TIMM/swin_base_patch4_window7_224","((T([4096, 4, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/OPTForCausalLM","((T([48, 128, 128], f16), -1, True), {})"]
["aten._softmax.default","TorchBench/hf_Bart","((T([48, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TIMM/botnet26t_256","((T([512, 256, 256], f16), -1, False), {})"]
["aten._softmax.default","TIMM/eca_botnext26ts_256","((T([512, 256, 256], f16), -1, False), {})"]
["aten._softmax.default","TIMM/botnet26t_256","((T([512, 64, 64], f16), -1, False), {})"]
["aten._softmax.default","TIMM/eca_botnext26ts_256","((T([512, 64, 64], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/fastNLP_Bert","((T([6, 12, 476, 476], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/BartForCausalLM","((T([64, 1024, 1024], f16), -1, False), {})"]
["aten._softmax.default","TIMM/volo_d1_224","((T([64, 12, 1, 197], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/BertForMaskedLM","((T([64, 12, 128, 128], f16), -1, False), {})"]
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["aten._softmax.default","HuggingFace/RobertaForQuestionAnswering","((T([64, 12, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/volo_d1_224","((T([64, 12, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TIMM/beit_base_patch16_224","((T([64, 12, 197, 197], f16), -1, False), {})"]
["aten._softmax.default","TIMM/vit_base_patch16_224","((T([64, 12, 197, 197], f16), -1, False), {})"]
["aten._softmax.default","TIMM/deit_base_distilled_patch16_224","((T([64, 12, 198, 198], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/PegasusForConditionalGeneration","((T([64, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TIMM/jx_nest_base","((T([64, 16, 1, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TIMM/pit_b_224","((T([64, 16, 65, 65], f16), -1, False), {})"]
["aten._softmax.default","TIMM/swin_base_patch4_window7_224","((T([64, 32, 49, 49], f16), -1, False), {})"]
["aten._softmax.default","TIMM/crossvit_9_240","((T([64, 4, 1, 197], f16), -1, False), {})"]
["aten._softmax.default","TIMM/crossvit_9_240","((T([64, 4, 1, 401], f16), -1, False), {})"]
["aten._softmax.default","TIMM/jx_nest_base","((T([64, 4, 16, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TIMM/crossvit_9_240","((T([64, 4, 197, 197], f16), -1, False), {})"]
["aten._softmax.default","TIMM/crossvit_9_240","((T([64, 4, 401, 401], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/ElectraForQuestionAnswering","((T([64, 4, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TIMM/pit_b_224","((T([64, 4, 962, 962], f16), -1, False), {})"]
["aten._softmax.default","TIMM/volo_d1_224","((T([64, 6, 196, 9, 9], f16, stride=(95256, 81, 486, 9, 1)), -1, False), {})"]
["aten._softmax.default","TIMM/tnt_s_patch16_224","((T([64, 6, 197, 197], f16), -1, False), {})"]
["aten._softmax.default","TIMM/pit_b_224","((T([64, 8, 257, 257], f16), -1, False), {})"]
["aten._softmax.default","TIMM/jx_nest_base","((T([64, 8, 4, 196, 196], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_Albert","((T([8, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/hf_DistilBert","((T([8, 12, 512, 512], f16), -1, False), {})"]
["aten._softmax.default","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 16, 128, 128], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/timm_vision_transformer","((T([8, 6, 197, 197], f16), -1, False), {})"]
["aten._softmax.default","TorchBench/speech_transformer","((T([80, 204, 204], f16), 2, False), {})"]
["aten._softmax.default","TorchBench/speech_transformer","((T([80, 22, 204], f16), 2, False), {})"]
["aten._softmax.default","TorchBench/speech_transformer","((T([80, 22, 22], f16), 2, False), {})"]
["aten._softmax.default","HuggingFace/PLBartForConditionalGeneration","((T([96, 128, 128], f16), -1, False), {})"]
["aten._softmax_backward_data.default","TorchBench/vision_maskrcnn","((T([0, 91], f16), T([0, 91], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/AllenaiLongformerBase","((T([1, 1024, 12, 513], f32), T([1, 1024, 12, 513], f32), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BigBird","((T([1, 12, 12, 64, 512], f16), T([1, 12, 12, 64, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/CamemBert","((T([1, 12, 512, 512], f16), T([1, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/DistillGPT2","((T([1, 12, 512, 512], f16), T([1, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BigBird","((T([1, 12, 64, 1024], f16), T([1, 12, 64, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BigBird","((T([1, 12, 64, 448], f16), T([1, 12, 64, 448], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/GPTNeoForCausalLM","((T([1, 16, 128, 128], f32), T([1, 16, 128, 128], f32), -1, f32), {})"]
["aten._softmax_backward_data.default","HuggingFace/GPTNeoForSequenceClassification","((T([1, 16, 128, 128], f32), T([1, 16, 128, 128], f32), -1, f32), {})"]
["aten._softmax_backward_data.default","HuggingFace/DebertaV2ForMaskedLM","((T([1, 24, 512, 512], f16), T([1, 24, 512, 512], f16), -1, f16), {})"]
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["aten._softmax_backward_data.default","HuggingFace/ElectraForCausalLM","((T([1, 4, 512, 512], f16), T([1, 4, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/YituTechConvBert","((T([1, 6, 512, 512], f16), T([1, 6, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/eca_halonext26ts","((T([1024, 1, 64, 144], f16), T([1024, 1, 64, 144], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BlenderbotSmallForCausalLM","((T([1024, 128, 128], f16), T([1024, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([1024, 128, 128], f16), T([1024, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/eca_halonext26ts","((T([1024, 4, 16, 144], f16), T([1024, 4, 16, 144], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/eca_halonext26ts","((T([1024, 4, 64, 144], f16), T([1024, 4, 64, 144], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/swin_base_patch4_window7_224","((T([1024, 8, 49, 49], f16), T([1024, 8, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/tnt_s_patch16_224","((T([12544, 4, 16, 16], f16), T([12544, 4, 16, 16], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/levit_128","((T([128, 12, 16, 16], f16), T([128, 12, 16, 16], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MBartForConditionalGeneration","((T([128, 128, 128], f16), T([128, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/PegasusForCausalLM","((T([128, 128, 128], f16), T([128, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/TrOCRForCausalLM","((T([128, 128, 128], f16), T([128, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/levit_128","((T([128, 16, 16, 49], f16), T([128, 16, 16, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/levit_128","((T([128, 4, 196, 196], f16), T([128, 4, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/visformer_small","((T([128, 6, 196, 196], f16), T([128, 6, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/visformer_small","((T([128, 6, 49, 49], f16), T([128, 6, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/coat_lite_mini","((T([128, 8, 197, 40], f16, stride=(63040, 7880, 1, 197)), T([128, 8, 197, 40], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","TIMM/coat_lite_mini","((T([128, 8, 3137, 8], f16, stride=(200768, 25096, 1, 3137)), T([128, 8, 3137, 8], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","TIMM/levit_128","((T([128, 8, 49, 196], f16), T([128, 8, 49, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/levit_128","((T([128, 8, 49, 49], f16), T([128, 8, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/coat_lite_mini","((T([128, 8, 50, 64], f16, stride=(25600, 3200, 1, 50)), T([128, 8, 50, 64], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","TIMM/coat_lite_mini","((T([128, 8, 785, 16], f16, stride=(100480, 12560, 1, 785)), T([128, 8, 785, 16], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/DistilBertForMaskedLM","((T([16, 12, 128, 128], f16), T([16, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/BERT_pytorch","((T([16, 12, 128, 128], f16), T([16, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/LayoutLMForMaskedLM","((T([16, 12, 512, 512], f16), T([16, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 12, 512, 512], f16), T([16, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MobileBertForMaskedLM","((T([16, 4, 128, 128], f16), T([16, 4, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/PLBartForCausalLM","((T([192, 128, 128], f16), T([192, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_Longformer","((T([2, 1024, 12, 513], f32), T([2, 1024, 12, 513], f32), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 512], f16), T([2, 12, 12, 64, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_BigBird","((T([2, 12, 64, 1024], f16), T([2, 12, 64, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_BigBird","((T([2, 12, 64, 448], f16), T([2, 12, 64, 448], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/cait_m36_384","((T([2, 16, 1, 577], f16), T([2, 16, 1, 577], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MegatronBertForCausalLM","((T([2, 16, 128, 128], f16), T([2, 16, 128, 128], f16), -1, f16), {})"]
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["aten._softmax_backward_data.default","HuggingFace/AlbertForMaskedLM","((T([2, 64, 512, 512], f16), T([2, 64, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/AlbertForQuestionAnswering","((T([2, 64, 512, 512], f16), T([2, 64, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/sebotnet33ts_256","((T([256, 1024, 1024], f16), T([256, 1024, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MBartForCausalLM","((T([256, 128, 128], f16), T([256, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/Speech2Text2ForCausalLM","((T([256, 128, 128], f16), T([256, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/swin_base_patch4_window7_224","((T([256, 16, 49, 49], f16), T([256, 16, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/sebotnet33ts_256","((T([256, 256, 256], f16), T([256, 256, 256], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/mobilevit_s","((T([256, 4, 16, 16], f16), T([256, 4, 16, 16], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/mobilevit_s","((T([256, 4, 256, 256], f16), T([256, 4, 256, 256], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/mobilevit_s","((T([256, 4, 64, 64], f16), T([256, 4, 64, 64], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/sebotnet33ts_256","((T([256, 64, 64], f16), T([256, 64, 64], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 31, 31], f16), T([256, 8, 31, 31], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 31, 33], f16), T([256, 8, 31, 33], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 8, 33, 33], f16), T([256, 8, 33, 33], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/YituTechConvBert","((T([3072, 9, 1], f16), T([3072, 9, 1], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/twins_pcpvt_base","((T([32, 1, 3136, 49], f16), T([32, 1, 3136, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BartForConditionalGeneration","((T([32, 1024, 1024], f16), T([32, 1024, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/DistilBertForQuestionAnswering","((T([32, 12, 128, 128], f16), T([32, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/M2M100ForConditionalGeneration","((T([32, 128, 128], f16), T([32, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/XGLMForCausalLM","((T([32, 128, 128], f16), T([32, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/resnest101e","((T([32, 2, 1, 128], f16), T([32, 2, 1, 128], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/timm_resnest","((T([32, 2, 1, 128], f16), T([32, 2, 1, 128], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/resnest101e","((T([32, 2, 1, 256], f16), T([32, 2, 1, 256], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/timm_resnest","((T([32, 2, 1, 256], f16), T([32, 2, 1, 256], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/resnest101e","((T([32, 2, 1, 512], f16), T([32, 2, 1, 512], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/timm_resnest","((T([32, 2, 1, 512], f16), T([32, 2, 1, 512], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/resnest101e","((T([32, 2, 1, 64], f16), T([32, 2, 1, 64], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/timm_resnest","((T([32, 2, 1, 64], f16), T([32, 2, 1, 64], f16), 1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/twins_pcpvt_base","((T([32, 2, 784, 49], f16), T([32, 2, 784, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MobileBertForQuestionAnswering","((T([32, 4, 128, 128], f16), T([32, 4, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/twins_pcpvt_base","((T([32, 5, 196, 49], f16), T([32, 5, 196, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/twins_pcpvt_base","((T([32, 8, 49, 49], f16), T([32, 8, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/GPT2ForSequenceClassification","((T([4, 12, 1024, 1024], f16), T([4, 12, 1024, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/RobertaForCausalLM","((T([4, 12, 128, 128], f16), T([4, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/DebertaForMaskedLM","((T([4, 12, 512, 512], f16), T([4, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/DebertaForQuestionAnswering","((T([4, 12, 512, 512], f16), T([4, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_Bert","((T([4, 12, 512, 512], f16), T([4, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_GPT2","((T([4, 12, 512, 512], f16), T([4, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/XLNetLMHeadModel","((T([4, 16, 512, 512], f16), T([4, 16, 512, 512], f16), 3, f16), {})"]
["aten._softmax_backward_data.default","TIMM/swin_base_patch4_window7_224","((T([4096, 4, 49, 49], f16), T([4096, 4, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/OPTForCausalLM","((T([48, 128, 128], f32), T([48, 128, 128], f32), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_Bart","((T([48, 512, 512], f16), T([48, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/botnet26t_256","((T([512, 256, 256], f16), T([512, 256, 256], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/eca_botnext26ts_256","((T([512, 256, 256], f16), T([512, 256, 256], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/botnet26t_256","((T([512, 64, 64], f16), T([512, 64, 64], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/eca_botnext26ts_256","((T([512, 64, 64], f16), T([512, 64, 64], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/fastNLP_Bert","((T([6, 12, 476, 476], f16), T([6, 12, 476, 476], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BartForCausalLM","((T([64, 1024, 1024], f16), T([64, 1024, 1024], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/volo_d1_224","((T([64, 12, 1, 197], f16), T([64, 12, 1, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BertForMaskedLM","((T([64, 12, 128, 128], f16), T([64, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/BertForQuestionAnswering","((T([64, 12, 128, 128], f16), T([64, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/RobertaForQuestionAnswering","((T([64, 12, 128, 128], f16), T([64, 12, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/volo_d1_224","((T([64, 12, 196, 196], f16), T([64, 12, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/beit_base_patch16_224","((T([64, 12, 197, 197], f16), T([64, 12, 197, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/vit_base_patch16_224","((T([64, 12, 197, 197], f16), T([64, 12, 197, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/deit_base_distilled_patch16_224","((T([64, 12, 198, 198], f16), T([64, 12, 198, 198], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/PegasusForConditionalGeneration","((T([64, 128, 128], f16), T([64, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/jx_nest_base","((T([64, 16, 1, 196, 196], f16), T([64, 16, 1, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/pit_b_224","((T([64, 16, 65, 65], f16), T([64, 16, 65, 65], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/swin_base_patch4_window7_224","((T([64, 32, 49, 49], f16), T([64, 32, 49, 49], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/crossvit_9_240","((T([64, 4, 1, 197], f16), T([64, 4, 1, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/crossvit_9_240","((T([64, 4, 1, 401], f16), T([64, 4, 1, 401], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/jx_nest_base","((T([64, 4, 16, 196, 196], f16), T([64, 4, 16, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/crossvit_9_240","((T([64, 4, 197, 197], f16), T([64, 4, 197, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/crossvit_9_240","((T([64, 4, 401, 401], f16), T([64, 4, 401, 401], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/ElectraForQuestionAnswering","((T([64, 4, 512, 512], f16), T([64, 4, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/pit_b_224","((T([64, 4, 962, 962], f16), T([64, 4, 962, 962], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/volo_d1_224","((T([64, 6, 196, 9, 9], f16), T([64, 6, 196, 9, 9], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/tnt_s_patch16_224","((T([64, 6, 197, 197], f16), T([64, 6, 197, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/pit_b_224","((T([64, 8, 257, 257], f16), T([64, 8, 257, 257], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TIMM/jx_nest_base","((T([64, 8, 4, 196, 196], f16), T([64, 8, 4, 196, 196], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_Albert","((T([8, 12, 512, 512], f16), T([8, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/hf_DistilBert","((T([8, 12, 512, 512], f16), T([8, 12, 512, 512], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 16, 128, 128], f16), T([8, 16, 128, 128], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/timm_vision_transformer","((T([8, 6, 197, 197], f16), T([8, 6, 197, 197], f16), -1, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/speech_transformer","((T([80, 204, 204], f16), T([80, 204, 204], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/speech_transformer","((T([80, 22, 204], f16), T([80, 22, 204], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","TorchBench/speech_transformer","((T([80, 22, 22], f16), T([80, 22, 22], f16), 2, f16), {})"]
["aten._softmax_backward_data.default","HuggingFace/PLBartForConditionalGeneration","((T([96, 128, 128], f16), T([96, 128, 128], f16), -1, f16), {})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54687], i64), T([54687, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54692], i64), T([54692, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54697], i64), T([54697, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54701], i64), T([54701, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54704], i64), T([54704, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54705], i64), T([54705, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54707], i64), T([54707, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54710], i64), T([54710, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54711], i64), T([54711, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54712], i64), T([54712, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54713], i64), T([54713, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54714], i64), T([54714, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54715], i64), T([54715, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54716], i64), T([54716, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54717], i64), T([54717, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54718], i64), T([54718, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54719], i64), T([54719, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54722], i64), T([54722, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54723], i64), T([54723, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54725], i64), T([54725, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54727], i64), T([54727, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54729], i64), T([54729, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54730], i64), T([54730, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54731], i64), T([54731, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54732], i64), T([54732, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54733], i64), T([54733, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54734], i64), T([54734, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54735], i64), T([54735, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54736], i64), T([54736, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54737], i64), T([54737, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54738], i64), T([54738, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54739], i64), T([54739, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54740], i64), T([54740, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54741], i64), T([54741, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54742], i64), T([54742, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54743], i64), T([54743, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54744], i64), T([54744, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54745], i64), T([54745, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54746], i64), T([54746, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54747], i64), T([54747, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54748], i64), T([54748, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54749], i64), T([54749, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54750], i64), T([54750, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54751], i64), T([54751, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54753], i64), T([54753, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54754], i64), T([54754, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54756], i64), T([54756, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54757], i64), T([54757, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54758], i64), T([54758, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54759], i64), T([54759, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54760], i64), T([54760, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54761], i64), T([54761, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54762], i64), T([54762, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54763], i64), T([54763, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54764], i64), T([54764, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54765], i64), T([54765, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54766], i64), T([54766, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54767], i64), T([54767, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54768], i64), T([54768, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54769], i64), T([54769, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54770], i64), T([54770, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54771], i64), T([54771, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54772], i64), T([54772, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54773], i64), T([54773, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54774], i64), T([54774, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54775], i64), T([54775, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54776], i64), T([54776, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54777], i64), T([54777, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54778], i64), T([54778, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54779], i64), T([54779, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54780], i64), T([54780, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54781], i64), T([54781, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54782], i64), T([54782, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54783], i64), T([54783, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54784], i64), T([54784, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54785], i64), T([54785, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54786], i64), T([54786, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54787], i64), T([54787, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54788], i64), T([54788, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54789], i64), T([54789, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54791], i64), T([54791, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54792], i64), T([54792, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54793], i64), T([54793, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54794], i64), T([54794, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54795], i64), T([54795, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54796], i64), T([54796, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54797], i64), T([54797, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54798], i64), T([54798, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54799], i64), T([54799, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54800], i64), T([54800, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54801], i64), T([54801, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54802], i64), T([54802, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54803], i64), T([54803, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54804], i64), T([54804, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54807], i64), T([54807, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54809], i64), T([54809, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54811], i64), T([54811, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54812], i64), T([54812, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54813], i64), T([54813, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54814], i64), T([54814, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54815], i64), T([54815, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54816], i64), T([54816, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54818], i64), T([54818, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54819], i64), T([54819, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54820], i64), T([54820, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
["aten._sparse_coo_tensor_with_dims_and_tensors.default","TorchBench/fambench_dlrm","((1, 1, [965, 192], T([1, 54821], i64), T([54821, 192], f16)), {'dtype': f16, 'layout': torch.sparse_coo, 'device': 'cuda', 'pin_memory': None})"]
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["aten.add.Tensor","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 152, 14, 14], f16, stride=(119168, 196, 14, 1)), T([128, 152, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 152, 14, 14], f16, stride=(178752, 196, 14, 1)), T([128, 152, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})"]
["aten.add.Tensor","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), T([128, 1536, 12, 12], f16)), {})"]
["aten.add.Tensor","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), T([128, 1536, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16)), {})"]
["aten.add.Tensor","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16)), {})"]
["aten.add.Tensor","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([128, 1536, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 16, 16, 49], f16), T([16, 16, 49], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 16, 384], f16), T([128, 16, 384], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16, stride=(577024, 784, 28, 1)), T([128, 160, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv2_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 162, 7, 7], f16), T([128, 162, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 162, 7, 7], f16, stride=(8526, 49, 7, 1)), T([128, 162, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 174, 7, 7], f16), T([128, 174, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 174, 7, 7], f16, stride=(9065, 49, 7, 1)), T([128, 174, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetc_100","((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 185, 7, 7], f16), T([128, 185, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16, stride=(213248, 196, 14, 1)), T([128, 192, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([1, 192, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 192, 32, 32], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 192, 6, 6], f16), T([128, 192, 6, 6], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/mnasnet_100","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/spnasnet_100","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 196, 128], f16), T([128, 196, 128], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 196, 128], f16, stride=(25088, 1, 196)), T([128, 196, 128], f16)), {})"]
["aten.add.Tensor","TIMM/resmlp_12_224","((T([128, 196, 1536], f16), T([1536], f16)), {})"]
["aten.add.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16), T([128, 196, 384], f16)), {})"]
["aten.add.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})"]
["aten.add.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16, stride=(75264, 1, 196)), T([128, 196, 384], f16)), {})"]
["aten.add.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16, stride=(75264, 1, 196)), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 197, 320], f16), T([128, 197, 320], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16, stride=(31360, 784, 28, 1)), T([128, 20, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16, stride=(70560, 49, 7, 1)), T([128, 224, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), T([128, 228, 28, 28], f16)), {})"]
["aten.add.Tensor","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16, stride=(602112, 12544, 112, 1)), T([128, 24, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 24, 48, 48], f16), T([128, 24, 48, 48], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/mnasnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv2_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), T([128, 240, 12, 12], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([128, 240, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([128, 240, 24, 24], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})"]
["aten.add.Tensor","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})"]
["aten.add.Tensor","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([128, 256, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 256, 28, 28], f16, stride=(577024, 784, 28, 1)), T([128, 256, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16)), {})"]
["aten.add.Tensor","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1))), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([128, 256, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 27, 56, 56], f16, stride=(119168, 3136, 56, 1)), T([128, 27, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1))), {})"]
["aten.add.Tensor","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([128, 28, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([128, 300, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 304, 14, 14], f16, stride=(119168, 196, 14, 1)), T([128, 304, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 304, 14, 14], f16, stride=(178752, 196, 14, 1)), T([128, 304, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 3137, 64], f16), T([128, 3137, 64], f16)), {})"]
["aten.add.Tensor","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv2_100","((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1))), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 32, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([128, 32, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([128, 32, 96, 96], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16), T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320))), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([128, 320, 14, 14], f16, stride=(62720, 1, 4480, 320))), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16, stride=(131712, 196, 14, 1)), T([128, 336, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 36, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16, stride=(225792, 3136, 56, 1)), T([128, 36, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([128, 366, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 38, 56, 56], f16), T([128, 38, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([1, 384, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 384], f16), T([128, 384], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 4, 196, 196], f16), T([4, 196, 196], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16, stride=(15680, 196, 14, 1)), T([128, 40, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 40, 24, 24], f16), T([128, 40, 24, 24], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16, stride=(47040, 49, 7, 1)), T([128, 480, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 49, 256], f16), T([128, 49, 256], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 50, 28, 28], f16, stride=(47824, 784, 28, 1)), T([128, 50, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 50, 512], f16), T([128, 50, 512], f16)), {})"]
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["aten.add.Tensor","TIMM/eca_halonext26ts","((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16)), {})"]
["aten.add.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), T([128, 512, 24, 24], f16)), {})"]
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["aten.add.Tensor","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16)), {})"]
["aten.add.Tensor","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16)), {})"]
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["aten.add.Tensor","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16)), {})"]
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["aten.add.Tensor","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16)), {})"]
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["aten.add.Tensor","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16)), {})"]
["aten.add.Tensor","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv2_100","((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})"]
["aten.add.Tensor","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([128, 640, 16, 16], f16)), {})"]
["aten.add.Tensor","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([128, 640, 8, 8], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)), {})"]
["aten.add.Tensor","TIMM/selecsls42b","((T([128, 72, 28, 28], f16, stride=(225792, 784, 28, 1)), T([128, 72, 28, 28], f16)), {})"]
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["aten.add.Tensor","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([128, 736, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/adv_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})"]
["aten.add.Tensor","TIMM/gluon_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})"]
["aten.add.Tensor","TIMM/inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})"]
["aten.add.Tensor","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([1, 768, 7, 7], f16)), {})"]
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["aten.add.Tensor","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16)), {})"]
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["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 8, 3137, 8], f16), T([128, 8, 3137, 8], f16)), {})"]
["aten.add.Tensor","TIMM/levit_128","((T([128, 8, 49, 196], f16), T([8, 49, 196], f16)), {})"]
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["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 8, 50, 64], f16), T([128, 8, 50, 64], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128, 8, 785, 16], f16), T([128, 8, 785, 16], f16)), {})"]
["aten.add.Tensor","TIMM/tinynet_a","((T([128, 80, 12, 12], f16), T([128, 80, 12, 12], f16)), {})"]
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["aten.add.Tensor","TIMM/hardcorenas_a","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mnasnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/spnasnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/rexnet_100","((T([128, 84, 14, 14], f16), T([128, 84, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([128, 840, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([128, 906, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16, stride=(36064, 196, 14, 1)), T([128, 92, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 95, 14, 14], f16), T([128, 95, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/mnasnet_100","((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16)), {})"]
["aten.add.Tensor","TIMM/mobilenetv2_100","((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16)), {})"]
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["aten.add.Tensor","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), T([128, 96, 48, 48], f16)), {})"]
["aten.add.Tensor","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16)), {})"]
["aten.add.Tensor","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16)), {})"]
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["aten.add.Tensor","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16)), {})"]
["aten.add.Tensor","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), T([128, 972, 7, 7], f16)), {})"]
["aten.add.Tensor","HuggingFace/DebertaV2ForMaskedLM","((T([128100, 1536], f16), T([128100, 1536], f16)), {})"]
["aten.add.Tensor","HuggingFace/M2M100ForConditionalGeneration","((T([128112, 1024], f16), T([128112, 1024], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([128], f16), T([128], f16)), {})"]
["aten.add.Tensor","HuggingFace/BlenderbotSmallForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/M2M100ForConditionalGeneration","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/MBartForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/MBartForConditionalGeneration","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/OPTForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/PLBartForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/PLBartForConditionalGeneration","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/PegasusForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/PegasusForConditionalGeneration","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/Speech2Text2ForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/TrOCRForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","HuggingFace/XGLMForCausalLM","((T([128], i64), 1), {})"]
["aten.add.Tensor","TorchBench/vision_maskrcnn","((T([1406, 1, 4], i32), T([1, 3, 4], f16)), {})"]
["aten.add.Tensor","TorchBench/vision_maskrcnn","((T([1438452, 1], f16), T([1438452, 1], f16)), {})"]
["aten.add.Tensor","TorchBench/vision_maskrcnn","((T([1438452], f16, stride=(4,)), T([1438452], f16)), {})"]
["aten.add.Tensor","TIMM/coat_lite_mini","((T([16, 1, 3, 3], f16), T([16, 1, 3, 3], f16)), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 1008, 42, 42], f16), T([16, 1008, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16, stride=(952560, 1764, 42, 1)), T([16, 108, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 108, 83, 83], f16), T([16, 108, 83, 83], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 1080, 42, 42], f16), T([16, 1080, 42, 42], f16)), {})"]
["aten.add.Tensor","HuggingFace/PLBartForCausalLM","((T([16, 12, 128, 128], f16), T([16, 1, 128, 128], f16)), {})"]
["aten.add.Tensor","HuggingFace/LayoutLMForMaskedLM","((T([16, 12, 512, 512], f16), T([16, 1, 1, 512], f16)), {})"]
["aten.add.Tensor","HuggingFace/LayoutLMForSequenceClassification","((T([16, 12, 512, 512], f16), T([16, 1, 1, 512], f16)), {})"]
["aten.add.Tensor","HuggingFace/MBartForCausalLM","((T([16, 128, 1024], f16), T([16, 128, 1024], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 128], f16), T([128], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 128], f16), T([16, 128, 128], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 128], f16, stride=(49152, 384, 1)), T([16, 128, 128], f16)), {})"]
["aten.add.Tensor","TorchBench/BERT_pytorch","((T([16, 128, 1], f16), 1e-06), {})"]
["aten.add.Tensor","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 128, 28, 28], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), T([1, 128, 512], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), T([16, 128, 512], f16)), {})"]
["aten.add.Tensor","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), T([512], f16)), {})"]
["aten.add.Tensor","HuggingFace/DistilBertForMaskedLM","((T([16, 128, 768], f16), T([1, 128, 768], f16)), {})"]
["aten.add.Tensor","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), T([1, 128, 768], f16)), {})"]
["aten.add.Tensor","HuggingFace/DistilBertForMaskedLM","((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})"]
["aten.add.Tensor","HuggingFace/PLBartForCausalLM","((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})"]
["aten.add.Tensor","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})"]
["aten.add.Tensor","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), T([768], f16)), {})"]
["aten.add.Tensor","TorchBench/BERT_pytorch","((T([16, 128, 768], f16, stride=(0, 0, 0)), T([16, 128, 768], f16)), {})"]
["aten.add.Tensor","HuggingFace/MBartForCausalLM","((T([16, 128], i64, stride=(0, 1)), 2), {})"]
["aten.add.Tensor","HuggingFace/PLBartForCausalLM","((T([16, 128], i64, stride=(0, 1)), 2), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 1344, 21, 21], f16), T([16, 1344, 21, 21], f16)), {})"]
["aten.add.Tensor","HuggingFace/MBartForCausalLM","((T([16, 16, 128, 128], f16), T([16, 1, 128, 128], f16)), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1))), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1)), T([16, 168, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 168, 83, 83], f16), T([16, 168, 83, 83], f16)), {})"]
["aten.add.Tensor","TIMM/nasnetalarge","((T([16, 2016, 21, 21], f16), T([16, 2016, 21, 21], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16, stride=(1905120, 1764, 42, 1)), T([16, 216, 42, 42], f16)), {})"]
["aten.add.Tensor","TIMM/pnasnet5large","((T([16, 2160, 21, 21], f16), T([16, 2160, 21, 21], f16)), {})"]
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["aten.add_.Tensor","HuggingFace/CamemBert","((T([1, 512, 768], f16), T([1, 512, 768], f16)), {})"]
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["aten.add_.Tensor","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16)), {})"]
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["aten.add_.Tensor","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
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["aten.add_.Tensor","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16)), {})"]
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["aten.add_.Tensor","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})"]
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["aten.add_.Tensor","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 128], f16), T([1, 512, 128], f16)), {})"]
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["aten.add_.Tensor","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16)), {})"]
["aten.add_.Tensor","TorchBench/mobilenet_v3_large","((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16)), {})"]
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["aten.add_.Tensor","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16)), {})"]
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["aten.add_.Tensor","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), T([32, 2048, 8, 8], f16)), {})"]
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["aten.add_.Tensor","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([32, 256, 64, 64], f16)), {})"]
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["aten.add_.Tensor","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)), {})"]
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["aten.add_.Tensor","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([32, 512, 32, 32], f16)), {})"]
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["aten.add_.Tensor","HuggingFace/RobertaForCausalLM","((T([4, 128, 768], f16), T([4, 128, 768], f16)), {})"]
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["aten.add_.Tensor","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})"]
["aten.add_.Tensor","HuggingFace/DebertaForQuestionAnswering","((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})"]
["aten.add_.Tensor","TorchBench/hf_Bert","((T([4, 512, 768], f16), T([1, 512, 768], f16)), {})"]
["aten.add_.Tensor","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16)), {})"]
["aten.add_.Tensor","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16)), {})"]
["aten.add_.Tensor","TIMM/dla102","((T([64, 1024, 7, 7], f16), T([64, 1024, 7, 7], f16)), {})"]
["aten.add_.Tensor","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16)), {})"]
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["aten.add_.Tensor","HuggingFace/RobertaForQuestionAnswering","((T([64, 128, 768], f16), T([64, 128, 768], f16)), {})"]
["aten.add_.Tensor","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16)), {})"]
["aten.add_.Tensor","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16)), {})"]
["aten.add_.Tensor","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16)), {})"]
["aten.add_.Tensor","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16)), {})"]
["aten.add_.Tensor","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16)), {})"]
["aten.add_.Tensor","HuggingFace/ElectraForQuestionAnswering","((T([64, 512, 128], f16), T([1, 512, 128], f16)), {})"]
["aten.add_.Tensor","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)), {})"]
["aten.add_.Tensor","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16)), {})"]
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["aten.add_.Tensor","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([8, 1024, 14, 14], f16)), {})"]
["aten.add_.Tensor","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 128, 1024], f16), T([1, 128, 1024], f16)), {})"]
["aten.add_.Tensor","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([8, 2048, 7, 7], f16)), {})"]
["aten.add_.Tensor","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([8, 256, 56, 56], f16)), {})"]
["aten.add_.Tensor","TorchBench/hf_Albert","((T([8, 512, 128], f16), T([1, 512, 128], f16)), {})"]
["aten.add_.Tensor","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([8, 512, 28, 28], f16)), {})"]
["aten.add_.Tensor","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([96, 128, 16, 16], f16)), {})"]
["aten.add_.Tensor","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([96, 256, 8, 8], f16)), {})"]
["aten.add_.Tensor","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16), T([96, 512, 4, 4], f16)), {})"]
["aten.add_.Tensor","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([96, 64, 32, 32], f16)), {})"]
["aten.add_.Tensor","TIMM/adv_inception_v3","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/convmixer_768_32","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/dla102","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/ecaresnet101d","((T([], i64), 1), {})"]
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["aten.add_.Tensor","TIMM/gluon_inception_v3","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/gluon_senet154","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/gluon_xception65","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/hrnet_w18","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/inception_v3","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/legacy_senet154","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/levit_128","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/nasnetalarge","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/pnasnet5large","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/res2net101_26w_4s","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/res2net50_14w_8s","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/res2next50","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/resnest101e","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/resnet18","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/rexnet_100","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/selecsls42b","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/swsl_resnext101_32x16d","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/visformer_small","((T([], i64), 1), {})"]
["aten.add_.Tensor","TIMM/volo_d1_224","((T([], i64), 1), {})"]
["aten.addcmul.default","TIMM/resmlp_12_224","((T([1, 1, 384], f16), T([1, 1, 384], f16), T([128, 196, 384], f16, stride=(75264, 1, 196))), {})"]
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["aten.addmm.default","TorchBench/shufflenet_v2_x1_0","((T([1000], f16), T([128, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
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["aten.addmm.default","TIMM/hardcorenas_a","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/lcnet_050","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/mnasnet_100","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/mobilenetv2_100","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/mobilenetv3_large_100","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/rexnet_100","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/spnasnet_100","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/tf_efficientnet_b0","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/tinynet_a","((T([1000], f16), T([128, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/repvgg_a2","((T([1000], f16), T([128, 1408], f16), T([1408, 1000], f16, stride=(1, 1408))), {})"]
["aten.addmm.default","TIMM/fbnetc_100","((T([1000], f16), T([128, 1984], f16), T([1984, 1000], f16, stride=(1, 1984))), {})"]
["aten.addmm.default","TIMM/fbnetv3_b","((T([1000], f16), T([128, 1984], f16), T([1984, 1000], f16, stride=(1, 1984))), {})"]
["aten.addmm.default","TIMM/adv_inception_v3","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/botnet26t_256","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/eca_botnext26ts_256","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/eca_halonext26ts","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/gluon_inception_v3","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/hrnet_w18","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/inception_v3","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/res2net50_14w_8s","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/res2next50","((T([1000], f16), T([128, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/nfnet_l0","((T([1000], f16), T([128, 2304], f16), T([2304, 1000], f16, stride=(1, 2304))), {})"]
["aten.addmm.default","TIMM/gernet_l","((T([1000], f16), T([128, 2560], f16), T([2560, 1000], f16, stride=(1, 2560))), {})"]
["aten.addmm.default","TIMM/dm_nfnet_f0","((T([1000], f16), T([128, 3072], f16), T([3072, 1000], f16, stride=(1, 3072))), {})"]
["aten.addmm.default","TorchBench/timm_nfnet","((T([1000], f16), T([128, 3072], f16), T([3072, 1000], f16, stride=(1, 3072))), {})"]
["aten.addmm.default","TIMM/regnety_002","((T([1000], f16), T([128, 368], f16), T([368, 1000], f16, stride=(1, 368))), {})"]
["aten.addmm.default","TIMM/levit_128","((T([1000], f16), T([128, 384], f16), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TIMM/resmlp_12_224","((T([1000], f16), T([128, 384], f16), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TorchBench/alexnet","((T([1000], f16), T([128, 4096], f16), T([4096, 1000], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/resnet18","((T([1000], f16), T([128, 512], f16), T([512, 1000], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/coat_lite_mini","((T([1000], f16), T([128, 512], f16, stride=(25600, 1)), T([512, 1000], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/visformer_small","((T([1000], f16), T([128, 768], f16), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/nasnetalarge","((T([1000], f16), T([16, 4032], f16), T([4032, 1000], f16, stride=(1, 4032))), {})"]
["aten.addmm.default","TIMM/pnasnet5large","((T([1000], f16), T([16, 4320], f16), T([4320, 1000], f16, stride=(1, 4320))), {})"]
["aten.addmm.default","TorchBench/resnet18","((T([1000], f16), T([16, 512], f16), T([512, 1000], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/cait_m36_384","((T([1000], f16), T([2, 768], f16, stride=(443136, 1)), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/convnext_base","((T([1000], f16), T([32, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TorchBench/timm_vovnet","((T([1000], f16), T([32, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TorchBench/mnasnet1_0","((T([1000], f16), T([32, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TorchBench/mobilenet_v3_large","((T([1000], f16), T([32, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TorchBench/timm_efficientnet","((T([1000], f16), T([32, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/gluon_senet154","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/gluon_xception65","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/legacy_senet154","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/resnest101e","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/swsl_resnext101_32x16d","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TorchBench/resnet50","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TorchBench/timm_resnest","((T([1000], f16), T([32, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TorchBench/timm_regnet","((T([1000], f16), T([32, 2240], f16), T([2240, 1000], f16, stride=(1, 2240))), {})"]
["aten.addmm.default","TIMM/twins_pcpvt_base","((T([1000], f16), T([32, 512], f16), T([512, 1000], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/convmixer_768_32","((T([1000], f16), T([32, 768], f16), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TorchBench/densenet121","((T([1000], f16), T([4, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/cspdarknet53","((T([1000], f16), T([64, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/densenet121","((T([1000], f16), T([64, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/pit_b_224","((T([1000], f16), T([64, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/swin_base_patch4_window7_224","((T([1000], f16), T([64, 1024], f16), T([1024, 1000], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/sebotnet33ts_256","((T([1000], f16), T([64, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TIMM/crossvit_9_240","((T([1000], f16), T([64, 128], f16, stride=(51328, 1)), T([128, 1000], f16, stride=(1, 128))), {})"]
["aten.addmm.default","TIMM/mixnet_l","((T([1000], f16), T([64, 1536], f16), T([1536, 1000], f16, stride=(1, 1536))), {})"]
["aten.addmm.default","TIMM/tf_mixnet_l","((T([1000], f16), T([64, 1536], f16), T([1536, 1000], f16, stride=(1, 1536))), {})"]
["aten.addmm.default","TIMM/ecaresnet101d","((T([1000], f16), T([64, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/res2net101_26w_4s","((T([1000], f16), T([64, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TIMM/gmlp_s16_224","((T([1000], f16), T([64, 256], f16), T([256, 1000], f16, stride=(1, 256))), {})"]
["aten.addmm.default","TIMM/crossvit_9_240","((T([1000], f16), T([64, 256], f16, stride=(50432, 1)), T([256, 1000], f16, stride=(1, 256))), {})"]
["aten.addmm.default","TIMM/gmixer_24_224","((T([1000], f16), T([64, 384], f16), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TIMM/tnt_s_patch16_224","((T([1000], f16), T([64, 384], f16, stride=(75648, 1)), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TIMM/volo_d1_224","((T([1000], f16), T([64, 384], f16, stride=(75648, 1)), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TorchBench/vgg16","((T([1000], f16), T([64, 4096], f16), T([4096, 1000], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/jx_nest_base","((T([1000], f16), T([64, 512], f16), T([512, 1000], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/mobilevit_s","((T([1000], f16), T([64, 640], f16), T([640, 1000], f16, stride=(1, 640))), {})"]
["aten.addmm.default","TIMM/beit_base_patch16_224","((T([1000], f16), T([64, 768], f16), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/mixer_b16_224","((T([1000], f16), T([64, 768], f16), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/poolformer_m36","((T([1000], f16), T([64, 768], f16), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/vit_base_patch16_224","((T([1000], f16), T([64, 768], f16, stride=(151296, 1)), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TIMM/deit_base_distilled_patch16_224","((T([1000], f16), T([64, 768], f16, stride=(152064, 1)), T([768, 1000], f16, stride=(1, 768))), {})"]
["aten.addmm.default","TorchBench/resnext50_32x4d","((T([1000], f16), T([8, 2048], f16), T([2048, 1000], f16, stride=(1, 2048))), {})"]
["aten.addmm.default","TorchBench/timm_vision_transformer","((T([1000], f16), T([8, 384], f16, stride=(75648, 1)), T([384, 1000], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TorchBench/mobilenet_v2","((T([1000], f16), T([96, 1280], f16), T([1280, 1000], f16, stride=(1, 1280))), {})"]
["aten.addmm.default","TorchBench/vision_maskrcnn","((T([1024], f16), T([0, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TorchBench/vision_maskrcnn","((T([1024], f16), T([0, 12544], f16), T([12544, 1024], f16, stride=(1, 12544))), {})"]
["aten.addmm.default","TIMM/coat_lite_mini","((T([1024], f16), T([100480, 128], f16), T([128, 1024], f16, stride=(1, 128))), {})"]
["aten.addmm.default","HuggingFace/MBartForConditionalGeneration","((T([1024], f16), T([1024, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/MegatronBertForQuestionAnswering","((T([1024], f16), T([1024, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/PegasusForCausalLM","((T([1024], f16), T([1024, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/TrOCRForCausalLM","((T([1024], f16), T([1024, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/MBartForConditionalGeneration","((T([1024], f16), T([1024, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/MegatronBertForQuestionAnswering","((T([1024], f16), T([1024, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/PegasusForCausalLM","((T([1024], f16), T([1024, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/TrOCRForCausalLM","((T([1024], f16), T([1024, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/twins_pcpvt_base","((T([1024], f16), T([1568, 512], f16), T([512, 1024], f16, stride=(1, 512))), {})"]
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["aten.addmm.default","HuggingFace/XLNetLMHeadModel","((T([1024], f16), T([2048, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/twins_pcpvt_base","((T([1024], f16), T([25088, 128], f16), T([128, 1024], f16, stride=(1, 128))), {})"]
["aten.addmm.default","HuggingFace/M2M100ForConditionalGeneration","((T([1024], f16), T([256, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/MegatronBertForCausalLM","((T([1024], f16), T([256, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/XGLMForCausalLM","((T([1024], f16), T([256, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/M2M100ForConditionalGeneration","((T([1024], f16), T([256, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/MegatronBertForCausalLM","((T([1024], f16), T([256, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/XGLMForCausalLM","((T([1024], f16), T([256, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TorchBench/nvidia_deeprecommender","((T([1024], f16), T([256, 512], f16), T([512, 1024], f16, stride=(1, 512))), {})"]
["aten.addmm.default","TIMM/swin_base_patch4_window7_224","((T([1024], f16), T([3136, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/swin_base_patch4_window7_224","((T([1024], f16), T([3136, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","HuggingFace/ElectraForQuestionAnswering","((T([1024], f16), T([32768, 256], f16), T([256, 1024], f16, stride=(1, 256))), {})"]
["aten.addmm.default","HuggingFace/BartForCausalLM","((T([1024], f16), T([4096, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/BartForCausalLM","((T([1024], f16), T([4096, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/pit_b_224","((T([1024], f16), T([4160, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","TIMM/pit_b_224","((T([1024], f16), T([4160, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/swin_base_patch4_window7_224","((T([1024], f16), T([50176, 256], f16), T([256, 1024], f16, stride=(1, 256))), {})"]
["aten.addmm.default","HuggingFace/PegasusForConditionalGeneration","((T([1024], f16), T([512, 1024], f16), T([1024, 1024], f16, stride=(1, 1024))), {})"]
["aten.addmm.default","HuggingFace/ElectraForCausalLM","((T([1024], f16), T([512, 256], f16), T([256, 1024], f16, stride=(1, 256))), {})"]
["aten.addmm.default","HuggingFace/PegasusForConditionalGeneration","((T([1024], f16), T([512, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.addmm.default","TIMM/pit_b_224","((T([1024], f16), T([61568, 256], f16), T([256, 1024], f16, stride=(1, 256))), {})"]
["aten.addmm.default","TorchBench/timm_vision_transformer","((T([1152], f16), T([1576, 384], f16), T([384, 1152], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TIMM/volo_d1_224","((T([1152], f16), T([64, 384], f16), T([384, 1152], f16, stride=(1, 384))), {})"]
["aten.addmm.default","TIMM/coat_lite_mini","((T([1280], f16), T([25216, 320], f16), T([320, 1280], f16, stride=(1, 320))), {})"]
["aten.addmm.default","TorchBench/mobilenet_v3_large","((T([1280], f16), T([32, 960], f16), T([960, 1280], f16, stride=(1, 960))), {})"]
["aten.addmm.default","TIMM/twins_pcpvt_base","((T([1280], f16), T([6272, 320], f16), T([320, 1280], f16, stride=(1, 320))), {})"]
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["aten.avg_pool2d.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TorchBench/densenet121","((T([4, 256, 28, 28], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TorchBench/densenet121","((T([4, 512, 14, 14], f16), [2, 2], [2, 2]), {})"]
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["aten.avg_pool2d.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), [2, 2]), {})"]
["aten.avg_pool2d.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), [2, 2]), {})"]
["aten.avg_pool2d.default","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), [2, 2]), {})"]
["aten.avg_pool2d.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), [2, 2]), {})"]
["aten.avg_pool2d.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), [2, 2], [2, 2], [0, 0], True, False), {})"]
["aten.avg_pool2d.default","TIMM/res2net101_26w_4s","((T([64, 104, 28, 28], f16, stride=(326144, 784, 28, 1)), [3, 3], [2, 2], [1, 1]), {})"]
["aten.avg_pool2d.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), [3, 3], [1, 1], [1, 1], False, False), {})"]
["aten.avg_pool2d.default","TIMM/volo_d1_224","((T([64, 192, 28, 28], f16, stride=(150528, 1, 5376, 192)), [2, 2], [2, 2], [0, 0], True), {})"]
["aten.avg_pool2d.default","TIMM/res2net101_26w_4s","((T([64, 208, 14, 14], f16, stride=(163072, 196, 14, 1)), [3, 3], [2, 2], [1, 1]), {})"]
["aten.avg_pool2d.default","TIMM/densenet121","((T([64, 256, 28, 28], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), [2, 2], [2, 2], [0, 0], True, False), {})"]
["aten.avg_pool2d.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16, stride=(326144, 3136, 56, 1)), [3, 3], [1, 1], [1, 1]), {})"]
["aten.avg_pool2d.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), [3, 3], [1, 1], [1, 1], False, False), {})"]
["aten.avg_pool2d.default","TIMM/densenet121","((T([64, 512, 14, 14], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TIMM/sebotnet33ts_256","((T([64, 512, 16, 16], f16), [2, 2], [2, 2]), {})"]
["aten.avg_pool2d.default","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), [2, 2], [2, 2], [0, 0], True, False), {})"]
["aten.avg_pool2d.default","TIMM/res2net101_26w_4s","((T([64, 52, 56, 56], f16, stride=(652288, 3136, 56, 1)), [3, 3], [2, 2], [1, 1]), {})"]
["aten.avg_pool2d.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), [3, 3], [1, 1], [1, 1], False, False), {})"]
["aten.avg_pool2d.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), [3, 3], [1, 1], [1, 1], False, False), {})"]
["aten.avg_pool2d.default","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16), [4, 4]), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 1280, 8, 8], f16), T([128, 1280, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([128, 1536, 12, 12], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([128, 1536, 12, 12], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([128, 1536, 14, 14], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([128, 256, 48, 48], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([128, 256, 48, 48], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nfnet_l0","((T([128, 256, 28, 28], f16), T([128, 256, 56, 56], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 256, 35, 35], f16), T([128, 256, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2next50","((T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([128, 256, 14, 14], f16, stride=(200704, 196, 14, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([128, 28, 56, 56], f16, stride=(702464, 3136, 56, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 288, 35, 35], f16), T([128, 288, 35, 35], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2next50","((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/dm_nfnet_f0","((T([128, 512, 12, 12], f16), T([128, 512, 24, 24], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_nfnet","((T([128, 512, 12, 12], f16), T([128, 512, 24, 24], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nfnet_l0","((T([128, 512, 14, 14], f16), T([128, 512, 28, 28], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([128, 512, 16, 16], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 8, 8], f16), T([128, 512, 16, 16], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([128, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/adv_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/gluon_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16), [3, 3], [1, 1], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 1008, 21, 21], f16), T([16, 1008, 42, 42], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/pnasnet5large","((T([16, 1080, 21, 21], f16), T([16, 1080, 42, 42], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 83, 83], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1)), T([16, 168, 42, 42], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 2016, 11, 11], f16), T([16, 2016, 21, 21], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/pnasnet5large","((T([16, 2160, 11, 11], f16), T([16, 2160, 21, 21], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/pnasnet5large","((T([16, 270, 42, 42], f16), T([16, 270, 83, 83], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1)), T([16, 336, 21, 21], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1)), T([16, 336, 43, 43], f16), [3, 3], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(889056, 441, 21, 1)), T([16, 336, 21, 21], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1)), T([16, 42, 167, 167], f16), [3, 3], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1)), T([16, 42, 83, 83], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1)), T([16, 672, 11, 11], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1)), T([16, 672, 23, 23], f16), [3, 3], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(487872, 121, 11, 1)), T([16, 672, 11, 11], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1)), T([16, 84, 42, 42], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1)), T([16, 84, 85, 85], f16), [3, 3], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/nasnetalarge","((T([16, 96, 83, 83], f16), T([16, 96, 165, 165], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/pnasnet5large","((T([16, 96, 83, 83], f16), T([16, 96, 165, 165], f16), [1, 1], [2, 2], [0, 0], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 1024, 7, 7], f16), T([32, 1024, 14, 14], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16), T([32, 1024, 16, 16], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 128, 28, 28], f16), T([32, 128, 56, 56], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16), T([32, 128, 64, 64], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 256, 14, 14], f16), T([32, 256, 28, 28], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16), T([32, 256, 32, 32], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), T([32, 256, 56, 56], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([32, 256, 64, 64], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), T([32, 512, 28, 28], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([32, 512, 32, 32], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/timm_resnest","((T([32, 512, 7, 7], f16), T([32, 512, 14, 14], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/resnest101e","((T([32, 512, 8, 8], f16), T([32, 512, 16, 16], f16), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 128, 56, 56], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/densenet121","((T([4, 256, 14, 14], f16), T([4, 256, 28, 28], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/densenet121","((T([4, 512, 7, 7], f16), T([4, 512, 14, 14], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/Super_SloMo","((T([6, 128, 44, 44], f16), T([6, 128, 88, 88], f16), [2, 2], [], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/Super_SloMo","((T([6, 256, 22, 22], f16), T([6, 256, 44, 44], f16), [2, 2], [], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/Super_SloMo","((T([6, 32, 176, 176], f16), T([6, 32, 352, 352], f16), [2, 2], [], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/Super_SloMo","((T([6, 512, 11, 11], f16), T([6, 512, 22, 22], f16), [2, 2], [], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TorchBench/Super_SloMo","((T([6, 64, 88, 88], f16), T([6, 64, 176, 176], f16), [2, 2], [], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/ecaresnet101d","((T([64, 1024, 7, 7], f16), T([64, 1024, 14, 14], f16), [2, 2], [2, 2], [0, 0], True, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16, stride=(81536, 196, 14, 1)), T([64, 104, 28, 28], f16, stride=(326144, 784, 28, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 128, 56, 56], f16), [2, 2], [2, 2], [0, 0], False, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/volo_d1_224","((T([64, 192, 14, 14], f16, stride=(37632, 1, 2688, 192)), T([64, 192, 28, 28], f16, stride=(150528, 1, 5376, 192)), [2, 2], [2, 2], [0, 0], True, True, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([64, 192, 28, 28], f16), [3, 3], [1, 1], [1, 1], False, False, None), {})"]
["aten.avg_pool2d_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16, stride=(40768, 49, 7, 1)), T([64, 208, 14, 14], f16, stride=(163072, 196, 14, 1)), [3, 3], [2, 2], [1, 1], False, True, None), {})"]
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["aten.bmm.default","HuggingFace/BigBird","((T([12, 448, 64], f16, stride=(28672, 1, 448)), T([12, 64, 64], f16, stride=(64, 768, 1))), {})"]
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["aten.bmm.default","HuggingFace/MBartForConditionalGeneration","((T([128, 128, 128], f16), T([128, 128, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/PegasusForCausalLM","((T([128, 128, 128], f16), T([128, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/TrOCRForCausalLM","((T([128, 128, 128], f16), T([128, 128, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/MobileBertForQuestionAnswering","((T([128, 128, 128], f16, stride=(16384, 1, 128)), T([128, 128, 32], f16)), {})"]
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["aten.bmm.default","TIMM/levit_128","((T([128, 128, 196], f16), T([128, 196, 256], f16)), {})"]
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["aten.bmm.default","HuggingFace/MobileBertForQuestionAnswering","((T([128, 128, 32], f16), T([128, 32, 128], f16, stride=(4096, 1, 32))), {})"]
["aten.bmm.default","HuggingFace/MegatronBertForQuestionAnswering","((T([128, 128, 64], f16), T([128, 64, 128], f16)), {})"]
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["aten.bmm.default","TIMM/resmlp_12_224","((T([128, 196, 1536], f16), T([128, 1536, 384], f16, stride=(0, 384, 1))), {})"]
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["aten.bmm.default","TIMM/resmlp_12_224","((T([128, 384, 196], f16), T([128, 196, 1536], f16)), {})"]
["aten.bmm.default","HuggingFace/AlbertForMaskedLM","((T([128, 512, 512], f16), T([128, 512, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/AlbertForQuestionAnswering","((T([128, 512, 512], f16), T([128, 512, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/AlbertForMaskedLM","((T([128, 512, 512], f16), T([128, 512, 64], f16, stride=(32768, 1, 512))), {})"]
["aten.bmm.default","HuggingFace/AlbertForQuestionAnswering","((T([128, 512, 512], f16), T([128, 512, 64], f16, stride=(32768, 1, 512))), {})"]
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["aten.bmm.default","HuggingFace/AlbertForMaskedLM","((T([128, 512, 64], f16), T([128, 64, 512], f16)), {})"]
["aten.bmm.default","HuggingFace/AlbertForQuestionAnswering","((T([128, 512, 64], f16), T([128, 64, 512], f16)), {})"]
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["aten.bmm.default","HuggingFace/AlbertForQuestionAnswering","((T([128, 512, 64], f16), T([128, 64, 512], f16, stride=(32768, 1, 64))), {})"]
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["aten.bmm.default","HuggingFace/AlbertForQuestionAnswering","((T([128, 64, 512], f16, stride=(32768, 1, 64)), T([128, 512, 512], f16)), {})"]
["aten.bmm.default","HuggingFace/BigBird","((T([144, 192, 64], f16, stride=(32768, 1, 512)), T([144, 64, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/BigBird","((T([144, 64, 192], f16), T([144, 192, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/BigBird","((T([144, 64, 192], f16, stride=(32768, 512, 1)), T([144, 192, 64], f16)), {})"]
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["aten.bmm.default","TIMM/levit_128","((T([1536, 16, 16], f16), T([1536, 16, 16], f16)), {})"]
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["aten.bmm.default","TIMM/levit_128","((T([1536, 16, 16], f16), T([1536, 16, 32], f16)), {})"]
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["aten.bmm.default","HuggingFace/GPTNeoForCausalLM","((T([16, 128, 128], f16), T([16, 128, 128], f16, stride=(128, 2048, 1))), {})"]
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["aten.bmm.default","HuggingFace/GPTNeoForSequenceClassification","((T([16, 128, 128], f32, stride=(128, 2048, 1)), T([16, 128, 128], f32, stride=(128, 1, 2048))), {})"]
["aten.bmm.default","TIMM/twins_pcpvt_base","((T([160, 196, 49], f16), T([160, 49, 64], f16)), {})"]
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["aten.bmm.default","TIMM/twins_pcpvt_base","((T([160, 196, 64], f16), T([160, 64, 49], f16)), {})"]
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["aten.bmm.default","TIMM/twins_pcpvt_base","((T([160, 49, 196], f16, stride=(9604, 1, 49)), T([160, 196, 64], f16)), {})"]
["aten.bmm.default","TIMM/twins_pcpvt_base","((T([160, 64, 196], f16, stride=(12544, 1, 64)), T([160, 196, 49], f16)), {})"]
["aten.bmm.default","TIMM/swin_base_patch4_window7_224","((T([16384, 32, 49], f16, stride=(1568, 1, 32)), T([16384, 49, 49], f16)), {})"]
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["aten.bmm.default","HuggingFace/DistilBertForMaskedLM","((T([192, 128, 128], f16), T([192, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/PLBartForCausalLM","((T([192, 128, 128], f16), T([192, 128, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/LayoutLMForMaskedLM","((T([192, 512, 512], f16), T([192, 512, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/LayoutLMForSequenceClassification","((T([192, 512, 512], f16), T([192, 512, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/LayoutLMForSequenceClassification","((T([192, 64, 512], f16, stride=(32768, 1, 64)), T([192, 512, 512], f16)), {})"]
["aten.bmm.default","TIMM/levit_128","((T([2048, 16, 16], f16), T([2048, 16, 49], f16)), {})"]
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["aten.bmm.default","TIMM/levit_128","((T([2048, 16, 64], f16), T([2048, 64, 49], f16, stride=(3136, 1, 64))), {})"]
["aten.bmm.default","TIMM/jx_nest_base","((T([2048, 196, 196], f16), T([2048, 196, 32], f16)), {})"]
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["aten.bmm.default","TIMM/swin_base_patch4_window7_224","((T([4096, 49, 32], f16), T([4096, 32, 49], f16)), {})"]
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["aten.bmm.default","HuggingFace/GPT2ForSequenceClassification","((T([48, 1024, 1024], f16), T([48, 1024, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/GPT2ForSequenceClassification","((T([48, 1024, 1024], f16), T([48, 1024, 64], f16, stride=(65536, 1, 1024))), {})"]
["aten.bmm.default","HuggingFace/GPT2ForSequenceClassification","((T([48, 1024, 1024], f16, stride=(1048576, 1, 1024)), T([48, 1024, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/GPT2ForSequenceClassification","((T([48, 1024, 64], f16), T([48, 64, 1024], f16)), {})"]
["aten.bmm.default","HuggingFace/GPT2ForSequenceClassification","((T([48, 1024, 64], f16), T([48, 64, 1024], f16, stride=(65536, 1, 64))), {})"]
["aten.bmm.default","HuggingFace/OPTForCausalLM","((T([48, 128, 128], f16), T([48, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/RobertaForCausalLM","((T([48, 128, 128], f16), T([48, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/RobertaForCausalLM","((T([48, 128, 128], f16), T([48, 128, 64], f16, stride=(8192, 1, 128))), {})"]
["aten.bmm.default","HuggingFace/OPTForCausalLM","((T([48, 128, 128], f16, stride=(16384, 1, 128)), T([48, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/RobertaForCausalLM","((T([48, 128, 128], f16, stride=(16384, 1, 128)), T([48, 128, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/RobertaForCausalLM","((T([48, 128, 64], f16), T([48, 64, 128], f16, stride=(8192, 1, 64))), {})"]
["aten.bmm.default","TorchBench/timm_vision_transformer","((T([48, 197, 197], f16), T([48, 197, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/AllenaiLongformerBase","((T([48, 256, 768], f16, stride=(197120, 769, 1)), T([48, 768, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/DebertaForMaskedLM","((T([48, 512, 512], f16), T([48, 512, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/DebertaForQuestionAnswering","((T([48, 512, 512], f16), T([48, 512, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/DebertaForQuestionAnswering","((T([48, 512, 512], f16), T([48, 512, 64], f16, stride=(32768, 1, 512))), {})"]
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["aten.bmm.default","TIMM/eca_botnext26ts_256","((T([512, 256, 256], f16), T([512, 256, 64], f16, stride=(16384, 1, 256))), {})"]
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["aten.bmm.default","TIMM/eca_botnext26ts_256","((T([512, 256, 256], f16, stride=(65536, 1, 256)), T([512, 256, 128], f16, stride=(32768, 1, 256))), {})"]
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["aten.bmm.default","TIMM/pit_b_224","((T([512, 257, 257], f16), T([512, 257, 64], f16)), {})"]
["aten.bmm.default","TIMM/pit_b_224","((T([512, 257, 257], f16), T([512, 257, 64], f16, stride=(16448, 1, 257))), {})"]
["aten.bmm.default","TIMM/pit_b_224","((T([512, 257, 257], f16, stride=(66049, 1, 257)), T([512, 257, 64], f16)), {})"]
["aten.bmm.default","TIMM/pit_b_224","((T([512, 257, 64], f16), T([512, 64, 257], f16)), {})"]
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["aten.bmm.default","HuggingFace/XLNetLMHeadModel","((T([64, 512, 1024], f16), T([64, 1024, 64], f16, stride=(64, 4096, 1))), {})"]
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["aten.bmm.default","HuggingFace/XLNetLMHeadModel","((T([64, 512, 512], f16, stride=(262144, 1, 512)), T([64, 512, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/XLNetLMHeadModel","((T([64, 64, 512], f16, stride=(64, 1, 4096)), T([64, 512, 512], f16)), {})"]
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["aten.bmm.default","TIMM/gmlp_s16_224","((T([64, 768, 196], f16, stride=(150528, 1, 768)), T([64, 196, 196], f16, stride=(0, 1, 196))), {})"]
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["aten.bmm.default","TIMM/mixer_b16_224","((T([64, 768, 384], f16), T([64, 384, 196], f16, stride=(0, 196, 1))), {})"]
["aten.bmm.default","TIMM/twins_pcpvt_base","((T([64, 784, 49], f16), T([64, 49, 64], f16)), {})"]
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["aten.bmm.default","TIMM/twins_pcpvt_base","((T([64, 784, 64], f16), T([64, 64, 49], f16)), {})"]
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["aten.bmm.default","TorchBench/fastNLP_Bert","((T([72, 476, 476], f16), T([72, 476, 64], f16)), {})"]
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["aten.bmm.default","TorchBench/speech_transformer","((T([80, 204, 204], f16), T([80, 204, 64], f16)), {})"]
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["aten.bmm.default","TorchBench/speech_transformer","((T([80, 204, 22], f16, stride=(4488, 1, 204)), T([80, 22, 64], f16)), {})"]
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["aten.bmm.default","TorchBench/speech_transformer","((T([80, 22, 204], f16), T([80, 204, 64], f16)), {})"]
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["aten.bmm.default","HuggingFace/PLBartForConditionalGeneration","((T([96, 128, 128], f16), T([96, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/PLBartForConditionalGeneration","((T([96, 128, 128], f16, stride=(16384, 1, 128)), T([96, 128, 64], f16)), {})"]
["aten.bmm.default","HuggingFace/PLBartForConditionalGeneration","((T([96, 128, 64], f16), T([96, 64, 128], f16, stride=(8192, 1, 64))), {})"]
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["aten.cat.default","TorchBench/vision_maskrcnn","(([T([0], f32), T([0], f32), T([0], f32), T([0], f32)],), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([0], i64), T([0], i64), T([0], i64), T([0], i64)],), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 1, 1, 192], f16), T([1, 1, 1, 64], f16), T([1, 1, 1, 192], f16)], 3), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 1, 1, 64], f16), T([1, 1, 1, 192], f16), T([1, 1, 1, 192], f16)], 3), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 1, 64, 64], f16), T([1, 12, 1, 64, 64], f16), T([1, 12, 12, 64, 64], f16), T([1, 12, 1, 64, 64], f16), T([1, 12, 1, 64, 64], f16)], 2), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 12, 64, 64], f16), T([1, 12, 12, 64, 192], f16), T([1, 12, 12, 64, 192], f16), T([1, 12, 12, 64, 64], f16)], -1), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 12, 64, 64], f16, stride=(768, 64, 49152, 768, 1)), T([1, 12, 12, 64, 64], f16, stride=(768, 64, 49152, 768, 1)), T([1, 12, 12, 64, 64], f16, stride=(768, 64, 49152, 768, 1))], 3), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([1, 12, 14, 3], i64), T([1, 12, 14, 3], i64)],), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 14, 3], i64)],), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 64, 256], f32), T([1, 12, 64, 192], f32, stride=(2064384, 172032, 192, 1))], 3), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 64, 64], f16, stride=(768, 64, 768, 1)), T([1, 12, 64, 64], f16, stride=(768, 64, 768, 1)), T([1, 12, 64, 64], f16, stride=(768, 64, 768, 1)), T([1, 12, 64, 64], f16, stride=(768, 64, 768, 1)), T([1, 12, 192, 64], f16, stride=(2064384, 172032, 64, 1))], 2), {})"]
["aten.cat.default","HuggingFace/BigBird","(([T([1, 12, 64], f32), T([1, 12, 64], f32), T([1, 12, 64], f32)], 2), {})"]
["aten.cat.default","TorchBench/pytorch_unet","(([T([1, 128, 320, 479], f16), T([1, 128, 320, 479], f16)], 1), {})"]
["aten.cat.default","TorchBench/pytorch_unet","(([T([1, 256, 160, 239], f16), T([1, 256, 160, 239], f16)], 1), {})"]
["aten.cat.default","HuggingFace/DebertaV2ForQuestionAnswering","(([T([1, 512, 1], f16), T([1, 512, 1], f16)], 2), {})"]
["aten.cat.default","HuggingFace/YituTechConvBert","(([T([1, 512, 6, 64], f16), T([1, 512, 6, 64], f16)], 2), {})"]
["aten.cat.default","HuggingFace/DistillGPT2","(([T([1, 512, 768], f16), T([1, 512, 768], f16, stride=(512, 1, 512)), T([1, 512, 768], f16)], 2), {})"]
["aten.cat.default","TorchBench/pytorch_unet","(([T([1, 512, 80, 119], f16), T([1, 512, 80, 119], f16)], 1), {})"]
["aten.cat.default","TorchBench/timm_efficientdet","(([T([1, 57600, 4], f16), T([1, 14400, 4], f16), T([1, 3600, 4], f16), T([1, 900, 4], f16), T([1, 225, 4], f16)], 1), {})"]
["aten.cat.default","TorchBench/timm_efficientdet","(([T([1, 57600, 90], f16), T([1, 14400, 90], f16), T([1, 3600, 90], f16), T([1, 900, 90], f16), T([1, 225, 90], f16)], 1), {})"]
["aten.cat.default","TorchBench/pytorch_unet","(([T([1, 64, 640, 959], f16), T([1, 64, 640, 959], f16)], 1), {})"]
["aten.cat.default","TorchBench/timm_efficientdet","(([T([100, 4], f32), T([100, 1], f32), T([100, 1], f32)], 1), {})"]
["aten.cat.default","TIMM/eca_halonext26ts","(([T([1024, 1, 144, 16], f16, stride=(2304, 2304, 1, 144)), T([1024, 1, 144, 64], f16)], 3), {})"]
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["aten.cat.default","TIMM/eca_halonext26ts","(([T([1024, 4, 144, 16], f16, stride=(9216, 2304, 1, 144)), T([1024, 4, 144, 32], f16)], 3), {})"]
["aten.cat.default","TIMM/eca_halonext26ts","(([T([1024, 4, 144, 16], f16, stride=(9216, 2304, 1, 144)), T([1024, 4, 144, 64], f16)], 3), {})"]
["aten.cat.default","HuggingFace/XLNetLMHeadModel","(([T([1024, 512], f32), T([1024, 512], f32)], -1), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([10], i64), T([1], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([11], i64), T([1], i64)],), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 128], f16, stride=(0, 128, 1)), T([128, 784, 128], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 128], f16, stride=(100480, 128, 1)), T([128, 784, 128], f16, stride=(100352, 1, 784))], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 320], f16, stride=(0, 320, 1)), T([128, 196, 320], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 320], f16, stride=(63040, 320, 1)), T([128, 196, 320], f16, stride=(62720, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 512], f16, stride=(0, 512, 1)), T([128, 49, 512], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 512], f16, stride=(25600, 512, 1)), T([128, 49, 512], f16, stride=(25088, 1, 49))], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 64], f16, stride=(0, 64, 1)), T([128, 3136, 64], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 1, 64], f16, stride=(200768, 64, 1)), T([128, 3136, 64], f16, stride=(200704, 1, 3136))], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 100, 14, 14], f16), T([128, 100, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 106, 14, 14], f16), T([128, 11, 14, 14], f16, stride=(22932, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1))], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([128, 116, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 117, 14, 14], f16), T([128, 11, 14, 14], f16, stride=(25088, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 12, 56, 56], f16), T([128, 12, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 128, 7, 7], f16), T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 128, 7, 7], f16, stride=(6272, 1, 896, 128)), T([128, 192, 7, 7], f16, stride=(9408, 1, 1344, 192)), T([128, 192, 7, 7], f16, stride=(9408, 1, 1344, 192))], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 140, 7, 7], f16), T([128, 11, 7, 7], f16, stride=(7399, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 144, 28, 28], f16), T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16), T([128, 144, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 144, 28, 28], f16), T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 151, 7, 7], f16), T([128, 11, 7, 7], f16, stride=(7938, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/levit_128","(([T([128, 16, 12, 16], f16, stride=(3072, 16, 256, 1)), T([128, 16, 12, 16], f16, stride=(3072, 1, 256, 16)), T([128, 16, 12, 32], f16, stride=(6144, 32, 512, 1))], 3), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 16, 56, 56], f16), T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 16, 56, 56], f16, stride=(50176, 1, 896, 16)), T([128, 24, 56, 56], f16, stride=(75264, 1, 1344, 24)), T([128, 24, 56, 56], f16, stride=(75264, 1, 1344, 24))], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 162, 7, 7], f16), T([128, 12, 7, 7], f16, stride=(8526, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 174, 7, 7], f16), T([128, 11, 7, 7], f16, stride=(9065, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/levit_128","(([T([128, 196, 4, 16], f16, stride=(12544, 16, 3136, 1)), T([128, 196, 4, 16], f16, stride=(12544, 1, 3136, 196)), T([128, 196, 4, 32], f16, stride=(25088, 32, 6272, 1))], 3), {})"]
["aten.cat.default","TIMM/levit_128","(([T([128, 196, 8, 16], f16, stride=(25088, 1, 3136, 196)), T([128, 196, 8, 64], f16, stride=(100352, 64, 12544, 1))], 3), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 20, 28, 28], f16), T([128, 20, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([128, 232, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/botnet26t_256","(([T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/ese_vovnet19b_dw","(([T([128, 256, 28, 28], f16), T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 27, 56, 56], f16), T([128, 11, 56, 56], f16, stride=(119168, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16), T([128, 28, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 304, 14, 14], f16), T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([128, 304, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 304, 14, 14], f16), T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16)], 1), {})"]
["aten.cat.default","HuggingFace/MobileBertForMaskedLM","(([T([128, 30522], f16, stride=(1, 128)), T([384, 30522], f16)],), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 32, 28, 28], f16), T([128, 48, 28, 28], f16), T([128, 48, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 32, 28, 28], f16, stride=(25088, 1, 896, 32)), T([128, 48, 28, 28], f16, stride=(37632, 1, 1344, 48)), T([128, 48, 28, 28], f16, stride=(37632, 1, 1344, 48))], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 320, 8, 8], f16), T([128, 192, 8, 8], f16), T([128, 768, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 320, 8, 8], f16), T([128, 192, 8, 8], f16), T([128, 768, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 320, 8, 8], f16), T([128, 192, 8, 8], f16), T([128, 768, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 320, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 192, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 320, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 192, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 320, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 768, 8, 8], f16), T([128, 192, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 36, 56, 56], f16), T([128, 36, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 384, 17, 17], f16), T([128, 96, 17, 17], f16), T([128, 288, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 384, 17, 17], f16), T([128, 96, 17, 17], f16), T([128, 288, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 384, 17, 17], f16), T([128, 96, 17, 17], f16), T([128, 288, 17, 17], f16)], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 40, 14, 14], f16), T([128, 40, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 480, 7, 7], f16), T([128, 480, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/levit_128","(([T([128, 49, 16, 16], f16, stride=(12544, 1, 784, 49)), T([128, 49, 16, 64], f16, stride=(50176, 64, 3136, 1))], 3), {})"]
["aten.cat.default","TIMM/levit_128","(([T([128, 49, 8, 16], f16, stride=(6272, 16, 784, 1)), T([128, 49, 8, 16], f16, stride=(6272, 1, 784, 49)), T([128, 49, 8, 32], f16, stride=(12544, 32, 1568, 1))], 3), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 50, 28, 28], f16), T([128, 11, 28, 28], f16, stride=(47824, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/ese_vovnet19b_dw","(([T([128, 512, 14, 14], f16), T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/botnet26t_256","(([T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/botnet26t_256","(([T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net50_14w_8s","(([T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/shufflenet_v2_x1_0","(([T([128, 58, 28, 28], f16, stride=(90944, 784, 28, 1)), T([128, 58, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 60, 28, 28], f16), T([128, 60, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/eca_botnext26ts_256","(([T([128, 64, 16, 16], f16), T([128, 64, 16, 16], f16), T([128, 256, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/eca_botnext26ts_256","(([T([128, 64, 16, 16], f16), T([128, 64, 16, 16], f16), T([128, 512, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 32, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 32, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 32, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/adv_inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/gluon_inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/inception_v3","(([T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16)], 1), {})"]
["aten.cat.default","TIMM/ese_vovnet19b_dw","(([T([128, 64, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 64, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 64, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/selecsls42b","(([T([128, 64, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/res2next50","(([T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/eca_botnext26ts_256","(([T([128, 64, 8, 8], f16), T([128, 64, 8, 8], f16), T([128, 512, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 72, 14, 14], f16), T([128, 12, 14, 14], f16, stride=(16464, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/ese_vovnet19b_dw","(([T([128, 768, 7, 7], f16), T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 80, 14, 14], f16), T([128, 120, 14, 14], f16), T([128, 120, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/coat_lite_mini","(([T([128, 80, 14, 14], f16, stride=(15680, 1, 1120, 80)), T([128, 120, 14, 14], f16, stride=(23520, 1, 1680, 120)), T([128, 120, 14, 14], f16, stride=(23520, 1, 1680, 120))], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 80, 7, 7], f16), T([128, 80, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 84, 14, 14], f16), T([128, 11, 14, 14], f16, stride=(18620, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/ghostnet_100","(([T([128, 92, 14, 14], f16), T([128, 92, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/rexnet_100","(([T([128, 95, 14, 14], f16), T([128, 11, 14, 14], f16, stride=(20776, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([12], i64), T([1], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([15], i64), T([1], i64)],), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16)], 1), {})"]
["aten.cat.default","HuggingFace/MobileBertForMaskedLM","(([T([16, 128, 128], f16), T([16, 128, 128], f16), T([16, 128, 128], f16)], 2), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 168, 21, 21], f16), T([16, 168, 21, 21], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 216, 21, 21], f16), T([16, 216, 21, 21], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16)], 1), {})"]
["aten.cat.default","TorchBench/pytorch_stargan","(([T([16, 3, 128, 128], f16), T([16, 5, 128, 128], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 336, 11, 11], f16), T([16, 336, 11, 11], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 432, 11, 11], f16), T([16, 432, 11, 11], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16)], 1), {})"]
["aten.cat.default","TIMM/nasnetalarge","(([T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16)], 1), {})"]
["aten.cat.default","TIMM/pnasnet5large","(([T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16)], 1), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([17], i64), T([1], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([18], i64), T([1], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([10], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([11], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([12], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([15], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([17], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([18], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([21], i64)],), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([1], i64), T([9], i64)],), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 1, 1, 192], f16, stride=(1024, 1024, 1024, 1)), T([2, 1, 1, 64], f16, stride=(1024, 1024, 1024, 1)), T([2, 1, 1, 192], f16)], 3), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 1, 1, 64], f16, stride=(1024, 1024, 1024, 1)), T([2, 1, 1, 192], f16, stride=(1024, 1024, 1024, 1)), T([2, 1, 1, 192], f16)], 3), {})"]
["aten.cat.default","TIMM/cait_m36_384","(([T([2, 1, 768], f16), T([2, 576, 768], f16, stride=(442368, 1, 576))], 1), {})"]
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["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 1, 64, 64], f16), T([2, 12, 1, 64, 64], f16), T([2, 12, 12, 64, 64], f16), T([2, 12, 1, 64, 64], f16), T([2, 12, 1, 64, 64], f16)], 2), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 12, 64, 64], f16), T([2, 12, 12, 64, 192], f16), T([2, 12, 12, 64, 192], f16), T([2, 12, 12, 64, 64], f16)], -1), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 12, 64, 64], f16, stride=(786432, 64, 49152, 768, 1)), T([2, 12, 12, 64, 64], f16, stride=(786432, 64, 49152, 768, 1)), T([2, 12, 12, 64, 64], f16, stride=(786432, 64, 49152, 768, 1))], 3), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 64, 256], f32), T([2, 12, 64, 192], f32, stride=(2064384, 172032, 192, 1))], 3), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 64, 64], f16, stride=(786432, 64, 768, 1)), T([2, 12, 64, 64], f16, stride=(786432, 64, 768, 1)), T([2, 12, 64, 64], f16, stride=(786432, 64, 768, 1)), T([2, 12, 64, 64], f16, stride=(786432, 64, 768, 1)), T([2, 12, 192, 64], f16, stride=(2064384, 172032, 64, 1))], 2), {})"]
["aten.cat.default","TorchBench/hf_BigBird","(([T([2, 12, 64], f32, stride=(1024, 64, 1)), T([2, 12, 64], f32, stride=(1024, 64, 1)), T([2, 12, 64], f32, stride=(1024, 64, 1))], 2), {})"]
["aten.cat.default","HuggingFace/AlbertForQuestionAnswering","(([T([2, 512, 1], f16), T([2, 512, 1], f16)], 2), {})"]
["aten.cat.default","TorchBench/speech_transformer","(([T([21], i64), T([1], i64)],), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([269952, 4], f16), T([67488, 4], f16), T([16872, 4], f16), T([4218, 4], f16), T([1083, 4], f16)],), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([269952], i64), T([67488], i64), T([16872], i64), T([4218], i64), T([1083], i64)],), {})"]
["aten.cat.default","TorchBench/timm_efficientdet","(([T([2], f16), T([2], f16)],), {})"]
["aten.cat.default","TorchBench/Background_Matting","(([T([3, 128, 256, 256], f16), T([3, 128, 256, 256], f16)], 1), {})"]
["aten.cat.default","TorchBench/Background_Matting","(([T([3, 256, 128, 128], f16), T([3, 192, 128, 128], f16)], 1), {})"]
["aten.cat.default","TorchBench/Background_Matting","(([T([3, 256, 128, 128], f16), T([3, 256, 128, 128], f16)], 1), {})"]
["aten.cat.default","TorchBench/Background_Matting","(([T([3, 256, 128, 128], f16), T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256))], 1), {})"]
["aten.cat.default","TorchBench/Background_Matting","(([T([3, 64, 128, 128], f16), T([3, 64, 128, 128], f16), T([3, 64, 128, 128], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 100, 56, 56], f16), T([32, 20, 56, 56], f16, stride=(865536, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1088, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1152, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1216, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1280, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1344, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 1408, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 192, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 256, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 320, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 384, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 448, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 512, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 576, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 640, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 704, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 768, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 832, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 896, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1024, 14, 14], f16), T([32, 960, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 1024, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1088, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1152, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1216, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","HuggingFace/MobileBertForQuestionAnswering","(([T([32, 128, 128], f16), T([32, 128, 128], f16), T([32, 128, 128], f16)], 2), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 128, 14, 14], f16, stride=(225792, 196, 14, 1)), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","HuggingFace/DistilBertForQuestionAnswering","(([T([32, 128, 1], f16), T([32, 128, 1], f16)], 2), {})"]
["aten.cat.default","HuggingFace/MobileBertForQuestionAnswering","(([T([32, 128, 1], f16), T([32, 128, 1], f16)], 2), {})"]
["aten.cat.default","TorchBench/squeezenet1_1","(([T([32, 128, 27, 27], f16), T([32, 128, 27, 27], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 128, 28, 28], f16, stride=(501760, 784, 28, 1)), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1280, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 1344, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/squeezenet1_1","(([T([32, 192, 13, 13], f16), T([32, 192, 13, 13], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 192, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 192, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 2048, 7, 7], f16), T([32, 384, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 2048, 7, 7], f16), T([32, 512, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 2048, 7, 7], f16), T([32, 640, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/squeezenet1_1","(([T([32, 256, 13, 13], f16), T([32, 256, 13, 13], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 256, 28, 28], f16), T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 56, 56], f16), T([32, 100, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 56, 56], f16), T([32, 120, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 56, 56], f16), T([32, 60, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 56, 56], f16), T([32, 80, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 256, 7, 7], f16, stride=(112896, 49, 7, 1)), T([32, 128, 7, 7], f16, stride=(106624, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 320, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 320, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 384, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 384, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 384, 7, 7], f16), T([32, 128, 7, 7], f16, stride=(106624, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 40, 56, 56], f16, stride=(928256, 3136, 56, 1)), T([32, 20, 56, 56], f16, stride=(865536, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 448, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 448, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 512, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 192, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 320, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 384, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 448, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 576, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 28, 28], f16), T([32, 640, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 512, 7, 7], f16), T([32, 128, 7, 7], f16, stride=(106624, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 576, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 576, 28, 28], f16), T([32, 64, 28, 28], f16, stride=(451584, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 60, 56, 56], f16), T([32, 20, 56, 56], f16, stride=(865536, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TorchBench/squeezenet1_1","(([T([32, 64, 55, 55], f16), T([32, 64, 55, 55], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 640, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 704, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 768, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 768, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/timm_vovnet","(([T([32, 768, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 80, 56, 56], f16), T([32, 20, 56, 56], f16, stride=(865536, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 832, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 896, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/dpn107","(([T([32, 960, 14, 14], f16), T([32, 64, 14, 14], f16, stride=(213248, 196, 14, 1))], 1), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([359613, 4], f16), T([359613, 4], f16), T([359613, 4], f16), T([359613, 4], f16)],), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([4, 1000], i64), T([4, 1000], i64), T([4, 1000], i64), T([4, 1000], i64), T([4, 1000], i64)], 1), {})"]
["aten.cat.default","HuggingFace/GPT2ForSequenceClassification","(([T([4, 1024, 768], f16), T([4, 1024, 768], f16, stride=(786432, 1, 1024)), T([4, 1024, 768], f16)], 2), {})"]
["aten.cat.default","HuggingFace/DebertaForMaskedLM","(([T([4, 12, 512, 64], f16), T([4, 12, 512, 64], f16, stride=(393216, 32768, 1, 512)), T([4, 12, 512, 64], f16)], 3), {})"]
["aten.cat.default","HuggingFace/DebertaForQuestionAnswering","(([T([4, 12, 512, 64], f16), T([4, 12, 512, 64], f16, stride=(393216, 32768, 1, 512)), T([4, 12, 512, 64], f16)], 3), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16), T([4, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 128, 28, 28], f16)], 1), {})"]
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["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16), T([4, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 256, 14, 14], f16)], 1), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([4, 269952, 1], f16), T([4, 67488, 1], f16), T([4, 16872, 1], f16), T([4, 4218, 1], f16), T([4, 1083, 1], f16)], 1), {})"]
["aten.cat.default","TorchBench/vision_maskrcnn","(([T([4, 269952, 4], f16), T([4, 67488, 4], f16), T([4, 16872, 4], f16), T([4, 4218, 4], f16), T([4, 1083, 4], f16)], 1), {})"]
["aten.cat.default","HuggingFace/DebertaForQuestionAnswering","(([T([4, 512, 1], f16), T([4, 512, 1], f16)], 2), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16), T([4, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 512, 7, 7], f16)], 1), {})"]
["aten.cat.default","TorchBench/hf_GPT2","(([T([4, 512, 768], f16), T([4, 512, 768], f16, stride=(393216, 1, 512)), T([4, 512, 768], f16)], 2), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16), T([4, 32, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/densenet121","(([T([4, 64, 56, 56], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 128, 88, 88], f16), T([6, 128, 88, 88], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 256, 44, 44], f16), T([6, 256, 44, 44], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16), T([6, 2, 352, 352], f16, stride=(495616, 123904, 352, 1)), T([6, 2, 352, 352], f16, stride=(495616, 123904, 352, 1)), T([6, 2, 352, 352], f16), T([6, 2, 352, 352], f16), T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 3, 352, 352], f16), T([6, 3, 352, 352], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 32, 352, 352], f16), T([6, 32, 352, 352], f16)], 1), {})"]
["aten.cat.default","TorchBench/fastNLP_Bert","(([T([6, 474, 768], f16)], -1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 512, 22, 22], f16), T([6, 512, 22, 22], f16)], 1), {})"]
["aten.cat.default","TorchBench/Super_SloMo","(([T([6, 64, 176, 176], f16), T([6, 64, 176, 176], f16)], 1), {})"]
["aten.cat.default","TIMM/pit_b_224","(([T([64, 1, 1024], f16), T([64, 64, 1024], f16, stride=(65536, 1, 64))], 1), {})"]
["aten.cat.default","TIMM/crossvit_9_240","(([T([64, 1, 128], f16), T([64, 400, 128], f16, stride=(51328, 128, 1))], 1), {})"]
["aten.cat.default","TIMM/crossvit_9_240","(([T([64, 1, 128], f16, stride=(0, 128, 1)), T([64, 400, 128], f16, stride=(51200, 1, 400))], 1), {})"]
["aten.cat.default","TIMM/crossvit_9_240","(([T([64, 1, 256], f16), T([64, 196, 256], f16, stride=(50432, 256, 1))], 1), {})"]
["aten.cat.default","TIMM/crossvit_9_240","(([T([64, 1, 256], f16, stride=(0, 256, 1)), T([64, 196, 256], f16, stride=(50176, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/pit_b_224","(([T([64, 1, 256], f16, stride=(0, 256, 1)), T([64, 961, 256], f16, stride=(246016, 1, 961))], 1), {})"]
["aten.cat.default","TIMM/volo_d1_224","(([T([64, 1, 384], f16), T([64, 196, 384], f16, stride=(75648, 384, 1))], 1), {})"]
["aten.cat.default","TIMM/tnt_s_patch16_224","(([T([64, 1, 384], f16, stride=(0, 384, 1)), T([64, 196, 384], f16)], 1), {})"]
["aten.cat.default","TIMM/volo_d1_224","(([T([64, 1, 384], f16, stride=(0, 384, 1)), T([64, 196, 384], f16, stride=(75264, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/tnt_s_patch16_224","(([T([64, 1, 384], f16, stride=(75648, 384, 1)), T([64, 196, 384], f16)], 1), {})"]
["aten.cat.default","TIMM/pit_b_224","(([T([64, 1, 512], f16), T([64, 256, 512], f16, stride=(131072, 1, 256))], 1), {})"]
["aten.cat.default","TIMM/deit_base_distilled_patch16_224","(([T([64, 1, 768], f16, stride=(0, 768, 1)), T([64, 1, 768], f16, stride=(0, 768, 1)), T([64, 196, 768], f16, stride=(150528, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/beit_base_patch16_224","(([T([64, 1, 768], f16, stride=(0, 768, 1)), T([64, 196, 768], f16, stride=(150528, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/vit_base_patch16_224","(([T([64, 1, 768], f16, stride=(0, 768, 1)), T([64, 196, 768], f16, stride=(150528, 1, 196))], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 1024, 7, 7], f16), T([64, 1024, 7, 7], f16), T([64, 512, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16, stride=(81536, 196, 14, 1))], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 104, 28, 28], f16), T([64, 104, 28, 28], f16), T([64, 104, 28, 28], f16), T([64, 104, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 112, 14, 14], f16), T([64, 112, 14, 14], f16), T([64, 112, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 112, 14, 14], f16), T([64, 112, 14, 14], f16), T([64, 112, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 112, 28, 28], f16), T([64, 112, 28, 28], f16), T([64, 112, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 112, 28, 28], f16), T([64, 112, 28, 28], f16), T([64, 112, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16), T([64, 120, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/mobilevit_s","(([T([64, 128, 16, 16], f16), T([64, 128, 16, 16], f16)], 1), {})"]
["aten.cat.default","HuggingFace/BertForQuestionAnswering","(([T([64, 128, 1], f16), T([64, 128, 1], f16)], 2), {})"]
["aten.cat.default","HuggingFace/RobertaForQuestionAnswering","(([T([64, 128, 1], f16), T([64, 128, 1], f16)], 2), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16), T([64, 32, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 128, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/sebotnet33ts_256","(([T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16)], 1), {})"]
["aten.cat.default","TIMM/cspdarknet53","(([T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([64, 128, 32, 32], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 132, 7, 7], f16), T([64, 132, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 132, 7, 7], f16), T([64, 132, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/swin_base_patch4_window7_224","(([T([64, 14, 14, 256], f16, stride=(200704, 14336, 512, 1)), T([64, 14, 14, 256], f16, stride=(200704, 14336, 512, 1)), T([64, 14, 14, 256], f16, stride=(200704, 14336, 512, 1)), T([64, 14, 14, 256], f16, stride=(200704, 14336, 512, 1))], -1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16), T([64, 156, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 16, 112, 112], f16), T([64, 16, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 16, 112, 112], f16), T([64, 16, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/mobilevit_s","(([T([64, 160, 8, 8], f16), T([64, 160, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 168, 28, 28], f16), T([64, 168, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 168, 28, 28], f16), T([64, 168, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/gmixer_24_224","(([T([64, 196, 768], f16), T([64, 196, 768], f16)], 2), {})"]
["aten.cat.default","TIMM/gmlp_s16_224","(([T([64, 196, 768], f16), T([64, 196, 768], f16, stride=(150528, 1, 196))], 2), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 20, 56, 56], f16), T([64, 20, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 20, 56, 56], f16), T([64, 20, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 208, 14, 14], f16), T([64, 208, 14, 14], f16), T([64, 208, 14, 14], f16), T([64, 208, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16, stride=(40768, 49, 7, 1))], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 240, 14, 14], f16), T([64, 240, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16), T([64, 240, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16), T([64, 32, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 256, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/sebotnet33ts_256","(([T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/cspdarknet53","(([T([64, 256, 16, 16], f16, stride=(131072, 256, 16, 1)), T([64, 256, 16, 16], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([64, 128, 28, 28], f16), T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16, stride=(326144, 3136, 56, 1))], 1), {})"]
["aten.cat.default","TIMM/swin_base_patch4_window7_224","(([T([64, 28, 28, 128], f16, stride=(401408, 14336, 256, 1)), T([64, 28, 28, 128], f16, stride=(401408, 14336, 256, 1)), T([64, 28, 28, 128], f16, stride=(401408, 14336, 256, 1)), T([64, 28, 28, 128], f16, stride=(401408, 14336, 256, 1))], -1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 28, 28, 28], f16), T([64, 28, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 28, 28, 28], f16), T([64, 28, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 312, 14, 14], f16), T([64, 312, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 312, 14, 14], f16), T([64, 312, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/gmixer_24_224","(([T([64, 384, 192], f16), T([64, 384, 192], f16)], 2), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16), T([64, 396, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 256, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/dla102","(([T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/sebotnet33ts_256","(([T([64, 512, 16, 16], f16), T([64, 512, 16, 16], f16), T([64, 512, 16, 16], f16)], 1), {})"]
["aten.cat.default","HuggingFace/ElectraForQuestionAnswering","(([T([64, 512, 1], f16), T([64, 512, 1], f16)], 2), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16), T([64, 32, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/densenet121","(([T([64, 512, 7, 7], f16)], 1), {})"]
["aten.cat.default","TIMM/sebotnet33ts_256","(([T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/cspdarknet53","(([T([64, 512, 8, 8], f16, stride=(65536, 64, 8, 1)), T([64, 512, 8, 8], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 52, 14, 14], f16), T([64, 52, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 52, 14, 14], f16), T([64, 52, 14, 14], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16, stride=(163072, 784, 28, 1))], 1), {})"]
["aten.cat.default","TIMM/res2net101_26w_4s","(([T([64, 52, 56, 56], f16), T([64, 52, 56, 56], f16), T([64, 52, 56, 56], f16), T([64, 52, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16), T([64, 60, 28, 28], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 60, 56, 56], f16), T([64, 60, 56, 56], f16)], 1), {})"]
["aten.cat.default","TIMM/mixnet_l","(([T([64, 64, 112, 112], f16), T([64, 64, 112, 112], f16), T([64, 64, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/tf_mixnet_l","(([T([64, 64, 112, 112], f16), T([64, 64, 112, 112], f16), T([64, 64, 112, 112], f16)], 1), {})"]
["aten.cat.default","TIMM/cspdarknet53","(([T([64, 64, 128, 128], f16, stride=(2097152, 16384, 128, 1)), T([64, 64, 128, 128], f16)], 1), {})"]
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["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 96, 160, 160], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientdet","((T([1, 96, 321, 321], f16), T([96, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1, 128], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1, 128], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1, 64], f16), T([1, 1, 3], f16), None, [1], [1], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1, 64], f16), T([1, 1, 3], f16), None, [1], [1], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16), T([100, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 100), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 1, 1], f16), T([1024, 1024, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([448, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([896, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 1024, 7, 7], f16), T([1280, 1024, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), T([2048], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 1044, 1, 1], f16), T([87, 1044, 1, 1], f16), T([87], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), T([1044, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1044), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), T([185, 1044, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 106, 14, 14], f16), T([636, 106, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 1088, 14, 14], f16), T([768, 1088, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 1104, 1, 1], f16), T([48, 1104, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([1104, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1104), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1104), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1104), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([184, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), T([224, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([352, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 112, 12, 12], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 112, 14, 14], f16), T([112, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), T([112, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16), T([256, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([112, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 112, 7, 7], f16), T([160, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([112, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 1152, 1, 1], f16), T([288, 1152, 1, 1], f16), T([288], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([116, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 116), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16), T([116, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 116), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 117, 14, 14], f16), T([702, 117, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16), T([12, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 12), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 1, 1], f16), T([16, 120, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 1, 1], f16), T([8, 120, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 14, 14], f16), T([360, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 14, 14], f16), T([720, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 5, 5], f16), T([120], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 7, 7], f16), T([120], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([20, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 120, 56, 56], f16), T([120, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 128, 1, 1], f16), T([32, 128, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 1, 1], f16), T([512, 128, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 128, 14, 14], f16), T([768, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 28, 28], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 128, 28, 28], f16), T([320, 128, 2, 2], f16), T([320], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 28, 28], f16), T([512, 128, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 1, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), T([128, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 56, 56], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16), T([144, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 56, 56], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 128, 56, 56], f16), T([64, 128, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 128, 64, 64], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([192, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([192, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 128, 7, 7], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 128, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([128, 1, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 1280, 4, 4], f16), T([1024, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 1344, 1, 1], f16), T([1984, 1344, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 14, 1, 1], f16), T([152, 14, 1, 1], f16), T([152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16), T([14, 14, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([14, 14, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 140, 7, 7], f16), T([840, 140, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 144, 1, 1], f16), T([6, 144, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 144, 1, 1], f16), T([6, 144, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 144, 24, 24], f16), T([40, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([144, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([144, 144, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 144, 28, 28], f16), T([32, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 144, 28, 28], f16), T([32, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 144, 28, 28], f16), T([40, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 144, 28, 28], f16), T([40, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([72, 144, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([144, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 144, 59, 59], f16), T([144, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([1024, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([144, 144, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([18, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([256, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([36, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([72, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 1440, 7, 7], f16), T([1024, 1440, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 151, 7, 7], f16), T([906, 151, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 1, 1], f16), T([14, 152, 1, 1], f16), T([14], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 1, 1], f16), T([38, 152, 1, 1], f16), T([38], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([152, 152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([152, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 19), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16), T([304, 152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([368, 152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([368, 152, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 152, 28, 28], f16), T([152, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 19), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 1536, 1, 1], f16), T([384, 1536, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([3072, 1536, 1, 1], f16), T([3072], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([3072, 1536, 1, 1], f16), T([3072], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([1536, 1536, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([2304, 1536, 1, 1], f16), T([2304], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([384, 1536, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 16, 1, 1], f16), T([120, 16, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([24, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/levit_128","((T([128, 16, 112, 112], f16), T([32, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 16, 112, 112], f16), T([32, 16, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([8, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 16, 56, 56], f16), T([24, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 16, 56, 56], f16), T([32, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 16, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([16, 1, 3, 3], f16), T([16], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 16, 96, 96], f16), T([32, 16, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 16, 96, 96], f16), T([32, 16, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 16, 96, 96], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([160, 160, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([640, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([160, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 160), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([160, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 160, 32, 32], f16), T([160, 160, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([480, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 162, 56, 56], f16), T([162, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 162), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 162, 56, 56], f16), T([38, 162, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 162, 7, 7], f16), T([972, 162, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 174, 7, 7], f16), T([1044, 174, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), T([144, 18, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([18, 18, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([72, 18, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 18, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([32, 18, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([36, 18, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 184, 14, 14], f16), T([184, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 184), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 184, 14, 14], f16), T([40, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 184, 14, 14], f16), T([80, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 184, 7, 7], f16), T([1104, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([1104, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([736, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 185, 7, 7], f16), T([1280, 185, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 19, 1, 1], f16), T([228, 19, 1, 1], f16), T([228], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/alexnet","((T([128, 192, 13, 13], f16), T([384, 192, 3, 3], f16), T([384], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([192, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([192, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([192, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 192, 14, 14], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([192, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([192, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([384, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([384, 192, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([384, 192, 2, 2], f16), T([384], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([384, 192, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([160, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([192, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([640, 192, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 192, 56, 56], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 192, 6, 6], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([960, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 5, 5], f16), T([192], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 7, 7], f16), T([192], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 1920, 16, 16], f16), T([1920, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1920), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([1920, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1920), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([640, 1920, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 20, 1, 1], f16), T([72, 20, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16), T([20, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 20), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 200, 14, 14], f16), T([200, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 200), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 200, 14, 14], f16), T([40, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 200, 14, 14], f16), T([72, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 200, 14, 14], f16), T([80, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 200, 28, 28], f16), T([200, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 200), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([896, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 216, 14, 14], f16), T([216, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 216), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 216, 14, 14], f16), T([72, 216, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 224, 28, 28], f16), T([512, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 224, 7, 7], f16), T([1344, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([224, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 224), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([224, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 228, 1, 1], f16), T([19, 228, 1, 1], f16), T([19], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), T([50, 228, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 228, 56, 56], f16), T([228, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 228), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([232, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 232), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([232, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 232), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 24, 1, 1], f16), T([360, 24, 1, 1], f16), T([360], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 24, 1, 1], f16), T([8, 24, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16), T([24, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 24, 112, 112], f16), T([24, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 3), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 24, 28, 28], f16), T([40, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 28, 28], f16), T([58, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 24, 48, 48], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([120, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([24, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([36, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([48, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 56, 56], f16), T([58, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 5, 5], f16), T([24], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 7, 7], f16), T([24], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 24), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 240, 1, 1], f16), T([64, 240, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 240, 29, 29], f16), T([240, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 25, 1, 1], f16), T([300, 25, 1, 1], f16), T([300], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 256, 1, 1], f16), T([1280, 256, 1, 1], f16), T([1280], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 1, 1], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/alexnet","((T([128, 256, 13, 13], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 14, 14], f16, stride=(200704, 196, 14, 1)), T([256, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([768, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 28, 28], f16), T([160, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([512, 256, 3, 3], f16), T([512], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 32, 32], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([112, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([18, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([224, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([36, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([256, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([256, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([256, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 27, 56, 56], f16), T([162, 27, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([28, 28, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([28, 28, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 28, 56, 56], f16, stride=(702464, 3136, 56, 1)), T([28, 28, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 288, 1, 1], f16), T([1152, 288, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16), T([288, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 288), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16), T([96, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16), T([144, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16), T([304, 288, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 3, 192, 192], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/levit_128","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), T([16], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 3, 224, 224], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 3, 224, 224], f16), T([32, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resmlp_12_224","((T([128, 3, 224, 224], f16), T([384, 3, 16, 16], f16), T([384], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 3, 224, 224], f16), T([64, 3, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/alexnet","((T([128, 3, 224, 224], f16), T([64, 3, 11, 11], f16), T([64], f16), [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 3, 224, 224], f16), T([64, 3, 4, 4], f16), T([64], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 3, 224, 224], f16), T([8, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 3, 225, 225], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 3, 256, 256], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 30, 1, 1], f16), T([366, 30, 1, 1], f16), T([366], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 300, 1, 1], f16), T([25, 300, 1, 1], f16), T([25], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([300, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 300), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([61, 300, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([152, 304, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([304, 304, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([304, 304, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 32, 1, 1], f16), T([360, 32, 1, 1], f16), T([360], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 32, 1, 1], f16), T([720, 32, 1, 1], f16), T([720], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 32, 112, 112], f16), T([192, 32, 4, 4], f16), T([192], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 32, 28, 28], f16), T([64, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([96, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 32, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([32, 1, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([128, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([32, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([32, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([32, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 32, 56, 56], f16), T([64, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/levit_128","((T([128, 32, 56, 56], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([32, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16), T([512, 320, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([320, 1, 3, 3], f16), T([320], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 320), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 320, 6, 6], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([112, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16), T([336, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 336), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([336, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 336), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 352, 7, 7], f16), T([1984, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 36, 1, 1], f16), T([432, 36, 1, 1], f16), T([432], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), T([144, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([18, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([256, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([64, 36, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([72, 36, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16), T([36, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 36), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 360, 1, 1], f16), T([24, 360, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 360, 1, 1], f16), T([32, 360, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([120, 360, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([360, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 360), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([360, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 360), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 366, 1, 1], f16), T([30, 366, 1, 1], f16), T([30], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([72, 366, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 366, 28, 28], f16), T([366, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 366), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 368, 1, 1], f16), T([38, 368, 1, 1], f16), T([38], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 368, 1, 1], f16), T([92, 368, 1, 1], f16), T([92], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 368, 14, 14], f16), T([368, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 46), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([368, 368, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([368, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 46), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16), T([152, 38, 1, 1], f16), T([152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16), T([368, 38, 1, 1], f16), T([368], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 38, 56, 56], f16), T([228, 38, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 1, 1], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/alexnet","((T([128, 384, 13, 13], f16), T([256, 384, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([112, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([1152, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([1408, 384, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([1408, 384, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([384, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 384), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([384, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 384), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([384, 384, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), T([384], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([768, 384, 2, 2], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([96, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 28, 28], f16), T([192, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 384, 28, 28], f16), T([384, 48, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 28, 28], f16), T([384, 64, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 7, 7], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 384, 7, 7], f16), T([384, 64, 3, 3], f16), T([384], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([40, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 40), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([80, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 40, 24, 24], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 40, 28, 28], f16), T([200, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([40, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 40), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([60, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 42, 1, 1], f16), T([504, 42, 1, 1], f16), T([504], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 432, 1, 1], f16), T([36, 432, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([432, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 432), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([84, 432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 432, 28, 28], f16), T([288, 432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 448, 14, 14], f16), T([1024, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 448, 56, 56], f16), T([256, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 464, 7, 7], f16), T([1024, 464, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 47, 1, 1], f16), T([570, 47, 1, 1], f16), T([570], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 48, 1, 1], f16), T([1104, 48, 1, 1], f16), T([1104], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 48, 1, 1], f16), T([736, 48, 1, 1], f16), T([736], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 48, 112, 112], f16), T([48, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 5, 5], f16), T([48], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 7, 7], f16), T([48], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 48, 56, 56], f16), T([12, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 48, 56, 56], f16), T([48, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 480, 14, 14], f16), T([56, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 480, 14, 14], f16), T([960, 480, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 50, 28, 28], f16), T([300, 50, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 504, 1, 1], f16), T([42, 504, 1, 1], f16), T([42], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([504, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 504), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([95, 504, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 1, 1], f16), T([512, 512, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([1024, 512, 3, 3], f16), T([1024], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 512, 14, 14], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 14, 14], f16), T([192, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 16, 16], f16), T([128, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([224, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([384, 512, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([448, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([512, 1, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 512), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 8, 8], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 53, 1, 1], f16), T([636, 53, 1, 1], f16), T([636], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 56, 1, 1], f16), T([6, 56, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16), T([56, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 56), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([56, 56, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([56, 56, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([56, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), T([56, 56, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 56, 56, 56], f16), T([56, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 7), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 570, 1, 1], f16), T([47, 570, 1, 1], f16), T([47], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([106, 570, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([570, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 570), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 576, 7, 7], f16), T([160, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 58, 1, 1], f16), T([702, 58, 1, 1], f16), T([702], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([58, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 58), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([58, 58, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16, stride=(90944, 784, 28, 1)), T([58, 58, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 56, 56], f16), T([58, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 58), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 6, 1, 1], f16), T([56, 6, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16), T([60, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 608, 14, 14], f16), T([304, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 61, 28, 28], f16), T([366, 61, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 636, 1, 1], f16), T([53, 636, 1, 1], f16), T([53], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([117, 636, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([636, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 636), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 64, 1, 1], f16), T([240, 64, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 64, 1, 1], f16), T([768, 64, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 64, 112, 112], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 64, 112, 112], f16), T([64, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([96, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([96, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 64, 14, 14], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([192, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/alexnet","((T([128, 64, 27, 27], f16), T([192, 64, 5, 5], f16), T([192], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/levit_128","((T([128, 64, 28, 28], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([64, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([64, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 64, 56, 56], f16), T([112, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 64, 56, 56], f16), T([128, 64, 2, 2], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([32, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nfnet_l0","((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64)), T([64, 1, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/res2next50","((T([128, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([64, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([160, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([1920, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([640, 640, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([1920, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([2560, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), T([168], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), T([168], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), T([168], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 672, 1, 1], f16), T([28, 672, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 672, 1, 1], f16), T([28, 672, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 672, 14, 14], f16), T([56, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([672, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 672, 17, 17], f16), T([672, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 672, 6, 6], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 672, 7, 7], f16), T([160, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 672, 7, 7], f16), T([184, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 672, 7, 7], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 672, 7, 7], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 672, 7, 7], f16), T([80, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 70, 1, 1], f16), T([840, 70, 1, 1], f16), T([840], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 702, 1, 1], f16), T([58, 702, 1, 1], f16), T([58], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), T([128, 702, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), T([702, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 702), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 72, 1, 1], f16), T([20, 72, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([128, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([144, 72, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([18, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 72, 14, 14], f16), T([216, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([36, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 72, 14, 14], f16), T([360, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 72, 14, 14], f16), T([432, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([512, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([72, 72, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 72, 28, 28], f16), T([144, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 72, 28, 28], f16), T([20, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 72, 56, 56], f16), T([12, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 720, 1, 1], f16), T([32, 720, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 720, 14, 14], f16), T([720, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 720), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 720, 7, 7], f16), T([184, 720, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 736, 1, 1], f16), T([48, 736, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 736, 28, 28], f16), T([512, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([184, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([736, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 736), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 75, 1, 1], f16), T([906, 75, 1, 1], f16), T([906], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 768, 1, 1], f16), T([64, 768, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 1, 1], f16), T([768, 768, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 768, 14, 14], f16), T([768, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 768), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dm_nfnet_f0","((T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TorchBench/timm_nfnet","((T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 768, 7, 7], f16), T([140, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 7, 7], f16), T([224, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([2304, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([3072, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([768, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetv3_b","((T([128, 8, 1, 1], f16), T([120, 8, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 8, 1, 1], f16), T([24, 8, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 8, 1, 1], f16), T([32, 8, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 8, 1, 1], f16), T([32, 8, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 8, 112, 112], f16), T([16, 8, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/lcnet_050","((T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 80, 12, 12], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([100, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([112, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([184, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([200, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/hardcorenas_a","((T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([80, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([92, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/coat_lite_mini","((T([128, 80, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([80, 1, 3, 3], f16), T([80], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16), T([80, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 81, 1, 1], f16), T([972, 81, 1, 1], f16), T([972], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 84, 14, 14], f16), T([504, 84, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 840, 1, 1], f16), T([70, 840, 1, 1], f16), T([70], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([151, 840, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([840, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 840), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 87, 1, 1], f16), T([1044, 87, 1, 1], f16), T([1044], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net50_14w_8s","((T([128, 896, 7, 7], f16), T([2048, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 906, 1, 1], f16), T([75, 906, 1, 1], f16), T([75], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([162, 906, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([906, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 906), {})"]
["aten.convolution.default","TIMM/selecsls42b","((T([128, 912, 14, 14], f16), T([480, 912, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/regnety_002","((T([128, 92, 1, 1], f16), T([368, 92, 1, 1], f16), T([368], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16), T([92, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 92), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 95, 14, 14], f16), T([570, 95, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 96, 113, 113], f16), T([96, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 96, 14, 14], f16), T([288, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mnasnet_100","((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/spnasnet_100","((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16), T([32, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16), T([96, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([192, 96, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([192, 96, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/fbnetc_100","((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilenetv2_100","((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/rexnet_100","((T([128, 96, 56, 56], f16), T([27, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([216, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 216), {})"]
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["aten.convolution.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([216, 216, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/pytorch_stargan","((T([16, 256, 32, 32], f16), T([256, 128, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], True, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/resnet18","((T([16, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 3, 331, 331], f16), T([96, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/nasnetalarge","((T([16, 336, 45, 45], f16), T([336, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 336), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 336, 47, 47], f16), T([336, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 336), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 4032, 11, 11], f16), T([672, 4032, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([42, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 42), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([42, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 42), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([42, 42, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([432, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 432), {})"]
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["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([432, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 432), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([432, 432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 42, 42], f16), T([432, 432, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 43, 43], f16), T([432, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 432), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 45, 45], f16), T([432, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 432), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 432, 47, 47], f16), T([432, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 432), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 4320, 11, 11], f16), T([864, 4320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 165, 165], f16), T([54, 54, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 167, 167], f16), T([54, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 169, 169], f16), T([54, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 171, 171], f16), T([54, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([54, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([54, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([54, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 54), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([54, 54, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 540, 42, 42], f16), T([216, 540, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/pytorch_stargan","((T([16, 64, 128, 128], f16), T([3, 64, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([672, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
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["aten.convolution.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([84, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 84), {})"]
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["aten.convolution.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([84, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 84), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([84, 84, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 84, 87, 87], f16), T([84, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 84), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 84, 89, 89], f16), T([84, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 84), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([864, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 864), {})"]
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["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([864, 864, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 21, 21], f16), T([864, 864, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 23, 23], f16), T([864, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 864), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 25, 25], f16), T([864, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 864), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 864, 27, 27], f16), T([864, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 864), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 96, 165, 165], f16), T([42, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 96, 165, 165], f16), T([54, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 96, 167, 167], f16), T([96, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 96, 169, 169], f16), T([96, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 96, 169, 169], f16), T([96, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 96, 171, 171], f16), T([96, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TIMM/nasnetalarge","((T([16, 96, 83, 83], f16), T([42, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pnasnet5large","((T([16, 96, 83, 83], f16), T([54, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cait_m36_384","((T([2, 3, 384, 384], f16), T([768, 3, 16, 16], f16), T([768], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 1, 518, 518], f16), T([64, 1, 7, 7], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 128, 512, 512], f16), T([64, 128, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 256, 130, 130], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 256, 256, 256], f16), T([128, 256, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 256, 512, 512], f16), T([64, 256, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 3, 518, 518], f16), T([64, 3, 7, 7], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 4, 518, 518], f16), T([64, 4, 7, 7], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 448, 128, 128], f16), T([256, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 512, 128, 128], f16), T([64, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 64, 518, 518], f16), T([1, 64, 7, 7], f16), T([1], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Background_Matting","((T([3, 64, 518, 518], f16), T([3, 64, 7, 7], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 10, 1, 1], f16), T([240, 10, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([1024, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1024), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([1536, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([4096, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1024, 19, 19], f16), T([1024, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1024), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([1024, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1024, 28, 28], f16), T([400, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 56, 56], f16), T([1024, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 1024, 7, 7], f16), T([2048, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 1024, 7, 7], f16), T([2048, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), T([224, 1024, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([1024, 1, 7, 7], f16), T([1024], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1024), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 1056, 28, 28], f16), T([512, 1056, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1088, 28, 28], f16), T([400, 1088, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16), T([448, 112, 1, 1], f16), T([448], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16), T([896, 112, 1, 1], f16), T([896], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1152, 28, 28], f16), T([1152, 1152, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1152, 28, 28], f16), T([800, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16), T([32, 120, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1216, 14, 14], f16), T([800, 1216, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), T([2048], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), T([2048], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 1, 1], f16), T([512, 128, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/dcgan","((T([32, 128, 16, 16], f16), T([256, 128, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 1, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 128, 4, 4], f16), T([128], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16), T([256, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 128, 55, 55], f16), T([16, 128, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 128, 56, 56], f16), T([200, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16), T([256, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 128, 56, 56], f16), T([296, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 7, 7], f16), T([128], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 2, 2], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([256, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([128, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1280, 14, 14], f16), T([800, 1280, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1344, 14, 14], f16), T([800, 1344, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1408, 14, 14], f16), T([800, 1408, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 144, 1, 1], f16), T([6, 144, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 144, 28, 28], f16), T([40, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([144, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 1472, 14, 14], f16), T([768, 1472, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1472, 14, 14], f16), T([800, 1472, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([1536, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1536), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([1536, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([2048, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1536, 14, 14], f16), T([800, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([16, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 16), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([16, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 16, 112, 112], f16), T([48, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 16, 55, 55], f16), T([64, 16, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 16, 55, 55], f16), T([64, 16, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 160, 28, 28], f16), T([160, 160, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1600, 14, 14], f16), T([1600, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1600, 14, 14], f16), T([800, 1600, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([1600, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([2176, 1600, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1664, 14, 14], f16), T([800, 1664, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 168, 1, 1], f16), T([672, 168, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 1728, 14, 14], f16), T([768, 1728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1728, 14, 14], f16), T([800, 1728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1792, 14, 14], f16), T([800, 1792, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 184, 14, 14], f16), T([184, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 184), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 184, 14, 14], f16), T([80, 184, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1856, 14, 14], f16), T([800, 1856, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 1888, 7, 7], f16), T([1024, 1888, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16), T([192, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1920, 14, 14], f16), T([800, 1920, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 1984, 14, 14], f16), T([800, 1984, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 200, 14, 14], f16), T([200, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 200), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 200, 14, 14], f16), T([80, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([200, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([276, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([2048, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2048, 14, 14], f16), T([800, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 28, 28], f16), T([2048, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16), T([4096, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2112, 14, 14], f16), T([800, 2112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 2144, 7, 7], f16), T([1024, 2144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2176, 14, 14], f16), T([800, 2176, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([2240, 224, 1, 1], f16), T([2240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([56, 224, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([8, 224, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([896, 224, 1, 1], f16), T([896], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 112, 112], f16), T([224, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([224, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([224, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16), T([224, 224, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 2240, 1, 1], f16), T([224, 2240, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 2240, 14, 14], f16), T([2240, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 20), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2240, 14, 14], f16), T([800, 2240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), T([2240, 2240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2304, 14, 14], f16), T([800, 2304, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2368, 14, 14], f16), T([800, 2368, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2432, 14, 14], f16), T([1600, 2432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2432, 14, 14], f16), T([2304, 2432, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2432, 7, 7], f16), T([1600, 2432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 256, 13, 13], f16), T([48, 256, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 256, 27, 27], f16), T([32, 256, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 256, 28, 28], f16), T([160, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([256, 1, 7, 7], f16), T([256], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([256, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/dcgan","((T([32, 256, 8, 8], f16), T([512, 256, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2560, 7, 7], f16), T([1600, 2560, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 2688, 1, 1], f16), T([1000, 2688, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 3, 224, 224], f16), T([128, 3, 4, 4], f16), T([128], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 3, 224, 224], f16), T([128, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), T([64], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 3, 224, 224], f16), T([64, 3, 4, 4], f16), T([64], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convmixer_768_32","((T([32, 3, 224, 224], f16), T([768, 3, 7, 7], f16), T([768], f16), [7, 7], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 3, 256, 256], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/dcgan","((T([32, 3, 64, 64], f16), T([64, 3, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 316, 56, 56], f16), T([200, 316, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/gluon_senet154","((T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16), T([32, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 32, 150, 150], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 32, 27, 27], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 32, 27, 27], f16), T([128, 32, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 320, 14, 14], f16), T([512, 320, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 1, 3, 3], f16), T([320], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 320), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 320, 2, 2], f16), T([320], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 336, 56, 56], f16), T([200, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 356, 56, 56], f16), T([200, 356, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 376, 56, 56], f16), T([400, 376, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 376, 56, 56], f16), T([640, 376, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 384, 13, 13], f16), T([48, 384, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 384, 13, 13], f16), T([64, 384, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([400, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([576, 400, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 400, 56, 56], f16), T([400, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 14, 14], f16), T([4096, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([2048, 4096, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([4096, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 1, 1], f16), T([112, 448, 1, 1], f16), T([112], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 1, 1], f16), T([56, 448, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([448, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([448, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 448, 56, 56], f16), T([448, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 4), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 48, 13, 13], f16), T([192, 48, 1, 1], f16), T([192], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 48, 13, 13], f16), T([192, 48, 3, 3], f16), T([192], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 512, 13, 13], f16), T([1000, 512, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 512, 13, 13], f16), T([64, 512, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 512, 14, 14], f16), T([192, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 512, 14, 14], f16), T([512, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([1024, 512, 2, 2], f16), T([1024], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([512, 1, 7, 7], f16), T([512], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 512), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/dcgan","((T([32, 512, 4, 4], f16), T([1, 512, 4, 4], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([512, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/resnest101e","((T([32, 512, 8, 8], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
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["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})"]
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["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 64, 13, 13], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 64, 13, 13], f16), T([256, 64, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TorchBench/dcgan","((T([32, 64, 32, 32], f16), T([128, 64, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/squeezenet1_1","((T([32, 64, 55, 55], f16), T([16, 64, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([128, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 64, 56, 56], f16), T([128, 64, 2, 2], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 64, 56, 56], f16), T([24, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 56, 56], f16), T([512, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([64, 1, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/twins_pcpvt_base","((T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([64, 64, 8, 8], f16), T([64], f16), [8, 8], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16), T([128, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})"]
["aten.convolution.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 672, 1, 1], f16), T([168, 672, 1, 1], f16), T([168], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 672, 1, 1], f16), T([28, 672, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([672, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 672, 7, 7], f16), T([160, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 672, 7, 7], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 704, 28, 28], f16), T([400, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 72, 1, 1], f16), T([24, 72, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([728, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 728), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([728, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 728), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 728), {})"]
["aten.convolution.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([728, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16), T([192, 768, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 768, 28, 28], f16), T([400, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([768, 1, 7, 7], f16), T([768], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 768), {})"]
["aten.convolution.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([768, 768, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 768, 56, 56], f16), T([256, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vovnet","((T([32, 768, 7, 7], f16), T([224, 768, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 8, 1, 1], f16), T([224, 8, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 8, 1, 1], f16), T([32, 8, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([184, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([200, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mnasnet1_0","((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([1088, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([800, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 800, 28, 28], f16), T([800, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 832, 28, 28], f16), T([400, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 1, 1], f16), T([112, 896, 1, 1], f16), T([112], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 1, 1], f16), T([224, 896, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([896, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})"]
["aten.convolution.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([896, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 896, 28, 28], f16), T([400, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/timm_efficientnet","((T([32, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 960, 1, 1], f16), T([240, 960, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dpn107","((T([32, 960, 28, 28], f16), T([400, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), T([960, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 960), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 128, 296, 304], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 160, 28, 28], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 160, 56, 56], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 192, 28, 28], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 192, 56, 56], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 2048, 37, 38], f16), T([256, 2048, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 2048, 37, 38], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 224, 28, 28], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 224, 56, 56], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 256, 14, 14], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([12, 256, 1, 1], f16), T([12], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([3, 256, 1, 1], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 19, 19], f16), T([12, 256, 1, 1], f16), T([12], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 19, 19], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 19, 19], f16), T([3, 256, 1, 1], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 256, 28, 28], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([12, 256, 1, 1], f16), T([12], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([3, 256, 1, 1], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), T([12, 256, 1, 1], f16), T([12], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), T([3, 256, 1, 1], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([12, 256, 1, 1], f16), T([12], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([3, 256, 1, 1], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 288, 14, 14], f16), T([128, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 288, 28, 28], f16), T([128, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 3, 1184, 1216], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 320, 14, 14], f16), T([128, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 320, 28, 28], f16), T([128, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 352, 14, 14], f16), T([128, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 352, 28, 28], f16), T([128, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 384, 14, 14], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 384, 28, 28], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 416, 14, 14], f16), T([128, 416, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 416, 28, 28], f16), T([128, 416, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 448, 14, 14], f16), T([128, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 448, 28, 28], f16), T([128, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 480, 14, 14], f16), T([128, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 480, 28, 28], f16), T([128, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 512, 14, 14], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 37, 38], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 37, 38], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 512, 7, 7], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 512, 74, 76], f16), T([512, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 544, 14, 14], f16), T([128, 544, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 544, 7, 7], f16), T([128, 544, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 576, 14, 14], f16), T([128, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 576, 7, 7], f16), T([128, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 608, 14, 14], f16), T([128, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 608, 7, 7], f16), T([128, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 64, 296, 304], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 64, 296, 304], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vision_maskrcnn","((T([4, 64, 296, 304], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 640, 14, 14], f16), T([128, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 640, 7, 7], f16), T([128, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 672, 14, 14], f16), T([128, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 672, 7, 7], f16), T([128, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 704, 14, 14], f16), T([128, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 704, 7, 7], f16), T([128, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 736, 14, 14], f16), T([128, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 736, 7, 7], f16), T([128, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 768, 14, 14], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 768, 7, 7], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 800, 14, 14], f16), T([128, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 800, 7, 7], f16), T([128, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 832, 14, 14], f16), T([128, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 832, 7, 7], f16), T([128, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 864, 14, 14], f16), T([128, 864, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 864, 7, 7], f16), T([128, 864, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 896, 14, 14], f16), T([128, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 896, 7, 7], f16), T([128, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 928, 14, 14], f16), T([128, 928, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 928, 7, 7], f16), T([128, 928, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 96, 56, 56], f16), T([128, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 960, 14, 14], f16), T([128, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 960, 7, 7], f16), T([128, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 992, 14, 14], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/densenet121","((T([4, 992, 7, 7], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/maml_omniglot","((T([5, 1, 28, 28], f16), T([64, 1, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/maml_omniglot","((T([5, 64, 13, 13], f16, stride=(10816, 1, 832, 64)), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/maml_omniglot","((T([5, 64, 5, 5], f16, stride=(1600, 1, 320, 64)), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 1024, 22, 22], f16), T([512, 1024, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), T([64, 128, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 128, 44, 44], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 20, 352, 352], f16), T([32, 20, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 256, 22, 22], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), T([128, 256, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 3, 352, 352], f16), T([64, 3, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 32, 176, 176], f16), T([64, 32, 5, 5], f16), T([64], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([32, 32, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([4, 32, 3, 3], f16), T([4], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([5, 32, 3, 3], f16), T([5], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 512, 11, 11], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16), T([256, 512, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 6, 352, 352], f16), T([32, 6, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([64, 64, 5, 5], f16), T([64], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), T([32, 64, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/Super_SloMo","((T([6, 64, 88, 88], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1, 1024], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1, 2048], f16), T([1, 1, 7], f16), None, [1], [3], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1, 512], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 1024, 1, 1], f16), T([1000, 1024, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([416, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([832, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([1536, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 1024, 7, 7], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 1024, 8, 8], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16), T([104, 104, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16, stride=(81536, 196, 14, 1)), T([104, 104, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 104, 28, 28], f16, stride=(326144, 784, 28, 1)), T([104, 104, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 104, 56, 56], f16), T([256, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 112, 29, 29], f16), T([112, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 112, 31, 31], f16), T([112, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 112, 33, 33], f16), T([112, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 1152, 28, 28], f16), T([256, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 128, 1, 1], f16), T([8, 128, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 128, 112, 112], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 128, 128, 128], f16), T([128, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 128), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 128, 128], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([192, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([384, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 128, 56, 56], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/jx_nest_base","((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 64, 64], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 128, 64, 64], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 128, 64, 64], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 128, 64, 64], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), T([1584], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), T([1584], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 144, 32, 32], f16), T([96, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 1536, 14, 14], f16), T([512, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 1536, 8, 8], f16), T([1280, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 1536, 8, 8], f16), T([512, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 156), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), T([132], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), T([132], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 16, 128, 128], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 16, 224, 224], f16), T([16, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 16, 224, 224], f16), T([32, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 160, 28, 28], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 160, 56, 56], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([160, 160, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([240, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([640, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 168), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 168), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 168), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 168), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 192, 16, 16], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 192, 28, 28], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/volo_d1_224","((T([64, 192, 28, 28], f16), T([384, 192, 2, 2], f16), T([384], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([384, 192, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([768, 192, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 192, 32, 32], f16), T([96, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 192, 56, 56], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 2048, 14, 14], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16), T([832, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 208, 14, 14], f16, stride=(163072, 196, 14, 1)), T([208, 208, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 208, 28, 28], f16), T([512, 208, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16), T([208, 208, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16, stride=(40768, 49, 7, 1)), T([208, 208, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 224, 28, 28], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 224, 56, 56], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 9, 9], f16), None, [2, 2], [4, 4], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 15, 15], f16), T([240, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 17, 17], f16), T([240, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 19, 19], f16), T([240, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 21, 21], f16), T([240, 1, 9, 9], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 240, 8, 8], f16), T([160, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 256, 14, 14], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 256, 16, 16], f16), T([128, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([768, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16, stride=(131072, 256, 16, 1)), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 256, 28, 28], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/jx_nest_base","((T([64, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pit_b_224","((T([64, 256, 31, 31], f16, stride=(246272, 1, 7936, 256)), T([512, 1, 3, 3], f16), T([512], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 256, 32, 32], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 32, 32], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 256, 32, 32], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 256, 32, 32], f16), T([96, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([104, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([208, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 256, 56, 56], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([256, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([256, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 256), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 2560, 7, 7], f16), T([1024, 2560, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 26, 1, 1], f16), T([624, 26, 1, 1], f16), T([624], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 26, 1, 1], f16), T([624, 26, 1, 1], f16), T([624], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16), T([26, 26, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16, stride=(326144, 3136, 56, 1)), T([26, 26, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 28, 1, 1], f16), T([336, 28, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 28, 1, 1], f16), T([336, 28, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 2816, 14, 14], f16), T([512, 2816, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 288, 14, 14], f16), T([128, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 288, 28, 28], f16), T([128, 288, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/jx_nest_base","((T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), T([128], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/swin_base_patch4_window7_224","((T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), T([128], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 3, 224, 224], f16), T([16, 3, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tnt_s_patch16_224","((T([64, 3, 224, 224], f16), T([24, 3, 7, 7], f16), T([24], f16), [4, 4], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pit_b_224","((T([64, 3, 224, 224], f16), T([256, 3, 14, 14], f16), T([256], f16), [7, 7], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/crossvit_9_240","((T([64, 3, 224, 224], f16), T([256, 3, 16, 16], f16), T([256], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gmlp_s16_224","((T([64, 3, 224, 224], f16), T([256, 3, 16, 16], f16), T([256], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/gmixer_24_224","((T([64, 3, 224, 224], f16), T([384, 3, 16, 16], f16), T([384], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 3, 224, 224], f16), T([64, 3, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/volo_d1_224","((T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/beit_base_patch16_224","((T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), T([768], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/deit_base_distilled_patch16_224","((T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), T([768], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixer_b16_224","((T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), T([768], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/vit_base_patch16_224","((T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), T([768], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 3, 224, 224], f16), T([96, 3, 7, 7], f16), T([96], f16), [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 3, 225, 225], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/crossvit_9_240","((T([64, 3, 240, 240], f16), T([128, 3, 12, 12], f16), T([128], f16), [12, 12], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 3, 256, 256], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 3, 256, 256], f16), T([24, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 3, 256, 256], f16), T([32, 3, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([52, 312, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([52, 312, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([32, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([32, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 32, 112, 112], f16), T([32, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 32, 112, 112], f16), T([64, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 32, 112, 112], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 32, 128, 128], f16), T([128, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 32, 128, 128], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 32, 256, 256], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 32, 56, 56], f16), T([128, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 320, 14, 14], f16), T([128, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 320, 28, 28], f16), T([128, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 320, 8, 8], f16), T([160, 320, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), T([14], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), T([14], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 336, 1, 1], f16), T([28, 336, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 336, 1, 1], f16), T([28, 336, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 336, 14, 14], f16), T([104, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 336, 14, 14], f16), T([104, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 352, 14, 14], f16), T([128, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 352, 28, 28], f16), T([128, 352, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 384, 14, 14], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([768, 384, 3, 3], f16), T([768], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 384, 16, 16], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 384, 28, 28], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 384, 32, 32], f16), T([384, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 384), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 384, 56, 56], f16), T([96, 384, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 396), {})"]
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["aten.convolution.default","TIMM/mixnet_l","((T([64, 40, 56, 56], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 40, 56, 56], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 416, 14, 14], f16), T([1024, 416, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 416, 14, 14], f16), T([128, 416, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 416, 28, 28], f16), T([128, 416, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 448, 14, 14], f16), T([128, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 448, 28, 28], f16), T([128, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), T([80], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), T([80], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 480, 14, 14], f16), T([128, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 480, 28, 28], f16), T([128, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 512, 14, 14], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 512, 16, 16], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 512, 16, 16], f16), T([512, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 512), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 512, 16, 16], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/pit_b_224","((T([64, 512, 16, 16], f16, stride=(131584, 1, 8192, 512)), T([1024, 1, 3, 3], f16), T([1024], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 512), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16), T([208, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16), T([416, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 512, 28, 28], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 512, 7, 7], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 512, 8, 8], f16), T([160, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16, stride=(65536, 64, 8, 1)), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 52, 1, 1], f16), T([624, 52, 1, 1], f16), T([624], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 52, 1, 1], f16), T([624, 52, 1, 1], f16), T([624], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([312, 52, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([312, 52, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 52, 28, 28], f16), T([52, 52, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 52, 28, 28], f16, stride=(163072, 784, 28, 1)), T([52, 52, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 52, 56, 56], f16, stride=(652288, 3136, 56, 1)), T([52, 52, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 544, 14, 14], f16), T([128, 544, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 544, 7, 7], f16), T([128, 544, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 56, 28, 28], f16), T([336, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 56, 28, 28], f16), T([336, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 576, 14, 14], f16), T([128, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 576, 7, 7], f16), T([128, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 9, 9], f16), None, [2, 2], [4, 4], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 60, 57, 57], f16), T([60, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 60, 59, 59], f16), T([60, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 60, 61, 61], f16), T([60, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 60, 63, 63], f16), T([60, 1, 9, 9], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 60), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 608, 14, 14], f16), T([128, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 608, 7, 7], f16), T([128, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 624, 1, 1], f16), T([26, 624, 1, 1], f16), T([26], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 624, 1, 1], f16), T([26, 624, 1, 1], f16), T([26], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 624, 1, 1], f16), T([52, 624, 1, 1], f16), T([52], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 624, 1, 1], f16), T([52, 624, 1, 1], f16), T([52], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 624, 14, 14], f16), T([624, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 624), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 624, 14, 14], f16), T([624, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 624), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 64, 1, 1], f16), T([8, 64, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/vgg16","((T([64, 64, 112, 112], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/volo_d1_224","((T([64, 64, 112, 112], f16), T([192, 64, 4, 4], f16), T([192], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/volo_d1_224","((T([64, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 64, 113, 113], f16), T([64, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 64, 115, 115], f16), T([64, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 64, 117, 117], f16), T([64, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 64, 128, 128], f16), T([32, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 64, 128, 128], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16, stride=(2097152, 16384, 128, 1)), T([32, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/dla102","((T([64, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16, stride=(524288, 4096, 64, 1)), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 640, 14, 14], f16), T([128, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 640, 7, 7], f16), T([128, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 672, 14, 14], f16), T([128, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 672, 7, 7], f16), T([128, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 704, 14, 14], f16), T([128, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 704, 7, 7], f16), T([128, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 736, 14, 14], f16), T([128, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 736, 7, 7], f16), T([128, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 768, 14, 14], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 768, 28, 28], f16), T([192, 768, 1, 1], f16), T([192], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/dla102","((T([64, 768, 28, 28], f16), T([256, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 768, 7, 7], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
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["aten.convolution.default","TIMM/mixnet_l","((T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 8, 1, 1], f16), T([128, 8, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/sebotnet33ts_256","((T([64, 8, 1, 1], f16), T([64, 8, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 80, 1, 1], f16), T([480, 80, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 80, 1, 1], f16), T([480, 80, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 800, 14, 14], f16), T([128, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 800, 7, 7], f16), T([128, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 832, 14, 14], f16), T([128, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 832, 7, 7], f16), T([128, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/res2net101_26w_4s","((T([64, 832, 7, 7], f16), T([2048, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 864, 14, 14], f16), T([128, 864, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 864, 7, 7], f16), T([128, 864, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 896, 14, 14], f16), T([128, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 896, 7, 7], f16), T([128, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 928, 14, 14], f16), T([128, 928, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 928, 7, 7], f16), T([128, 928, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([144, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([384, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 96, 56, 56], f16), T([128, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([192, 96, 3, 3], f16), T([192], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([384, 96, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), T([80], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), T([80], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 960, 14, 14], f16), T([128, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 960, 7, 7], f16), T([128, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/mixnet_l","((T([64, 960, 7, 7], f16), T([264, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/tf_mixnet_l","((T([64, 960, 7, 7], f16), T([264, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 992, 14, 14], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TIMM/densenet121","((T([64, 992, 7, 7], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([255, 1024, 1, 1], f16), T([255], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([1024, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([1024, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 128, 48, 64], f16), T([256, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([128, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 2048, 12, 16], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([512, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([256, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([255, 256, 1, 1], f16), T([255], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([256, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/timm_vision_transformer","((T([8, 3, 224, 224], f16), T([384, 3, 16, 16], f16), T([384], f16), [16, 16], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 3, 384, 512], f16), T([32, 3, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 32, 192, 256], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 32, 384, 512], f16), T([64, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 384, 48, 64], f16), T([128, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([1024, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([512, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([255, 512, 1, 1], f16), T([255], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([512, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([32, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/resnext50_32x4d","((T([8, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 64, 96, 128], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/yolov3","((T([8, 768, 24, 32], f16), T([256, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 144, 28, 28], f16), T([32, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 144), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 192, 14, 14], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 192), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 192, 28, 28], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 384, 14, 14], f16), T([384, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 384), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 384, 14, 14], f16), T([96, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 576), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 576, 7, 7], f16), T([160, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/LearningToPaint","((T([96, 9, 128, 128], f16), T([64, 9, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 960, 7, 7], f16), T([320, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})"]
["aten.convolution.default","TorchBench/mobilenet_v2","((T([96, 960, 7, 7], f16), T([960, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 960), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 10, 1, 1], f16), T([1, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 112, 40, 40], f16), T([1, 480, 40, 40], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 112, 40, 40], f16), T([1, 672, 40, 40], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1152, 1, 1], f16), T([1, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1152, 20, 20], f16), T([1, 192, 20, 20], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 128, 128, 128], f16), T([1, 256, 64, 64], f16), T([256, 128, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], True, [1, 1], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 128, 128, 128], f16), T([1, 64, 256, 256], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 128, 160, 239], f16), T([1, 256, 160, 239], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 128, 320, 479], f16), T([1, 128, 320, 479], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 128, 320, 479], f16), T([1, 256, 320, 479], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 128, 320, 479], f16), T([1, 64, 320, 479], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 1, 1], f16), T([1, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 160, 160], f16), T([1, 144, 160, 160], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 160, 160], f16), T([1, 24, 160, 160], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 80, 80], f16), T([1, 144, 163, 163], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 16, 1, 1], f16), T([1, 4, 1, 1], f16), T([16, 4, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 16, 320, 320], f16), T([1, 32, 320, 320], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 192, 20, 20], f16), T([1, 1152, 20, 20], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 192, 20, 20], f16), T([1, 672, 20, 20], f16), T([192, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1920, 1, 1], f16), T([1, 80, 1, 1], f16), T([1920, 80, 1, 1], f16), [1920], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1920, 20, 20], f16), T([1, 1920, 20, 20], f16), T([1920, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1920, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 1920, 20, 20], f16), T([1, 320, 20, 20], f16), T([1920, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 2, 640, 959], f16, stride=(0, 0, 0, 0)), T([1, 64, 640, 959], f16), T([2, 64, 1, 1], f16), [2], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 20, 1, 1], f16), T([1, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 24, 160, 160], f16), T([1, 144, 160, 160], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 24, 160, 160], f16), T([1, 96, 160, 160], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 1, 1], f16), T([1, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 40, 40], f16), T([1, 240, 81, 81], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 80, 80], f16), T([1, 240, 80, 80], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 80, 80], f16), T([1, 40, 80, 80], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 256, 160, 239], f16), T([1, 128, 160, 239], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 256, 160, 239], f16), T([1, 256, 160, 239], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 256, 160, 239], f16), T([1, 512, 160, 239], f16), T([256, 512, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16), T([1, 128, 128, 128], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16), T([1, 256, 66, 66], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 256, 80, 119], f16), T([1, 512, 80, 119], f16), T([256, 512, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 28, 1, 1], f16), T([1, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 3, 256, 256], f16), T([1, 64, 262, 262], f16), T([3, 64, 7, 7], f16), [3], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 32, 1, 1], f16), T([1, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 32, 320, 320], f16), T([1, 3, 641, 641], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 32, 320, 320], f16), T([1, 32, 320, 320], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 320, 20, 20], f16), T([1, 1152, 20, 20], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 320, 20, 20], f16), T([1, 1920, 20, 20], f16), T([320, 1920, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 36, 10, 10], f16, stride=(3600, 1, 360, 36)), T([1, 88, 10, 10], f16), T([36, 88, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 36, 20, 20], f16, stride=(14400, 1, 720, 36)), T([1, 88, 20, 20], f16), T([36, 88, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 36, 40, 40], f16, stride=(57600, 1, 1440, 36)), T([1, 88, 40, 40], f16), T([36, 88, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 36, 5, 5], f16, stride=(900, 1, 180, 36)), T([1, 88, 5, 5], f16), T([36, 88, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 36, 80, 80], f16, stride=(230400, 1, 2880, 36)), T([1, 88, 80, 80], f16), T([36, 88, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","HuggingFace/YituTechConvBert","((T([1, 384, 512], f16, stride=(196608, 1, 384)), T([1, 768, 512], f16), T([384, 768, 1], f16), [0], [1], [0], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 4, 1, 1], f16), T([1, 16, 1, 1], f16), T([4, 16, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 4, 1, 1], f16), T([1, 96, 1, 1], f16), T([4, 96, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 40, 80, 80], f16), T([1, 144, 80, 80], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 40, 80, 80], f16), T([1, 240, 80, 80], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 48, 1, 1], f16), T([1, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 480, 1, 1], f16), T([1, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 480, 40, 40], f16), T([1, 480, 40, 40], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 480, 40, 40], f16), T([1, 480, 40, 40], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 480, 40, 40], f16), T([1, 80, 40, 40], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 512, 40, 59], f16), T([1, 512, 40, 59], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 512, 80, 119], f16), T([1, 1024, 80, 119], f16), T([512, 1024, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 512, 80, 119], f16), T([1, 256, 80, 119], f16), T([512, 256, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 512, 80, 119], f16), T([1, 512, 80, 119], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 6, 1, 1], f16), T([1, 144, 1, 1], f16), T([6, 144, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16), T([1, 128, 128, 128], f16), T([128, 64, 3, 3], f16), [64], [2, 2], [1, 1], [1, 1], True, [1, 1], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16), T([1, 3, 262, 262], f16), T([64, 3, 7, 7], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 64, 320, 479], f16), T([1, 128, 320, 479], f16), T([64, 128, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 64, 640, 959], f16), T([1, 128, 640, 959], f16), T([64, 128, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 64, 640, 959], f16), T([1, 3, 640, 959], f16), T([64, 3, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_unet","((T([1, 64, 640, 959], f16), T([1, 64, 640, 959], f16), T([64, 64, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 1, 1], f16), T([1, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 20, 20], f16), T([1, 672, 43, 43], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 40, 40], f16), T([1, 112, 40, 40], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 40, 40], f16), T([1, 672, 40, 40], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","HuggingFace/YituTechConvBert","((T([1, 768, 512], f16), T([1, 768, 512], f16, stride=(393216, 1, 768)), T([768, 1, 9], f16), [0], [1], [4], [1], False, [0], 768, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 8, 1, 1], f16), T([1, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 80, 1, 1], f16), T([1, 1920, 1, 1], f16), T([80, 1920, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 80, 40, 40], f16), T([1, 240, 40, 40], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 80, 40, 40], f16), T([1, 480, 40, 40], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 810, 10, 10], f16, stride=(81000, 1, 8100, 810)), T([1, 88, 10, 10], f16), T([810, 88, 1, 1], f16), [810], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 810, 20, 20], f16, stride=(324000, 1, 16200, 810)), T([1, 88, 20, 20], f16), T([810, 88, 1, 1], f16), [810], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 810, 40, 40], f16, stride=(1296000, 1, 32400, 810)), T([1, 88, 40, 40], f16), T([810, 88, 1, 1], f16), [810], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 810, 5, 5], f16, stride=(20250, 1, 4050, 810)), T([1, 88, 5, 5], f16), T([810, 88, 1, 1], f16), [810], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 810, 80, 80], f16, stride=(5184000, 1, 64800, 810)), T([1, 88, 80, 80], f16), T([810, 88, 1, 1], f16), [810], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), T([1, 88, 10, 10], f16), T([88, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 88, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), T([1, 88, 10, 10], f16), T([88, 88, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([1, 320, 20, 20], f16), T([88, 320, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([1, 88, 20, 20], f16), T([88, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 88, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([1, 88, 20, 20], f16), T([88, 88, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([1, 112, 40, 40], f16), T([88, 112, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([1, 88, 40, 40], f16), T([88, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 88, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([1, 88, 40, 40], f16), T([88, 88, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([1, 88, 5, 5], f16), T([88, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 88, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([1, 88, 5, 5], f16), T([88, 88, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([1, 40, 80, 80], f16), T([88, 40, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([1, 88, 80, 80], f16), T([88, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 88, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([1, 88, 80, 80], f16), T([88, 88, 1, 1], f16), [88], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 96, 1, 1], f16), T([1, 4, 1, 1], f16), T([96, 4, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 96, 160, 160], f16), T([1, 96, 321, 321], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientdet","((T([1, 96, 320, 320], f16), T([1, 16, 320, 320], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1, 128], f16), T([128, 1, 128], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 1, 128], f16), T([128, 1, 128], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1, 256], f16), T([128, 1, 256], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 1, 256], f16), T([128, 1, 256], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1, 64], f16), T([128, 1, 64], f16), T([1, 1, 3], f16), [0], [1], [1], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 1, 64], f16), T([128, 1, 64], f16), T([1, 1, 3], f16), [0], [1], [1], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 10, 1, 1], f16), T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 10, 1, 1], f16), T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16), T([128, 100, 14, 14], f16), T([100, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 100, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16), T([128, 80, 14, 14], f16), T([100, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 1, 1], f16), T([128, 1024, 1, 1], f16), T([1024, 1024, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([128, 448, 14, 14], f16), T([1024, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([128, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 1024, 4, 4], f16), T([128, 1280, 4, 4], f16), T([1024, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([128, 144, 7, 7], f16), T([1024, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), T([128, 1440, 7, 7], f16), T([1024, 1440, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 1024, 7, 7], f16), T([128, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([128, 256, 7, 7], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 1024, 7, 7], f16), T([128, 464, 7, 7], f16), T([1024, 464, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([128, 512, 14, 14], f16), T([1024, 512, 3, 3], f16), [1024], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 1024, 7, 7], f16), T([128, 960, 7, 7], f16), T([1024, 960, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 1044, 1, 1], f16), T([128, 87, 1, 1], f16), T([1044, 87, 1, 1], f16), [1044], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), T([128, 1044, 7, 7], f16), T([1044, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1044, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), T([128, 174, 7, 7], f16), T([1044, 174, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 106, 14, 14], f16), T([128, 570, 14, 14], f16), T([106, 570, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 1104, 1, 1], f16), T([128, 48, 1, 1], f16), T([1104, 48, 1, 1], f16), [1104], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), T([1104, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1104, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1104, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1104, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([128, 184, 7, 7], f16), T([1104, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), T([128, 184, 7, 7], f16), T([1104, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 112, 12, 12], f16), T([128, 480, 12, 12], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 112, 12, 12], f16), T([128, 672, 12, 12], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([128, 336, 14, 14], f16), T([112, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([128, 384, 14, 14], f16), T([112, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 112, 14, 14], f16), T([128, 80, 14, 14], f16), T([112, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16), T([128, 256, 56, 56], f16), T([112, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16), T([128, 64, 56, 56], f16), T([112, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 112, 7, 7], f16), T([128, 112, 14, 14], f16), T([112, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), T([112, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([112, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([112, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 1152, 1, 1], f16), T([128, 288, 1, 1], f16), T([1152, 288, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 1, 1], f16), T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 1152, 1, 1], f16), T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 1152, 14, 14], f16), T([128, 384, 14, 14], f16), T([1152, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([128, 192, 6, 6], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), T([116, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 116, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 28, 28], f16), T([116, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 116, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16), T([128, 116, 28, 28], f16), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 117, 14, 14], f16), T([128, 636, 14, 14], f16), T([117, 636, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16), T([128, 12, 56, 56], f16), T([12, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 12, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16), T([128, 48, 56, 56], f16), T([12, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16), T([128, 72, 56, 56], f16), T([12, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 1, 1], f16), T([128, 16, 1, 1], f16), T([120, 16, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16), T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16), T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 1, 1], f16), T([128, 8, 1, 1], f16), T([120, 8, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 14, 14], f16), T([128, 360, 14, 14], f16), T([120, 360, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 120, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 5, 5], f16), [120], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 120, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 7, 7], f16), [120], [1, 1], [3, 3], [1, 1], False, [0, 0], 120, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([128, 120, 56, 56], f16), T([120, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 120, 56, 56], f16), T([128, 24, 56, 56], f16), T([120, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 128, 1, 1], f16), T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 128, 1, 1], f16), T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 128, 1, 1], f16), T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 1, 1], f16), T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 64, 14, 14], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 128, 14, 14], f16), T([128, 702, 14, 14], f16), T([128, 702, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([128, 72, 14, 14], f16), T([128, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/levit_128","((T([128, 128, 14, 14], f16, stride=(25088, 1, 1792, 128)), T([128, 64, 28, 28], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 16, 16], f16), T([128, 256, 16, 16], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 28, 28], f16), T([128, 128, 56, 56], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 28, 28], f16), T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 64, 56, 56], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 64, 56, 56], f16), T([128, 64, 2, 2], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 128, 64, 64], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 128, 48, 48], f16), T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 128, 48, 48], f16), T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16), T([128, 18, 56, 56], f16), T([128, 18, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16), T([128, 192, 56, 56], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 128, 56, 56], f16), T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 56, 56], f16), T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 128, 56, 56], f16), T([128, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 128, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 32, 128, 128], f16), T([128, 32, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 32, 128, 128], f16), T([128, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 128, 7, 7], f16), T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 128, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 128, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 8, 8], f16), T([128, 512, 16, 16], f16), T([128, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 8, 8], f16), T([128, 512, 8, 8], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 1280, 1, 1], f16), T([128, 256, 1, 1], f16), T([1280, 256, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 1280, 4, 4], f16), T([128, 1024, 7, 7], f16), T([1280, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 1280, 6, 6], f16), T([128, 320, 6, 6], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 1280, 7, 7], f16), T([128, 185, 7, 7], f16), T([1280, 185, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 1344, 7, 7], f16), T([128, 224, 7, 7], f16), T([1344, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 14, 1, 1], f16), T([128, 152, 1, 1], f16), T([14, 152, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([14, 14, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([14, 14, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 140, 7, 7], f16), T([128, 768, 7, 7], f16), T([140, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16), T([128, 384, 14, 14], f16), T([1408, 384, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16), T([128, 384, 14, 14], f16), T([1408, 384, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 1, 1], f16), T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 144, 1, 1], f16), T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 144, 24, 24], f16), T([128, 144, 48, 48], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 128, 56, 56], f16), T([144, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144, 144, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 28, 28], f16), T([128, 144, 59, 59], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 288, 28, 28], f16), T([144, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 72, 28, 28], f16), T([144, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([128, 144, 48, 48], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([128, 24, 48, 48], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 144, 7, 7], f16), T([144, 144, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 18, 14, 14], f16), T([144, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 36, 14, 14], f16), T([144, 36, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 72, 14, 14], f16), T([144, 72, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 151, 7, 7], f16), T([128, 840, 7, 7], f16), T([151, 840, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 1, 1], f16), T([128, 14, 1, 1], f16), T([152, 14, 1, 1], f16), [152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 1, 1], f16), T([128, 38, 1, 1], f16), T([152, 38, 1, 1], f16), [152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152, 152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 19, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 28, 28], f16), T([152, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 19, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16), T([128, 304, 14, 14], f16), T([152, 304, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 152, 28, 28], f16), T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 1536, 1, 1], f16), T([128, 384, 1, 1], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 1, 1], f16), T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 1, 1], f16), T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 1536, 14, 14], f16), T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), T([128, 512, 14, 14], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 1536, 16, 16], f16), T([128, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([128, 1536, 7, 7], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([128, 384, 7, 7], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 1536, 8, 8], f16), T([128, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 16, 1, 1], f16), T([128, 120, 1, 1], f16), T([16, 120, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/levit_128","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 16, 112, 112], f16), T([128, 8, 112, 112], f16), T([16, 8, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 16, 56, 56], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 16, 56, 56], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 16, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([128, 16, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([16, 1, 3, 3], f16), [16], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 16, 96, 96], f16), T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 16, 96, 96], f16), T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 16, 96, 96], f16), T([128, 32, 96, 96], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([128, 160, 16, 16], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([128, 160, 32, 32], f16), T([160, 160, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([128, 640, 16, 16], f16), T([160, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([160, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 160, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([160, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([128, 256, 28, 28], f16), T([160, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 160, 32, 32], f16), T([128, 192, 32, 32], f16), T([160, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([128, 112, 7, 7], f16), T([160, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 160, 7, 7], f16), T([128, 576, 7, 7], f16), T([160, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 160, 7, 7], f16), T([128, 672, 7, 7], f16), T([160, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 160, 7, 7], f16), T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 160, 7, 7], f16), T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 162, 56, 56], f16), T([128, 162, 56, 56], f16), T([162, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 162, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 162, 56, 56], f16), T([128, 27, 56, 56], f16), T([162, 27, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 162, 7, 7], f16), T([128, 906, 7, 7], f16), T([162, 906, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 174, 7, 7], f16), T([128, 972, 7, 7], f16), T([174, 972, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), T([128, 18, 28, 28], f16), T([18, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), T([128, 72, 14, 14], f16), T([18, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([128, 36, 28, 28], f16), T([18, 36, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 256, 56, 56], f16), T([18, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 18, 7, 7], f16), T([128, 144, 7, 7], f16), T([18, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 184, 14, 14], f16), T([128, 184, 14, 14], f16), T([184, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 184, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 184, 14, 14], f16), T([128, 80, 14, 14], f16), T([184, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 184, 7, 7], f16), T([128, 1104, 7, 7], f16), T([184, 1104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 184, 7, 7], f16), T([128, 672, 7, 7], f16), T([184, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([128, 720, 7, 7], f16), T([184, 720, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([128, 736, 7, 7], f16), T([184, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 185, 7, 7], f16), T([128, 1044, 7, 7], f16), T([185, 1044, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 19, 1, 1], f16), T([128, 228, 1, 1], f16), T([19, 228, 1, 1], f16), [19], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 192, 14, 14], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([128, 512, 14, 14], f16), T([192, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([128, 64, 14, 14], f16), T([192, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/alexnet","((T([128, 192, 27, 27], f16), T([128, 64, 27, 27], f16), T([192, 64, 5, 5], f16), [192], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([128, 32, 112, 112], f16), T([192, 32, 4, 4], f16), [192], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([128, 32, 28, 28], f16), T([192, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([128, 384, 28, 28], f16), T([192, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 96, 56, 56], f16), T([192, 96, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 96, 56, 56], f16), T([192, 96, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 128, 64, 64], f16), T([192, 128, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 128, 64, 64], f16), T([192, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 192, 32, 32], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 192, 6, 6], f16), T([128, 1152, 6, 6], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 192, 6, 6], f16), T([128, 672, 6, 6], f16), T([192, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 192, 7, 7], f16), T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 192, 7, 7], f16), T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([128, 672, 7, 7], f16), T([192, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 192, 7, 7], f16), T([128, 672, 7, 7], f16), T([192, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 192, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 5, 5], f16), [192], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 192, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 7, 7], f16), [192], [1, 1], [3, 3], [1, 1], False, [0, 0], 192, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 1920, 16, 16], f16), T([128, 640, 16, 16], f16), T([1920, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([128, 1920, 16, 16], f16), T([1920, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1920, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([128, 1920, 8, 8], f16), T([1920, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1920, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([128, 640, 8, 8], f16), T([1920, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 1984, 1, 1], f16), T([128, 1344, 1, 1], f16), T([1984, 1344, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 1984, 7, 7], f16), T([128, 352, 7, 7], f16), T([1984, 352, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 20, 1, 1], f16), T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 20, 1, 1], f16), T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 20, 1, 1], f16), T([128, 72, 1, 1], f16), T([20, 72, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16), T([128, 120, 28, 28], f16), T([20, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16), T([128, 20, 28, 28], f16), T([20, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 20, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16), T([128, 72, 28, 28], f16), T([20, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 200, 14, 14], f16), T([128, 200, 14, 14], f16), T([200, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 200, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 200, 14, 14], f16), T([128, 200, 28, 28], f16), T([200, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 200, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 200, 14, 14], f16), T([128, 80, 14, 14], f16), T([200, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 200, 28, 28], f16), T([128, 40, 28, 28], f16), T([200, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 2048, 7, 7], f16), T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([128, 896, 7, 7], f16), T([2048, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 216, 14, 14], f16), T([128, 216, 14, 14], f16), T([216, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 216, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 216, 14, 14], f16), T([128, 72, 14, 14], f16), T([216, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 28, 28], f16), T([128, 512, 28, 28], f16), T([224, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 56, 56], f16), T([128, 256, 56, 56], f16), T([224, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 224, 7, 7], f16), T([128, 1104, 7, 7], f16), T([224, 1104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 224, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([128, 768, 7, 7], f16), T([224, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 228, 1, 1], f16), T([128, 19, 1, 1], f16), T([228, 19, 1, 1], f16), [228], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), T([128, 228, 56, 56], f16), T([228, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 228, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 228, 56, 56], f16), T([128, 38, 56, 56], f16), T([228, 38, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 2304, 7, 7], f16), T([128, 1536, 7, 7], f16), T([2304, 1536, 1, 1], f16), [2304], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 2304, 7, 7], f16), T([128, 768, 7, 7], f16), T([2304, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16), T([232, 232, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 14, 14], f16), T([232, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 232, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), T([232, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 232, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), T([232, 232, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([232, 232, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 24, 1, 1], f16), T([128, 360, 1, 1], f16), T([24, 360, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 24, 1, 1], f16), T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 24, 1, 1], f16), T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 24, 1, 1], f16), T([128, 8, 1, 1], f16), T([24, 8, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16), T([128, 16, 112, 112], f16), T([24, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), T([24, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 112, 112], f16), T([128, 3, 224, 224], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 24, 112, 112], f16), T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 28, 28], f16), T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 24, 28, 28], f16), T([128, 24, 56, 56], f16), T([24, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 24, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 24, 48, 48], f16), T([128, 144, 48, 48], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 24, 48, 48], f16), T([128, 96, 48, 48], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 24, 56, 56], f16), T([128, 144, 56, 56], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([128, 144, 56, 56], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([128, 16, 56, 56], f16), T([24, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 112, 112], f16), T([24, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 3, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 32, 112, 112], f16), T([24, 32, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 24, 56, 56], f16), T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 24, 56, 56], f16), T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 24, 56, 56], f16), T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 24, 56, 56], f16), T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 24, 56, 56], f16), T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 24, 56, 56], f16), T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 24, 56, 56], f16), T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 24, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 5, 5], f16), [24], [1, 1], [2, 2], [1, 1], False, [0, 0], 24, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 24, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 7, 7], f16), [24], [1, 1], [3, 3], [1, 1], False, [0, 0], 24, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 1, 1], f16), T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 240, 1, 1], f16), T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 240, 1, 1], f16), T([128, 64, 1, 1], f16), T([240, 64, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 240, 1, 1], f16), T([128, 960, 1, 1], f16), T([240, 960, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 1, 1], f16), T([128, 960, 1, 1], f16), T([240, 960, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), T([128, 240, 24, 24], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 14, 14], f16), T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), T([128, 240, 29, 29], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([128, 240, 24, 24], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([128, 40, 24, 24], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 240, 28, 28], f16), T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 28, 28], f16), T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 240, 28, 28], f16), T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([128, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 25, 1, 1], f16), T([128, 300, 1, 1], f16), T([25, 300, 1, 1], f16), [25], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16), T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16), T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([256, 256, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16), T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16), T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 256, 1, 1], f16), T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 256, 1, 1], f16), T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/alexnet","((T([128, 256, 13, 13], f16), T([128, 256, 13, 13], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/alexnet","((T([128, 256, 13, 13], f16), T([128, 384, 13, 13], f16), T([256, 384, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 128, 28, 28], f16), T([256, 128, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 128, 28, 28], f16), T([256, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([128, 256, 32, 32], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [0, 0], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [0, 0], [1, 1], False, [0, 0], 2, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 24, 24], f16), T([128, 512, 24, 24], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 24, 24], f16), T([128, 512, 24, 24], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([128, 128, 56, 56], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([128, 36, 28, 28], f16), T([256, 36, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 28, 28], f16), T([128, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([128, 64, 28, 28], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 256, 32, 32], f16), T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 32, 32], f16), T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 32, 32], f16), T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), T([128, 128, 48, 48], f16), T([256, 128, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), T([128, 128, 48, 48], f16), T([256, 128, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([128, 112, 56, 56], f16), T([256, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), T([128, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16), T([128, 448, 56, 56], f16), T([256, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 128, 7, 7], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16), T([128, 144, 7, 7], f16), T([256, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([128, 256, 14, 14], f16, stride=(200704, 196, 14, 1)), T([256, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([256, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 2560, 8, 8], f16), T([128, 640, 8, 8], f16), T([2560, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 27, 56, 56], f16), T([128, 96, 56, 56], f16), T([27, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 28, 1, 1], f16), T([128, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 28, 1, 1], f16), T([128, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([28, 28, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([28, 28, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 56, 56], f16, stride=(702464, 3136, 56, 1)), T([28, 28, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 288, 1, 1], f16), T([128, 1152, 1, 1], f16), T([288, 1152, 1, 1], f16), [288], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16), T([128, 288, 14, 14], f16), T([288, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 288, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16), T([128, 96, 14, 14], f16), T([288, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16), T([128, 432, 28, 28], f16), T([288, 432, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 30, 1, 1], f16), T([128, 366, 1, 1], f16), T([30, 366, 1, 1], f16), [30], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 300, 1, 1], f16), T([128, 25, 1, 1], f16), T([300, 25, 1, 1], f16), [300], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([128, 300, 28, 28], f16), T([300, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 300, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([128, 50, 28, 28], f16), T([300, 50, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 152, 14, 14], f16), T([304, 152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 288, 28, 28], f16), T([304, 288, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 304, 14, 14], f16), T([304, 304, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 304, 14, 14], f16), T([304, 304, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 608, 14, 14], f16), T([304, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 3072, 6, 6], f16), T([128, 1536, 6, 6], f16), T([3072, 1536, 1, 1], f16), [3072], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 3072, 6, 6], f16), T([128, 1536, 6, 6], f16), T([3072, 1536, 1, 1], f16), [3072], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 3072, 7, 7], f16), T([128, 768, 7, 7], f16), T([3072, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 32, 1, 1], f16), T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 32, 1, 1], f16), T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 32, 1, 1], f16), T([128, 128, 1, 1], f16), T([32, 128, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 32, 1, 1], f16), T([128, 360, 1, 1], f16), T([32, 360, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 32, 1, 1], f16), T([128, 720, 1, 1], f16), T([32, 720, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 32, 1, 1], f16), T([128, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 32, 1, 1], f16), T([128, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 32, 112, 112], f16), T([128, 16, 112, 112], f16), T([32, 16, 3, 3], f16), [32], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 32, 112, 112], f16), T([128, 3, 224, 224], f16), T([32, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([128, 3, 225, 225], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 32, 128, 128], f16), T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 32, 128, 128], f16), T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 32, 128, 128], f16), T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 3, 256, 256], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 149, 149], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 32, 149, 149], f16), T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 149, 149], f16), T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 32, 149, 149], f16), T([128, 3, 299, 299], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([128, 144, 28, 28], f16), T([32, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 28, 28], f16), T([128, 144, 28, 28], f16), T([32, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([128, 192, 28, 28], f16), T([32, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 28, 28], f16), T([128, 192, 28, 28], f16), T([32, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 32, 28, 28], f16), T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([128, 96, 28, 28], f16), T([32, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 32, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 32, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([32, 1, 3, 3], f16), [32], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 32, 35, 35], f16), T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 35, 35], f16), T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 32, 35, 35], f16), T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/levit_128","((T([128, 32, 56, 56], f16), T([128, 16, 112, 112], f16), T([32, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([128, 16, 56, 56], f16), T([32, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([128, 18, 56, 56], f16), T([32, 18, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([32, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 32, 56, 56], f16), T([128, 64, 56, 56], f16), T([32, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 32, 96, 96], f16), T([128, 16, 96, 96], f16), T([32, 16, 3, 3], f16), [32], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 32, 96, 96], f16), T([128, 16, 96, 96], f16), T([32, 16, 3, 3], f16), [32], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([128, 3, 192, 192], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([128, 32, 96, 96], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 128, 28, 28], f16), T([320, 128, 2, 2], f16), [320], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([128, 320, 14, 14], f16, stride=(63040, 1, 4480, 320)), T([320, 1, 3, 3], f16), [320], [1, 1], [1, 1], [1, 1], False, [0, 0], 320, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 320, 6, 6], f16), T([128, 1152, 6, 6], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 320, 7, 7], f16), T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 320, 7, 7], f16), T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 320, 7, 7], f16), T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 320, 7, 7], f16), T([128, 960, 7, 7], f16), T([320, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 320, 8, 8], f16), T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 320, 8, 8], f16), T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 320, 8, 8], f16), T([128, 1280, 8, 8], f16), T([320, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 320, 8, 8], f16), T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 320, 8, 8], f16), T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 320, 8, 8], f16), T([128, 192, 17, 17], f16), T([320, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 320, 8, 8], f16), T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 320, 8, 8], f16), T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 320, 8, 8], f16), T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16), T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), T([336, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), T([336, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 352, 7, 7], f16), T([128, 1104, 7, 7], f16), T([352, 1104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 36, 1, 1], f16), T([128, 432, 1, 1], f16), T([36, 432, 1, 1], f16), [36], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), T([128, 72, 14, 14], f16), T([36, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 18, 56, 56], f16), T([36, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 256, 56, 56], f16), T([36, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 36, 28, 28], f16), T([36, 36, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16), T([128, 24, 56, 56], f16), T([36, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16), T([128, 36, 56, 56], f16), T([36, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 36, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 36, 7, 7], f16), T([128, 144, 7, 7], f16), T([36, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 1, 1], f16), T([128, 24, 1, 1], f16), T([360, 24, 1, 1], f16), [360], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 1, 1], f16), T([128, 32, 1, 1], f16), T([360, 32, 1, 1], f16), [360], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 120, 14, 14], f16), T([360, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16), T([360, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 360, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16), T([360, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 360, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 72, 14, 14], f16), T([360, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 366, 1, 1], f16), T([128, 30, 1, 1], f16), T([366, 30, 1, 1], f16), [366], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([128, 366, 28, 28], f16), T([366, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 366, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 366, 28, 28], f16), T([128, 61, 28, 28], f16), T([366, 61, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 1, 1], f16), T([128, 38, 1, 1], f16), T([368, 38, 1, 1], f16), [368], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 1, 1], f16), T([128, 92, 1, 1], f16), T([368, 92, 1, 1], f16), [368], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 14, 14], f16), T([128, 152, 14, 14], f16), T([368, 152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 152, 14, 14], f16), T([368, 152, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 14, 14], f16), T([368, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 46, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16), T([368, 368, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16), T([368, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 46, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16), T([128, 152, 1, 1], f16), T([38, 152, 1, 1], f16), [38], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16), T([128, 368, 1, 1], f16), T([38, 368, 1, 1], f16), [38], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 38, 56, 56], f16), T([128, 162, 56, 56], f16), T([38, 162, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 1, 1], f16), T([128, 1536, 1, 1], f16), T([384, 1536, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/alexnet","((T([128, 384, 13, 13], f16), T([128, 192, 13, 13], f16), T([384, 192, 3, 3], f16), [384], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([128, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([128, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 192, 28, 28], f16), T([384, 192, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([128, 192, 28, 28], f16), T([384, 192, 2, 2], f16), [384], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 192, 28, 28], f16), T([384, 192, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 384, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 384, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 384, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), [384], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 14, 14], f16), T([128, 384, 28, 28], f16), T([384, 64, 3, 3], f16), [384], [2, 2], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resmlp_12_224","((T([128, 384, 14, 14], f16, stride=(75264, 1, 5376, 384)), T([128, 3, 224, 224], f16), T([384, 3, 16, 16], f16), [384], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 384, 16, 16], f16), T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 384, 16, 16], f16), T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 17, 17], f16), T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 17, 17], f16), T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 17, 17], f16), T([128, 288, 35, 35], f16), T([384, 288, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 384, 28, 28], f16), T([128, 192, 28, 28], f16), T([384, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 384, 28, 28], f16), T([128, 384, 28, 28], f16), T([384, 48, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 28, 28], f16), T([128, 512, 28, 28], f16), T([384, 512, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 7, 7], f16), T([128, 1536, 7, 7], f16), T([384, 1536, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 7, 7], f16), T([128, 384, 14, 14], f16), T([384, 64, 3, 3], f16), [384], [2, 2], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 384, 7, 7], f16), T([128, 384, 7, 7], f16), T([384, 64, 3, 3], f16), [384], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 1280, 8, 8], f16), T([384, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), [0], [1, 1], [0, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), [0], [1, 1], [0, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 1, 3], f16), [0], [1, 1], [0, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), [0], [1, 1], [1, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), [0], [1, 1], [1, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384, 384, 3, 1], f16), [0], [1, 1], [1, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 4, 1, 1], f16), T([128, 96, 1, 1], f16), T([4, 96, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 4, 1, 1], f16), T([128, 96, 1, 1], f16), T([4, 96, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 184, 14, 14], f16), T([40, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 200, 14, 14], f16), T([40, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 240, 14, 14], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 40, 14, 14], f16), T([40, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 40, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 40, 28, 28], f16), T([40, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 40, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 40, 24, 24], f16), T([128, 144, 24, 24], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 40, 24, 24], f16), T([128, 240, 24, 24], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 40, 28, 28], f16), T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([128, 144, 28, 28], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 40, 28, 28], f16), T([128, 144, 28, 28], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([128, 24, 28, 28], f16), T([40, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 40, 28, 28], f16), T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 40, 28, 28], f16), T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 40, 28, 28], f16), T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 42, 1, 1], f16), T([128, 504, 1, 1], f16), T([42, 504, 1, 1], f16), [42], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 432, 1, 1], f16), T([128, 36, 1, 1], f16), T([432, 36, 1, 1], f16), [432], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16), T([432, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 72, 14, 14], f16), T([432, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 14, 14], f16), T([128, 1024, 14, 14], f16), T([448, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 28, 28], f16), T([128, 512, 28, 28], f16), T([448, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16), T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 448, 8, 8], f16), T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16), T([128, 1280, 8, 8], f16), T([448, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 47, 1, 1], f16), T([128, 570, 1, 1], f16), T([47, 570, 1, 1], f16), [47], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 48, 1, 1], f16), T([128, 1104, 1, 1], f16), T([48, 1104, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 48, 1, 1], f16), T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 48, 1, 1], f16), T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 48, 1, 1], f16), T([128, 736, 1, 1], f16), T([48, 736, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 48, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 5, 5], f16), [48], [1, 1], [2, 2], [1, 1], False, [0, 0], 48, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 48, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 7, 7], f16), [48], [1, 1], [3, 3], [1, 1], False, [0, 0], 48, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 48, 56, 56], f16), T([128, 24, 56, 56], f16), T([48, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 480, 1, 1], f16), T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 480, 1, 1], f16), T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 80, 12, 12], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 480, 14, 14], f16), T([128, 912, 14, 14], f16), T([480, 912, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16), T([128, 160, 7, 7], f16), T([480, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16), T([128, 480, 7, 7], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 50, 28, 28], f16), T([128, 228, 28, 28], f16), T([50, 228, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 504, 1, 1], f16), T([128, 42, 1, 1], f16), T([504, 42, 1, 1], f16), [504], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16), T([504, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 504, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([128, 84, 14, 14], f16), T([504, 84, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 512, 1, 1], f16), T([128, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 512, 1, 1], f16), T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 512, 1, 1], f16), T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), T([512, 512, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 512, 14, 14], f16), T([128, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([128, 128, 14, 14], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([128, 256, 28, 28], f16), T([512, 256, 3, 3], f16), [512], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([128, 72, 14, 14], f16), T([512, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([128, 128, 28, 28], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([128, 224, 28, 28], f16), T([512, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), T([128, 736, 28, 28], f16), T([512, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 256, 14, 14], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 256, 14, 14], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 320, 14, 14], f16), T([512, 320, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([512, 1, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 512, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 53, 1, 1], f16), T([128, 636, 1, 1], f16), T([53, 636, 1, 1], f16), [53], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 56, 1, 1], f16), T([128, 6, 1, 1], f16), T([56, 6, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16), T([128, 480, 14, 14], f16), T([56, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 56, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56, 56, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([56, 56, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), T([56, 56, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16), T([128, 672, 14, 14], f16), T([56, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([56, 56, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 56, 56], f16), T([56, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 7, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 56, 56, 56], f16), T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 570, 1, 1], f16), T([128, 47, 1, 1], f16), T([570, 47, 1, 1], f16), [570], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([128, 570, 14, 14], f16), T([570, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 570, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([128, 95, 14, 14], f16), T([570, 95, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 576, 14, 14], f16), T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 576, 7, 7], f16), T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 58, 1, 1], f16), T([128, 702, 1, 1], f16), T([58, 702, 1, 1], f16), [58], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 24, 28, 28], f16), T([58, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16), T([58, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 58, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16), T([58, 58, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16, stride=(90944, 784, 28, 1)), T([58, 58, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 56, 56], f16), T([58, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 58, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 56, 56], f16), T([128, 24, 56, 56], f16), T([58, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 6, 1, 1], f16), T([128, 144, 1, 1], f16), T([6, 144, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 6, 1, 1], f16), T([128, 144, 1, 1], f16), T([6, 144, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 6, 1, 1], f16), T([128, 56, 1, 1], f16), T([6, 56, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16), T([128, 40, 28, 28], f16), T([60, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16), T([128, 60, 28, 28], f16), T([60, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 61, 28, 28], f16), T([128, 300, 28, 28], f16), T([61, 300, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 636, 1, 1], f16), T([128, 53, 1, 1], f16), T([636, 53, 1, 1], f16), [636], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 106, 14, 14], f16), T([636, 106, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16), T([636, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 636, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 64, 1, 1], f16), T([128, 240, 1, 1], f16), T([64, 240, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 64, 1, 1], f16), T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 64, 1, 1], f16), T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 64, 1, 1], f16), T([128, 768, 1, 1], f16), T([64, 768, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 64, 112, 112], f16), T([128, 16, 112, 112], f16), T([64, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 64, 112, 112], f16), T([128, 16, 112, 112], f16), T([64, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 64, 112, 112], f16), T([128, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 64, 112, 112], f16), T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 64, 128, 128], f16), T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 128, 128], f16), T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 128, 128], f16), T([128, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([128, 192, 14, 14], f16), T([64, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 64, 14, 14], f16), T([128, 192, 14, 14], f16), T([64, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 64, 14, 14], f16), T([128, 384, 14, 14], f16), T([64, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 64, 14, 14], f16), T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 64, 147, 147], f16), T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 147, 147], f16), T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 64, 147, 147], f16), T([128, 32, 147, 147], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([128, 32, 28, 28], f16), T([64, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/levit_128","((T([128, 64, 28, 28], f16), T([128, 32, 56, 56], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([128, 36, 28, 28], f16), T([64, 36, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([64, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([128, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([64, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([128, 288, 35, 35], f16), T([64, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/alexnet","((T([128, 64, 55, 55], f16), T([128, 3, 224, 224], f16), T([64, 3, 11, 11], f16), [64], [4, 4], [2, 2], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 128, 56, 56], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 64, 56, 56], f16), T([128, 128, 56, 56], f16), T([64, 128, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([128, 256, 56, 56], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 32, 112, 112], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 32, 56, 56], f16), T([64, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), T([64, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nfnet_l0","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([128, 3, 224, 224], f16), T([64, 3, 4, 4], f16), [64], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64)), T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64)), T([64, 1, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 64, 96, 96], f16), T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 64, 96, 96], f16), T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([128, 160, 16, 16], f16), T([640, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([128, 192, 32, 32], f16), T([640, 192, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 640, 16, 16], f16), T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 16, 16], f16), T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([128, 1920, 8, 8], f16), T([640, 1920, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_botnext26ts_256","((T([128, 640, 8, 8], f16), T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 8, 8], f16), T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([128, 640, 16, 16], f16), T([640, 640, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 672, 1, 1], f16), T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 672, 1, 1], f16), T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([128, 112, 12, 12], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 672, 6, 6], f16), T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 672, 7, 7], f16), T([128, 672, 17, 17], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 70, 1, 1], f16), T([128, 840, 1, 1], f16), T([70, 840, 1, 1], f16), [70], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 702, 1, 1], f16), T([128, 58, 1, 1], f16), T([702, 58, 1, 1], f16), [702], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), T([128, 117, 14, 14], f16), T([702, 117, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), T([128, 702, 14, 14], f16), T([702, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 702, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 72, 1, 1], f16), T([128, 20, 1, 1], f16), T([72, 20, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 72, 1, 1], f16), T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 72, 1, 1], f16), T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([128, 18, 28, 28], f16), T([72, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 72, 14, 14], f16), T([128, 200, 14, 14], f16), T([72, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 72, 14, 14], f16), T([128, 216, 14, 14], f16), T([72, 216, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([128, 36, 28, 28], f16), T([72, 36, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 72, 14, 14], f16), T([128, 366, 14, 14], f16), T([72, 366, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16), T([72, 72, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 72, 28, 28], f16), T([128, 144, 28, 28], f16), T([72, 144, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hrnet_w18","((T([128, 72, 7, 7], f16), T([128, 144, 7, 7], f16), T([72, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 720, 1, 1], f16), T([128, 32, 1, 1], f16), T([720, 32, 1, 1], f16), [720], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 720, 14, 14], f16), T([128, 120, 14, 14], f16), T([720, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 720, 7, 7], f16), T([128, 720, 14, 14], f16), T([720, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 720, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 736, 1, 1], f16), T([128, 48, 1, 1], f16), T([736, 48, 1, 1], f16), [736], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([128, 184, 7, 7], f16), T([736, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([128, 736, 7, 7], f16), T([736, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 736, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 75, 1, 1], f16), T([128, 906, 1, 1], f16), T([75, 906, 1, 1], f16), [75], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 1, 1], f16), T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 1, 1], f16), T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 768, 1, 1], f16), T([128, 64, 1, 1], f16), T([768, 64, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 1, 1], f16), T([128, 768, 1, 1], f16), T([768, 768, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 12, 12], f16), T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 12, 12], f16), T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 12, 12], f16), T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 12, 12], f16), T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 12, 12], f16), T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 12, 12], f16), T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), T([128, 1088, 14, 14], f16), T([768, 1088, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 768, 14, 14], f16), T([128, 128, 14, 14], f16), T([768, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/botnet26t_256","((T([128, 768, 16, 16], f16), T([128, 256, 16, 16], f16), T([768, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 24, 24], f16), T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 24, 24], f16), T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 6, 6], f16), T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 6, 6], f16), T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 6, 6], f16), T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 6, 6], f16), T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 6, 6], f16), T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_nfnet","((T([128, 768, 6, 6], f16), T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([128, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([128, 384, 14, 14], f16), T([768, 384, 2, 2], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 768, 7, 7], f16), T([128, 768, 14, 14], f16), T([768, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 768, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16), T([768, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetv3_b","((T([128, 8, 1, 1], f16), T([128, 120, 1, 1], f16), T([8, 120, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 8, 1, 1], f16), T([128, 24, 1, 1], f16), T([8, 24, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 8, 1, 1], f16), T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 8, 1, 1], f16), T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16), T([128, 16, 112, 112], f16), T([8, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 8, 112, 112], f16), T([128, 3, 224, 224], f16), T([8, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/lcnet_050","((T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 80, 12, 12], f16), T([128, 240, 12, 12], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 80, 12, 12], f16), T([128, 480, 12, 12], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([128, 184, 14, 14], f16), T([80, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([128, 200, 14, 14], f16), T([80, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 80, 14, 14], f16), T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 80, 14, 14], f16), T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 80, 14, 14], f16), T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 80, 14, 14], f16), T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 80, 14, 14], f16), T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([128, 40, 14, 14], f16), T([80, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 80, 14, 14], f16), T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 80, 14, 14], f16), T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 80, 14, 14], f16), T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16), T([80, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 80, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/coat_lite_mini","((T([128, 80, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 80, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([80, 1, 3, 3], f16), [80], [1, 1], [1, 1], [1, 1], False, [0, 0], 80, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16), T([128, 672, 7, 7], f16), T([80, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16), T([128, 80, 7, 7], f16), T([80, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 80, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16), T([128, 960, 7, 7], f16), T([80, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 80, 73, 73], f16), T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 80, 73, 73], f16), T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 80, 73, 73], f16), T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 81, 1, 1], f16), T([128, 972, 1, 1], f16), T([81, 972, 1, 1], f16), [81], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 84, 14, 14], f16), T([128, 432, 14, 14], f16), T([84, 432, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 840, 1, 1], f16), T([128, 70, 1, 1], f16), T([840, 70, 1, 1], f16), [840], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([128, 140, 7, 7], f16), T([840, 140, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([128, 840, 7, 7], f16), T([840, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 840, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 87, 1, 1], f16), T([128, 1044, 1, 1], f16), T([87, 1044, 1, 1], f16), [87], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 14, 14], f16), T([128, 1024, 14, 14], f16), T([896, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 7, 7], f16), T([128, 2048, 7, 7], f16), T([896, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 906, 1, 1], f16), T([128, 75, 1, 1], f16), T([906, 75, 1, 1], f16), [906], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([128, 151, 7, 7], f16), T([906, 151, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([128, 906, 7, 7], f16), T([906, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 906, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/regnety_002","((T([128, 92, 1, 1], f16), T([128, 368, 1, 1], f16), T([92, 368, 1, 1], f16), [92], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16), T([128, 80, 14, 14], f16), T([92, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16), T([128, 92, 14, 14], f16), T([92, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 92, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 95, 14, 14], f16), T([128, 504, 14, 14], f16), T([95, 504, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 96, 1, 1], f16), T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 96, 1, 1], f16), T([128, 4, 1, 1], f16), T([96, 4, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 96, 112, 112], f16), T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 112, 112], f16), T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 96, 112, 112], f16), T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 96, 112, 112], f16), T([128, 16, 112, 112], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 96, 14, 14], f16), T([128, 288, 14, 14], f16), T([96, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 14, 14], f16), T([128, 384, 14, 14], f16), T([96, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 96, 14, 14], f16), T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/spnasnet_100","((T([128, 96, 14, 14], f16), T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mnasnet_100","((T([128, 96, 14, 14], f16), T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 14, 14], f16), T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16), T([128, 32, 28, 28], f16), T([96, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16), T([128, 96, 28, 28], f16), T([96, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16), T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), T([128, 96, 96, 96], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 64, 112, 112], f16), T([96, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 64, 112, 112], f16), T([96, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/fbnetc_100","((T([128, 96, 56, 56], f16), T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 56, 56], f16), T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 96, 56, 56], f16), T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), T([128, 96, 113, 113], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16), T([96, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tinynet_a","((T([128, 96, 96, 96], f16), T([128, 16, 96, 96], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 960, 1, 1], f16), T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 960, 1, 1], f16), T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 960, 7, 7], f16), T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), T([128, 160, 7, 7], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/hardcorenas_a","((T([128, 960, 7, 7], f16), T([128, 192, 7, 7], f16), T([960, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/selecsls42b","((T([128, 960, 7, 7], f16), T([128, 480, 14, 14], f16), T([960, 480, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv2_100","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16), T([960, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 960, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16), T([960, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 960, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 972, 1, 1], f16), T([128, 81, 1, 1], f16), T([972, 81, 1, 1], f16), [972], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), T([128, 162, 7, 7], f16), T([972, 162, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), T([128, 972, 7, 7], f16), T([972, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 972, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([108, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([108, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([108, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([108, 108, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 83, 83], f16), T([108, 108, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 85, 85], f16), T([108, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 87, 87], f16), T([108, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 89, 89], f16), T([108, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 108, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16, stride=(381024, 1764, 42, 1)), T([16, 270, 42, 42], f16), T([108, 270, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 108, 83, 83], f16), T([16, 270, 83, 83], f16), T([108, 270, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 128, 28, 28], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 64, 56, 56], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 128, 64, 64], f16), T([16, 256, 32, 32], f16), T([256, 128, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], True, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 128, 64, 64], f16), T([16, 64, 128, 128], f16), T([128, 64, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 21, 21], f16, stride=(148176, 441, 21, 1)), T([16, 1008, 21, 21], f16), T([168, 1008, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 1008, 42, 42], f16), T([168, 1008, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([168, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([168, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([168, 168, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 336, 42, 42], f16), T([168, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 21, 21], f16, stride=(190512, 441, 21, 1)), T([16, 1080, 21, 21], f16), T([216, 1080, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 1080, 42, 42], f16), T([216, 1080, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([216, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 216, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([216, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 216, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([216, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 216, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([216, 216, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 540, 42, 42], f16), T([216, 540, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([16, 128, 28, 28], f16), T([256, 128, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([16, 128, 28, 28], f16), T([256, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([16, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 256, 32, 32], f16), T([16, 128, 64, 64], f16), T([256, 128, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 256, 32, 32], f16), T([16, 256, 32, 32], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 3, 128, 128], f16), T([16, 64, 128, 128], f16), T([3, 64, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 11, 11], f16, stride=(81312, 121, 11, 1)), T([16, 2016, 11, 11], f16), T([336, 2016, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 1344, 21, 21], f16), T([336, 1344, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 2016, 21, 21], f16), T([336, 2016, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([336, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([336, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([336, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([336, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 45, 45], f16), T([336, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 47, 47], f16), T([336, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 336, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 336, 42, 42], f16), T([16, 1008, 42, 42], f16), T([336, 1008, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 165, 165], f16), T([16, 96, 165, 165], f16), T([42, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 169, 169], f16), T([42, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 42, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([42, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 42, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([42, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 42, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([42, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 42, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([42, 42, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 96, 83, 83], f16), T([42, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16, stride=(578676, 6889, 83, 1)), T([16, 96, 83, 83], f16), T([42, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 11, 11], f16, stride=(104544, 121, 11, 1)), T([16, 2160, 11, 11], f16), T([432, 2160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 2160, 21, 21], f16), T([432, 2160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([432, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([432, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([432, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([432, 432, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 42, 42], f16), T([432, 432, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 43, 43], f16), T([432, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 45, 45], f16), T([432, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 47, 47], f16), T([432, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 432, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 432, 42, 42], f16), T([16, 1080, 42, 42], f16), T([432, 1080, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([16, 256, 14, 14], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([16, 256, 14, 14], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([16, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 165, 165], f16), T([16, 96, 165, 165], f16), T([54, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 165, 165], f16), T([54, 54, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 167, 167], f16), T([54, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 169, 169], f16), T([54, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 171, 171], f16), T([54, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([54, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([54, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([54, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 54, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([54, 54, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 96, 83, 83], f16), T([54, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16, stride=(744012, 6889, 83, 1)), T([16, 96, 83, 83], f16), T([54, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 64, 112, 112], f16), T([16, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 64, 128, 128], f16), T([16, 128, 64, 64], f16), T([128, 64, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], True, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/pytorch_stargan","((T([16, 64, 128, 128], f16), T([16, 8, 128, 128], f16), T([64, 8, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([16, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 2688, 11, 11], f16), T([672, 2688, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 4032, 11, 11], f16), T([672, 4032, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([672, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([672, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([672, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 25, 25], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 27, 27], f16), T([672, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 672, 21, 21], f16), T([16, 2016, 21, 21], f16), T([672, 2016, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([84, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 84, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([84, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 84, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([84, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 84, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([84, 84, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 87, 87], f16), T([84, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 84, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 89, 89], f16), T([84, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 84, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16, stride=(296352, 1764, 42, 1)), T([16, 168, 42, 42], f16), T([84, 168, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 84, 83, 83], f16), T([16, 168, 83, 83], f16), T([84, 168, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 4320, 11, 11], f16), T([864, 4320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([864, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([864, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([864, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([864, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 21, 21], f16), T([864, 864, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 23, 23], f16), T([864, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 25, 25], f16), T([864, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 27, 27], f16), T([864, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 864, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 864, 21, 21], f16), T([16, 2160, 21, 21], f16), T([864, 2160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 96, 165, 165], f16), T([16, 3, 331, 331], f16), T([96, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 96, 165, 165], f16), T([16, 3, 331, 331], f16), T([96, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 96, 83, 83], f16), T([16, 96, 167, 167], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 96, 83, 83], f16), T([16, 96, 169, 169], f16), T([96, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pnasnet5large","((T([16, 96, 83, 83], f16), T([16, 96, 169, 169], f16), T([96, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/nasnetalarge","((T([16, 96, 83, 83], f16), T([16, 96, 171, 171], f16), T([96, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cait_m36_384","((T([2, 768, 24, 24], f16, stride=(442368, 1, 18432, 768)), T([2, 3, 384, 384], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 1, 512, 512], f16), T([3, 64, 518, 518], f16), T([1, 64, 7, 7], f16), [1], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), T([3, 256, 256, 256], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), T([3, 64, 512, 512], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), T([3, 128, 256, 256], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), T([3, 256, 130, 130], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), T([3, 448, 128, 128], f16), T([256, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 3, 512, 512], f16, stride=(0, 0, 0, 0)), T([3, 64, 518, 518], f16), T([3, 64, 7, 7], f16), [3], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 64, 128, 128], f16), T([3, 512, 128, 128], f16), T([64, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([3, 128, 512, 512], f16), T([64, 128, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([3, 256, 512, 512], f16), T([64, 256, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([3, 3, 518, 518], f16), T([64, 3, 7, 7], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([3, 1, 518, 518], f16), T([64, 1, 7, 7], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/dcgan","((T([32, 1, 1, 1], f16), T([32, 512, 4, 4], f16), T([1, 512, 4, 4], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 10, 1, 1], f16), T([32, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1000, 1, 1], f16), T([32, 2688, 1, 1], f16), T([1000, 2688, 1, 1], f16), [1000], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 1000, 13, 13], f16), T([32, 512, 13, 13], f16), T([1000, 512, 1, 1], f16), [1000], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 1024, 1, 1], f16), T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 1024, 1, 1], f16), T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 1, 1], f16), T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 1, 1], f16), T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), [1024], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1024, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1024, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 1024, 19, 19], f16), T([1024, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1024, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([32, 2048, 14, 14], f16), T([1024, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 512, 16, 16], f16), T([1024, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 512, 16, 16], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1024, 19, 19], f16), T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), T([1024, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([32, 1024, 56, 56], f16), T([1024, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 56, 56], f16), T([32, 256, 56, 56], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), T([32, 1888, 7, 7], f16), T([1024, 1888, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 1024, 7, 7], f16), T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 1024, 7, 7], f16), T([32, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), T([32, 2144, 7, 7], f16), T([1024, 2144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 1024, 7, 7], f16), T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([1024, 512, 2, 2], f16), [1024], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([1024, 1, 7, 7], f16), [1024], [1, 1], [3, 3], [1, 1], False, [0, 0], 1024, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16), T([32, 512, 8, 8], f16), T([1024, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1088, 14, 14], f16), T([32, 800, 14, 14], f16), T([1088, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16), T([32, 448, 1, 1], f16), T([112, 448, 1, 1], f16), [112], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16), T([32, 896, 1, 1], f16), T([112, 896, 1, 1], f16), [112], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 112, 14, 14], f16), T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 112, 14, 14], f16), T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 112, 14, 14], f16), T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 112, 14, 14], f16), T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 1152, 1, 1], f16), T([32, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1152, 14, 14], f16), T([32, 1152, 28, 28], f16), T([1152, 1152, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([32, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16), T([32, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16), T([32, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 128, 1, 1], f16), T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 128, 1, 1], f16), T([32, 2048, 1, 1], f16), T([128, 2048, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 1, 1], f16), T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 128, 1, 1], f16), T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 1, 1], f16), T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 128, 1, 1], f16), T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 128, 112, 112], f16), T([32, 3, 224, 224], f16), T([128, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 128, 112, 112], f16), T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 128, 112, 112], f16), T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 128, 128], f16), T([32, 64, 128, 128], f16), T([128, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 150, 150], f16), T([32, 128, 150, 150], f16), T([128, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 150, 150], f16), T([32, 128, 150, 150], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 150, 150], f16), T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/dcgan","((T([32, 128, 16, 16], f16), T([32, 64, 32, 32], f16), T([128, 64, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 128, 27, 27], f16), T([32, 32, 27, 27], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 128, 27, 27], f16), T([32, 32, 27, 27], f16), T([128, 32, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([32, 512, 28, 28], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 128, 28, 28], f16), T([32, 64, 56, 56], f16), T([128, 64, 2, 2], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16), T([32, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16), T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 128, 56, 56], f16), T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16), T([32, 64, 56, 56], f16), T([128, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 7, 7], f16), [128], [1, 1], [3, 3], [1, 1], False, [0, 0], 128, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([32, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([32, 64, 64, 64], f16), T([128, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 128, 7, 7], f16, stride=(6272, 1, 896, 128)), T([32, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 128, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([32, 128, 150, 150], f16), T([128, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), T([128, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 1280, 7, 7], f16), T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 1280, 7, 7], f16), T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 1, 1], f16), T([32, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 28, 28], f16), T([32, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([32, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([32, 24, 56, 56], f16), T([144, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1536, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), T([1536, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1536, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), T([1536, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 16, 1, 1], f16), T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 16, 1, 1], f16), T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([32, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 16, 112, 112], f16), T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 16, 112, 112], f16), T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 16, 55, 55], f16), T([32, 128, 55, 55], f16), T([16, 128, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 16, 55, 55], f16), T([32, 64, 55, 55], f16), T([16, 64, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 160, 28, 28], f16), T([32, 256, 28, 28], f16), T([160, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 160, 7, 7], f16), T([32, 672, 7, 7], f16), T([160, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 160, 7, 7], f16), T([32, 960, 7, 7], f16), T([160, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1600, 14, 14], f16), T([32, 2432, 14, 14], f16), T([1600, 2432, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([32, 1600, 14, 14], f16), T([1600, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([32, 1600, 7, 7], f16), T([1600, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([32, 2432, 7, 7], f16), T([1600, 2432, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([32, 2560, 7, 7], f16), T([1600, 2560, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 168, 1, 1], f16), T([32, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 184, 14, 14], f16), T([32, 184, 14, 14], f16), T([184, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 184, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 184, 14, 14], f16), T([32, 80, 14, 14], f16), T([184, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 192, 13, 13], f16), T([32, 48, 13, 13], f16), T([192, 48, 1, 1], f16), [192], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 192, 13, 13], f16), T([32, 48, 13, 13], f16), T([192, 48, 3, 3], f16), [192], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16), T([32, 512, 14, 14], f16), T([192, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16), T([32, 768, 14, 14], f16), T([192, 768, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 192, 7, 7], f16), T([32, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 192, 7, 7], f16), T([32, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 192, 7, 7], f16), T([32, 576, 7, 7], f16), T([192, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 192, 7, 7], f16), T([32, 672, 7, 7], f16), T([192, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 20, 1, 1], f16), T([32, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 200, 14, 14], f16), T([32, 200, 14, 14], f16), T([200, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 200, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 200, 14, 14], f16), T([32, 80, 14, 14], f16), T([200, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 128, 56, 56], f16), T([200, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 200, 56, 56], f16), T([200, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 316, 56, 56], f16), T([200, 316, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 336, 56, 56], f16), T([200, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 356, 56, 56], f16), T([200, 356, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 2048, 1, 1], f16), T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 2048, 1, 1], f16), T([32, 128, 1, 1], f16), T([2048, 128, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 2048, 10, 10], f16), T([32, 1536, 10, 10], f16), T([2048, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([32, 2048, 14, 14], f16), T([2048, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([32, 2048, 28, 28], f16), T([2048, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 28, 28], f16), T([32, 512, 28, 28], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 14, 14], f16), T([2048, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([32, 1024, 7, 7], f16), T([2048, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16), T([32, 4096, 7, 7], f16), T([2048, 4096, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), T([32, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 2048, 7, 7], f16), T([32, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), T([32, 1024, 8, 8], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), T([32, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 2176, 7, 7], f16), T([32, 1600, 7, 7], f16), T([2176, 1600, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([32, 2240, 1, 1], f16), T([224, 2240, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([32, 56, 1, 1], f16), T([224, 56, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([32, 8, 1, 1], f16), T([224, 8, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16), T([32, 896, 1, 1], f16), T([224, 896, 1, 1], f16), [224], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 112, 112], f16), T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([32, 224, 112, 112], f16), T([224, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([32, 224, 56, 56], f16), T([224, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([32, 224, 56, 56], f16), T([224, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16), T([32, 1024, 7, 7], f16), T([224, 1024, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([224, 224, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16), T([32, 768, 7, 7], f16), T([224, 768, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 2240, 1, 1], f16), T([32, 224, 1, 1], f16), T([2240, 224, 1, 1], f16), [2240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 2240, 14, 14], f16), T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), T([32, 2240, 14, 14], f16), T([2240, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 20, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), T([32, 2240, 7, 7], f16), T([2240, 2240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 2304, 7, 7], f16), T([32, 2432, 14, 14], f16), T([2304, 2432, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 24, 1, 1], f16), T([32, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 24, 56, 56], f16), T([32, 144, 56, 56], f16), T([24, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 24, 56, 56], f16), T([32, 48, 56, 56], f16), T([24, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 24, 56, 56], f16), T([32, 64, 56, 56], f16), T([24, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 24, 56, 56], f16), T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 24, 56, 56], f16), T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 24, 56, 56], f16), T([32, 96, 56, 56], f16), T([24, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 1, 1], f16), T([32, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 240, 1, 1], f16), T([32, 960, 1, 1], f16), T([240, 960, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 240, 14, 14], f16), T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 256, 1, 1], f16), T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 256, 1, 1], f16), T([32, 16, 1, 1], f16), T([256, 16, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16), T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16), T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16), T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16), T([32, 64, 1, 1], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 256, 13, 13], f16), T([32, 64, 13, 13], f16), T([256, 64, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 256, 13, 13], f16), T([32, 64, 13, 13], f16), T([256, 64, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([32, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([32, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([32, 256, 28, 28], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16), T([32, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 2, 2], f16), [256], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([256, 1, 7, 7], f16), [256], [1, 1], [3, 3], [1, 1], False, [0, 0], 256, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([32, 128, 32, 32], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([32, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([32, 256, 38, 38], f16), T([256, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([32, 256, 38, 38], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 2, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 256, 56, 56], f16), T([32, 128, 56, 56], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([32, 512, 56, 56], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 256, 56, 56], f16), T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 256, 56, 56], f16), T([32, 768, 56, 56], f16), T([256, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([32, 128, 64, 64], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([32, 128, 64, 64], f16), T([256, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([32, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([32, 128, 75, 75], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([32, 256, 75, 75], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/dcgan","((T([32, 256, 8, 8], f16), T([32, 128, 16, 16], f16), T([256, 128, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 276, 56, 56], f16), T([32, 200, 56, 56], f16), T([276, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 28, 1, 1], f16), T([32, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 296, 56, 56], f16), T([32, 128, 56, 56], f16), T([296, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 32, 1, 1], f16), T([32, 120, 1, 1], f16), T([32, 120, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 32, 1, 1], f16), T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 32, 1, 1], f16), T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 32, 1, 1], f16), T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 32, 1, 1], f16), T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 32, 1, 1], f16), T([32, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16), T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 32, 150, 150], f16), T([32, 3, 299, 299], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 32, 27, 27], f16), T([32, 128, 27, 27], f16), T([32, 128, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 32, 27, 27], f16), T([32, 256, 27, 27], f16), T([32, 256, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 320, 14, 14], f16), T([32, 128, 28, 28], f16), T([320, 128, 2, 2], f16), [320], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 320, 14, 14], f16), T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 1, 3, 3], f16), [320], [1, 1], [1, 1], [1, 1], False, [0, 0], 320, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 320, 7, 7], f16), T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 320, 7, 7], f16), T([32, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 320, 7, 7], f16, stride=(15680, 1, 2240, 320)), T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 320, 2, 2], f16), [320], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 4, 1, 1], f16), T([32, 96, 1, 1], f16), T([4, 96, 1, 1], f16), [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 40, 28, 28], f16), T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 40, 28, 28], f16), T([32, 120, 28, 28], f16), T([40, 120, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 40, 28, 28], f16), T([32, 144, 28, 28], f16), T([40, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 40, 28, 28], f16), T([32, 240, 28, 28], f16), T([40, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 40, 28, 28], f16), T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 40, 28, 28], f16), T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 1024, 28, 28], f16), T([400, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 1088, 28, 28], f16), T([400, 1088, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 400, 28, 28], f16), T([400, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 400, 56, 56], f16), T([400, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 704, 28, 28], f16), T([400, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 768, 28, 28], f16), T([400, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 832, 28, 28], f16), T([400, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 896, 28, 28], f16), T([400, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 960, 28, 28], f16), T([400, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 400, 56, 56], f16), T([32, 376, 56, 56], f16), T([400, 376, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 14, 14], f16), T([32, 1024, 14, 14], f16), T([4096, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([32, 2048, 7, 7], f16), T([4096, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([32, 4096, 14, 14], f16), T([4096, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([32, 4096, 7, 7], f16), T([4096, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 1, 1], f16), T([32, 112, 1, 1], f16), T([448, 112, 1, 1], f16), [448], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 1, 1], f16), T([32, 56, 1, 1], f16), T([448, 56, 1, 1], f16), [448], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([32, 448, 28, 28], f16), T([448, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([32, 448, 28, 28], f16), T([448, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([32, 448, 56, 56], f16), T([448, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 448, 56, 56], f16), T([32, 224, 56, 56], f16), T([448, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 48, 1, 1], f16), T([32, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 48, 112, 112], f16), T([32, 16, 112, 112], f16), T([48, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 48, 13, 13], f16), T([32, 256, 13, 13], f16), T([48, 256, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 48, 13, 13], f16), T([32, 384, 13, 13], f16), T([48, 384, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 48, 56, 56], f16), T([32, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 480, 1, 1], f16), T([32, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 480, 1, 1], f16), T([32, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 1, 1], f16), T([32, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 512, 1, 1], f16), T([32, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 1, 1], f16), T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 1, 1], f16), T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), T([32, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([512, 1, 7, 7], f16), [512], [1, 1], [3, 3], [1, 1], False, [0, 0], 512, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([32, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([32, 256, 16, 16], f16), T([512, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([32, 1024, 28, 28], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 512, 28, 28], f16), T([32, 1056, 28, 28], f16), T([512, 1056, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([32, 128, 28, 28], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16), T([32, 128, 28, 28], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([32, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([32, 256, 32, 32], f16), T([512, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([32, 256, 32, 32], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/dcgan","((T([32, 512, 4, 4], f16), T([32, 256, 8, 8], f16), T([512, 256, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([32, 512, 56, 56], f16), T([512, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([32, 64, 56, 56], f16), T([512, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16), T([32, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16), T([32, 512, 14, 14], f16), T([512, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16), T([32, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([32, 320, 14, 14], f16), T([512, 320, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([512, 1, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 512, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 512, 8, 8], f16), T([32, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 56, 1, 1], f16), T([32, 224, 1, 1], f16), T([56, 224, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 56, 1, 1], f16), T([32, 448, 1, 1], f16), T([56, 448, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16), T([32, 576, 14, 14], f16), T([576, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16), T([32, 96, 14, 14], f16), T([576, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 576, 28, 28], f16), T([32, 400, 28, 28], f16), T([576, 400, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 576, 7, 7], f16), T([32, 576, 14, 14], f16), T([576, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 576, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 6, 1, 1], f16), T([32, 144, 1, 1], f16), T([6, 144, 1, 1], f16), [6], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 64, 1, 1], f16), T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 64, 1, 1], f16), T([32, 1024, 1, 1], f16), T([64, 1024, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 64, 1, 1], f16), T([32, 128, 1, 1], f16), T([64, 128, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 64, 1, 1], f16), T([32, 128, 1, 1], f16), T([64, 128, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 111, 111], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [64], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 64, 112, 112], f16), T([32, 16, 112, 112], f16), T([64, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 64, 112, 112], f16), T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 64, 112, 112], f16), T([32, 32, 112, 112], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16), T([32, 3, 256, 256], f16), T([64, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16), T([32, 64, 128, 128], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 13, 13], f16), T([32, 384, 13, 13], f16), T([64, 384, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 13, 13], f16), T([32, 512, 13, 13], f16), T([64, 512, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([32, 32, 150, 150], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([32, 64, 150, 150], f16), T([64, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/dcgan","((T([32, 64, 32, 32], f16), T([32, 3, 64, 64], f16), T([64, 3, 4, 4], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 55, 55], f16), T([32, 16, 55, 55], f16), T([64, 16, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 55, 55], f16), T([32, 16, 55, 55], f16), T([64, 16, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([32, 256, 56, 56], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 64, 56, 56], f16), T([32, 3, 224, 224], f16), T([64, 3, 4, 4], f16), [64], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 64, 56, 56], f16), T([32, 64, 112, 112], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([64, 1, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16), T([32, 128, 64, 64], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16), T([32, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/twins_pcpvt_base","((T([32, 64, 7, 7], f16, stride=(3136, 1, 448, 64)), T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([64, 64, 8, 8], f16), [64], [8, 8], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 640, 28, 28], f16), T([32, 376, 56, 56], f16), T([640, 376, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 1, 1], f16), T([32, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 1, 1], f16), T([32, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([32, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([32, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([32, 672, 14, 14], f16), T([672, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 7, 7], f16), T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 7, 7], f16), T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 1, 1], f16), T([32, 24, 1, 1], f16), T([72, 24, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 72, 28, 28], f16), T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 28, 28], f16), T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([32, 728, 19, 19], f16), T([728, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 728, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([32, 728, 19, 19], f16), T([728, 728, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 728, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 728, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([32, 728, 38, 38], f16), T([728, 728, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16), T([32, 1472, 14, 14], f16), T([768, 1472, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16), T([32, 1728, 14, 14], f16), T([768, 1728, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([32, 3, 224, 224], f16), T([768, 3, 7, 7], f16), [768], [7, 7], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([32, 768, 32, 32], f16), T([768, 1, 7, 7], f16), [768], [1, 1], [3, 3], [1, 1], False, [0, 0], 768, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([32, 768, 32, 32], f16), T([768, 768, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 8, 1, 1], f16), T([32, 224, 1, 1], f16), T([8, 224, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 8, 1, 1], f16), T([32, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([32, 184, 14, 14], f16), T([80, 184, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([32, 200, 14, 14], f16), T([80, 200, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 80, 14, 14], f16), T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 80, 14, 14], f16), T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 80, 14, 14], f16), T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 80, 14, 14], f16), T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1216, 14, 14], f16), T([800, 1216, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1280, 14, 14], f16), T([800, 1280, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1344, 14, 14], f16), T([800, 1344, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1408, 14, 14], f16), T([800, 1408, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1472, 14, 14], f16), T([800, 1472, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1536, 14, 14], f16), T([800, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1600, 14, 14], f16), T([800, 1600, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1664, 14, 14], f16), T([800, 1664, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1728, 14, 14], f16), T([800, 1728, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1792, 14, 14], f16), T([800, 1792, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1856, 14, 14], f16), T([800, 1856, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1920, 14, 14], f16), T([800, 1920, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 1984, 14, 14], f16), T([800, 1984, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2048, 14, 14], f16), T([800, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2112, 14, 14], f16), T([800, 2112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2176, 14, 14], f16), T([800, 2176, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2240, 14, 14], f16), T([800, 2240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2304, 14, 14], f16), T([800, 2304, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 2368, 14, 14], f16), T([800, 2368, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 800, 14, 14], f16), T([800, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 800, 28, 28], f16), T([800, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 50, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dpn107","((T([32, 800, 28, 28], f16), T([32, 1152, 28, 28], f16), T([800, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 1, 1], f16), T([32, 112, 1, 1], f16), T([896, 112, 1, 1], f16), [896], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 1, 1], f16), T([32, 224, 1, 1], f16), T([896, 224, 1, 1], f16), [896], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([32, 896, 14, 14], f16), T([896, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([32, 896, 14, 14], f16), T([896, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([32, 896, 28, 28], f16), T([896, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_regnet","((T([32, 896, 28, 28], f16), T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 96, 1, 1], f16), T([32, 4, 1, 1], f16), T([96, 4, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 96, 112, 112], f16), T([32, 16, 112, 112], f16), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 96, 14, 14], f16), T([32, 480, 14, 14], f16), T([96, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mnasnet1_0","((T([32, 96, 14, 14], f16), T([32, 576, 14, 14], f16), T([96, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_efficientnet","((T([32, 96, 56, 56], f16), T([32, 96, 112, 112], f16), T([96, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 96, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 960, 1, 1], f16), T([32, 240, 1, 1], f16), T([960, 240, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), T([32, 160, 7, 7], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), T([32, 960, 7, 7], f16), T([960, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 960, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16), T([4, 256, 74, 76], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16), T([4, 512, 148, 152], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 256, 14, 14], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 288, 14, 14], f16), T([128, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 320, 14, 14], f16), T([128, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 352, 14, 14], f16), T([128, 352, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 384, 14, 14], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 416, 14, 14], f16), T([128, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 448, 14, 14], f16), T([128, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 480, 14, 14], f16), T([128, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 512, 14, 14], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 544, 14, 14], f16), T([128, 544, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 576, 14, 14], f16), T([128, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 608, 14, 14], f16), T([128, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 640, 14, 14], f16), T([128, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 672, 14, 14], f16), T([128, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 704, 14, 14], f16), T([128, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 736, 14, 14], f16), T([128, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 768, 14, 14], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 800, 14, 14], f16), T([128, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 832, 14, 14], f16), T([128, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 864, 14, 14], f16), T([128, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 896, 14, 14], f16), T([128, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 928, 14, 14], f16), T([128, 928, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 960, 14, 14], f16), T([128, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 992, 14, 14], f16), T([128, 992, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16), T([4, 128, 148, 152], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16), T([4, 128, 296, 304], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16), T([4, 512, 148, 152], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 160, 28, 28], f16), T([128, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 192, 28, 28], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 224, 28, 28], f16), T([128, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 256, 28, 28], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 288, 28, 28], f16), T([128, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 320, 28, 28], f16), T([128, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 352, 28, 28], f16), T([128, 352, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 384, 28, 28], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 416, 28, 28], f16), T([128, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 448, 28, 28], f16), T([128, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 480, 28, 28], f16), T([128, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 128, 296, 304], f16), T([4, 256, 296, 304], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 160, 56, 56], f16), T([128, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 192, 56, 56], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 224, 56, 56], f16), T([128, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 96, 56, 56], f16), T([128, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 512, 7, 7], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 544, 7, 7], f16), T([128, 544, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 576, 7, 7], f16), T([128, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 608, 7, 7], f16), T([128, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 640, 7, 7], f16), T([128, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 672, 7, 7], f16), T([128, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 704, 7, 7], f16), T([128, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 736, 7, 7], f16), T([128, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 768, 7, 7], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 800, 7, 7], f16), T([128, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 832, 7, 7], f16), T([128, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 864, 7, 7], f16), T([128, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 896, 7, 7], f16), T([128, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 928, 7, 7], f16), T([128, 928, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 960, 7, 7], f16), T([128, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 992, 7, 7], f16), T([128, 992, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 2048, 37, 38], f16), T([4, 1024, 74, 76], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 2048, 37, 38], f16), T([4, 512, 37, 38], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([4, 256, 148, 152], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([4, 512, 148, 152], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), T([4, 512, 148, 152], f16), T([256, 512, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 256, 28, 28], f16), T([4, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([4, 256, 296, 304], f16), T([256, 256, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), T([4, 256, 296, 304], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), T([4, 2048, 37, 38], f16), T([256, 2048, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), T([4, 256, 37, 38], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([4, 256, 148, 152], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([4, 256, 74, 76], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), T([4, 256, 74, 76], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 14, 14], f16), T([4, 128, 14, 14], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 14, 14], f16, stride=(200704, 196, 14, 1)), T([4, 128, 14, 14], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 28, 28], f16), T([4, 128, 28, 28], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 28, 28], f16, stride=(401408, 784, 28, 1)), T([4, 128, 28, 28], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 56, 56], f16), T([4, 128, 56, 56], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([4, 128, 56, 56], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 7, 7], f16), T([4, 128, 7, 7], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 32, 7, 7], f16, stride=(50176, 49, 7, 1)), T([4, 128, 7, 7], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 512, 14, 14], f16), T([4, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([4, 128, 148, 152], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 148, 152], f16), T([4, 256, 296, 304], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 37, 38], f16), T([4, 2048, 37, 38], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 37, 38], f16), T([4, 512, 37, 38], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 37, 38], f16), T([4, 512, 74, 76], f16), T([512, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vision_maskrcnn","((T([4, 512, 74, 76], f16), T([4, 1024, 74, 76], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/densenet121","((T([4, 64, 112, 112], f16), T([4, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/maml_omniglot","((T([5, 64, 11, 11], f16, stride=(7744, 1, 704, 64)), T([5, 64, 13, 13], f16, stride=(10816, 1, 832, 64)), T([64, 64, 3, 3], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/maml_omniglot","((T([5, 64, 26, 26], f16, stride=(43264, 1, 1664, 64)), T([5, 1, 28, 28], f16), T([64, 1, 3, 3], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/maml_omniglot","((T([5, 64, 3, 3], f16, stride=(576, 1, 192, 64)), T([5, 64, 5, 5], f16, stride=(1600, 1, 320, 64)), T([64, 64, 3, 3], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), T([6, 128, 176, 176], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), T([6, 64, 176, 176], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([6, 128, 88, 88], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([6, 256, 88, 88], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([6, 64, 88, 88], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([6, 128, 44, 44], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([6, 256, 44, 44], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([6, 512, 44, 44], f16), T([256, 512, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), T([6, 128, 88, 88], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), T([6, 256, 88, 88], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([6, 20, 352, 352], f16), T([32, 20, 7, 7], f16), [32], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([6, 32, 352, 352], f16), T([32, 32, 7, 7], f16), [32], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([6, 6, 352, 352], f16), T([32, 6, 7, 7], f16), [32], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 32, 352, 352], f16), T([6, 64, 352, 352], f16), T([32, 64, 3, 3], f16), [32], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 4, 352, 352], f16), T([6, 32, 352, 352], f16), T([4, 32, 3, 3], f16), [4], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 5, 352, 352], f16), T([6, 32, 352, 352], f16), T([5, 32, 3, 3], f16), [5], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 11, 11], f16), T([6, 512, 11, 11], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), T([6, 1024, 22, 22], f16), T([512, 1024, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), T([6, 256, 22, 22], f16), T([512, 256, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), T([6, 512, 22, 22], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16), T([6, 256, 44, 44], f16), T([512, 256, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16), T([6, 512, 44, 44], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([6, 128, 176, 176], f16), T([64, 128, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([6, 32, 176, 176], f16), T([64, 32, 5, 5], f16), [64], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([6, 64, 176, 176], f16), T([64, 64, 5, 5], f16), [64], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), T([6, 3, 352, 352], f16), T([64, 3, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), T([6, 64, 352, 352], f16), T([64, 64, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, False, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1, 1024], f16), T([64, 1, 1024], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1, 2048], f16), T([64, 1, 2048], f16), T([1, 1, 7], f16), [0], [1], [3], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1, 256], f16), T([64, 1, 256], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1, 512], f16), T([64, 1, 512], f16), T([1, 1, 5], f16), [0], [1], [2], [1], False, [0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 1000, 1, 1], f16), T([64, 1024, 1, 1], f16), T([1000, 1024, 1, 1], f16), [1000], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([64, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([64, 416, 14, 14], f16), T([1024, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([64, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([64, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([64, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([64, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 1024, 7, 7], f16), T([64, 2560, 7, 7], f16), T([1024, 2560, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 1024, 7, 7], f16), T([64, 512, 7, 7], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 1024, 8, 8], f16), T([64, 1024, 8, 8], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 1024, 8, 8], f16), T([64, 512, 16, 16], f16), T([1024, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pit_b_224","((T([64, 1024, 8, 8], f16, stride=(66560, 1, 8192, 1024)), T([64, 512, 16, 16], f16, stride=(131584, 1, 8192, 512)), T([1024, 1, 3, 3], f16), [1024], [2, 2], [1, 1], [1, 1], False, [0, 0], 512, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([104, 104, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16, stride=(81536, 196, 14, 1)), T([104, 104, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16), T([64, 104, 28, 28], f16, stride=(326144, 784, 28, 1)), T([104, 104, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 104, 14, 14], f16), T([64, 336, 14, 14], f16), T([104, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 104, 14, 14], f16), T([64, 336, 14, 14], f16), T([104, 336, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 56, 56], f16), T([64, 256, 56, 56], f16), T([104, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 56, 56], f16), T([64, 64, 56, 56], f16), T([104, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 29, 29], f16), T([112, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 31, 31], f16), T([112, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 112, 14, 14], f16, stride=(65856, 196, 14, 1)), T([64, 112, 33, 33], f16), T([112, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 112, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 120, 56, 56], f16), T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 56, 56], f16), T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 1, 1], f16), T([64, 8, 1, 1], f16), T([128, 8, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 128, 112, 112], f16), T([64, 128, 112, 112], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 128, 112, 112], f16), T([64, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 128, 128], f16), T([64, 32, 128, 128], f16), T([128, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 128, 128], f16), T([64, 64, 128, 128], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 256, 14, 14], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 288, 14, 14], f16), T([128, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 320, 14, 14], f16), T([128, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 352, 14, 14], f16), T([128, 352, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 384, 14, 14], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 416, 14, 14], f16), T([128, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 448, 14, 14], f16), T([128, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 480, 14, 14], f16), T([128, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 512, 14, 14], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 544, 14, 14], f16), T([128, 544, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 576, 14, 14], f16), T([128, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 608, 14, 14], f16), T([128, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 640, 14, 14], f16), T([128, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 672, 14, 14], f16), T([128, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 704, 14, 14], f16), T([128, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 736, 14, 14], f16), T([128, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 768, 14, 14], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 800, 14, 14], f16), T([128, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 832, 14, 14], f16), T([128, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 864, 14, 14], f16), T([128, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 896, 14, 14], f16), T([128, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 928, 14, 14], f16), T([128, 928, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 960, 14, 14], f16), T([128, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 992, 14, 14], f16), T([128, 992, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([64, 128, 16, 16], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([64, 192, 16, 16], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([64, 256, 16, 16], f16), T([128, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([64, 384, 16, 16], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/crossvit_9_240","((T([64, 128, 20, 20], f16, stride=(51328, 1, 2560, 128)), T([64, 3, 240, 240], f16), T([128, 3, 12, 12], f16), [128], [12, 12], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 160, 28, 28], f16), T([128, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 192, 28, 28], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 224, 28, 28], f16), T([128, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 288, 28, 28], f16), T([128, 288, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 320, 28, 28], f16), T([128, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 352, 28, 28], f16), T([128, 352, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 384, 28, 28], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 416, 28, 28], f16), T([128, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 448, 28, 28], f16), T([128, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 480, 28, 28], f16), T([128, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([64, 512, 28, 28], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([64, 128, 64, 64], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([64, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 160, 56, 56], f16), T([128, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 192, 56, 56], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 224, 56, 56], f16), T([128, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 32, 56, 56], f16), T([128, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 96, 56, 56], f16), T([128, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/jx_nest_base","((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/swin_base_patch4_window7_224","((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 128, 64, 64], f16), T([64, 128, 128, 128], f16), T([128, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 64, 64], f16), T([64, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 128, 64, 64], f16), T([64, 64, 128, 128], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 512, 7, 7], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 544, 7, 7], f16), T([128, 544, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 576, 7, 7], f16), T([128, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 608, 7, 7], f16), T([128, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 640, 7, 7], f16), T([128, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 672, 7, 7], f16), T([128, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 704, 7, 7], f16), T([128, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 736, 7, 7], f16), T([128, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 768, 7, 7], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 800, 7, 7], f16), T([128, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 832, 7, 7], f16), T([128, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 864, 7, 7], f16), T([128, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 896, 7, 7], f16), T([128, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 928, 7, 7], f16), T([128, 928, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 960, 7, 7], f16), T([128, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 992, 7, 7], f16), T([128, 992, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1280, 8, 8], f16), T([64, 1536, 8, 8], f16), T([1280, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 132, 1, 1], f16), T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), [132], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 132, 1, 1], f16), T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), [132], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 132, 7, 7], f16, stride=(12936, 49, 7, 1)), T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 132, 7, 7], f16, stride=(12936, 49, 7, 1)), T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 14, 1, 1], f16), T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 14, 1, 1], f16), T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 144, 32, 32], f16), T([64, 96, 32, 32], f16), T([144, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 1536, 14, 14], f16), T([64, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1536, 16, 16], f16), T([64, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 1536, 7, 7], f16), T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 1536, 7, 7], f16), T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1536, 8, 8], f16), T([64, 1024, 16, 16], f16), T([1536, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 1536, 8, 8], f16), T([64, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 156, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 1584, 1, 1], f16), T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), [1584], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 1584, 1, 1], f16), T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), [1584], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 1584, 7, 7], f16), T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 1584, 7, 7], f16), T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 16, 1, 1], f16), T([64, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 16, 128, 128], f16), T([64, 3, 256, 256], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 16, 224, 224], f16), T([64, 16, 224, 224], f16), T([16, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 16, 224, 224], f16), T([64, 3, 224, 224], f16), T([16, 3, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 160, 14, 14], f16), T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 160, 14, 14], f16), T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([64, 160, 8, 8], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([64, 240, 8, 8], f16), T([160, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([64, 320, 8, 8], f16), T([160, 320, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([64, 512, 8, 8], f16), T([160, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 168, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 192, 16, 16], f16), T([64, 128, 16, 16], f16), T([192, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/volo_d1_224","((T([64, 192, 28, 28], f16), T([64, 64, 112, 112], f16), T([192, 64, 4, 4], f16), [192], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([64, 768, 28, 28], f16), T([192, 768, 1, 1], f16), [192], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([64, 96, 56, 56], f16), T([192, 96, 3, 3], f16), [192], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 20, 1, 1], f16), T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 20, 1, 1], f16), T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16), T([64, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), T([64, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), T([64, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16), T([64, 832, 7, 7], f16), T([2048, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 28, 28], f16), T([64, 512, 28, 28], f16), T([208, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 56, 56], f16), T([64, 256, 56, 56], f16), T([208, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16), T([64, 208, 14, 14], f16, stride=(163072, 196, 14, 1)), T([208, 208, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([208, 208, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16, stride=(40768, 49, 7, 1)), T([208, 208, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 24, 128, 128], f16), T([64, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tnt_s_patch16_224","((T([64, 24, 56, 56], f16), T([64, 3, 224, 224], f16), T([24, 3, 7, 7], f16), [24], [4, 4], [3, 3], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 1, 1], f16), T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 1, 1], f16), T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([240, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([240, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 56, 56], f16), T([64, 40, 56, 56], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 56, 56], f16), T([64, 40, 56, 56], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 9, 9], f16), [0], [2, 2], [4, 4], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 15, 15], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 17, 17], f16), T([240, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 19, 19], f16), T([240, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 7, 7], f16, stride=(47040, 49, 7, 1)), T([64, 240, 21, 21], f16), T([240, 1, 9, 9], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 240, 8, 8], f16), T([64, 160, 8, 8], f16), T([240, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 1, 1], f16), T([64, 16, 1, 1], f16), T([256, 16, 1, 1], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([64, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([64, 512, 14, 14], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/gmlp_s16_224","((T([64, 256, 14, 14], f16, stride=(50176, 1, 3584, 256)), T([64, 3, 224, 224], f16), T([256, 3, 16, 16], f16), [256], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/crossvit_9_240","((T([64, 256, 14, 14], f16, stride=(50432, 1, 3584, 256)), T([64, 3, 224, 224], f16), T([256, 3, 16, 16], f16), [256], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([64, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16, stride=(131072, 256, 16, 1)), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([64, 256, 32, 32], f16), T([256, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 1152, 28, 28], f16), T([256, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 128, 28, 28], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 256, 28, 28], f16), T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 256, 28, 28], f16), T([64, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 768, 28, 28], f16), T([256, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pit_b_224","((T([64, 256, 31, 31], f16, stride=(246272, 1, 7936, 256)), T([64, 3, 224, 224], f16), T([256, 3, 14, 14], f16), [256], [7, 7], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 256, 32, 32], f16), T([64, 128, 64, 64], f16), T([256, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 256, 32, 32], f16), T([64, 256, 32, 32], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 256, 32, 32], f16), T([64, 256, 64, 64], f16), T([256, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 32, 32], f16), T([64, 512, 32, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([64, 104, 56, 56], f16), T([256, 104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 256, 56, 56], f16), T([64, 128, 56, 56], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), T([64, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([64, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/jx_nest_base","((T([64, 256, 56, 56], f16, stride=(802816, 1, 14336, 256)), T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([64, 256, 64, 64], f16), T([256, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 256, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([64, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 64, 64], f16), T([64, 64, 64, 64], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 26, 1, 1], f16), T([64, 624, 1, 1], f16), T([26, 624, 1, 1], f16), [26], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 26, 1, 1], f16), T([64, 624, 1, 1], f16), T([26, 624, 1, 1], f16), [26], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([26, 26, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16, stride=(326144, 3136, 56, 1)), T([26, 26, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 264, 7, 7], f16), T([64, 960, 7, 7], f16), T([264, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 264, 7, 7], f16), T([64, 960, 7, 7], f16), T([264, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 28, 1, 1], f16), T([64, 336, 1, 1], f16), T([28, 336, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 28, 1, 1], f16), T([64, 336, 1, 1], f16), T([28, 336, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 3072, 7, 7], f16), T([64, 768, 7, 7], f16), T([3072, 768, 1, 1], f16), [3072], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([312, 52, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([312, 52, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 32, 112, 112], f16), T([64, 16, 224, 224], f16), T([32, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 32, 112, 112], f16), T([64, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([64, 3, 224, 224], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([64, 3, 225, 225], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 32, 128, 128], f16), T([64, 24, 128, 128], f16), T([32, 24, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 32, 128, 128], f16), T([64, 64, 128, 128], f16), T([32, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 32, 128, 128], f16), T([64, 64, 128, 128], f16, stride=(2097152, 16384, 128, 1)), T([32, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 14, 14], f16), T([64, 128, 14, 14], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 14, 14], f16, stride=(200704, 196, 14, 1)), T([64, 128, 14, 14], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 32, 256, 256], f16), T([64, 3, 256, 256], f16), T([32, 3, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 28, 28], f16), T([64, 128, 28, 28], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 28, 28], f16, stride=(401408, 784, 28, 1)), T([64, 128, 28, 28], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 56, 56], f16), T([64, 128, 56, 56], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([64, 128, 56, 56], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 7, 7], f16), T([64, 128, 7, 7], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 32, 7, 7], f16, stride=(50176, 49, 7, 1)), T([64, 128, 7, 7], f16), T([32, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 336, 1, 1], f16), T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), [336], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 336, 1, 1], f16), T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), [336], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 336, 1, 1], f16), T([64, 28, 1, 1], f16), T([336, 28, 1, 1], f16), [336], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 336, 1, 1], f16), T([64, 28, 1, 1], f16), T([336, 28, 1, 1], f16), [336], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 336, 28, 28], f16), T([64, 56, 28, 28], f16), T([336, 56, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 336, 28, 28], f16), T([64, 56, 28, 28], f16), T([336, 56, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([64, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([64, 192, 28, 28], f16), T([384, 192, 3, 3], f16), [384], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/volo_d1_224","((T([64, 384, 14, 14], f16, stride=(75264, 1, 5376, 384)), T([64, 192, 28, 28], f16), T([384, 192, 2, 2], f16), [384], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/gmixer_24_224","((T([64, 384, 14, 14], f16, stride=(75264, 1, 5376, 384)), T([64, 3, 224, 224], f16), T([384, 3, 16, 16], f16), [384], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 384, 16, 16], f16), T([64, 384, 32, 32], f16), T([384, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 384, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 384, 32, 32], f16), T([64, 128, 32, 32], f16), T([384, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 384, 32, 32], f16), T([64, 96, 32, 32], f16), T([384, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 384, 56, 56], f16), T([64, 96, 56, 56], f16), T([384, 96, 1, 1], f16), [384], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([64, 396, 7, 7], f16, stride=(77616, 49, 7, 1)), T([396, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 396, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 416, 14, 14], f16), T([64, 1024, 14, 14], f16), T([416, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 416, 28, 28], f16), T([64, 512, 28, 28], f16), T([416, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 480, 1, 1], f16), T([64, 80, 1, 1], f16), T([480, 80, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 480, 1, 1], f16), T([64, 80, 1, 1], f16), T([480, 80, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 512, 14, 14], f16), T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 14, 14], f16), T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 1536, 14, 14], f16), T([512, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 2048, 14, 14], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 256, 14, 14], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 2816, 14, 14], f16), T([512, 2816, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 512, 14, 14], f16), T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 512, 16, 16], f16), T([64, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 512, 16, 16], f16), T([64, 128, 16, 16], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 512, 16, 16], f16), T([64, 256, 32, 32], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 512, 16, 16], f16), T([64, 512, 16, 16], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/pit_b_224","((T([64, 512, 16, 16], f16, stride=(131584, 1, 8192, 512)), T([64, 256, 31, 31], f16, stride=(246272, 1, 7936, 256)), T([512, 1, 3, 3], f16), [512], [2, 2], [1, 1], [1, 1], False, [0, 0], 256, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), T([64, 128, 28, 28], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16), T([64, 208, 28, 28], f16), T([512, 208, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), T([64, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 512, 28, 28], f16), T([64, 256, 28, 28], f16), T([512, 256, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16), T([64, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 512, 28, 28], f16), T([64, 512, 28, 28], f16), T([512, 512, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/jx_nest_base","((T([64, 512, 28, 28], f16, stride=(401408, 1, 14336, 512)), T([64, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 512, 32, 32], f16), T([64, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 512, 32, 32], f16), T([64, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([64, 1024, 7, 7], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 7, 7], f16), T([64, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 7, 7], f16), T([64, 512, 14, 14], f16), T([512, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([64, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 512, 7, 7], f16), T([64, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 512, 8, 8], f16), T([64, 1536, 8, 8], f16), T([512, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 512, 8, 8], f16), T([64, 512, 16, 16], f16), T([512, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 512, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16, stride=(65536, 64, 8, 1)), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 52, 1, 1], f16), T([64, 624, 1, 1], f16), T([52, 624, 1, 1], f16), [52], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 52, 1, 1], f16), T([64, 624, 1, 1], f16), T([52, 624, 1, 1], f16), [52], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([52, 312, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 52, 14, 14], f16, stride=(20384, 196, 14, 1)), T([64, 312, 14, 14], f16, stride=(122304, 196, 14, 1)), T([52, 312, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16), T([52, 52, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 52, 28, 28], f16), T([64, 52, 28, 28], f16, stride=(163072, 784, 28, 1)), T([52, 52, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 52, 28, 28], f16), T([64, 52, 56, 56], f16, stride=(652288, 3136, 56, 1)), T([52, 52, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 56, 28, 28], f16), T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 56, 28, 28], f16), T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 56, 56], f16, stride=(752640, 3136, 56, 1)), T([60, 1, 9, 9], f16), [0], [2, 2], [4, 4], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 57, 57], f16), T([60, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 59, 59], f16), T([60, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 61, 61], f16), T([60, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 60, 28, 28], f16, stride=(188160, 784, 28, 1)), T([64, 60, 63, 63], f16), T([60, 1, 9, 9], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 60, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 624, 1, 1], f16), T([64, 26, 1, 1], f16), T([624, 26, 1, 1], f16), [624], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 624, 1, 1], f16), T([64, 26, 1, 1], f16), T([624, 26, 1, 1], f16), [624], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 624, 1, 1], f16), T([64, 52, 1, 1], f16), T([624, 52, 1, 1], f16), [624], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 624, 1, 1], f16), T([64, 52, 1, 1], f16), T([624, 52, 1, 1], f16), [624], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 624, 14, 14], f16), T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 624, 14, 14], f16), T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 624, 14, 14], f16), T([64, 624, 14, 14], f16), T([624, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 624, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 624, 14, 14], f16), T([64, 624, 14, 14], f16), T([624, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 624, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 64, 1, 1], f16), T([64, 8, 1, 1], f16), T([64, 8, 1, 1], f16), [64], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/densenet121","((T([64, 64, 112, 112], f16), T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 64, 112, 112], f16), T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/volo_d1_224","((T([64, 64, 112, 112], f16), T([64, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 64, 112, 112], f16), T([64, 32, 112, 112], f16), T([64, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 64, 112, 112], f16), T([64, 32, 112, 112], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/volo_d1_224","((T([64, 64, 112, 112], f16), T([64, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([64, 128, 128, 128], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 64, 128, 128], f16), T([64, 16, 128, 128], f16), T([64, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([64, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([64, 32, 256, 256], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 64, 128, 128], f16), T([64, 64, 128, 128], f16), T([64, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 128, 128], f16), T([64, 64, 128, 128], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 64, 224, 224], f16), T([64, 3, 224, 224], f16), T([64, 3, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/vgg16","((T([64, 64, 224, 224], f16), T([64, 64, 224, 224], f16), T([64, 64, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 64, 56, 56], f16), T([64, 128, 56, 56], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([64, 256, 56, 56], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 64, 56, 56], f16), T([64, 64, 112, 112], f16), T([64, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([64, 64, 56, 56], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/dla102","((T([64, 64, 56, 56], f16), T([64, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([64, 64, 56, 56], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 1, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 113, 113], f16), T([64, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 115, 115], f16), T([64, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([64, 64, 117, 117], f16), T([64, 1, 7, 7], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 64, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 64, 64, 64], f16), T([64, 128, 64, 64], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 64, 64, 64], f16), T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([64, 256, 64, 64], f16), T([64, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([64, 32, 128, 128], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/cspdarknet53","((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16, stride=(524288, 4096, 64, 1)), T([64, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 640, 8, 8], f16), T([64, 160, 8, 8], f16), T([640, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixer_b16_224","((T([64, 768, 14, 14], f16, stride=(150528, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/beit_base_patch16_224","((T([64, 768, 14, 14], f16, stride=(151296, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/vit_base_patch16_224","((T([64, 768, 14, 14], f16, stride=(151296, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/deit_base_distilled_patch16_224","((T([64, 768, 14, 14], f16, stride=(152064, 1, 10752, 768)), T([64, 3, 224, 224], f16), T([768, 3, 16, 16], f16), [768], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 768, 16, 16], f16), T([64, 256, 16, 16], f16), T([768, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 768, 28, 28], f16), T([64, 192, 28, 28], f16), T([768, 192, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), T([64, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), T([64, 384, 14, 14], f16), T([768, 384, 3, 3], f16), [768], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 8, 1, 1], f16), T([64, 128, 1, 1], f16), T([8, 128, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/sebotnet33ts_256","((T([64, 8, 1, 1], f16), T([64, 64, 1, 1], f16), T([8, 64, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 80, 1, 1], f16), T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 80, 1, 1], f16), T([64, 480, 1, 1], f16), T([80, 480, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 80, 1, 1], f16), T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 80, 1, 1], f16), T([64, 960, 1, 1], f16), T([80, 960, 1, 1], f16), [80], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 80, 14, 14], f16, stride=(31360, 196, 14, 1)), T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 832, 14, 14], f16), T([64, 1024, 14, 14], f16), T([832, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/res2net101_26w_4s","((T([64, 832, 7, 7], f16), T([64, 2048, 7, 7], f16), T([832, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 96, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 96, 112, 112], f16, stride=(2408448, 12544, 112, 1)), T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([64, 144, 32, 32], f16), T([96, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([64, 192, 32, 32], f16), T([96, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([64, 256, 32, 32], f16), T([96, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/mobilevit_s","((T([64, 96, 32, 32], f16), T([64, 96, 32, 32], f16), T([96, 96, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([64, 3, 224, 224], f16), T([96, 3, 7, 7], f16), [96], [4, 4], [2, 2], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([64, 384, 56, 56], f16), T([96, 384, 1, 1], f16), [96], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 960, 1, 1], f16), T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 960, 1, 1], f16), T([64, 80, 1, 1], f16), T([960, 80, 1, 1], f16), [960], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TIMM/mixnet_l","((T([64, 960, 14, 14], f16), T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TIMM/tf_mixnet_l","((T([64, 960, 14, 14], f16), T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([8, 512, 12, 16], f16), T([1024, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([8, 512, 24, 32], f16), T([1024, 512, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([8, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([8, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([8, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([8, 1024, 14, 14], f16), T([1024, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([8, 1024, 7, 7], f16), T([1024, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([8, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 128, 24, 32], f16), T([8, 256, 24, 32], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 128, 48, 64], f16), T([8, 256, 48, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 128, 48, 64], f16), T([8, 384, 48, 64], f16), T([128, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([8, 128, 56, 56], f16), T([128, 4, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([8, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([8, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([8, 64, 192, 256], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([8, 64, 96, 128], f16), T([128, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([8, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([8, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 255, 12, 16], f16), T([8, 1024, 12, 16], f16), T([255, 1024, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 255, 24, 32], f16), T([8, 512, 24, 32], f16), T([255, 512, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 255, 48, 64], f16), T([8, 256, 48, 64], f16), T([255, 256, 1, 1], f16), [255], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 256, 12, 16], f16), T([8, 512, 12, 16], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([8, 512, 24, 32], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([8, 768, 24, 32], f16), T([256, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([8, 256, 28, 28], f16), T([256, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([8, 256, 56, 56], f16), T([256, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([8, 512, 28, 28], f16), T([256, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([8, 128, 48, 64], f16), T([256, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([8, 128, 96, 128], f16), T([256, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([8, 128, 56, 56], f16), T([256, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([8, 256, 56, 56], f16), T([256, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([8, 64, 56, 56], f16), T([256, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 32, 192, 256], f16), T([8, 64, 192, 256], f16), T([32, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 32, 384, 512], f16), T([8, 3, 384, 512], f16), T([32, 3, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/timm_vision_transformer","((T([8, 384, 14, 14], f16, stride=(75648, 1, 5376, 384)), T([8, 3, 224, 224], f16), T([384, 3, 16, 16], f16), [384], [16, 16], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([8, 1024, 12, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([8, 2048, 12, 16], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([8, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([8, 512, 14, 14], f16), T([512, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([8, 512, 28, 28], f16), T([512, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([8, 256, 24, 32], f16), T([512, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([8, 256, 48, 64], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([8, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([8, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([8, 512, 28, 28], f16), T([512, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/resnext50_32x4d","((T([8, 64, 112, 112], f16), T([8, 3, 224, 224], f16), T([64, 3, 7, 7], f16), [0], [2, 2], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([8, 32, 192, 256], f16), T([64, 32, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([8, 32, 384, 512], f16), T([64, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/yolov3","((T([8, 64, 96, 128], f16), T([8, 128, 96, 128], f16), T([64, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([96, 128, 16, 16], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([96, 64, 32, 32], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([96, 64, 32, 32], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
["aten.convolution_backward.default","TorchBench/mobilenet_v2","((T([96, 1280, 7, 7], f16), T([96, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})"]
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["aten.masked_fill_.Scalar","HuggingFace/BlenderbotSmallForCausalLM","((T([128, 128], f32), T([128, 128], b8), 0), {})"]
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["aten.max_pool2d_with_indices.default","TorchBench/resnet18","((T([16, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/nasnetalarge","((T([16, 672, 23, 23], f16), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/nasnetalarge","((T([16, 84, 85, 85], f16), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), [3, 3], [1, 1], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/pnasnet5large","((T([16, 864, 23, 23], f16), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/pnasnet5large","((T([16, 96, 167, 167], f16), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/legacy_senet154","((T([32, 128, 112, 112], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TIMM/dpn107","((T([32, 128, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/gluon_senet154","((T([32, 128, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/resnest101e","((T([32, 128, 128, 128], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/squeezenet1_1","((T([32, 128, 55, 55], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/squeezenet1_1","((T([32, 256, 27, 27], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/timm_vovnet","((T([32, 256, 56, 56], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/timm_vovnet","((T([32, 512, 28, 28], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/squeezenet1_1","((T([32, 64, 111, 111], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/resnet50","((T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/timm_resnest","((T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16), [3, 3], [2, 2], [0, 0], [1, 1], True), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), [1, 1], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/densenet121","((T([4, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vision_maskrcnn","((T([4, 64, 592, 608], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/maml_omniglot","((T([5, 64, 11, 11], f16, stride=(7744, 1, 704, 64)), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/maml_omniglot","((T([5, 64, 26, 26], f16, stride=(43264, 1, 1664, 64)), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/maml_omniglot","((T([5, 64, 3, 3], f16, stride=(576, 1, 192, 64)), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vgg16","((T([64, 128, 112, 112], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/dla102","((T([64, 128, 56, 56], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/dla102","((T([64, 256, 28, 28], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vgg16","((T([64, 256, 56, 56], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/jx_nest_base","((T([64, 256, 57, 57], f16, stride=(831744, 1, 14592, 256)), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/dla102","((T([64, 32, 112, 112], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/dla102","((T([64, 512, 14, 14], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vgg16","((T([64, 512, 14, 14], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vgg16","((T([64, 512, 28, 28], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/jx_nest_base","((T([64, 512, 29, 29], f16, stride=(430592, 1, 14848, 512)), [3, 3], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/densenet121","((T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/ecaresnet101d","((T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TIMM/res2net101_26w_4s","((T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/vgg16","((T([64, 64, 224, 224], f16), [2, 2], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), [13, 13], [1, 1], [6, 6]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), [5, 5], [1, 1], [2, 2]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), [9, 9], [1, 1], [4, 4]), {})"]
["aten.max_pool2d_with_indices.default","TorchBench/resnext50_32x4d","((T([8, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1]), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/pytorch_unet","((T([1, 128, 160, 239], f16), T([1, 128, 320, 479], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([1, 128, 160, 239], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/pytorch_unet","((T([1, 256, 80, 119], f16), T([1, 256, 160, 239], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([1, 256, 80, 119], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/pytorch_unet","((T([1, 512, 40, 59], f16), T([1, 512, 80, 119], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([1, 512, 40, 59], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/pytorch_unet","((T([1, 64, 320, 479], f16), T([1, 64, 640, 959], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([1, 64, 320, 479], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), T([1, 88, 21, 21], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([1, 88, 10, 10], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([1, 88, 41, 41], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([1, 88, 20, 20], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([1, 88, 81, 81], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([1, 88, 40, 40], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([1, 88, 11, 11], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([1, 88, 5, 5], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/alexnet","((T([128, 192, 13, 13], f16), T([128, 192, 27, 27], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 192, 13, 13], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/adv_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 71, 71], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 192, 35, 35], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 71, 71], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 192, 35, 35], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/inception_v3","((T([128, 192, 35, 35], f16), T([128, 192, 71, 71], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 192, 35, 35], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 56, 56], f16), T([128, 24, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 24, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 28, 28], f16), T([128, 256, 56, 56], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([128, 256, 28, 28], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/alexnet","((T([128, 256, 6, 6], f16), T([128, 256, 13, 13], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 256, 6, 6], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/adv_inception_v3","((T([128, 288, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 288, 35, 35], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 288, 17, 17], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/gluon_inception_v3","((T([128, 288, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 288, 35, 35], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 288, 17, 17], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/inception_v3","((T([128, 288, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 288, 35, 35], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 288, 17, 17], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 14, 14], f16), T([128, 512, 28, 28], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([128, 512, 14, 14], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/alexnet","((T([128, 64, 27, 27], f16), T([128, 64, 55, 55], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 64, 27, 27], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/res2net50_14w_8s","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/res2next50","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([128, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 64, 64], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 64, 64], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 128, 128], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([128, 64, 64, 64], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/adv_inception_v3","((T([128, 64, 73, 73], f16), T([128, 64, 147, 147], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 64, 73, 73], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 73, 73], f16), T([128, 64, 147, 147], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 64, 73, 73], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/inception_v3","((T([128, 64, 73, 73], f16), T([128, 64, 147, 147], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 64, 73, 73], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 7, 7], f16), T([128, 768, 14, 14], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([128, 768, 7, 7], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/adv_inception_v3","((T([128, 768, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 768, 17, 17], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 768, 8, 8], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/gluon_inception_v3","((T([128, 768, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 768, 17, 17], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 768, 8, 8], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/inception_v3","((T([128, 768, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 768, 17, 17], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([128, 768, 8, 8], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16, stride=(952560, 1764, 42, 1)), T([16, 108, 85, 85], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 108, 42, 42], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16, stride=(1905120, 1764, 42, 1)), T([16, 216, 42, 42], f16), [3, 3], [1, 1], [1, 1], [1, 1], False, T([16, 216, 42, 42], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 43, 43], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 336, 21, 21], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1)), T([16, 336, 43, 43], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 336, 21, 21], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 167, 167], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 42, 83, 83], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1)), T([16, 42, 167, 167], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 42, 83, 83], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16, stride=(952560, 441, 21, 1)), T([16, 432, 21, 21], f16), [3, 3], [1, 1], [1, 1], [1, 1], False, T([16, 432, 21, 21], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16, stride=(952560, 441, 21, 1)), T([16, 432, 43, 43], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 432, 21, 21], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16, stride=(1860030, 6889, 83, 1)), T([16, 54, 167, 167], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 54, 83, 83], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([16, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([16, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 23, 23], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 672, 11, 11], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1)), T([16, 672, 23, 23], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 672, 11, 11], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 85, 85], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 84, 42, 42], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1)), T([16, 84, 85, 85], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 84, 42, 42], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16, stride=(522720, 121, 11, 1)), T([16, 864, 11, 11], f16), [3, 3], [1, 1], [1, 1], [1, 1], False, T([16, 864, 11, 11], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16, stride=(522720, 121, 11, 1)), T([16, 864, 23, 23], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 864, 11, 11], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/pnasnet5large","((T([16, 96, 83, 83], f16), T([16, 96, 167, 167], f16), [3, 3], [2, 2], [0, 0], [1, 1], False, T([16, 96, 83, 83], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/squeezenet1_1","((T([32, 128, 27, 27], f16), T([32, 128, 55, 55], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 128, 27, 27], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 112, 112], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 128, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dpn107","((T([32, 128, 56, 56], f16), T([32, 128, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 128, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 128, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([32, 128, 128, 128], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 128, 64, 64], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/squeezenet1_1","((T([32, 256, 13, 13], f16), T([32, 256, 27, 27], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 256, 13, 13], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_vovnet","((T([32, 256, 28, 28], f16), T([32, 256, 56, 56], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 256, 28, 28], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_vovnet","((T([32, 512, 14, 14], f16), T([32, 512, 28, 28], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 512, 14, 14], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/squeezenet1_1","((T([32, 64, 55, 55], f16), T([32, 64, 111, 111], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 64, 55, 55], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 56, 56], f16), T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([32, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([32, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/timm_vovnet","((T([32, 768, 7, 7], f16), T([32, 768, 14, 14], f16), [3, 3], [2, 2], [0, 0], [1, 1], True, T([32, 768, 7, 7], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/densenet121","((T([4, 64, 56, 56], f16), T([4, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([4, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/maml_omniglot","((T([5, 64, 1, 1], f16), T([5, 64, 3, 3], f16, stride=(576, 1, 192, 64)), [2, 2], [2, 2], [0, 0], [1, 1], False, T([5, 64, 1, 1], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/maml_omniglot","((T([5, 64, 13, 13], f16, stride=(10816, 1, 832, 64)), T([5, 64, 26, 26], f16, stride=(43264, 1, 1664, 64)), [2, 2], [2, 2], [0, 0], [1, 1], False, T([5, 64, 13, 13], i64, stride=(10816, 1, 832, 64))), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/maml_omniglot","((T([5, 64, 5, 5], f16, stride=(1600, 1, 320, 64)), T([5, 64, 11, 11], f16, stride=(7744, 1, 704, 64)), [2, 2], [2, 2], [0, 0], [1, 1], False, T([5, 64, 5, 5], i64, stride=(1600, 1, 320, 64))), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), T([6, 128, 176, 176], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([6, 128, 88, 88], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), T([6, 256, 88, 88], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([6, 256, 44, 44], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), T([6, 64, 352, 352], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([6, 64, 176, 176], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([64, 128, 56, 56], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 128, 28, 28], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16, stride=(903168, 784, 28, 1)), T([64, 128, 56, 56], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 128, 28, 28], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/vgg16","((T([64, 128, 56, 56], f16), T([64, 128, 112, 112], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 128, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([64, 256, 28, 28], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 256, 14, 14], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16, stride=(551936, 196, 14, 1)), T([64, 256, 28, 28], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 256, 14, 14], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/vgg16","((T([64, 256, 28, 28], f16), T([64, 256, 56, 56], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 256, 28, 28], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/jx_nest_base","((T([64, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([64, 256, 57, 57], f16, stride=(831744, 1, 14592, 256)), [3, 3], [2, 2], [0, 0], [1, 1], False, T([64, 256, 28, 28], i64, stride=(200704, 1, 7168, 256))), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 32, 56, 56], f16), T([64, 32, 112, 112], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 32, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/vgg16","((T([64, 512, 14, 14], f16), T([64, 512, 28, 28], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 512, 14, 14], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/jx_nest_base","((T([64, 512, 14, 14], f16), T([64, 512, 29, 29], f16, stride=(430592, 1, 14848, 512)), [3, 3], [2, 2], [0, 0], [1, 1], False, T([64, 512, 14, 14], i64, stride=(100352, 1, 7168, 512))), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/dla102","((T([64, 512, 7, 7], f16), T([64, 512, 14, 14], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 512, 7, 7], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/vgg16","((T([64, 512, 7, 7], f16), T([64, 512, 14, 14], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 512, 7, 7], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/vgg16","((T([64, 64, 112, 112], f16), T([64, 64, 224, 224], f16), [2, 2], [2, 2], [0, 0], [1, 1], False, T([64, 64, 112, 112], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/densenet121","((T([64, 64, 56, 56], f16), T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([64, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/ecaresnet101d","((T([64, 64, 56, 56], f16), T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([64, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TIMM/res2net101_26w_4s","((T([64, 64, 56, 56], f16), T([64, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([64, 64, 56, 56], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16, stride=(393216, 192, 16, 1)), T([8, 512, 12, 16], f16), [13, 13], [1, 1], [6, 6], [1, 1], False, T([8, 512, 12, 16], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16, stride=(393216, 192, 16, 1)), T([8, 512, 12, 16], f16), [5, 5], [1, 1], [2, 2], [1, 1], False, T([8, 512, 12, 16], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16, stride=(393216, 192, 16, 1)), T([8, 512, 12, 16], f16), [9, 9], [1, 1], [4, 4], [1, 1], False, T([8, 512, 12, 16], i64)), {})"]
["aten.max_pool2d_with_indices_backward.default","TorchBench/resnext50_32x4d","((T([8, 64, 56, 56], f16), T([8, 64, 112, 112], f16), [3, 3], [2, 2], [1, 1], [1, 1], False, T([8, 64, 56, 56], i64)), {})"]
["aten.maximum.default","HuggingFace/OPTForCausalLM","((T([4, 12, 128, 128], f16), T([], f32)), {})"]
["aten.mean.default","TorchBench/Super_SloMo","((T([6, 2, 351, 352], f16),), {})"]
["aten.mean.default","TorchBench/Super_SloMo","((T([6, 2, 352, 351], f16),), {})"]
["aten.mean.default","TorchBench/Super_SloMo","((T([6, 3, 352, 352], f16),), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 1152, 20, 20], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 144, 160, 160], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 144, 80, 80], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 16, 320, 320], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 1920, 20, 20], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 240, 40, 40], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 240, 80, 80], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 32, 320, 320], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 480, 40, 40], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 672, 20, 20], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 672, 40, 40], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientdet","((T([1, 96, 160, 160], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/selecsls42b","((T([128, 1024, 4, 4], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/shufflenet_v2_x1_0","((T([128, 1024, 7, 7], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/lcnet_050","((T([128, 128, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 1280, 6, 6], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/mnasnet_100","((T([128, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/mobilenetv2_100","((T([128, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/spnasnet_100","((T([128, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 1344, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 144, 24, 24], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 144, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/regnety_002","((T([128, 152, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/levit_128","((T([128, 16, 384], f16), [1]), {})"]
["aten.mean.dim","TIMM/resmlp_12_224","((T([128, 196, 384], f16, stride=(75264, 1, 196)), [1]), {})"]
["aten.mean.dim","TIMM/fbnetc_100","((T([128, 1984, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/hrnet_w18","((T([128, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/res2next50","((T([128, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/adv_inception_v3","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/gluon_inception_v3","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/inception_v3","((T([128, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/nfnet_l0","((T([128, 2304, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/regnety_002","((T([128, 24, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/gernet_l","((T([128, 2560, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/dm_nfnet_f0","((T([128, 3072, 6, 6], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_nfnet","((T([128, 3072, 6, 6], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/regnety_002","((T([128, 368, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/regnety_002","((T([128, 368, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/resnet18","((T([128, 512, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/regnety_002","((T([128, 56, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 672, 6, 6], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 72, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 720, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/visformer_small","((T([128, 768, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 768, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/hardcorenas_a","((T([128, 960, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), [-1], True), {})"]
["aten.mean.dim","TorchBench/pytorch_stargan","((T([16, 128], f16), [0]), {})"]
["aten.mean.dim","TorchBench/pytorch_stargan","((T([16, 256], f16), [0]), {})"]
["aten.mean.dim","TIMM/nasnetalarge","((T([16, 4032, 11, 11], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/pnasnet5large","((T([16, 4320, 11, 11], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/resnet18","((T([16, 512, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/pytorch_stargan","((T([16, 64], f16), [0]), {})"]
["aten.mean.dim","TIMM/crossvit_9_240","((T([2, 64, 1000], f16), [0]), {})"]
["aten.mean.dim","TorchBench/squeezenet1_1","((T([32, 1000, 13, 13], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/convnext_base","((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 128, 32, 32], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [1], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 128, 64, 64], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/mnasnet1_0","((T([32, 1280, 7, 7], f16), [2, 3]), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 144, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/gluon_xception65","((T([32, 2048, 10, 10], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_resnest","((T([32, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 240, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 256, 16, 16], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), [1], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 256, 32, 32], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/dpn107","((T([32, 2688, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/twins_pcpvt_base","((T([32, 49, 512], f16), [1]), {})"]
["aten.mean.dim","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), [1], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 512, 16, 16], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 512, 8, 8], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/resnest101e","((T([32, 64, 64, 64], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 672, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 72, 28, 28], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/timm_efficientnet","((T([32, 96, 56, 56], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/densenet121","((T([4, 1024, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f32), [-1], True), {})"]
["aten.mean.dim","HuggingFace/DebertaForQuestionAnswering","((T([4, 512, 768], f32), [-1], True), {})"]
["aten.mean.dim","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/densenet121","((T([64, 1024, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/dla102","((T([64, 1024, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/cspdarknet53","((T([64, 1024, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/sebotnet33ts_256","((T([64, 1280, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 1536, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 1536, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 1584, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 1584, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/gmlp_s16_224","((T([64, 196, 256], f16), [1]), {})"]
["aten.mean.dim","TIMM/gmixer_24_224","((T([64, 196, 384], f16), [1]), {})"]
["aten.mean.dim","TIMM/mixer_b16_224","((T([64, 196, 768], f16), [1]), {})"]
["aten.mean.dim","TIMM/beit_base_patch16_224","((T([64, 196, 768], f16, stride=(151296, 768, 1)), [1]), {})"]
["aten.mean.dim","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 336, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 336, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 336, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 336, 28, 28], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/swin_base_patch4_window7_224","((T([64, 49, 1024], f16), [1]), {})"]
["aten.mean.dim","TIMM/jx_nest_base","((T([64, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/ecaresnet101d","((T([64, 512, 28, 28], f16), [2, 3]), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 624, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 624, 14, 14], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/sebotnet33ts_256","((T([64, 64, 64, 64], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/mobilevit_s","((T([64, 640, 8, 8], f16), [-1, -2], True), {})"]
["aten.mean.dim","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), [-2, -1]), {})"]
["aten.mean.dim","TIMM/mixnet_l","((T([64, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TIMM/tf_mixnet_l","((T([64, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.mean.dim","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), [-1, -2], True), {})"]
["aten.mean.dim","TorchBench/mobilenet_v2","((T([96, 1280, 7, 7], f16), [-1, -2], True), {})"]
["aten.min.default","TorchBench/vision_maskrcnn","((T([2], i64),), {})"]
["aten.minimum.default","HuggingFace/BigBird","((T([1, 1, 1, 448], f16), T([1, 12, 64, 448], f32)), {})"]
["aten.minimum.default","TorchBench/hf_BigBird","((T([2, 1, 1, 448], f16), T([2, 12, 64, 448], f32)), {})"]
["aten.minimum.default","TorchBench/timm_efficientdet","((T([5000, 4], f32), T([4], f16)), {})"]
["aten.minimum.default","TorchBench/vision_maskrcnn","((T([], f32), T([], f32)), {})"]
["aten.mm.default","TorchBench/vision_maskrcnn","((T([0, 1024], f16), T([1024, 1024], f16)), {})"]
["aten.mm.default","TorchBench/vision_maskrcnn","((T([0, 1024], f16), T([1024, 12544], f16)), {})"]
["aten.mm.default","TorchBench/vision_maskrcnn","((T([0, 364], f16), T([364, 1024], f16)), {})"]
["aten.mm.default","TorchBench/vision_maskrcnn","((T([0, 91], f16), T([91, 1024], f16)), {})"]
["aten.mm.default","TorchBench/fambench_dlrm","((T([1, 1024], f16), T([1024, 4000], f16)), {})"]
["aten.mm.default","TIMM/volo_d1_224","((T([1000, 12544], f16, stride=(1, 1000)), T([12544, 384], f16)), {})"]
["aten.mm.default","TorchBench/shufflenet_v2_x1_0","((T([1000, 128], f16, stride=(0, 0)), T([128, 1024], f16)), {})"]
["aten.mm.default","TorchBench/timm_nfnet","((T([1000, 128], f16, stride=(0, 0)), T([128, 3072], f16)), {})"]
["aten.mm.default","TorchBench/alexnet","((T([1000, 128], f16, stride=(0, 0)), T([128, 4096], f16)), {})"]
["aten.mm.default","TIMM/ese_vovnet19b_dw","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1024], f16)), {})"]
["aten.mm.default","TIMM/selecsls42b","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1024], f16)), {})"]
["aten.mm.default","TIMM/ghostnet_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/hardcorenas_a","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/lcnet_050","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/mnasnet_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/mobilenetv2_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/mobilenetv3_large_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/rexnet_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/spnasnet_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/tf_efficientnet_b0","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/tinynet_a","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1280], f16)), {})"]
["aten.mm.default","TIMM/repvgg_a2","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1408], f16)), {})"]
["aten.mm.default","TIMM/fbnetc_100","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1984], f16)), {})"]
["aten.mm.default","TIMM/fbnetv3_b","((T([1000, 128], f16, stride=(1, 1000)), T([128, 1984], f16)), {})"]
["aten.mm.default","TIMM/adv_inception_v3","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/botnet26t_256","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/eca_botnext26ts_256","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/eca_halonext26ts","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/gluon_inception_v3","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/hrnet_w18","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/inception_v3","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
["aten.mm.default","TIMM/res2net50_14w_8s","((T([1000, 128], f16, stride=(1, 1000)), T([128, 2048], f16)), {})"]
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["aten.mm.default","TIMM/mobilenetv2_100","((T([128, 1000], f16), T([1000, 1280], f16)), {})"]
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["aten.mm.default","TIMM/spnasnet_100","((T([128, 1000], f16), T([1000, 1280], f16)), {})"]
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["aten.mm.default","TIMM/repvgg_a2","((T([128, 1000], f16), T([1000, 1408], f16)), {})"]
["aten.mm.default","TIMM/fbnetc_100","((T([128, 1000], f16), T([1000, 1984], f16)), {})"]
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["aten.mm.default","TIMM/eca_halonext26ts","((T([128, 1000], f16), T([1000, 2048], f16)), {})"]
["aten.mm.default","TIMM/gluon_inception_v3","((T([128, 1000], f16), T([1000, 2048], f16)), {})"]
["aten.mm.default","TIMM/hrnet_w18","((T([128, 1000], f16), T([1000, 2048], f16)), {})"]
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["aten.mm.default","TIMM/nfnet_l0","((T([128, 1000], f16), T([1000, 2304], f16)), {})"]
["aten.mm.default","TIMM/gernet_l","((T([128, 1000], f16), T([1000, 2560], f16)), {})"]
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["aten.mm.default","TIMM/resmlp_12_224","((T([128, 1000], f16), T([1000, 384], f16)), {})"]
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["aten.mm.default","TIMM/resnet18","((T([128, 1000], f16), T([1000, 512], f16)), {})"]
["aten.mm.default","TIMM/visformer_small","((T([128, 1000], f16), T([1000, 768], f16)), {})"]
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["aten.mm.default","TorchBench/alexnet","((T([128, 4096], f16), T([4096, 4096], f16)), {})"]
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["aten.mm.default","HuggingFace/MobileBertForQuestionAnswering","((T([128, 4096], f16, stride=(1, 128)), T([4096, 128], f16)), {})"]
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["aten.mm.default","HuggingFace/DebertaV2ForMaskedLM","((T([128100, 512], f16, stride=(1, 128100)), T([512, 1536], f16)), {})"]
["aten.mm.default","HuggingFace/M2M100ForConditionalGeneration","((T([128112, 256], f16, stride=(1, 128112)), T([256, 1024], f16)), {})"]
["aten.mm.default","TIMM/botnet26t_256","((T([131072, 128], f16), T([128, 31], f16, stride=(1, 128))), {})"]
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["aten.mm.default","TIMM/mobilevit_s","((T([144, 65536], f16, stride=(1, 144)), T([65536, 144], f16)), {})"]
["aten.mm.default","TIMM/mobilevit_s","((T([144, 65536], f16, stride=(1, 144)), T([65536, 288], f16)), {})"]
["aten.mm.default","TIMM/sebotnet33ts_256","((T([15, 16384], f16, stride=(1, 15)), T([16384, 128], f16)), {})"]
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["aten.mm.default","TorchBench/fambench_dlrm","((T([1500, 1024], f16, stride=(1, 1500)), T([1024, 1500], f16)), {})"]
["aten.mm.default","TorchBench/fambench_dlrm","((T([1500, 1024], f16, stride=(1, 1500)), T([1024, 2000], f16)), {})"]
["aten.mm.default","TIMM/gmlp_s16_224","((T([1536, 12544], f16, stride=(1, 1536)), T([12544, 256], f16)), {})"]
["aten.mm.default","TIMM/gmixer_24_224","((T([1536, 12544], f16, stride=(1, 1536)), T([12544, 384], f16)), {})"]
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["aten.mm.default","TIMM/swin_base_patch4_window7_224","((T([1536, 12544], f16, stride=(1, 1536)), T([12544, 512], f16)), {})"]
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["aten.mm.default","TorchBench/timm_vision_transformer","((T([1536, 1576], f16, stride=(1, 1536)), T([1576, 384], f16)), {})"]
["aten.mm.default","TIMM/pit_b_224","((T([1536, 16448], f16, stride=(1, 1536)), T([16448, 512], f16)), {})"]
["aten.mm.default","HuggingFace/DebertaV2ForMaskedLM","((T([1536, 512], f16), T([512, 1536], f16)), {})"]
["aten.mm.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1536, 512], f16), T([512, 1536], f16)), {})"]
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["aten.mm.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1536, 512], f16, stride=(1, 1536)), T([512, 1536], f16)), {})"]
["aten.mm.default","HuggingFace/DebertaV2ForMaskedLM","((T([1536, 512], f16, stride=(1, 1536)), T([512, 6144], f16)), {})"]
["aten.mm.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1536, 512], f16, stride=(1, 1536)), T([512, 6144], f16)), {})"]
["aten.mm.default","TIMM/coat_lite_mini","((T([1536, 6400], f16, stride=(1, 1536)), T([6400, 512], f16)), {})"]
["aten.mm.default","TIMM/convnext_base","((T([1568, 1024], f16), T([1024, 4096], f16)), {})"]
["aten.mm.default","TIMM/convnext_base","((T([1568, 1024], f16), T([1024, 4096], f16, stride=(1, 1024))), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 1024], f16), T([1024, 512], f16)), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 128], f16), T([128, 64], f16)), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 2048], f16), T([2048, 512], f16)), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 256], f16), T([256, 128], f16)), {})"]
["aten.mm.default","TIMM/convnext_base","((T([1568, 4096], f16), T([4096, 1024], f16)), {})"]
["aten.mm.default","TIMM/convnext_base","((T([1568, 4096], f16), T([4096, 1024], f16, stride=(1, 4096))), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 512], f16), T([512, 2048], f16)), {})"]
["aten.mm.default","TIMM/twins_pcpvt_base","((T([1568, 512], f16), T([512, 512], f16)), {})"]
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["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), T([128, 1536, 7, 7], f16)), {})"]
["aten.mul.Tensor","TIMM/levit_128","((T([128, 16, 16, 49], f16), 0.25), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 16, 96, 96], f16), 1.7015043497085571), {})"]
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["aten.mul.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16), T([1, 1, 384], f16)), {})"]
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["aten.mul.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16), T([384], f16)), {})"]
["aten.mul.Tensor","TIMM/resmlp_12_224","((T([128, 196, 384], f16, stride=(75264, 1, 196)), T([1, 1, 384], f16)), {})"]
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["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), T([128, 228, 28, 28], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16)), {})"]
["aten.mul.Tensor","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), T([128, 240, 1, 1], f16)), {})"]
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["aten.mul.Tensor","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), T([128, 240, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), T([128, 240, 1, 1], f16)), {})"]
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["aten.mul.Tensor","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})"]
["aten.mul.Tensor","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16)), {})"]
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["aten.mul.Tensor","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 256, 1, 1], f16)), {})"]
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["aten.mul.Tensor","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([128, 32, 96, 96], f16)), {})"]
["aten.mul.Tensor","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([128, 366, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([128, 366, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16)), {})"]
["aten.mul.Tensor","TIMM/levit_128","((T([128, 4, 196, 196], f16), 0.25), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 432, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16)), {})"]
["aten.mul.Tensor","TIMM/ghostnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 480, 1, 1], f16)), {})"]
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["aten.mul.Tensor","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16)), {})"]
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["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), 0.2), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), 0.2), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), 0.9622504486493761), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), 0.9622504486493761), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), 0.9805806756909201), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), 0.9805806756909201), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), 1.7015043497085571), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), 1.7015043497085571), {})"]
["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), 2.0), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), 2.0), {})"]
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["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), T([128, 512, 1, 1], f16)), {})"]
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["aten.mul.Tensor","TIMM/dm_nfnet_f0","((T([128, 512, 24, 24], f16), T([], f16)), {})"]
["aten.mul.Tensor","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), T([], f16)), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), 0.2), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), 0.9622504486493761), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), 0.9805806756909201), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), 2.0), {})"]
["aten.mul.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})"]
["aten.mul.Tensor","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([128, 570, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([128, 570, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/visformer_small","((T([128, 6, 196, 196], f16), 0.125), {})"]
["aten.mul.Tensor","TIMM/visformer_small","((T([128, 6, 49, 49], f16), 0.08838834764831845), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 636, 1, 1], f16)), {})"]
["aten.mul.Tensor","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16)), {})"]
["aten.mul.Tensor","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})"]
["aten.mul.Tensor","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})"]
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["aten.mul.Tensor","TIMM/twins_pcpvt_base","((T([32, 5, 196, 49], f16), 0.125), {})"]
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["aten.native_batch_norm.default","TIMM/rexnet_100","((T([128, 228, 56, 56], f16), T([228], f16), T([228], f16), T([228], f16), T([228], f16), True, 0.1, 1e-05), {})"]
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["aten.native_batch_norm.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), True, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TIMM/eca_botnext26ts_256","((T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), True, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TIMM/eca_halonext26ts","((T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), True, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 28, 28], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), False, 0.1, 1e-05), {})"]
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["aten.native_batch_norm.default","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), True, 0.1, 0.001), {})"]
["aten.native_batch_norm.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), True, 0.1, 1e-05), {})"]
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["aten.native_batch_norm.default","TIMM/densenet121","((T([64, 992, 7, 7], f16), T([992], f16), T([992], f16), T([992], f16), T([992], f16), True, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 128, 24, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 128, 48, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 256, 12, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 32, 192, 256], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 32, 384, 512], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/resnext50_32x4d","((T([8, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/yolov3","((T([8, 64, 96, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.03, 0.0001), {})"]
["aten.native_batch_norm.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 32, 28, 28], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 64, 14, 14], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/LearningToPaint","((T([96, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 96, 56, 56], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm.default","TorchBench/mobilenet_v2","((T([96, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f16), False, 0.1, 1e-05), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_stargan","((T([1, 1024, 128, 128], f16), T([1, 1024, 128, 128], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 112, 40, 40], f16), T([1, 112, 40, 40], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 128, 1152], f16), T([1, 128, 1152], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 128, 1152], f16), T([1, 128, 1152], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 128, 128, 128], f16), T([1, 128, 128, 128], f16), None, None, None, T([128], f32), T([128], f32), True, 1e-05, [True, False, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 128, 128], f16), T([1, 128, 128], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 128, 128], f16), T([1, 128, 128], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 128, 160, 239], f16), T([1, 128, 160, 239], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 128, 256], f16), T([1, 128, 256], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 128, 320, 479], f16), T([1, 128, 320, 479], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 128, 512], f16), T([1, 128, 512], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 128, 576], f16), T([1, 128, 576], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 128, 576], f16), T([1, 128, 576], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 128, 576], f16), T([1, 128, 576], f16), T([128], f16), None, None, T([128], f32), T([128], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 160, 160], f16), T([1, 144, 160, 160], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 144, 80, 80], f16), T([1, 144, 80, 80], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 1536, 1536], f16), T([1, 1536, 1536], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 1536, 1536], f16), T([1, 1536, 1536], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 1536, 1536], f16), T([1, 1536, 1536], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 1536, 384], f16), T([1, 1536, 384], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 1536, 512], f16), T([1, 1536, 512], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 1536, 512], f16), T([1, 1536, 512], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 1536, 512], f16), T([1, 1536, 512], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 1536, 768], f16), T([1, 1536, 768], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 1536, 768], f16), T([1, 1536, 768], f16), T([1536], f16), None, None, T([1536], f32), T([1536], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 16, 27], f16), T([1, 16, 27], f16), T([16], f16), None, None, T([16], f32), T([16], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 16, 27], f16), T([1, 16, 27], f16), T([16], f16), None, None, T([16], f32), T([16], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 16, 27], f16), T([1, 16, 27], f16), T([16], f16), None, None, T([16], f32), T([16], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 192, 20, 20], f16), T([1, 192, 20, 20], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 1920, 20, 20], f16), T([1, 1920, 20, 20], f16), T([1920], f16), T([1920], f16), T([1920], f16), T([1920], f32), T([1920], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_stargan","((T([1, 2048, 64, 64], f16), T([1, 2048, 64, 64], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 2304, 1536], f16), T([1, 2304, 1536], f16), T([2304], f16), None, None, T([2304], f32), T([2304], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 24, 160, 160], f16), T([1, 24, 160, 160], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 40, 40], f16), T([1, 240, 40, 40], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 240, 80, 80], f16), T([1, 240, 80, 80], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 256, 1152], f16), T([1, 256, 1152], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 256, 1152], f16), T([1, 256, 1152], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 256, 128], f16), T([1, 256, 128], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 256, 128], f16), T([1, 256, 128], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 256, 128], f16), T([1, 256, 128], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 256, 160, 239], f16), T([1, 256, 160, 239], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 256, 256], f16), T([1, 256, 256], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 256, 256], f16), T([1, 256, 256], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 256, 512], f16), T([1, 256, 512], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 256, 512], f16), T([1, 256, 512], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16), T([1, 256, 64, 64], f16), None, None, None, T([256], f32), T([256], f32), True, 1e-05, [True, False, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 256, 64], f16), T([1, 256, 64], f16), T([256], f16), None, None, T([256], f32), T([256], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 256, 80, 119], f16), T([1, 256, 80, 119], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 3072, 1536], f16), T([1, 3072, 1536], f16), T([3072], f16), None, None, T([3072], f32), T([3072], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 3072, 1536], f16), T([1, 3072, 1536], f16), T([3072], f16), None, None, T([3072], f32), T([3072], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 32, 144], f16), T([1, 32, 144], f16), T([32], f16), None, None, T([32], f32), T([32], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 32, 144], f16), T([1, 32, 144], f16), T([32], f16), None, None, T([32], f32), T([32], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 32, 144], f16), T([1, 32, 144], f16), T([32], f16), None, None, T([32], f32), T([32], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 32, 320, 320], f16), T([1, 32, 320, 320], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 320, 20, 20], f16), T([1, 320, 20, 20], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 384, 1536], f16), T([1, 384, 1536], f16), T([384], f16), None, None, T([384], f32), T([384], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 384, 512], f16), T([1, 384, 512], f16), T([384], f16), None, None, T([384], f32), T([384], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 384, 576], f16), T([1, 384, 576], f16), T([384], f16), None, None, T([384], f32), T([384], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 40, 80, 80], f16), T([1, 40, 80, 80], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_stargan","((T([1, 4096, 32, 32], f16), T([1, 4096, 32, 32], f16), T([4096], f16), T([4096], f16), T([4096], f16), T([4096], f32), T([4096], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 480, 40, 40], f16), T([1, 480, 40, 40], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 512, 128], f16), T([1, 512, 128], f16), T([512], f16), None, None, T([512], f32), T([512], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 512, 256], f16), T([1, 512, 256], f16), T([512], f16), None, None, T([512], f32), T([512], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 512, 256], f16), T([1, 512, 256], f16), T([512], f16), None, None, T([512], f32), T([512], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 512, 256], f16), T([1, 512, 256], f16), T([512], f16), None, None, T([512], f32), T([512], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 512, 40, 59], f16), T([1, 512, 40, 59], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 512, 80, 119], f16), T([1, 512, 80, 119], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 64, 128], f16), T([1, 64, 128], f16), T([64], f16), None, None, T([64], f32), T([64], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16), T([1, 64, 256, 256], f16), None, None, None, T([64], f32), T([64], f32), True, 1e-05, [True, False, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 64, 288], f16), T([1, 64, 288], f16), T([64], f16), None, None, T([64], f32), T([64], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 64, 288], f16), T([1, 64, 288], f16), T([64], f16), None, None, T([64], f32), T([64], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 64, 288], f16), T([1, 64, 288], f16), T([64], f16), None, None, T([64], f32), T([64], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 64, 320, 479], f16), T([1, 64, 320, 479], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nfnet_l0","((T([1, 64, 576], f16), T([1, 64, 576], f16), T([64], f16), None, None, T([64], f32), T([64], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/pytorch_unet","((T([1, 64, 640, 959], f16), T([1, 64, 640, 959], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 20, 20], f16), T([1, 672, 20, 20], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 672, 40, 40], f16), T([1, 672, 40, 40], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 768, 1152], f16), T([1, 768, 1152], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 768, 1152], f16), T([1, 768, 1152], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 768, 1536], f16), T([1, 768, 1536], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 768, 1536], f16), T([1, 768, 1536], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dm_nfnet_f0","((T([1, 768, 512], f16), T([1, 768, 512], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_nfnet","((T([1, 768, 512], f16), T([1, 768, 512], f16), T([768], f16), None, None, T([768], f32), T([768], f32), True, 1e-05, [True, True, False]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 80, 40, 40], f16), T([1, 80, 40, 40], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), T([1, 88, 10, 10], f16), T([88], f16), T([88], f16), T([88], f16), T([88], f32), T([88], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), T([1, 88, 20, 20], f16), T([88], f16), T([88], f16), T([88], f16), T([88], f32), T([88], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), T([1, 88, 40, 40], f16), T([88], f16), T([88], f16), T([88], f16), T([88], f32), T([88], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), T([1, 88, 5, 5], f16), T([88], f16), T([88], f16), T([88], f16), T([88], f32), T([88], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), T([1, 88, 80, 80], f16), T([88], f16), T([88], f16), T([88], f16), T([88], f32), T([88], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 96, 160, 160], f16), T([1, 96, 160, 160], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientdet","((T([1, 96, 320, 320], f16), T([1, 96, 320, 320], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16), T([128, 100, 14, 14], f16), T([100], f16), T([100], f16), T([100], f16), T([100], f32), T([100], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 1024, 4, 4], f16), T([128, 1024, 4, 4], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), T([128, 1044, 7, 7], f16), T([1044], f16), T([1044], f16), T([1044], f16), T([1044], f32), T([1044], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 106, 14, 14], f16), T([128, 106, 14, 14], f16), T([106], f16), T([106], f16), T([106], f16), T([106], f32), T([106], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), T([1104], f16), T([1104], f16), T([1104], f16), T([1104], f32), T([1104], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), T([1104], f16), T([1104], f16), T([1104], f16), T([1104], f32), T([1104], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 112, 12, 12], f16), T([128, 112, 12, 12], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 112, 14, 14], f16), T([128, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16), T([128, 112, 56, 56], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), T([116], f16), T([116], f16), T([116], f16), T([116], f32), T([116], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16), T([128, 116, 28, 28], f16), T([116], f16), T([116], f16), T([116], f16), T([116], f32), T([116], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 117, 14, 14], f16), T([128, 117, 14, 14], f16), T([117], f16), T([117], f16), T([117], f16), T([117], f32), T([117], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16), T([128, 12, 56, 56], f16), T([12], f16), T([12], f16), T([12], f16), T([12], f32), T([12], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 12, 56, 56], f16, stride=(75264, 3136, 56, 1)), T([128, 12, 56, 56], f16), T([12], f16), T([12], f16), T([12], f16), T([12], f32), T([12], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 120, 14, 14], f16), T([128, 120, 14, 14], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 120, 56, 56], f16), T([128, 120, 56, 56], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([128, 128, 14, 14], f16, stride=(25088, 1, 1792, 128)), T([128, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 128, 7, 7], f16), T([128, 128, 7, 7], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 1280, 4, 4], f16), T([128, 1280, 4, 4], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 1280, 6, 6], f16), T([128, 1280, 6, 6], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 1344, 7, 7], f16), T([128, 1344, 7, 7], f16), T([1344], f16), T([1344], f16), T([1344], f16), T([1344], f32), T([1344], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([14], f16), T([14], f16), T([14], f16), T([14], f32), T([14], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 140, 7, 7], f16), T([128, 140, 7, 7], f16), T([140], f16), T([140], f16), T([140], f16), T([140], f32), T([140], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16), T([128, 1408, 7, 7], f16), T([1408], f16), T([1408], f16), T([1408], f16), T([1408], f32), T([1408], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 144, 24, 24], f16), T([128, 144, 24, 24], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), T([128, 144, 48, 48], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 144, 7, 7], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 151, 7, 7], f16), T([128, 151, 7, 7], f16), T([151], f16), T([151], f16), T([151], f16), T([151], f32), T([151], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152], f16), T([152], f16), T([152], f16), T([152], f32), T([152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152], f16), T([152], f16), T([152], f16), T([152], f32), T([152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 152, 28, 28], f16), T([128, 152, 28, 28], f16), T([152], f16), T([152], f16), T([152], f16), T([152], f32), T([152], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 16, 56, 56], f16), T([128, 16, 56, 56], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 16, 56, 56], f16), T([128, 16, 56, 56], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 16, 96, 96], f16), T([128, 16, 96, 96], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([128, 160, 16, 16], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 160, 32, 32], f16), T([128, 160, 32, 32], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 160, 7, 7], f16), T([128, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 162, 56, 56], f16), T([128, 162, 56, 56], f16), T([162], f16), T([162], f16), T([162], f16), T([162], f32), T([162], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 162, 7, 7], f16), T([128, 162, 7, 7], f16), T([162], f16), T([162], f16), T([162], f16), T([162], f32), T([162], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 174, 7, 7], f16), T([128, 174, 7, 7], f16), T([174], f16), T([174], f16), T([174], f16), T([174], f32), T([174], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), T([128, 18, 14, 14], f16), T([18], f16), T([18], f16), T([18], f16), T([18], f32), T([18], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([128, 18, 28, 28], f16), T([18], f16), T([18], f16), T([18], f16), T([18], f32), T([18], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16), T([18], f16), T([18], f16), T([18], f16), T([18], f32), T([18], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 18, 7, 7], f16), T([128, 18, 7, 7], f16), T([18], f16), T([18], f16), T([18], f16), T([18], f32), T([18], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 184, 14, 14], f16), T([128, 184, 14, 14], f16), T([184], f16), T([184], f16), T([184], f16), T([184], f32), T([184], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16), T([184], f16), T([184], f16), T([184], f16), T([184], f32), T([184], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 184, 7, 7], f16), T([128, 184, 7, 7], f16), T([184], f16), T([184], f16), T([184], f16), T([184], f32), T([184], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 185, 7, 7], f16), T([128, 185, 7, 7], f16), T([185], f16), T([185], f16), T([185], f16), T([185], f32), T([185], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 19, 1, 1], f16), T([128, 19, 1, 1], f16), T([19], f16), T([19], f16), T([19], f16), T([19], f32), T([19], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/visformer_small","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 192, 32, 32], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 192, 6, 6], f16), T([128, 192, 6, 6], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 192, 7, 7], f16), T([128, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 8, 8], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 8, 8], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16), T([128, 192, 8, 8], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 1920, 16, 16], f16), T([128, 1920, 16, 16], f16), T([1920], f16), T([1920], f16), T([1920], f16), T([1920], f32), T([1920], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([128, 1920, 8, 8], f16), T([1920], f16), T([1920], f16), T([1920], f16), T([1920], f32), T([1920], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 1984, 7, 7], f16), T([128, 1984, 7, 7], f16), T([1984], f16), T([1984], f16), T([1984], f16), T([1984], f32), T([1984], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16), T([128, 20, 28, 28], f16), T([20], f16), T([20], f16), T([20], f16), T([20], f32), T([20], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 20, 28, 28], f16, stride=(31360, 784, 28, 1)), T([128, 20, 28, 28], f16), T([20], f16), T([20], f16), T([20], f16), T([20], f32), T([20], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 200, 14, 14], f16), T([128, 200, 14, 14], f16), T([200], f16), T([200], f16), T([200], f16), T([200], f32), T([200], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 200, 14, 14], f16), T([128, 200, 14, 14], f16), T([200], f16), T([200], f16), T([200], f16), T([200], f32), T([200], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 200, 28, 28], f16), T([128, 200, 28, 28], f16), T([200], f16), T([200], f16), T([200], f16), T([200], f32), T([200], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 216, 14, 14], f16), T([128, 216, 14, 14], f16), T([216], f16), T([216], f16), T([216], f16), T([216], f32), T([216], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 28, 28], f16), T([128, 224, 28, 28], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 56, 56], f16), T([128, 224, 56, 56], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), T([128, 228, 28, 28], f16), T([228], f16), T([228], f16), T([228], f16), T([228], f32), T([228], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 228, 56, 56], f16), T([128, 228, 56, 56], f16), T([228], f16), T([228], f16), T([228], f16), T([228], f32), T([228], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16), T([232], f16), T([232], f16), T([232], f16), T([232], f32), T([232], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), T([232], f16), T([232], f16), T([232], f16), T([232], f32), T([232], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16), T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 24, 128, 128], f16), T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 24, 128, 128], f16), T([128, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 28, 28], f16), T([128, 24, 28, 28], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 24, 28, 28], f16), T([128, 24, 28, 28], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 24, 48, 48], f16), T([128, 24, 48, 48], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), T([128, 240, 12, 12], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), T([128, 240, 24, 24], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 25, 1, 1], f16), T([128, 25, 1, 1], f16), T([25], f16), T([25], f16), T([25], f16), T([25], f32), T([25], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16), T([128, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 256, 28, 28], f16), T([128, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 256, 32, 32], f16), T([128, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 32, 32], f16), T([128, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 32, 32], f16), T([128, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 256, 64, 64], f16), T([128, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 256, 7, 7], f16), T([128, 256, 7, 7], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 2560, 8, 8], f16), T([128, 2560, 8, 8], f16), T([2560], f16), T([2560], f16), T([2560], f16), T([2560], f32), T([2560], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 27, 56, 56], f16), T([128, 27, 56, 56], f16), T([27], f16), T([27], f16), T([27], f16), T([27], f32), T([27], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), T([28], f16), T([28], f16), T([28], f16), T([28], f32), T([28], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16), T([128, 288, 14, 14], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16), T([128, 288, 28, 28], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 30, 1, 1], f16), T([128, 30, 1, 1], f16), T([30], f16), T([30], f16), T([30], f16), T([30], f32), T([30], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), T([128, 300, 28, 28], f16), T([300], f16), T([300], f16), T([300], f16), T([300], f32), T([300], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 304, 14, 14], f16), T([304], f16), T([304], f16), T([304], f16), T([304], f32), T([304], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/visformer_small","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 147, 147], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 147, 147], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 147, 147], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 32, 28, 28], f16), T([128, 32, 28, 28], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 32, 35, 35], f16), T([128, 32, 35, 35], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 35, 35], f16), T([128, 32, 35, 35], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 32, 35, 35], f16), T([128, 32, 35, 35], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), T([128, 32, 96, 96], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 320, 6, 6], f16), T([128, 320, 6, 6], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 320, 7, 7], f16), T([128, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 320, 7, 7], f16), T([128, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 320, 7, 7], f16), T([128, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 320, 7, 7], f16), T([128, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 320, 8, 8], f16), T([128, 320, 8, 8], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 320, 8, 8], f16), T([128, 320, 8, 8], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 320, 8, 8], f16), T([128, 320, 8, 8], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 352, 7, 7], f16), T([128, 352, 7, 7], f16), T([352], f16), T([352], f16), T([352], f16), T([352], f32), T([352], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 36, 1, 1], f16), T([128, 36, 1, 1], f16), T([36], f16), T([36], f16), T([36], f16), T([36], f32), T([36], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), T([128, 36, 14, 14], f16), T([36], f16), T([36], f16), T([36], f16), T([36], f32), T([36], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 36, 28, 28], f16), T([36], f16), T([36], f16), T([36], f16), T([36], f32), T([36], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16), T([128, 36, 56, 56], f16), T([36], f16), T([36], f16), T([36], f16), T([36], f32), T([36], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 36, 7, 7], f16), T([128, 36, 7, 7], f16), T([36], f16), T([36], f16), T([36], f16), T([36], f32), T([36], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), T([128, 360, 14, 14], f16), T([360], f16), T([360], f16), T([360], f16), T([360], f32), T([360], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), T([128, 366, 14, 14], f16), T([366], f16), T([366], f16), T([366], f16), T([366], f32), T([366], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 366, 28, 28], f16), T([128, 366, 28, 28], f16), T([366], f16), T([366], f16), T([366], f16), T([366], f32), T([366], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 368, 14, 14], f16), T([128, 368, 14, 14], f16), T([368], f16), T([368], f16), T([368], f16), T([368], f32), T([368], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16), T([368], f16), T([368], f16), T([368], f16), T([368], f32), T([368], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 38, 56, 56], f16), T([128, 38, 56, 56], f16), T([38], f16), T([38], f16), T([38], f16), T([38], f32), T([38], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/visformer_small","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 384, 17, 17], f16), T([128, 384, 17, 17], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 17, 17], f16), T([128, 384, 17, 17], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 384, 17, 17], f16), T([128, 384, 17, 17], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([128, 384], f16), T([128, 384], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16), T([128, 40, 14, 14], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 40, 14, 14], f16, stride=(15680, 196, 14, 1)), T([128, 40, 14, 14], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 40, 24, 24], f16), T([128, 40, 24, 24], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 40, 28, 28], f16), T([128, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 42, 1, 1], f16), T([128, 42, 1, 1], f16), T([42], f16), T([42], f16), T([42], f16), T([42], f32), T([42], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), T([128, 432, 14, 14], f16), T([432], f16), T([432], f16), T([432], f16), T([432], f32), T([432], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 14, 14], f16), T([128, 448, 14, 14], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 28, 28], f16), T([128, 448, 28, 28], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16), T([128, 448, 8, 8], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 448, 8, 8], f16), T([128, 448, 8, 8], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16), T([128, 448, 8, 8], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 47, 1, 1], f16), T([128, 47, 1, 1], f16), T([47], f16), T([47], f16), T([47], f16), T([47], f32), T([47], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16), T([128, 480, 7, 7], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 50, 28, 28], f16), T([128, 50, 28, 28], f16), T([50], f16), T([50], f16), T([50], f16), T([50], f32), T([50], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16), T([504], f16), T([504], f16), T([504], f16), T([504], f32), T([504], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([128, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 512, 14, 14], f16), T([128, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 53, 1, 1], f16), T([128, 53, 1, 1], f16), T([53], f16), T([53], f16), T([53], f16), T([53], f32), T([53], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56], f16), T([56], f16), T([56], f16), T([56], f32), T([56], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56], f16), T([56], f16), T([56], f16), T([56], f32), T([56], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 56, 14, 14], f16, stride=(21952, 196, 14, 1)), T([128, 56, 14, 14], f16), T([56], f16), T([56], f16), T([56], f16), T([56], f32), T([56], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([56], f16), T([56], f16), T([56], f16), T([56], f32), T([56], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/regnety_002","((T([128, 56, 56, 56], f16), T([128, 56, 56, 56], f16), T([56], f16), T([56], f16), T([56], f16), T([56], f32), T([56], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), T([128, 570, 14, 14], f16), T([570], f16), T([570], f16), T([570], f16), T([570], f32), T([570], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 576, 7, 7], f16), T([128, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 58, 1, 1], f16), T([128, 58, 1, 1], f16), T([58], f16), T([58], f16), T([58], f16), T([58], f32), T([58], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16), T([58], f16), T([58], f16), T([58], f16), T([58], f32), T([58], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 56, 56], f16), T([128, 58, 56, 56], f16), T([58], f16), T([58], f16), T([58], f16), T([58], f32), T([58], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16), T([128, 60, 28, 28], f16), T([60], f16), T([60], f16), T([60], f16), T([60], f32), T([60], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 61, 28, 28], f16), T([128, 61, 28, 28], f16), T([61], f16), T([61], f16), T([61], f16), T([61], f32), T([61], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), T([128, 636, 14, 14], f16), T([636], f16), T([636], f16), T([636], f16), T([636], f32), T([636], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 64, 1, 1], f16), T([128, 64, 1, 1], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnet18","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 64, 128, 128], f16), T([128, 64, 128, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 128, 128], f16), T([128, 64, 128, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 128, 128], f16), T([128, 64, 128, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnet18","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([128, 640, 16, 16], f16), T([640], f16), T([640], f16), T([640], f16), T([640], f32), T([640], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16), T([128, 640, 8, 8], f16), T([640], f16), T([640], f16), T([640], f16), T([640], f32), T([640], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), T([128, 702, 14, 14], f16), T([702], f16), T([702], f16), T([702], f16), T([702], f32), T([702], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/hrnet_w18","((T([128, 72, 7, 7], f16), T([128, 72, 7, 7], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 720, 14, 14], f16), T([128, 720, 14, 14], f16), T([720], f16), T([720], f16), T([720], f16), T([720], f32), T([720], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 720, 7, 7], f16), T([128, 720, 7, 7], f16), T([720], f16), T([720], f16), T([720], f16), T([720], f32), T([720], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), T([128, 736, 7, 7], f16), T([736], f16), T([736], f16), T([736], f16), T([736], f32), T([736], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 75, 1, 1], f16), T([128, 75, 1, 1], f16), T([75], f16), T([75], f16), T([75], f16), T([75], f32), T([75], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/visformer_small","((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16), T([8], f16), T([8], f16), T([8], f16), T([8], f32), T([8], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/lcnet_050","((T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16), T([8], f16), T([8], f16), T([8], f16), T([8], f32), T([8], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16, stride=(200704, 12544, 112, 1)), T([128, 8, 112, 112], f16), T([8], f16), T([8], f16), T([8], f16), T([8], f32), T([8], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 80, 12, 12], f16), T([128, 80, 12, 12], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16), T([128, 80, 7, 7], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 80, 7, 7], f16, stride=(7840, 49, 7, 1)), T([128, 80, 7, 7], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 81, 1, 1], f16), T([128, 81, 1, 1], f16), T([81], f16), T([81], f16), T([81], f16), T([81], f32), T([81], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 84, 14, 14], f16), T([128, 84, 14, 14], f16), T([84], f16), T([84], f16), T([84], f16), T([84], f32), T([84], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), T([128, 840, 7, 7], f16), T([840], f16), T([840], f16), T([840], f16), T([840], f32), T([840], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 87, 1, 1], f16), T([128, 87, 1, 1], f16), T([87], f16), T([87], f16), T([87], f16), T([87], f32), T([87], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 14, 14], f16), T([128, 896, 14, 14], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 7, 7], f16), T([128, 896, 7, 7], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), T([128, 906, 7, 7], f16), T([906], f16), T([906], f16), T([906], f16), T([906], f32), T([906], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16), T([128, 92, 14, 14], f16), T([92], f16), T([92], f16), T([92], f16), T([92], f32), T([92], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 95, 14, 14], f16), T([128, 95, 14, 14], f16), T([95], f16), T([95], f16), T([95], f16), T([95], f32), T([95], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 96, 112, 112], f16), T([128, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 96, 112, 112], f16), T([128, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 112, 112], f16), T([128, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 96, 112, 112], f16), T([128, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mnasnet_100","((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilenetv2_100","((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/spnasnet_100","((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 17, 17], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 17, 17], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 96, 17, 17], f16), T([128, 96, 17, 17], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16), T([128, 96, 28, 28], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16), T([128, 96, 35, 35], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), T([128, 96, 48, 48], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/selecsls42b","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), T([128, 972, 7, 7], f16), T([972], f16), T([972], f16), T([972], f16), T([972], f32), T([972], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), T([108], f16), T([108], f16), T([108], f16), T([108], f32), T([108], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16, stride=(952560, 1764, 42, 1)), T([16, 108, 42, 42], f16), T([108], f16), T([108], f16), T([108], f16), T([108], f32), T([108], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 108, 83, 83], f16), T([16, 108, 83, 83], f16), T([108], f16), T([108], f16), T([108], f16), T([108], f32), T([108], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16), T([16, 168, 42, 42], f16), T([168], f16), T([168], f16), T([168], f16), T([168], f32), T([168], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16, stride=(1778112, 1764, 42, 1)), T([16, 168, 42, 42], f16), T([168], f16), T([168], f16), T([168], f16), T([168], f32), T([168], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16), T([16, 216, 42, 42], f16), T([216], f16), T([216], f16), T([216], f16), T([216], f32), T([216], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16, stride=(1905120, 1764, 42, 1)), T([16, 216, 42, 42], f16), T([216], f16), T([216], f16), T([216], f16), T([216], f32), T([216], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16), T([16, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(592704, 441, 21, 1)), T([16, 336, 21, 21], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16, stride=(889056, 441, 21, 1)), T([16, 336, 21, 21], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 336, 42, 42], f16), T([16, 336, 42, 42], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 42, 165, 165], f16), T([16, 42, 165, 165], f16), T([42], f16), T([42], f16), T([42], f16), T([42], f32), T([42], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), T([42], f16), T([42], f16), T([42], f16), T([42], f32), T([42], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16, stride=(1157352, 6889, 83, 1)), T([16, 42, 83, 83], f16), T([42], f16), T([42], f16), T([42], f16), T([42], f32), T([42], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), T([432], f16), T([432], f16), T([432], f16), T([432], f32), T([432], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16, stride=(952560, 441, 21, 1)), T([16, 432, 21, 21], f16), T([432], f16), T([432], f16), T([432], f16), T([432], f32), T([432], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 432, 42, 42], f16), T([16, 432, 42, 42], f16), T([432], f16), T([432], f16), T([432], f16), T([432], f32), T([432], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([16, 512, 7, 7], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 54, 165, 165], f16), T([16, 54, 165, 165], f16), T([54], f16), T([54], f16), T([54], f16), T([54], f32), T([54], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), T([54], f16), T([54], f16), T([54], f16), T([54], f32), T([54], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16, stride=(1860030, 6889, 83, 1)), T([16, 54, 83, 83], f16), T([54], f16), T([54], f16), T([54], f16), T([54], f32), T([54], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet18","((T([16, 64, 112, 112], f16), T([16, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([16, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(325248, 121, 11, 1)), T([16, 672, 11, 11], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16, stride=(487872, 121, 11, 1)), T([16, 672, 11, 11], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 672, 21, 21], f16), T([16, 672, 21, 21], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), T([84], f16), T([84], f16), T([84], f16), T([84], f32), T([84], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16, stride=(592704, 1764, 42, 1)), T([16, 84, 42, 42], f16), T([84], f16), T([84], f16), T([84], f16), T([84], f32), T([84], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 84, 83, 83], f16), T([16, 84, 83, 83], f16), T([84], f16), T([84], f16), T([84], f16), T([84], f32), T([84], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), T([864], f16), T([864], f16), T([864], f16), T([864], f32), T([864], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16, stride=(522720, 121, 11, 1)), T([16, 864, 11, 11], f16), T([864], f16), T([864], f16), T([864], f16), T([864], f32), T([864], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 864, 21, 21], f16), T([16, 864, 21, 21], f16), T([864], f16), T([864], f16), T([864], f16), T([864], f32), T([864], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/nasnetalarge","((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/pnasnet5large","((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([2048, 256], f16), T([2048, 256], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([2048, 384], f16), T([2048, 384], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([2048, 768], f16), T([2048, 768], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([25088, 128], f16), T([25088, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([25088, 256], f16), T([25088, 256], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([25088, 640], f16), T([25088, 640], f16), T([640], f16), T([640], f16), T([640], f16), T([640], f32), T([640], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), T([3, 128, 256, 256], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), T([3, 256, 128, 128], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 64, 128, 128], f16), T([3, 64, 128, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([3, 64, 512, 512], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 1024, 19, 19], f16), T([32, 1024, 19, 19], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 56, 56], f16), T([32, 1024, 56, 56], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16), T([32, 1024, 8, 8], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1088, 28, 28], f16), T([32, 1088, 28, 28], f16), T([1088], f16), T([1088], f16), T([1088], f16), T([1088], f32), T([1088], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 112, 14, 14], f16), T([32, 112, 14, 14], f16), T([112], f16), T([112], f16), T([112], f16), T([112], f32), T([112], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1152, 28, 28], f16), T([32, 1152, 28, 28], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), T([1152], f16), T([1152], f16), T([1152], f16), T([1152], f32), T([1152], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1216, 14, 14], f16), T([32, 1216, 14, 14], f16), T([1216], f16), T([1216], f16), T([1216], f16), T([1216], f32), T([1216], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 128, 1, 1], f16), T([32, 128, 1, 1], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 128, 112, 112], f16), T([32, 128, 112, 112], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 128, 128, 128], f16), T([32, 128, 128, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 128, 150, 150], f16), T([32, 128, 150, 150], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/dcgan","((T([32, 128, 16, 16], f16), T([32, 128, 16, 16], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16), T([32, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16), T([32, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16), T([32, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16), T([32, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16), T([32, 128, 75, 75], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1280, 14, 14], f16), T([32, 1280, 14, 14], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 1280, 7, 7], f16), T([32, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 1280, 7, 7], f16), T([32, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1344, 14, 14], f16), T([32, 1344, 14, 14], f16), T([1344], f16), T([1344], f16), T([1344], f16), T([1344], f32), T([1344], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1408, 14, 14], f16), T([32, 1408, 14, 14], f16), T([1408], f16), T([1408], f16), T([1408], f16), T([1408], f32), T([1408], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 28, 28], f16), T([32, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 144, 56, 56], f16), T([32, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1472, 14, 14], f16), T([32, 1472, 14, 14], f16), T([1472], f16), T([1472], f16), T([1472], f16), T([1472], f32), T([1472], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16), T([32, 1536, 10, 10], f16), T([1536], f16), T([1536], f16), T([1536], f16), T([1536], f32), T([1536], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1536, 14, 14], f16), T([32, 1536, 14, 14], f16), T([1536], f16), T([1536], f16), T([1536], f16), T([1536], f32), T([1536], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 16, 112, 112], f16), T([32, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 160, 28, 28], f16), T([32, 160, 28, 28], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 160, 7, 7], f16), T([32, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1600, 14, 14], f16), T([32, 1600, 14, 14], f16), T([1600], f16), T([1600], f16), T([1600], f16), T([1600], f32), T([1600], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16), T([32, 1600, 7, 7], f16), T([1600], f16), T([1600], f16), T([1600], f16), T([1600], f32), T([1600], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1664, 14, 14], f16), T([32, 1664, 14, 14], f16), T([1664], f16), T([1664], f16), T([1664], f16), T([1664], f32), T([1664], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1728, 14, 14], f16), T([32, 1728, 14, 14], f16), T([1728], f16), T([1728], f16), T([1728], f16), T([1728], f32), T([1728], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1792, 14, 14], f16), T([32, 1792, 14, 14], f16), T([1792], f16), T([1792], f16), T([1792], f16), T([1792], f32), T([1792], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 184, 14, 14], f16), T([32, 184, 14, 14], f16), T([184], f16), T([184], f16), T([184], f16), T([184], f32), T([184], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1856, 14, 14], f16), T([32, 1856, 14, 14], f16), T([1856], f16), T([1856], f16), T([1856], f16), T([1856], f32), T([1856], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16), T([32, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 192, 7, 7], f16), T([32, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 192, 7, 7], f16), T([32, 192, 7, 7], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1920, 14, 14], f16), T([32, 1920, 14, 14], f16), T([1920], f16), T([1920], f16), T([1920], f16), T([1920], f32), T([1920], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 1984, 14, 14], f16), T([32, 1984, 14, 14], f16), T([1984], f16), T([1984], f16), T([1984], f16), T([1984], f32), T([1984], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 200, 14, 14], f16), T([32, 200, 14, 14], f16), T([200], f16), T([200], f16), T([200], f16), T([200], f32), T([200], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 200, 56, 56], f16), T([32, 200, 56, 56], f16), T([200], f16), T([200], f16), T([200], f16), T([200], f32), T([200], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 2048, 10, 10], f16), T([32, 2048, 10, 10], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2048, 14, 14], f16), T([32, 2048, 14, 14], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16), T([32, 2048, 14, 14], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 28, 28], f16), T([32, 2048, 28, 28], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16), T([32, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 2048, 8, 8], f16), T([32, 2048, 8, 8], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2112, 14, 14], f16), T([32, 2112, 14, 14], f16), T([2112], f16), T([2112], f16), T([2112], f16), T([2112], f32), T([2112], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2176, 14, 14], f16), T([32, 2176, 14, 14], f16), T([2176], f16), T([2176], f16), T([2176], f16), T([2176], f32), T([2176], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 224, 112, 112], f16), T([32, 224, 112, 112], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16), T([32, 224, 56, 56], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16), T([32, 224, 7, 7], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 2240, 14, 14], f16), T([32, 2240, 14, 14], f16), T([2240], f16), T([2240], f16), T([2240], f16), T([2240], f32), T([2240], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2240, 14, 14], f16), T([32, 2240, 14, 14], f16), T([2240], f16), T([2240], f16), T([2240], f16), T([2240], f32), T([2240], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16), T([32, 2240, 7, 7], f16), T([2240], f16), T([2240], f16), T([2240], f16), T([2240], f32), T([2240], f32), False, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 24, 56, 56], f16), T([32, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 240, 14, 14], f16), T([32, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 240, 14, 14], f16), T([32, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 14, 14], f16), T([32, 240, 14, 14], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 240, 28, 28], f16), T([32, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 240, 28, 28], f16), T([32, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 240, 28, 28], f16), T([32, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2432, 14, 14], f16), T([32, 2432, 14, 14], f16), T([2432], f16), T([2432], f16), T([2432], f16), T([2432], f32), T([2432], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2432, 7, 7], f16), T([32, 2432, 7, 7], f16), T([2432], f16), T([2432], f16), T([2432], f16), T([2432], f32), T([2432], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16), T([32, 256, 1, 1], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16), T([32, 256, 1, 1], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16), T([32, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16), T([32, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 256, 28, 28], f16), T([32, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16), T([32, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 256, 28, 28], f16), T([32, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 256, 28, 28], f16), T([32, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16), T([32, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16), T([32, 256, 38, 38], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16), T([32, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16), T([32, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16), T([32, 256, 75, 75], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/dcgan","((T([32, 256, 8, 8], f16), T([32, 256, 8, 8], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2560, 7, 7], f16), T([32, 2560, 7, 7], f16), T([2560], f16), T([2560], f16), T([2560], f16), T([2560], f32), T([2560], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 2688, 7, 7], f16), T([32, 2688, 7, 7], f16), T([2688], f16), T([2688], f16), T([2688], f16), T([2688], f32), T([2688], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 316, 56, 56], f16), T([32, 316, 56, 56], f16), T([316], f16), T([316], f16), T([316], f16), T([316], f32), T([316], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 32, 1, 1], f16), T([32, 32, 1, 1], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 32, 1, 1], f16), T([32, 32, 1, 1], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16), T([32, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 32, 150, 150], f16), T([32, 32, 150, 150], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 320, 7, 7], f16), T([32, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 320, 7, 7], f16), T([32, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 336, 56, 56], f16), T([32, 336, 56, 56], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 356, 56, 56], f16), T([32, 356, 56, 56], f16), T([356], f16), T([356], f16), T([356], f16), T([356], f32), T([356], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 376, 56, 56], f16), T([32, 376, 56, 56], f16), T([376], f16), T([376], f16), T([376], f16), T([376], f32), T([376], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 40, 28, 28], f16), T([32, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 40, 28, 28], f16), T([32, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 40, 28, 28], f16), T([32, 40, 28, 28], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 400, 28, 28], f16), T([32, 400, 28, 28], f16), T([400], f16), T([400], f16), T([400], f16), T([400], f32), T([400], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 400, 56, 56], f16), T([32, 400, 56, 56], f16), T([400], f16), T([400], f16), T([400], f16), T([400], f32), T([400], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 14, 14], f16), T([32, 4096, 14, 14], f16), T([4096], f16), T([4096], f16), T([4096], f16), T([4096], f32), T([4096], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16), T([32, 4096, 7, 7], f16), T([4096], f16), T([4096], f16), T([4096], f16), T([4096], f32), T([4096], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16), T([32, 448, 28, 28], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 448, 56, 56], f16), T([32, 448, 56, 56], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 48, 112, 112], f16), T([32, 48, 112, 112], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 48, 56, 56], f16), T([32, 48, 56, 56], f16), T([48], f16), T([48], f16), T([48], f16), T([48], f32), T([48], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 480, 14, 14], f16), T([32, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 512, 14, 14], f16), T([32, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16), T([32, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 512, 14, 14], f16), T([32, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 512, 14, 14], f16), T([32, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16), T([32, 512, 16, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16), T([32, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16), T([32, 512, 32, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/dcgan","((T([32, 512, 4, 4], f16), T([32, 512, 4, 4], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16), T([32, 512, 56, 56], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16), T([32, 512, 7, 7], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 512, 8, 8], f16), T([32, 512, 8, 8], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16), T([32, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 576, 7, 7], f16), T([32, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 112, 112], f16), T([32, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16), T([32, 64, 128, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16), T([32, 64, 150, 150], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16), T([32, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16), T([32, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 14, 14], f16), T([32, 672, 14, 14], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 14, 14], f16), T([32, 672, 14, 14], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 672, 7, 7], f16), T([32, 672, 7, 7], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 672, 7, 7], f16), T([32, 672, 7, 7], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 704, 28, 28], f16), T([32, 704, 28, 28], f16), T([704], f16), T([704], f16), T([704], f16), T([704], f32), T([704], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 28, 28], f16), T([32, 72, 28, 28], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 72, 28, 28], f16), T([32, 72, 28, 28], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16), T([32, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16), T([32, 72, 56, 56], f16), T([72], f16), T([72], f16), T([72], f16), T([72], f32), T([72], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16), T([32, 728, 19, 19], f16), T([728], f16), T([728], f16), T([728], f16), T([728], f32), T([728], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16), T([32, 728, 38, 38], f16), T([728], f16), T([728], f16), T([728], f16), T([728], f32), T([728], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16), T([32, 768, 14, 14], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 768, 28, 28], f16), T([32, 768, 28, 28], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16), T([32, 768, 32, 32], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 80, 14, 14], f16), T([32, 80, 14, 14], f16), T([80], f16), T([80], f16), T([80], f16), T([80], f32), T([80], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 800, 14, 14], f16), T([32, 800, 14, 14], f16), T([800], f16), T([800], f16), T([800], f16), T([800], f32), T([800], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 800, 28, 28], f16), T([32, 800, 28, 28], f16), T([800], f16), T([800], f16), T([800], f16), T([800], f32), T([800], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 832, 28, 28], f16), T([32, 832, 28, 28], f16), T([832], f16), T([832], f16), T([832], f16), T([832], f32), T([832], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16), T([32, 896, 14, 14], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_regnet","((T([32, 896, 28, 28], f16), T([32, 896, 28, 28], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 896, 28, 28], f16), T([32, 896, 28, 28], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 96, 112, 112], f16), T([32, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mnasnet1_0","((T([32, 96, 14, 14], f16), T([32, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/timm_efficientnet","((T([32, 96, 56, 56], f16), T([32, 96, 56, 56], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dpn107","((T([32, 960, 28, 28], f16), T([32, 960, 28, 28], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v3_large","((T([32, 960, 7, 7], f16), T([32, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), False, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 1024, 14, 14], f16), T([4, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 1024, 7, 7], f16), T([4, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16), T([4, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16), T([4, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16), T([4, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16), T([4, 128, 7, 7], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 160, 28, 28], f16), T([4, 160, 28, 28], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 160, 56, 56], f16), T([4, 160, 56, 56], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 192, 28, 28], f16), T([4, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 192, 56, 56], f16), T([4, 192, 56, 56], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 224, 28, 28], f16), T([4, 224, 28, 28], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 224, 56, 56], f16), T([4, 224, 56, 56], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 256, 14, 14], f16), T([4, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 256, 28, 28], f16), T([4, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 256, 56, 56], f16), T([4, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 288, 14, 14], f16), T([4, 288, 14, 14], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 288, 28, 28], f16), T([4, 288, 28, 28], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 320, 14, 14], f16), T([4, 320, 14, 14], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 320, 28, 28], f16), T([4, 320, 28, 28], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 352, 14, 14], f16), T([4, 352, 14, 14], f16), T([352], f16), T([352], f16), T([352], f16), T([352], f32), T([352], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 352, 28, 28], f16), T([4, 352, 28, 28], f16), T([352], f16), T([352], f16), T([352], f16), T([352], f32), T([352], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 384, 14, 14], f16), T([4, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 384, 28, 28], f16), T([4, 384, 28, 28], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 416, 14, 14], f16), T([4, 416, 14, 14], f16), T([416], f16), T([416], f16), T([416], f16), T([416], f32), T([416], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 416, 28, 28], f16), T([4, 416, 28, 28], f16), T([416], f16), T([416], f16), T([416], f16), T([416], f32), T([416], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 448, 14, 14], f16), T([4, 448, 14, 14], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 448, 28, 28], f16), T([4, 448, 28, 28], f16), T([448], f16), T([448], f16), T([448], f16), T([448], f32), T([448], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 480, 14, 14], f16), T([4, 480, 14, 14], f16), T([480], f16), T([480], f16), T([480], f16), T([480], f32), T([480], f32), False, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 608, 14, 14], f16), T([4, 608, 14, 14], f16), T([608], f16), T([608], f16), T([608], f16), T([608], f32), T([608], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 608, 7, 7], f16), T([4, 608, 7, 7], f16), T([608], f16), T([608], f16), T([608], f16), T([608], f32), T([608], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 64, 112, 112], f16), T([4, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 64, 56, 56], f16), T([4, 64, 56, 56], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 640, 14, 14], f16), T([4, 640, 14, 14], f16), T([640], f16), T([640], f16), T([640], f16), T([640], f32), T([640], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 640, 7, 7], f16), T([4, 640, 7, 7], f16), T([640], f16), T([640], f16), T([640], f16), T([640], f32), T([640], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 672, 14, 14], f16), T([4, 672, 14, 14], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 672, 7, 7], f16), T([4, 672, 7, 7], f16), T([672], f16), T([672], f16), T([672], f16), T([672], f32), T([672], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 704, 14, 14], f16), T([4, 704, 14, 14], f16), T([704], f16), T([704], f16), T([704], f16), T([704], f32), T([704], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 704, 7, 7], f16), T([4, 704, 7, 7], f16), T([704], f16), T([704], f16), T([704], f16), T([704], f32), T([704], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 736, 14, 14], f16), T([4, 736, 14, 14], f16), T([736], f16), T([736], f16), T([736], f16), T([736], f32), T([736], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 736, 7, 7], f16), T([4, 736, 7, 7], f16), T([736], f16), T([736], f16), T([736], f16), T([736], f32), T([736], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 768, 14, 14], f16), T([4, 768, 14, 14], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 768, 7, 7], f16), T([4, 768, 7, 7], f16), T([768], f16), T([768], f16), T([768], f16), T([768], f32), T([768], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 800, 14, 14], f16), T([4, 800, 14, 14], f16), T([800], f16), T([800], f16), T([800], f16), T([800], f32), T([800], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 800, 7, 7], f16), T([4, 800, 7, 7], f16), T([800], f16), T([800], f16), T([800], f16), T([800], f32), T([800], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 832, 14, 14], f16), T([4, 832, 14, 14], f16), T([832], f16), T([832], f16), T([832], f16), T([832], f32), T([832], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 832, 7, 7], f16), T([4, 832, 7, 7], f16), T([832], f16), T([832], f16), T([832], f16), T([832], f32), T([832], f32), False, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 896, 14, 14], f16), T([4, 896, 14, 14], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 896, 7, 7], f16), T([4, 896, 7, 7], f16), T([896], f16), T([896], f16), T([896], f16), T([896], f32), T([896], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 928, 14, 14], f16), T([4, 928, 14, 14], f16), T([928], f16), T([928], f16), T([928], f16), T([928], f32), T([928], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 928, 7, 7], f16), T([4, 928, 7, 7], f16), T([928], f16), T([928], f16), T([928], f16), T([928], f32), T([928], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 96, 56, 56], f16), T([4, 96, 56, 56], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 960, 14, 14], f16), T([4, 960, 14, 14], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 960, 7, 7], f16), T([4, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/densenet121","((T([4, 992, 14, 14], f16), T([4, 992, 14, 14], f16), T([992], f16), T([992], f16), T([992], f16), T([992], f32), T([992], f32), False, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TorchBench/maml_omniglot","((T([5, 64, 11, 11], f16, stride=(7744, 1, 704, 64)), T([5, 64, 11, 11], f16, stride=(7744, 1, 704, 64)), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/maml_omniglot","((T([5, 64, 26, 26], f16, stride=(43264, 1, 1664, 64)), T([5, 64, 26, 26], f16, stride=(43264, 1, 1664, 64)), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/maml_omniglot","((T([5, 64, 3, 3], f16, stride=(576, 1, 192, 64)), T([5, 64, 3, 3], f16, stride=(576, 1, 192, 64)), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([6272, 1280], f16), T([6272, 1280], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([6272, 128], f16), T([6272, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([6272, 256], f16), T([6272, 256], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/levit_128","((T([6272, 512], f16), T([6272, 512], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16), T([64, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 1024, 16, 16], f16), T([64, 1024, 16, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 1024, 7, 7], f16), T([64, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 1024, 7, 7], f16), T([64, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 1024, 8, 8], f16), T([64, 1024, 8, 8], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([104], f16), T([104], f16), T([104], f16), T([104], f32), T([104], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([104], f16), T([104], f16), T([104], f16), T([104], f32), T([104], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16), T([64, 104, 14, 14], f16), T([104], f16), T([104], f16), T([104], f16), T([104], f32), T([104], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 104, 56, 56], f16), T([64, 104, 56, 56], f16), T([104], f16), T([104], f16), T([104], f16), T([104], f32), T([104], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 120, 56, 56], f16), T([64, 120, 56, 56], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 120, 56, 56], f16), T([64, 120, 56, 56], f16), T([120], f16), T([120], f16), T([120], f16), T([120], f32), T([120], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 128, 128, 128], f16), T([64, 128, 128, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 128, 128, 128], f16), T([64, 128, 128, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 128, 14, 14], f16), T([64, 128, 14, 14], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 128, 16, 16], f16), T([64, 128, 16, 16], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16), T([64, 128, 28, 28], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 128, 7, 7], f16), T([64, 128, 7, 7], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 1536, 7, 7], f16), T([64, 1536, 7, 7], f16), T([1536], f16), T([1536], f16), T([1536], f16), T([1536], f32), T([1536], f32), True, 0.001, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 160, 14, 14], f16), T([64, 160, 14, 14], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 160, 8, 8], f16), T([64, 160, 8, 8], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 192, 112, 112], f16), T([64, 192, 112, 112], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 192, 112, 112], f16), T([64, 192, 112, 112], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 192, 28, 28], f16), T([64, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 192, 56, 56], f16), T([64, 192, 56, 56], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 192, 56, 56], f16), T([64, 192, 56, 56], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 192, 56, 56], f16), T([64, 192, 56, 56], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16), T([64, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 28, 28], f16), T([64, 208, 28, 28], f16), T([208], f16), T([208], f16), T([208], f16), T([208], f32), T([208], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 56, 56], f16), T([64, 208, 56, 56], f16), T([208], f16), T([208], f16), T([208], f16), T([208], f32), T([208], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 208, 7, 7], f16), T([64, 208, 7, 7], f16), T([208], f16), T([208], f16), T([208], f16), T([208], f32), T([208], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 224, 28, 28], f16), T([64, 224, 28, 28], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 224, 56, 56], f16), T([64, 224, 56, 56], f16), T([224], f16), T([224], f16), T([224], f16), T([224], f32), T([224], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 24, 128, 128], f16), T([64, 24, 128, 128], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 28, 28], f16), T([64, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 240, 28, 28], f16), T([64, 240, 28, 28], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 240, 56, 56], f16), T([64, 240, 56, 56], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 240, 56, 56], f16), T([64, 240, 56, 56], f16), T([240], f16), T([240], f16), T([240], f16), T([240], f32), T([240], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 256, 14, 14], f16), T([64, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 256, 14, 14], f16), T([64, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 256, 14, 14], f16), T([64, 256, 14, 14], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 256, 28, 28], f16), T([64, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 256, 32, 32], f16), T([64, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 256, 32, 32], f16), T([64, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 32, 32], f16), T([64, 256, 32, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 256, 56, 56], f16), T([64, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 256, 64, 64], f16), T([64, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 256, 64, 64], f16), T([64, 256, 64, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 26, 56, 56], f16), T([64, 26, 56, 56], f16), T([26], f16), T([26], f16), T([26], f16), T([26], f32), T([26], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 264, 7, 7], f16), T([64, 264, 7, 7], f16), T([264], f16), T([264], f16), T([264], f16), T([264], f32), T([264], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 264, 7, 7], f16), T([64, 264, 7, 7], f16), T([264], f16), T([264], f16), T([264], f16), T([264], f32), T([264], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 288, 14, 14], f16), T([64, 288, 14, 14], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 288, 28, 28], f16), T([64, 288, 28, 28], f16), T([288], f16), T([288], f16), T([288], f16), T([288], f32), T([288], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/dla102","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/ecaresnet101d","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 32, 112, 112], f16), T([64, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 32, 128, 128], f16), T([64, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 32, 128, 128], f16), T([64, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/sebotnet33ts_256","((T([64, 32, 128, 128], f16), T([64, 32, 128, 128], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/cspdarknet53","((T([64, 32, 256, 256], f16), T([64, 32, 256, 256], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 320, 14, 14], f16), T([64, 320, 14, 14], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 320, 28, 28], f16), T([64, 320, 28, 28], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 336, 14, 14], f16), T([64, 336, 14, 14], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 336, 14, 14], f16), T([64, 336, 14, 14], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 336, 28, 28], f16), T([64, 336, 28, 28], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 336, 28, 28], f16), T([64, 336, 28, 28], f16), T([336], f16), T([336], f16), T([336], f16), T([336], f32), T([336], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 352, 14, 14], f16), T([64, 352, 14, 14], f16), T([352], f16), T([352], f16), T([352], f16), T([352], f32), T([352], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 352, 28, 28], f16), T([64, 352, 28, 28], f16), T([352], f16), T([352], f16), T([352], f16), T([352], f32), T([352], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 384, 14, 14], f16), T([64, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 384, 16, 16], f16), T([64, 384, 16, 16], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 384, 28, 28], f16), T([64, 384, 28, 28], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mobilevit_s","((T([64, 384, 32, 32], f16), T([64, 384, 32, 32], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/tf_mixnet_l","((T([64, 40, 56, 56], f16), T([64, 40, 56, 56], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 0.001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 40, 56, 56], f16), T([64, 40, 56, 56], f16), T([40], f16), T([40], f16), T([40], f16), T([40], f32), T([40], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 416, 14, 14], f16), T([64, 416, 14, 14], f16), T([416], f16), T([416], f16), T([416], f16), T([416], f32), T([416], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/res2net101_26w_4s","((T([64, 416, 14, 14], f16), T([64, 416, 14, 14], f16), T([416], f16), T([416], f16), T([416], f16), T([416], f32), T([416], f32), True, 1e-05, [True, True, True]), {})"]
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["aten.native_batch_norm_backward.default","TIMM/mixnet_l","((T([64, 960, 7, 7], f16), T([64, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 992, 14, 14], f16), T([64, 992, 14, 14], f16), T([992], f16), T([992], f16), T([992], f16), T([992], f32), T([992], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TIMM/densenet121","((T([64, 992, 7, 7], f16), T([64, 992, 7, 7], f16), T([992], f16), T([992], f16), T([992], f16), T([992], f32), T([992], f32), True, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 1024, 12, 16], f16), T([8, 1024, 12, 16], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 14, 14], f16), T([8, 1024, 14, 14], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 1024, 7, 7], f16), T([8, 1024, 7, 7], f16), T([1024], f16), T([1024], f16), T([1024], f16), T([1024], f32), T([1024], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 128, 24, 32], f16), T([8, 128, 24, 32], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 128, 48, 64], f16), T([8, 128, 48, 64], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 128, 56, 56], f16), T([8, 128, 56, 56], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 128, 96, 128], f16), T([8, 128, 96, 128], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 2048, 7, 7], f16), T([8, 2048, 7, 7], f16), T([2048], f16), T([2048], f16), T([2048], f16), T([2048], f32), T([2048], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 256, 12, 16], f16), T([8, 256, 12, 16], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 256, 24, 32], f16), T([8, 256, 24, 32], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 28, 28], f16), T([8, 256, 28, 28], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 256, 48, 64], f16), T([8, 256, 48, 64], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 256, 56, 56], f16), T([8, 256, 56, 56], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 32, 192, 256], f16), T([8, 32, 192, 256], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 32, 384, 512], f16), T([8, 32, 384, 512], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 512, 12, 16], f16), T([8, 512, 12, 16], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 14, 14], f16), T([8, 512, 14, 14], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 512, 24, 32], f16), T([8, 512, 24, 32], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 512, 28, 28], f16), T([8, 512, 28, 28], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/resnext50_32x4d","((T([8, 64, 112, 112], f16), T([8, 64, 112, 112], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 64, 192, 256], f16), T([8, 64, 192, 256], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/yolov3","((T([8, 64, 96, 128], f16), T([8, 64, 96, 128], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 0.0001, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16), T([96, 128, 16, 16], f16), T([128], f16), T([128], f16), T([128], f16), T([128], f32), T([128], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 1280, 7, 7], f16), T([96, 1280, 7, 7], f16), T([1280], f16), T([1280], f16), T([1280], f16), T([1280], f32), T([1280], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 144, 28, 28], f16), T([96, 144, 28, 28], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 144, 56, 56], f16), T([96, 144, 56, 56], f16), T([144], f16), T([144], f16), T([144], f16), T([144], f32), T([144], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 16, 112, 112], f16), T([96, 16, 112, 112], f16), T([16], f16), T([16], f16), T([16], f16), T([16], f32), T([16], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 160, 7, 7], f16), T([96, 160, 7, 7], f16), T([160], f16), T([160], f16), T([160], f16), T([160], f32), T([160], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 192, 14, 14], f16), T([96, 192, 14, 14], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 192, 28, 28], f16), T([96, 192, 28, 28], f16), T([192], f16), T([192], f16), T([192], f16), T([192], f32), T([192], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 24, 56, 56], f16), T([96, 24, 56, 56], f16), T([24], f16), T([24], f16), T([24], f16), T([24], f32), T([24], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16), T([96, 256, 8, 8], f16), T([256], f16), T([256], f16), T([256], f16), T([256], f32), T([256], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 32, 112, 112], f16), T([96, 32, 112, 112], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 32, 28, 28], f16), T([96, 32, 28, 28], f16), T([32], f16), T([32], f16), T([32], f16), T([32], f32), T([32], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 320, 7, 7], f16), T([96, 320, 7, 7], f16), T([320], f16), T([320], f16), T([320], f16), T([320], f32), T([320], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 384, 14, 14], f16), T([96, 384, 14, 14], f16), T([384], f16), T([384], f16), T([384], f16), T([384], f32), T([384], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16), T([96, 512, 4, 4], f16), T([512], f16), T([512], f16), T([512], f16), T([512], f32), T([512], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 576, 14, 14], f16), T([96, 576, 14, 14], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 576, 7, 7], f16), T([96, 576, 7, 7], f16), T([576], f16), T([576], f16), T([576], f16), T([576], f32), T([576], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 64, 14, 14], f16), T([96, 64, 14, 14], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16), T([96, 64, 32, 32], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/LearningToPaint","((T([96, 64, 64, 64], f16), T([96, 64, 64, 64], f16), T([64], f16), T([64], f16), T([64], f16), T([64], f32), T([64], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 96, 112, 112], f16), T([96, 96, 112, 112], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 96, 14, 14], f16), T([96, 96, 14, 14], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 96, 56, 56], f16), T([96, 96, 56, 56], f16), T([96], f16), T([96], f16), T([96], f16), T([96], f32), T([96], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_batch_norm_backward.default","TorchBench/mobilenet_v2","((T([96, 960, 7, 7], f16), T([96, 960, 7, 7], f16), T([960], f16), T([960], f16), T([960], f16), T([960], f32), T([960], f32), False, 1e-05, [True, True, True]), {})"]
["aten.native_group_norm.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([192], f16), T([192], f16), 64, 192, 784, 1, 1e-05), {})"]
["aten.native_group_norm.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([384], f16), T([384], f16), 64, 384, 196, 1, 1e-05), {})"]
["aten.native_group_norm.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), T([768], f16), T([768], f16), 64, 768, 49, 1, 1e-05), {})"]
["aten.native_group_norm.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([96], f16), T([96], f16), 64, 96, 3136, 1, 1e-05), {})"]
["aten.native_group_norm_backward.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16), T([64, 192, 28, 28], f16), T([64, 1], f16), T([64, 1], f16), T([192], f16), 64, 192, 784, 1, [True, True, True]), {})"]
["aten.native_group_norm_backward.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16), T([64, 384, 14, 14], f16), T([64, 1], f16), T([64, 1], f16), T([384], f16), 64, 384, 196, 1, [True, True, True]), {})"]
["aten.native_group_norm_backward.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16), T([64, 768, 7, 7], f16), T([64, 1], f16), T([64, 1], f16), T([768], f16), 64, 768, 49, 1, [True, True, True]), {})"]
["aten.native_group_norm_backward.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16), T([64, 96, 56, 56], f16), T([64, 1], f16), T([64, 1], f16), T([96], f16), 64, 96, 3136, 1, [True, True, True]), {})"]
["aten.native_layer_norm.default","HuggingFace/AllenaiLongformerBase","((T([1, 1024, 768], f16), [768], T([768], f16), T([768], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/BigBird","((T([1, 1024, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/GPTNeoForCausalLM","((T([1, 128, 2048], f16), [2048], T([2048], f16), T([2048], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/GPTNeoForSequenceClassification","((T([1, 128, 2048], f16), [2048], T([2048], f16), T([2048], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/ElectraForCausalLM","((T([1, 512, 128], f16), [128], T([128], f16), T([128], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/DebertaV2ForMaskedLM","((T([1, 512, 1536], f16), [1536], T([1536], f16), T([1536], f16), 1e-07), {})"]
["aten.native_layer_norm.default","HuggingFace/DebertaV2ForQuestionAnswering","((T([1, 512, 1536], f16), [1536], T([1536], f16), T([1536], f16), 1e-07), {})"]
["aten.native_layer_norm.default","HuggingFace/ElectraForCausalLM","((T([1, 512, 256], f16), [256], T([256], f16), T([256], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/CamemBert","((T([1, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/DistillGPT2","((T([1, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/GoogleFnet","((T([1, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/YituTechConvBert","((T([1, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","TorchBench/speech_transformer","((T([10, 204, 512], f16), [512], T([512], f16), T([512], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TorchBench/speech_transformer","((T([10, 22, 512], f16), [512], T([512], f16), T([512], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/tnt_s_patch16_224","((T([12544, 16, 24], f16, stride=(384, 1, 16)), [24], T([24], f16), T([24], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 196, 320], f16, stride=(62720, 1, 196)), [320], T([320], f16), T([320], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 197, 320], f16), [320], T([320], f16), T([320], f16), 1e-06), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 3136, 64], f16, stride=(200704, 1, 3136)), [64], T([64], f16), T([64], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 3137, 64], f16), [64], T([64], f16), T([64], f16), 1e-06), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 49, 512], f16, stride=(25088, 1, 49)), [512], T([512], f16), T([512], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 50, 512], f16), [512], T([512], f16), T([512], f16), 1e-06), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 784, 128], f16, stride=(100352, 1, 784)), [128], T([128], f16), T([128], f16), 1e-05), {})"]
["aten.native_layer_norm.default","TIMM/coat_lite_mini","((T([128, 785, 128], f16), [128], T([128], f16), T([128], f16), 1e-06), {})"]
["aten.native_layer_norm.default","HuggingFace/MBartForCausalLM","((T([16, 128, 1024], f16), [1024], T([1024], f16), T([1024], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), [512], T([512], f16), T([512], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/PLBartForCausalLM","((T([16, 128, 768], f16), [768], T([768], f16), T([768], f16), 1e-05), {})"]
["aten.native_layer_norm.default","HuggingFace/DistilBertForMaskedLM","((T([16, 128, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/LayoutLMForMaskedLM","((T([16, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 512, 768], f16), [768], T([768], f16), T([768], f16), 1e-12), {})"]
["aten.native_layer_norm.default","TIMM/cait_m36_384","((T([2, 1, 768], f16), [768], T([768], f16), T([768], f16), 1e-06), {})"]
["aten.native_layer_norm.default","HuggingFace/BartForConditionalGeneration","((T([2, 1024, 1024], f16), [1024], T([1024], f16), T([1024], f16), 1e-05), {})"]
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["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 3136, 64], f16, stride=(200768, 64, 1)), T([128, 3136, 64], f16, stride=(200704, 1, 3136)), [64], T([128, 3136, 1], f32), T([128, 3136, 1], f32), T([64], f16), T([64], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 3137, 64], f16), T([128, 3137, 64], f16), [64], T([128, 3137, 1], f32), T([128, 3137, 1], f32), T([64], f16), T([64], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 49, 512], f16, stride=(25600, 512, 1)), T([128, 49, 512], f16, stride=(25088, 1, 49)), [512], T([128, 49, 1], f32), T([128, 49, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 50, 512], f16), T([128, 50, 512], f16), [512], T([128, 50, 1], f32), T([128, 50, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 784, 128], f16, stride=(100480, 128, 1)), T([128, 784, 128], f16, stride=(100352, 1, 784)), [128], T([128, 784, 1], f32), T([128, 784, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/coat_lite_mini","((T([128, 785, 128], f16), T([128, 785, 128], f16), [128], T([128, 785, 1], f32), T([128, 785, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/MBartForCausalLM","((T([16, 128, 1024], f16), T([16, 128, 1024], f16), [1024], T([16, 128, 1], f32), T([16, 128, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), T([16, 128, 512], f16), [512], T([16, 128, 1], f32), T([16, 128, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/DistilBertForMaskedLM","((T([16, 128, 768], f16), T([16, 128, 768], f16), [768], T([16, 128, 1], f32), T([16, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/PLBartForCausalLM","((T([16, 128, 768], f16), T([16, 128, 768], f16), [768], T([16, 128, 1], f32), T([16, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/LayoutLMForMaskedLM","((T([16, 512, 768], f16), T([16, 512, 768], f16), [768], T([16, 512, 1], f32), T([16, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 512, 768], f16), T([16, 512, 768], f16), [768], T([16, 512, 1], f32), T([16, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/cait_m36_384","((T([2, 1, 768], f16), T([2, 1, 768], f16), [768], T([2, 1, 1], f32), T([2, 1, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BartForConditionalGeneration","((T([2, 1024, 1024], f16), T([2, 1024, 1024], f16), [1024], T([2, 1024, 1], f32), T([2, 1024, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/hf_BigBird","((T([2, 1024, 768], f16), T([2, 1024, 768], f16), [768], T([2, 1024, 1], f32), T([2, 1024, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/hf_Longformer","((T([2, 1024, 768], f16), T([2, 1024, 768], f16), [768], T([2, 1024, 1], f32), T([2, 1024, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/M2M100ForConditionalGeneration","((T([2, 128, 1024], f16), T([2, 128, 1024], f16), [1024], T([2, 128, 1], f32), T([2, 128, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/MegatronBertForCausalLM","((T([2, 128, 1024], f16), T([2, 128, 1024], f16), [1024], T([2, 128, 1], f32), T([2, 128, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/XGLMForCausalLM","((T([2, 128, 1024], f16), T([2, 128, 1024], f16), [1024], T([2, 128, 1], f32), T([2, 128, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/AlbertForMaskedLM","((T([2, 512, 128], f16), T([2, 512, 128], f16), [128], T([2, 512, 1], f32), T([2, 512, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 128], f16), T([2, 512, 128], f16), [128], T([2, 512, 1], f32), T([2, 512, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/AlbertForMaskedLM","((T([2, 512, 4096], f16), T([2, 512, 4096], f16), [4096], T([2, 512, 1], f32), T([2, 512, 1], f32), T([4096], f16), T([4096], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 4096], f16), T([2, 512, 4096], f16), [4096], T([2, 512, 1], f32), T([2, 512, 1], f32), T([4096], f16), T([4096], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/cait_m36_384","((T([2, 576, 768], f16), T([2, 576, 768], f16, stride=(442368, 1, 576)), [768], T([2, 576, 1], f32), T([2, 576, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/cait_m36_384","((T([2, 577, 768], f16), T([2, 577, 768], f16), [768], T([2, 577, 1], f32), T([2, 577, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/mobilevit_s","((T([256, 16, 240], f16), T([256, 16, 240], f16), [240], T([256, 16, 1], f32), T([256, 16, 1], f32), T([240], f16), T([240], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/mobilevit_s","((T([256, 256, 144], f16), T([256, 256, 144], f16), [144], T([256, 256, 1], f32), T([256, 256, 1], f32), T([144], f16), T([144], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 31, 512], f16), T([256, 31, 512], f16), [512], T([256, 31, 1], f32), T([256, 31, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 33, 512], f16), T([256, 33, 512], f16), [512], T([256, 33, 1], f32), T([256, 33, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/mobilevit_s","((T([256, 64, 192], f16), T([256, 64, 192], f16), [192], T([256, 64, 1], f32), T([256, 64, 1], f32), T([192], f16), T([192], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 1, 1, 1024], f16), T([32, 1, 1, 1024], f16), [1024], T([32, 1, 1, 1], f32), T([32, 1, 1, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/DistilBertForQuestionAnswering","((T([32, 128, 768], f16), T([32, 128, 768], f16), [768], T([32, 128, 1], f32), T([32, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 14, 14, 512], f16), T([32, 14, 14, 512], f16), [512], T([32, 14, 14, 1], f32), T([32, 14, 14, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 196, 320], f16), T([32, 196, 320], f16), [320], T([32, 196, 1], f32), T([32, 196, 1], f32), T([320], f16), T([320], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 196, 320], f16, stride=(62720, 1, 196)), T([32, 196, 320], f16, stride=(62720, 1, 196)), [320], T([32, 196, 1], f32), T([32, 196, 1], f32), T([320], f16), T([320], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 28, 28, 256], f16), T([32, 28, 28, 256], f16), [256], T([32, 28, 28, 1], f32), T([32, 28, 28, 1], f32), T([256], f16), T([256], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 3136, 64], f16), T([32, 3136, 64], f16), [64], T([32, 3136, 1], f32), T([32, 3136, 1], f32), T([64], f16), T([64], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 3136, 64], f16, stride=(200704, 1, 3136)), T([32, 3136, 64], f16, stride=(200704, 1, 3136)), [64], T([32, 3136, 1], f32), T([32, 3136, 1], f32), T([64], f16), T([64], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 49, 128], f16), T([32, 49, 128], f16), [128], T([32, 49, 1], f32), T([32, 49, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 49, 320], f16), T([32, 49, 320], f16), [320], T([32, 49, 1], f32), T([32, 49, 1], f32), T([320], f16), T([320], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 49, 512], f16), T([32, 49, 512], f16), [512], T([32, 49, 1], f32), T([32, 49, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 49, 512], f16), T([32, 49, 512], f16, stride=(25088, 1, 49)), [512], T([32, 49, 1], f32), T([32, 49, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 49, 64], f16), T([32, 49, 64], f16), [64], T([32, 49, 1], f32), T([32, 49, 1], f32), T([64], f16), T([64], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 56, 56, 128], f16), T([32, 56, 56, 128], f16), [128], T([32, 56, 56, 1], f32), T([32, 56, 56, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 56, 56, 128], f16), T([32, 56, 56, 128], f16, stride=(401408, 56, 1, 3136)), [128], T([32, 56, 56, 1], f32), T([32, 56, 56, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/convnext_base","((T([32, 7, 7, 1024], f16), T([32, 7, 7, 1024], f16), [1024], T([32, 7, 7, 1], f32), T([32, 7, 7, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 784, 128], f16), T([32, 784, 128], f16), [128], T([32, 784, 1], f32), T([32, 784, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/twins_pcpvt_base","((T([32, 784, 128], f16, stride=(100352, 1, 784)), T([32, 784, 128], f16, stride=(100352, 1, 784)), [128], T([32, 784, 1], f32), T([32, 784, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BartForCausalLM","((T([4, 1024, 1024], f16), T([4, 1024, 1024], f16), [1024], T([4, 1024, 1], f32), T([4, 1024, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/GPT2ForSequenceClassification","((T([4, 1024, 768], f16), T([4, 1024, 768], f16), [768], T([4, 1024, 1], f32), T([4, 1024, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/PegasusForConditionalGeneration","((T([4, 128, 1024], f16), T([4, 128, 1024], f16), [1024], T([4, 128, 1], f32), T([4, 128, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/OPTForCausalLM","((T([4, 128, 768], f16), T([4, 128, 768], f16), [768], T([4, 128, 1], f32), T([4, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/RobertaForCausalLM","((T([4, 128, 768], f16), T([4, 128, 768], f16), [768], T([4, 128, 1], f32), T([4, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f16), T([4, 512, 768], f16), [768], T([4, 512, 1], f32), T([4, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/hf_Bart","((T([4, 512, 768], f16), T([4, 512, 768], f16), [768], T([4, 512, 1], f32), T([4, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/hf_Bert","((T([4, 512, 768], f16), T([4, 512, 768], f16), [768], T([4, 512, 1], f32), T([4, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/hf_GPT2","((T([4, 512, 768], f16), T([4, 512, 768], f16), [768], T([4, 512, 1], f32), T([4, 512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/XLNetLMHeadModel","((T([512, 4, 1024], f16), T([512, 4, 1024], f16), [1024], T([512, 4, 1], f32), T([512, 4, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/XLNetLMHeadModel","((T([512, 4, 1024], f16, stride=(1024, 524288, 1)), T([512, 4, 1024], f16), [1024], T([512, 4, 1], f32), T([512, 4, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/OPTForCausalLM","((T([512, 768], f16), T([512, 768], f16), [768], T([512, 1], f32), T([512, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/fastNLP_Bert","((T([6, 476, 768], f16), T([6, 476, 768], f16), [768], T([6, 476, 1], f32), T([6, 476, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/pit_b_224","((T([64, 1, 1024], f16), T([64, 1, 1024], f16, stride=(66560, 1024, 1)), [1024], T([64, 1, 1], f32), T([64, 1, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/crossvit_9_240","((T([64, 1, 128], f16), T([64, 1, 128], f16), [128], T([64, 1, 1], f32), T([64, 1, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/crossvit_9_240","((T([64, 1, 128], f16), T([64, 1, 128], f16, stride=(51328, 128, 1)), [128], T([64, 1, 1], f32), T([64, 1, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/jx_nest_base","((T([64, 1, 196, 512], f16), T([64, 1, 196, 512], f16), [512], T([64, 1, 196, 1], f32), T([64, 1, 196, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/crossvit_9_240","((T([64, 1, 256], f16), T([64, 1, 256], f16), [256], T([64, 1, 1], f32), T([64, 1, 1], f32), T([256], f16), T([256], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/crossvit_9_240","((T([64, 1, 256], f16), T([64, 1, 256], f16, stride=(50432, 256, 1)), [256], T([64, 1, 1], f32), T([64, 1, 1], f32), T([256], f16), T([256], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/volo_d1_224","((T([64, 1, 384], f16), T([64, 1, 384], f16), [384], T([64, 1, 1], f32), T([64, 1, 1], f32), T([384], f16), T([384], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/Speech2Text2ForCausalLM","((T([64, 128, 256], f16), T([64, 128, 256], f16), [256], T([64, 128, 1], f32), T([64, 128, 1], f32), T([256], f16), T([256], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BlenderbotSmallForCausalLM","((T([64, 128, 512], f16), T([64, 128, 512], f16), [512], T([64, 128, 1], f32), T([64, 128, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([64, 128, 512], f16), T([64, 128, 512], f16), [512], T([64, 128, 1], f32), T([64, 128, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BertForMaskedLM","((T([64, 128, 768], f16), T([64, 128, 768], f16), [768], T([64, 128, 1], f32), T([64, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/BertForQuestionAnswering","((T([64, 128, 768], f16), T([64, 128, 768], f16), [768], T([64, 128, 1], f32), T([64, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","HuggingFace/RobertaForQuestionAnswering","((T([64, 128, 768], f16), T([64, 128, 768], f16), [768], T([64, 128, 1], f32), T([64, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/volo_d1_224","((T([64, 14, 14, 384], f16), T([64, 14, 14, 384], f16, stride=(75264, 14, 1, 196)), [384], T([64, 14, 14, 1], f32), T([64, 14, 14, 1], f32), T([384], f16), T([384], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/jx_nest_base","((T([64, 14, 14, 512], f16, stride=(100352, 14, 1, 196)), T([64, 14, 14, 512], f16), [512], T([64, 14, 14, 1], f32), T([64, 14, 14, 1], f32), T([512], f16), T([512], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/jx_nest_base","((T([64, 16, 196, 128], f16), T([64, 16, 196, 128], f16), [128], T([64, 16, 196, 1], f32), T([64, 16, 196, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
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["aten.native_layer_norm_backward.default","TIMM/swin_base_patch4_window7_224","((T([64, 3136, 128], f16), T([64, 3136, 128], f16, stride=(401408, 1, 3136)), [128], T([64, 3136, 1], f32), T([64, 3136, 1], f32), T([128], f16), T([128], f16), [True, True, True]), {})"]
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["aten.native_layer_norm_backward.default","HuggingFace/ElectraForQuestionAnswering","((T([64, 512, 256], f16), T([64, 512, 256], f16), [256], T([64, 512, 1], f32), T([64, 512, 1], f32), T([256], f16), T([256], f16), [True, True, True]), {})"]
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["aten.native_layer_norm_backward.default","TIMM/pit_b_224","((T([64, 65, 1024], f16), T([64, 65, 1024], f16), [1024], T([64, 65, 1], f32), T([64, 65, 1], f32), T([1024], f16), T([1024], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TIMM/beit_base_patch16_224","((T([64, 768], f16), T([64, 768], f16), [768], T([64, 1], f32), T([64, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
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["aten.native_layer_norm_backward.default","HuggingFace/PLBartForConditionalGeneration","((T([8, 128, 768], f16), T([8, 128, 768], f16), [768], T([8, 128, 1], f32), T([8, 128, 1], f32), T([768], f16), T([768], f16), [True, True, True]), {})"]
["aten.native_layer_norm_backward.default","TorchBench/timm_vision_transformer","((T([8, 197, 384], f16), T([8, 197, 384], f16), [384], T([8, 197, 1], f32), T([8, 197, 1], f32), T([384], f16), T([384], f16), [True, True, True]), {})"]
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["aten.ne.Scalar","HuggingFace/AllenaiLongformerBase","((T([1, 1024], f16), 0), {})"]
["aten.ne.Scalar","HuggingFace/AllenaiLongformerBase","((T([1, 1024], i64), 1), {})"]
["aten.ne.Scalar","HuggingFace/GPTNeoForSequenceClassification","((T([1, 128], i64), 0), {})"]
["aten.ne.Scalar","HuggingFace/CamemBert","((T([1, 512], i64), 1), {})"]
["aten.ne.Scalar","TorchBench/speech_transformer","((T([10, 22], i64), 2), {})"]
["aten.ne.Scalar","TorchBench/hf_Longformer","((T([2, 1024], f16), 0), {})"]
["aten.ne.Scalar","TorchBench/hf_Longformer","((T([2, 1024], i64), 1), {})"]
["aten.ne.Scalar","HuggingFace/M2M100ForConditionalGeneration","((T([2, 128], i64), 1), {})"]
["aten.ne.Scalar","HuggingFace/XGLMForCausalLM","((T([2, 128], i64), 1), {})"]
["aten.ne.Scalar","TorchBench/speech_transformer","((T([21], i64), -1), {})"]
["aten.ne.Scalar","TorchBench/attention_is_all_you_need_pytorch","((T([256, 31], i64, stride=(1, 256)), 1), {})"]
["aten.ne.Scalar","TorchBench/attention_is_all_you_need_pytorch","((T([256, 33], i64, stride=(1, 256)), 1), {})"]
["aten.ne.Scalar","HuggingFace/GPT2ForSequenceClassification","((T([4, 1024], i64), 0), {})"]
["aten.ne.Scalar","HuggingFace/RobertaForCausalLM","((T([4, 128], i64), 0), {})"]
["aten.ne.Scalar","TorchBench/fastNLP_Bert","((T([6, 474], i64), 0), {})"]
["aten.ne.Scalar","HuggingFace/RobertaForQuestionAnswering","((T([64, 128], i64), 0), {})"]
["aten.ne.Scalar","HuggingFace/Speech2Text2ForCausalLM","((T([64, 128], i64), 1), {})"]
["aten.ne.Scalar","HuggingFace/MBartForConditionalGeneration","((T([8, 128], i64), 1), {})"]
["aten.ne.Scalar","HuggingFace/PLBartForConditionalGeneration","((T([8, 128], i64), 1), {})"]
["aten.neg.default","TorchBench/vision_maskrcnn","((T([0, 91], f16),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16),), {})"]
["aten.neg.default","TorchBench/BERT_pytorch","((T([16, 128, 768], f16),), {})"]
["aten.neg.default","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)),), {})"]
["aten.neg.default","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)),), {})"]
["aten.neg.default","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)),), {})"]
["aten.neg.default","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f32),), {})"]
["aten.neg.default","HuggingFace/DebertaForQuestionAnswering","((T([4, 512, 768], f32),), {})"]
["aten.neg.default","TorchBench/timm_efficientdet","((T([5000], f32, stride=(4,)),), {})"]
["aten.neg.default","TorchBench/Super_SloMo","((T([6, 1, 352, 352], f16),), {})"]
["aten.neg.default","TorchBench/Super_SloMo","((T([6, 2, 351, 352], f16),), {})"]
["aten.neg.default","TorchBench/Super_SloMo","((T([6, 2, 352, 351], f16),), {})"]
["aten.neg.default","TorchBench/Super_SloMo","((T([6, 3, 352, 352], f16),), {})"]
["aten.neg.default","TorchBench/fastNLP_Bert","((T([6, 476, 3072], f16),), {})"]
["aten.neg.default","TIMM/poolformer_m36","((T([64, 192, 28, 28], f16),), {})"]
["aten.neg.default","TorchBench/tts_angular","((T([64, 256], f16, stride=(0, 0)),), {})"]
["aten.neg.default","TIMM/poolformer_m36","((T([64, 384, 14, 14], f16),), {})"]
["aten.neg.default","TIMM/poolformer_m36","((T([64, 768, 7, 7], f16),), {})"]
["aten.neg.default","TIMM/poolformer_m36","((T([64, 96, 56, 56], f16),), {})"]
["aten.neg.default","TorchBench/Super_SloMo","((T([6], f16),), {})"]
["aten.new_empty.default","TorchBench/vision_maskrcnn","((T([0, 1, 30, 30], f16), [0, 1, 427, 640]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TorchBench/vision_maskrcnn","((T([0, 1, 30, 30], f16), [0, 1, 459, 640]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TorchBench/vision_maskrcnn","((T([0, 1, 30, 30], f16), [0, 1, 612, 612]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TorchBench/vision_maskrcnn","((T([0, 1, 30, 30], f16), [0, 1, 640, 443]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","HuggingFace/AllenaiLongformerBase","((T([1, 3, 512, 513], f16), [1, 4, 256, 513]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","HuggingFace/AllenaiLongformerBase","((T([12, 3, 512, 513], f16), [12, 4, 256, 513]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TorchBench/hf_Longformer","((T([2, 3, 512, 513], f16), [2, 4, 256, 513]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TorchBench/hf_Longformer","((T([24, 3, 512, 513], f16), [24, 4, 256, 513]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/jx_nest_base","((T([64, 1, 196, 512], f16), [64, 1, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/jx_nest_base","((T([64, 16, 196, 128], f16), [64, 1, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/swin_base_patch4_window7_224","((T([64, 196, 512], f16), [64, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/swin_base_patch4_window7_224","((T([64, 3136, 128], f16), [64, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/jx_nest_base","((T([64, 4, 196, 256], f16), [64, 1, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/swin_base_patch4_window7_224","((T([64, 49, 1024], f16), [64, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty.default","TIMM/swin_base_patch4_window7_224","((T([64, 784, 256], f16), [64, 1, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda', 'pin_memory': False})"]
["aten.new_empty_strided.default","TorchBench/pytorch_stargan","((T([1, 1024, 128, 128], f16), [1, 1024, 128, 128], [16777216, 16384, 128, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 128, 128, 128], f16), [1, 128, 128, 128], [2097152, 16384, 128, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/pytorch_stargan","((T([1, 2048, 64, 64], f16), [1, 2048, 64, 64], [8388608, 4096, 64, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16), [1, 256, 64, 64], [1048576, 4096, 64, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/pytorch_stargan","((T([1, 4096, 32, 32], f16), [1, 4096, 32, 32], [4194304, 1024, 32, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/fastNLP_Bert","((T([1, 6, 474, 768], f16), [1, 6, 474, 768], [2184192, 364032, 768, 1]), {})"]
["aten.new_empty_strided.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16), [1, 64, 256, 256], [4194304, 65536, 256, 1]), {})"]
["aten.new_empty_strided.default","HuggingFace/XLNetLMHeadModel","((T([1024, 16, 64], f16, stride=(1, 1024, 16384)), [1024, 16, 64], [1024, 64, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})"]
["aten.new_empty_strided.default","TIMM/convnext_base","((T([1024, 512, 2, 2], f16, stride=(2048, 1, 1024, 512)), [1024, 512, 2, 2], [2048, 4, 2, 1]), {'dtype': f16, 'layout': torch.strided, 'device': 'cuda'})"]
["aten.new_empty_strided.default","HuggingFace/AllenaiLongformerBase","((T([1024, 768], f16), [1024, 768], [768, 1]), {})"]
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["aten.nll_loss_forward.default","TIMM/poolformer_m36","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/res2net101_26w_4s","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/sebotnet33ts_256","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/swin_base_patch4_window7_224","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/tf_mixnet_l","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/tnt_s_patch16_224","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/vit_base_patch16_224","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","TIMM/volo_d1_224","((T([64, 1000], f16), T([64], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","HuggingFace/BertForQuestionAnswering","((T([64, 128], f16), T([64], i64), None, 1, 128), {})"]
["aten.nll_loss_forward.default","HuggingFace/RobertaForQuestionAnswering","((T([64, 128], f16), T([64], i64), None, 1, 128), {})"]
["aten.nll_loss_forward.default","HuggingFace/ElectraForQuestionAnswering","((T([64, 512], f16), T([64], i64), None, 1, 512), {})"]
["aten.nll_loss_forward.default","HuggingFace/MegatronBertForQuestionAnswering","((T([8, 128], f16), T([8], i64), None, 1, 128), {})"]
["aten.nll_loss_forward.default","HuggingFace/Speech2Text2ForCausalLM","((T([8192, 10000], f16), T([8192], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","HuggingFace/BertForMaskedLM","((T([8192, 30522], f16), T([8192], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","HuggingFace/LayoutLMForMaskedLM","((T([8192, 30522], f16), T([8192], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","HuggingFace/BlenderbotSmallForCausalLM","((T([8192, 50265], f16), T([8192], i64), None, 1, -100), {})"]
["aten.nll_loss_forward.default","HuggingFace/BlenderbotSmallForConditionalGeneration","((T([8192, 50265], f16), T([8192], i64), None, 1, -100), {})"]
["aten.nonzero.default","TorchBench/vision_maskrcnn","((T([0], b8),), {})"]
["aten.nonzero.default","TorchBench/vision_maskrcnn","((T([5000], b8),), {})"]
["aten.norm.ScalarOpt_dim","TorchBench/tts_angular","((T([64, 256], f16, stride=(12800, 1)), 2, [1], True), {})"]
["aten.pow.Scalar","HuggingFace/XLNetLMHeadModel","((10000, T([512], f32)), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/BigBird","((T([1, 1024, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/BigBird","((T([1, 1024, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/BigBird","((T([1, 1024, 768], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/BigBird","((T([1, 1024, 768], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPTNeoForCausalLM","((T([1, 128, 8192], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPTNeoForSequenceClassification","((T([1, 128, 8192], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPTNeoForCausalLM","((T([1, 128, 8192], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPTNeoForSequenceClassification","((T([1, 128, 8192], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DistillGPT2","((T([1, 512, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GoogleFnet","((T([1, 512, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DistillGPT2","((T([1, 512, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GoogleFnet","((T([1, 512, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GoogleFnet","((T([1, 512, 768], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GoogleFnet","((T([1, 512, 768], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_BigBird","((T([2, 1024, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_BigBird","((T([2, 1024, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_BigBird","((T([2, 1024, 768], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_BigBird","((T([2, 1024, 768], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForMaskedLM","((T([2, 512, 128], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForMaskedLM","((T([2, 512, 128], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForMaskedLM","((T([2, 512, 16384], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 16384], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForMaskedLM","((T([2, 512, 16384], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 16384], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","TIMM/convnext_base","((T([32, 1, 14, 14], f16), 3), {})"]
["aten.pow.Tensor_Scalar","TIMM/convnext_base","((T([32, 1, 28, 28], f16), 3), {})"]
["aten.pow.Tensor_Scalar","TIMM/convnext_base","((T([32, 1, 56, 56], f16), 3), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPT2ForSequenceClassification","((T([4, 1024, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/GPT2ForSequenceClassification","((T([4, 1024, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_GPT2","((T([4, 512, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_GPT2","((T([4, 512, 3072], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f32), 1.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DebertaForQuestionAnswering","((T([4, 512, 768], f32), 1.0), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DebertaForMaskedLM","((T([4, 512, 768], f32), 2), {})"]
["aten.pow.Tensor_Scalar","HuggingFace/DebertaForQuestionAnswering","((T([4, 512, 768], f32), 2), {})"]
["aten.pow.Tensor_Scalar","TorchBench/fastNLP_Bert","((T([6, 476, 3072], f16), 2), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_Albert","((T([8, 512, 128], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_Albert","((T([8, 512, 128], f16), 3.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_Albert","((T([8, 512, 3072], f16), 2.0), {})"]
["aten.pow.Tensor_Scalar","TorchBench/hf_Albert","((T([8, 512, 3072], f16), 3.0), {})"]
["aten.reciprocal.default","HuggingFace/XLNetLMHeadModel","((T([512], f32),), {})"]
["aten.reciprocal.default","TorchBench/vision_maskrcnn","((T([], f32),), {})"]
["aten.reflection_pad2d.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16), [1, 1, 1, 1]), {})"]
["aten.reflection_pad2d.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 3, 256, 256], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d.default","TorchBench/Background_Matting","((T([3, 1, 512, 512], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), [1, 1, 1, 1]), {})"]
["aten.reflection_pad2d.default","TorchBench/Background_Matting","((T([3, 3, 512, 512], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d.default","TorchBench/Background_Matting","((T([3, 4, 512, 512], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), [3, 3, 3, 3]), {})"]
["aten.reflection_pad2d_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 66, 66], f16), T([1, 256, 64, 64], f16), [1, 1, 1, 1]), {})"]
["aten.reflection_pad2d_backward.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 262, 262], f16), T([1, 64, 256, 256], f16), [3, 3, 3, 3]), {})"]
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["aten.relu.default","TorchBench/vision_maskrcnn","((T([0, 1024], f16),), {})"]
["aten.relu.default","TorchBench/speech_transformer","((T([10, 204, 2048], f16),), {})"]
["aten.relu.default","TorchBench/speech_transformer","((T([10, 22, 2048], f16),), {})"]
["aten.relu.default","TorchBench/fambench_dlrm","((T([1024, 1500], f16),), {})"]
["aten.relu.default","TorchBench/fambench_dlrm","((T([1024, 192], f16),), {})"]
["aten.relu.default","TorchBench/fambench_dlrm","((T([1024, 4000], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16),), {})"]
["aten.relu.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16),), {})"]
["aten.relu.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16),), {})"]
["aten.relu.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16),), {})"]
["aten.relu.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16),), {})"]
["aten.relu.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 1008, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 108, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 1080, 42, 42], f16),), {})"]
["aten.relu.default","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 1344, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 168, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 2016, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 216, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 2160, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 2688, 11, 11], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 270, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 336, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 4032, 11, 11], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 42, 165, 165], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 432, 42, 42], f16),), {})"]
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["aten.relu.default","TIMM/pnasnet5large","((T([16, 54, 165, 165], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 540, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 672, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 84, 83, 83], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 864, 21, 21], f16),), {})"]
["aten.relu.default","TIMM/nasnetalarge","((T([16, 96, 165, 165], f16),), {})"]
["aten.relu.default","TIMM/pnasnet5large","((T([16, 96, 165, 165], f16),), {})"]
["aten.relu.default","HuggingFace/M2M100ForConditionalGeneration","((T([2, 128, 4096], f16),), {})"]
["aten.relu.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 31, 2048], f16),), {})"]
["aten.relu.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 33, 2048], f16),), {})"]
["aten.relu.default","TorchBench/timm_efficientdet","((T([2], f16),), {})"]
["aten.relu.default","TorchBench/pytorch_struct","((T([30, 256], f16),), {})"]
["aten.relu.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16),), {})"]
["aten.relu.default","HuggingFace/MobileBertForQuestionAnswering","((T([32, 128, 512], f16),), {})"]
["aten.relu.default","TorchBench/mobilenet_v3_large","((T([32, 168, 1, 1], f16),), {})"]
["aten.relu.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16),), {})"]
["aten.relu.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16),), {})"]
["aten.relu.default","TorchBench/mobilenet_v3_large","((T([32, 24, 1, 1], f16),), {})"]
["aten.relu.default","TorchBench/mobilenet_v3_large","((T([32, 240, 1, 1], f16),), {})"]
["aten.relu.default","TIMM/gluon_xception65","((T([32, 256, 38, 38], f16),), {})"]
["aten.relu.default","TorchBench/mobilenet_v3_large","((T([32, 32, 1, 1], f16),), {})"]
["aten.relu.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16),), {})"]
["aten.relu.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16),), {})"]
["aten.relu.default","TIMM/convmixer_768_32","((T([32, 768, 32, 32], f16),), {})"]
["aten.relu.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16),), {})"]
["aten.relu.default","TorchBench/timm_efficientdet","((T([3], f16),), {})"]
["aten.relu.default","HuggingFace/OPTForCausalLM","((T([512, 3072], f16),), {})"]
["aten.relu.default","HuggingFace/Speech2Text2ForCausalLM","((T([64, 128, 2048], f16),), {})"]
["aten.relu.default","TorchBench/LearningToPaint","((T([96, 128, 16, 16], f16),), {})"]
["aten.relu.default","TorchBench/LearningToPaint","((T([96, 256, 8, 8], f16),), {})"]
["aten.relu.default","TorchBench/LearningToPaint","((T([96, 512, 4, 4], f16),), {})"]
["aten.relu.default","TorchBench/LearningToPaint","((T([96, 64, 32, 32], f16),), {})"]
["aten.relu.default","TorchBench/LearningToPaint","((T([96, 64, 64, 64], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([0, 256, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([0, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 128, 128, 128], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 128, 160, 239], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 128, 320, 479], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 256, 160, 239], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 256, 64, 64], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 256, 80, 119], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 512, 40, 59], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 512, 80, 119], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_CycleGAN_and_pix2pix","((T([1, 64, 256, 256], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 64, 320, 479], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_unet","((T([1, 64, 640, 959], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 1024, 4, 4], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 120, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dm_nfnet_f0","((T([128, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/nfnet_l0","((T([128, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_nfnet","((T([128, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 128, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/resnet18","((T([128, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 128, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 1280, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 1280, 4, 4], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 1280, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 1280, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 14, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 144, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 144, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 144, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 144, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 152, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 160, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 168, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 168, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 168, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 19, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16),), {})"]
["aten.relu_.default","TorchBench/alexnet","((T([128, 192, 27, 27], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 192, 71, 71], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 192, 71, 71], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 192, 71, 71], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 1920, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 1984, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 20, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 224, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 224, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 24, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 24, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 24, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 240, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 240, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 240, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 240, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 240, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 25, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/alexnet","((T([128, 256, 13, 13], f16),), {})"]
["aten.relu_.default","TIMM/resnet18","((T([128, 256, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 256, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 256, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 256, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 256, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 2560, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 288, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 288, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 30, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/lcnet_050","((T([128, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/visformer_small","((T([128, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 32, 128, 128], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 32, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 32, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 32, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 32, 149, 149], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 32, 149, 149], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 32, 149, 149], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 32, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 32, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 32, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 32, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 32, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 320, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 320, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 320, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 36, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 368, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/nfnet_l0","((T([128, 384, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/alexnet","((T([128, 384, 13, 13], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 384, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 384, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 384, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 384, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16),), {})"]
["aten.relu_.default","TorchBench/alexnet","((T([128, 4096], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 42, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 448, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 448, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 448, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 47, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 48, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 48, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 48, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 48, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 48, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 48, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 480, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 512, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/resnet18","((T([128, 512, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 53, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 56, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 576, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 576, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 576, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 58, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 6, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/lcnet_050","((T([128, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/nfnet_l0","((T([128, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/resnet18","((T([128, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 64, 128, 128], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 64, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 64, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 64, 147, 147], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/res2next50","((T([128, 64, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 64, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 64, 35, 35], f16),), {})"]
["aten.relu_.default","TorchBench/alexnet","((T([128, 64, 55, 55], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/resnet18","((T([128, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/botnet26t_256","((T([128, 64, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/gernet_l","((T([128, 640, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 672, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 672, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 70, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mnasnet_100","((T([128, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mobilenetv3_large_100","((T([128, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/spnasnet_100","((T([128, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 75, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dm_nfnet_f0","((T([128, 768, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_nfnet","((T([128, 768, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 8, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 80, 73, 73], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 80, 73, 73], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 80, 73, 73], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 81, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/rexnet_100","((T([128, 87, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 896, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2net50_14w_8s","((T([128, 896, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/regnety_002","((T([128, 92, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 92, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 96, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 96, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 96, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 96, 17, 17], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 96, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/adv_inception_v3","((T([128, 96, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/gluon_inception_v3","((T([128, 96, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/inception_v3","((T([128, 96, 35, 35], f16),), {})"]
["aten.relu_.default","TIMM/fbnetc_100","((T([128, 96, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/selecsls42b","((T([128, 960, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_stargan","((T([16, 128, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 168, 42, 42], f16),), {})"]
["aten.relu_.default","TorchBench/resnet18","((T([16, 256, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_stargan","((T([16, 256, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 4032, 11, 11], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16),), {})"]
["aten.relu_.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/resnet18","((T([16, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/pytorch_stargan","((T([16, 64, 128, 128], f16),), {})"]
["aten.relu_.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16),), {})"]
["aten.relu_.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 64, 128, 128], f16),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16),), {})"]
["aten.relu_.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 1000, 13, 13], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 1024, 19, 19], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1024, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1088, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1152, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 120, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1216, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 128, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 128, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 128, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 128, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 128, 128, 128], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 128, 150, 150], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 128, 27, 27], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 128, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 128, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 128, 75, 75], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1280, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 1280, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1344, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1408, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1472, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 1536, 10, 10], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1536, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 16, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 16, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 16, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 16, 55, 55], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 160, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1600, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1600, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1664, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1728, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1792, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1856, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 192, 13, 13], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 192, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1920, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 1984, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 200, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 2048, 10, 10], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2048, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 2048, 8, 8], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2112, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2176, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 224, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 224, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 224, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 224, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2240, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 2240, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 2240, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2304, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2368, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 240, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 240, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2432, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2432, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 256, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 256, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 256, 13, 13], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 256, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 256, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 256, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 256, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 256, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 256, 75, 75], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 2560, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 316, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 32, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 32, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 32, 150, 150], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 32, 27, 27], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 336, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 356, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 376, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 400, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 400, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 4096, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 448, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 448, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 48, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 48, 13, 13], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 48, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 480, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 512, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 512, 16, 16], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 512, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 512, 32, 32], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 512, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 512, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 512, 8, 8], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 56, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 576, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 576, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 64, 1, 1], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 64, 111, 111], f16),), {})"]
["aten.relu_.default","TIMM/gluon_senet154","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/legacy_senet154","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/swsl_resnext101_32x16d","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 64, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 64, 128, 128], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 64, 13, 13], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 64, 150, 150], f16),), {})"]
["aten.relu_.default","TorchBench/squeezenet1_1","((T([32, 64, 55, 55], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/resnet50","((T([32, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/timm_resnest","((T([32, 64, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/resnest101e","((T([32, 64, 64, 64], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 704, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 72, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/mnasnet1_0","((T([32, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/mobilenet_v3_large","((T([32, 72, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 728, 19, 19], f16),), {})"]
["aten.relu_.default","TIMM/gluon_xception65","((T([32, 728, 38, 38], f16),), {})"]
["aten.relu_.default","TorchBench/timm_vovnet","((T([32, 768, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 768, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 8, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 800, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 800, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 832, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 896, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 896, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/timm_regnet","((T([32, 896, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dpn107","((T([32, 960, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 1024, 74, 76], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 128, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 128, 148, 152], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 128, 296, 304], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 128, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 128, 7, 7], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 160, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 160, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 192, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 192, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 2048, 37, 38], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 224, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 224, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 256, 14, 14], f16),), {})"]
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["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 256, 19, 19], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 256, 28, 28], f16),), {})"]
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["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 256, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 288, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 288, 28, 28], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 320, 14, 14], f16),), {})"]
["aten.relu_.default","TorchBench/densenet121","((T([4, 320, 28, 28], f16),), {})"]
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["aten.relu_.default","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16),), {})"]
["aten.relu_.default","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16),), {})"]
["aten.relu_.default","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16),), {})"]
["aten.relu_.default","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16),), {})"]
["aten.relu_.default","TIMM/densenet121","((T([64, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/ecaresnet101d","((T([64, 1024, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2net101_26w_4s","((T([64, 1024, 14, 14], f16),), {})"]
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["aten.relu_.default","TIMM/dla102","((T([64, 1024, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2net101_26w_4s","((T([64, 104, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/res2net101_26w_4s","((T([64, 104, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/mixnet_l","((T([64, 120, 56, 56], f16),), {})"]
["aten.relu_.default","TIMM/tf_mixnet_l","((T([64, 120, 56, 56], f16),), {})"]
["aten.relu_.default","TorchBench/vgg16","((T([64, 128, 112, 112], f16),), {})"]
["aten.relu_.default","TIMM/densenet121","((T([64, 128, 14, 14], f16),), {})"]
["aten.relu_.default","TIMM/densenet121","((T([64, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/dla102","((T([64, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/ecaresnet101d","((T([64, 128, 28, 28], f16),), {})"]
["aten.relu_.default","TIMM/densenet121","((T([64, 128, 56, 56], f16),), {})"]
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["aten.relu_.default","TIMM/tf_mixnet_l","((T([64, 1536, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/sebotnet33ts_256","((T([64, 16, 1, 1], f16),), {})"]
["aten.relu_.default","TIMM/dla102","((T([64, 16, 224, 224], f16),), {})"]
["aten.relu_.default","TIMM/densenet121","((T([64, 160, 28, 28], f16),), {})"]
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["aten.relu_.default","TIMM/mixnet_l","((T([64, 192, 112, 112], f16),), {})"]
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["aten.relu_.default","TIMM/ecaresnet101d","((T([64, 2048, 7, 7], f16),), {})"]
["aten.relu_.default","TIMM/res2net101_26w_4s","((T([64, 2048, 7, 7], f16),), {})"]
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["aten.relu_.default","TIMM/res2net101_26w_4s","((T([64, 512, 28, 28], f16),), {})"]
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["aten.relu_.default","TIMM/densenet121","((T([64, 512, 7, 7], f16),), {})"]
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["aten.slice_backward.default","TIMM/rexnet_100","((T([128, 84, 14, 14], f16), [128, 84, 14, 14], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/rexnet_100","((T([128, 84, 14, 14], f16, stride=(18620, 196, 14, 1)), [128, 95, 14, 14], 1, 0, 84, 1), {})"]
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["aten.slice_backward.default","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), [128, 960, 7, 7], 2, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), [128, 960, 7, 7], 3, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/convnext_base","((T([128], f16), [128], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","HuggingFace/MobileBertForMaskedLM","((T([16, 127, 128], f16), [16, 128, 128], 1, 0, -1, 1), {})"]
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["aten.slice_backward.default","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 128], f16), [16, 128, 128], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/levit_128","((T([16, 49], f16), [16, 49], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","HuggingFace/LayoutLMForSequenceClassification","((T([16, 512, 768], f16), [16, 512, 768], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/eca_halonext26ts","((T([16384, 4, 12], f16), [16384, 4, 23], 2, 11, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/eca_halonext26ts","((T([16384, 4, 23], f16), [16384, 5, 23], 1, 0, 4, 1), {})"]
["aten.slice_backward.default","TIMM/eca_halonext26ts","((T([16384, 5, 23], f16), [16384, 5, 23], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_BigBird","((T([2, 12, 12, 192, 64], f16), [2, 12, 14, 192, 64], 2, 1, -1, 1), {})"]
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["aten.slice_backward.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 192], f16), [2, 12, 12, 64, 512], 4, 256, -64, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 192], f16), [2, 12, 12, 64, 512], 4, 64, 256, 1), {})"]
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["aten.slice_backward.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 64], f16), [2, 12, 12, 64, 512], 4, 0, 64, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_BigBird","((T([2, 12, 12, 64, 64], f16), [2, 12, 16, 64, 64], 2, 2, -2, 1), {})"]
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["aten.slice_backward.default","HuggingFace/MegatronBertForCausalLM","((T([2, 127, 29056], f16), [2, 127, 29056], 2, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","HuggingFace/MegatronBertForCausalLM","((T([2, 127, 29056], f16), [2, 128, 29056], 1, 0, -1, 1), {})"]
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["aten.slice_backward.default","TIMM/cait_m36_384","((T([2, 577, 768], f16), [2, 577, 768], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/sebotnet33ts_256","((T([2048, 8, 15], f16), [2048, 9, 15], 1, 0, 8, 1), {})"]
["aten.slice_backward.default","TIMM/sebotnet33ts_256","((T([2048, 8, 8], f16), [2048, 8, 15], 2, 7, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/sebotnet33ts_256","((T([2048, 9, 15], f16), [2048, 9, 15], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 255, 255], f16), [24, 255, 513], 2, -255, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 255, 513], f16), [24, 512, 513], 1, 0, 255, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 256, 257], f16), [24, 256, 513], 2, 0, 257, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 256, 513], f16), [24, 512, 513], 1, 256, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 3, 256, 256], f16), [24, 3, 256, 513], 3, 257, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 3, 256, 257], f16), [24, 3, 256, 513], 3, 0, 257, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 3, 256, 513], f16), [24, 3, 512, 513], 2, -257, -1, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 3, 256, 513], f16), [24, 3, 512, 513], 2, 0, 256, 1), {})"]
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["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 4, 197120], f16), [24, 4, 197120], 1, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TorchBench/hf_Longformer","((T([24, 4, 256, 768], f16), [24, 4, 256, 769], 3, 0, -1, 1), {})"]
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["aten.slice_backward.default","TIMM/dpn107","((T([32, 1024, 14, 14], f16), [32, 1024, 14, 14], 2, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/dpn107","((T([32, 1024, 14, 14], f16), [32, 1024, 14, 14], 3, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/dpn107","((T([32, 1024, 14, 14], f16), [32, 1088, 14, 14], 1, 0, 1024, 1), {})"]
["aten.slice_backward.default","TIMM/dpn107","((T([32, 1024, 14, 14], f16), [32, 1152, 14, 14], 1, 0, 1024, 1), {})"]
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["aten.slice_backward.default","TIMM/dpn107","((T([32, 1088, 14, 14], f16), [32, 1088, 14, 14], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/dpn107","((T([32, 1152, 14, 14], f16), [32, 1152, 14, 14], 0, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","HuggingFace/MobileBertForQuestionAnswering","((T([32, 127, 128], f16), [32, 128, 128], 1, 0, -1, 1), {})"]
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["aten.slice_backward.default","TIMM/dpn107","((T([32, 128, 14, 14], f16), [32, 128, 14, 14], 2, 0, 9223372036854775807, 1), {})"]
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["aten.slice_backward.default","TIMM/dpn107","((T([32, 20, 56, 56], f16), [32, 20, 56, 56], 2, 0, 9223372036854775807, 1), {})"]
["aten.slice_backward.default","TIMM/dpn107","((T([32, 20, 56, 56], f16), [32, 276, 56, 56], 1, 256, 9223372036854775807, 1), {})"]
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["aten.sum.SymInt","TIMM/eca_botnext26ts_256","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/eca_halonext26ts","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/ese_vovnet19b_dw","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/fbnetc_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/gernet_l","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/gluon_inception_v3","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/hrnet_w18","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/inception_v3","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/lcnet_050","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mnasnet_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv2_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/nfnet_l0","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/regnety_002","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/repvgg_a2","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/res2net50_14w_8s","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/res2next50","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/resmlp_12_224","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/resnet18","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/selecsls42b","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/spnasnet_100","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/visformer_small","((T([128, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/alexnet","((T([128, 1000], f16, stride=(0, 0)), [0], True), {})"]
["aten.sum.SymInt","TorchBench/shufflenet_v2_x1_0","((T([128, 1000], f16, stride=(0, 0)), [0], True), {})"]
["aten.sum.SymInt","TorchBench/timm_nfnet","((T([128, 1000], f16, stride=(0, 0)), [0], True), {})"]
["aten.sum.SymInt","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 1044, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 1104, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 1152, 6, 6], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 1152, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 1152, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 12, 16, 16], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 128, 256], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/eca_botnext26ts_256","((T([128, 128, 32, 32], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/eca_halonext26ts","((T([128, 128, 32, 32], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 128, 640], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/lcnet_050","((T([128, 128, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 144, 24, 24], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 144, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 144, 48, 48], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 144, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/regnety_002","((T([128, 152, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/dm_nfnet_f0","((T([128, 1536, 12, 12], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TorchBench/timm_nfnet","((T([128, 1536, 12, 12], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/nfnet_l0","((T([128, 1536, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/dm_nfnet_f0","((T([128, 1536, 6, 6], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TorchBench/timm_nfnet","((T([128, 1536, 6, 6], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/nfnet_l0","((T([128, 1536, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 16, 16, 49], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/visformer_small","((T([128, 192, 28, 28], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/resmlp_12_224","((T([128, 196, 1536], f16), [0, 1], True), {})"]
["aten.sum.SymInt","TIMM/resmlp_12_224","((T([128, 196, 384], f16), [0, 1], True), {})"]
["aten.sum.SymInt","TIMM/resmlp_12_224","((T([128, 196, 384], f16, stride=(75264, 1, 196)), [0, 1], True), {})"]
["aten.sum.SymInt","HuggingFace/GPTNeoForCausalLM","((T([128, 2048], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/GPTNeoForSequenceClassification","((T([128, 2048], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 228, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/regnety_002","((T([128, 24, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 240, 12, 12], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 240, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 240, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 240, 24, 24], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 240, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/eca_botnext26ts_256","((T([128, 256, 16, 16], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/eca_halonext26ts","((T([128, 256, 16, 16], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/dm_nfnet_f0","((T([128, 256, 48, 48], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TorchBench/timm_nfnet","((T([128, 256, 48, 48], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ese_vovnet19b_dw","((T([128, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/nfnet_l0","((T([128, 256, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/lcnet_050","((T([128, 256, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 300, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 32, 112, 112], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 32, 96, 96], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 360, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 366, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/regnety_002","((T([128, 368, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/visformer_small","((T([128, 384, 14, 14], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/resmlp_12_224","((T([128, 384, 1536], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 4, 196, 196], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/alexnet","((T([128, 4096], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 432, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 480, 12, 12], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 480, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 504, 14, 14], f16), [2, 3], True), {})"]
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["aten.sum.SymInt","TorchBench/timm_nfnet","((T([128, 512, 24, 24], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/nfnet_l0","((T([128, 512, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/regnety_002","((T([128, 56, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 570, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 636, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/eca_botnext26ts_256","((T([128, 64, 64, 64], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/eca_halonext26ts","((T([128, 64, 64, 64], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 672, 12, 12], f16), [2, 3], True), {})"]
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["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 672, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 672, 6, 6], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 672, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 702, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 72, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 72, 28, 28], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/hardcorenas_a","((T([128, 72, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 720, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/fbnetv3_b","((T([128, 736, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/visformer_small","((T([128, 768, 7, 7], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 768, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 8, 49, 196], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/levit_128","((T([128, 8, 49, 49], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/GPTNeoForCausalLM","((T([128, 8192], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/GPTNeoForSequenceClassification","((T([128, 8192], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 840, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 906, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tinynet_a","((T([128, 96, 48, 48], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/tf_efficientnet_b0","((T([128, 96, 56, 56], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/mobilenetv3_large_100","((T([128, 960, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/rexnet_100","((T([128, 972, 7, 7], f16), [2, 3], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 1024], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 128], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 2048], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 256], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 512], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/twins_pcpvt_base","((T([1568, 640], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/timm_vision_transformer","((T([1576, 1152], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/timm_vision_transformer","((T([1576, 1536], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/timm_vision_transformer","((T([1576, 384], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/nasnetalarge","((T([16, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/pnasnet5large","((T([16, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/resnet18","((T([16, 1000], f16, stride=(0, 0)), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 128], f16), [0, 1], True), {})"]
["aten.sum.SymInt","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 30522], f16), [0, 1], True), {})"]
["aten.sum.SymInt","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), [0, 1], True), {})"]
["aten.sum.SymInt","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), [0, 1], True), {})"]
["aten.sum.SymInt","HuggingFace/DistilBertForMaskedLM","((T([16, 128, 768], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/BERT_pytorch","((T([16, 128, 768], f16), [2], True), {})"]
["aten.sum.SymInt","HuggingFace/LayoutLMForSequenceClassification","((T([16, 2], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/LayoutLMForMaskedLM","((T([16, 512, 768], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/LayoutLMForSequenceClassification","((T([16, 512, 768], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/LayoutLMForSequenceClassification","((T([16, 768], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mobilevit_s","((T([16384, 192], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mobilevit_s","((T([16384, 384], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/mobilevit_s","((T([16384, 576], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/pit_b_224","((T([16448, 1536], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/pit_b_224","((T([16448, 2048], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/pit_b_224","((T([16448, 512], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 1, 768], f16), [0, 1], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 1, 768], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 1000], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/hf_Longformer","((T([2, 1024, 768], f16), [0, 1], True), {})"]
["aten.sum.SymInt","TorchBench/hf_BigBird","((T([2, 1024, 768], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/MegatronBertForCausalLM","((T([2, 128, 1024], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 3072], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/AlbertForMaskedLM","((T([2, 512, 128], f16), [0], True), {})"]
["aten.sum.SymInt","HuggingFace/AlbertForQuestionAnswering","((T([2, 512, 128], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 576, 576, 16], f16, stride=(5308416, 576, 1, 331776)), [0, 1, 2], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 576, 768], f16), [0, 1], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 576, 768], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/cait_m36_384","((T([2, 768], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/swin_base_patch4_window7_224","((T([200704, 128], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/tnt_s_patch16_224","((T([200704, 24], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/swin_base_patch4_window7_224","((T([200704, 384], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/swin_base_patch4_window7_224","((T([200704, 512], f16), [0], True), {})"]
["aten.sum.SymInt","TIMM/tnt_s_patch16_224","((T([200704, 96], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/speech_transformer","((T([2040, 2048], f16), [0], True), {})"]
["aten.sum.SymInt","TorchBench/speech_transformer","((T([2040, 512], f16), [0], True), {})"]
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["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 100, 14, 14], f16, stride=(39200, 196, 14, 1)), T([128, 100, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 1024, 14, 14], f16), T([128, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 1024, 16, 16], f16), T([128, 1024, 16, 16], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 1024, 4, 4], f16), T([128, 1024, 4, 4], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 1024, 7, 7], f16), T([128, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 1104, 7, 7], f16), T([128, 1104, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 56, 56], f16), T([128, 112, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([128, 112, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([128, 116, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 116, 28, 28], f16), T([128, 116, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 120, 1, 1], f16), T([128, 120, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 120, 1, 1], f16), T([128, 120, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 1, 1], f16), T([128, 120, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 120, 28, 28], f16, stride=(188160, 784, 28, 1)), T([128, 120, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dm_nfnet_f0","((T([128, 128, 1, 1], f16), T([128, 128, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nfnet_l0","((T([128, 128, 1, 1], f16), T([128, 128, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_nfnet","((T([128, 128, 1, 1], f16), T([128, 128, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 128, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnet18","((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 128, 56, 56], f16, stride=(1404928, 3136, 56, 1)), T([128, 128, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 128, 64, 64], f16), T([128, 128, 64, 64], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 1280, 1, 1], f16), T([128, 1280, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 1280, 4, 4], f16), T([128, 1280, 4, 4], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 1280, 7, 7], f16), T([128, 1280, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 14, 1, 1], f16), T([128, 14, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([128, 14, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/repvgg_a2","((T([128, 1408, 7, 7], f16), T([128, 1408, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 144, 7, 7], f16), T([128, 144, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16, stride=(119168, 196, 14, 1)), T([128, 152, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 152, 14, 14], f16, stride=(178752, 196, 14, 1)), T([128, 152, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 152, 28, 28], f16), T([128, 152, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 160, 16, 16], f16), T([128, 160, 16, 16], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 160, 28, 28], f16, stride=(577024, 784, 28, 1)), T([128, 160, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 160, 32, 32], f16), T([128, 160, 32, 32], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 168, 1, 1], f16), T([128, 168, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 168, 1, 1], f16), T([128, 168, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), T([128, 18, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), T([128, 18, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 19, 1, 1], f16), T([128, 19, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 192, 14, 14], f16, stride=(213248, 196, 14, 1)), T([128, 192, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 192, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 192, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 192, 17, 17], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/alexnet","((T([128, 192, 27, 27], f16), T([128, 192, 27, 27], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/repvgg_a2","((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 192, 32, 32], f16), T([128, 192, 32, 32], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 192, 71, 71], f16), T([128, 192, 71, 71], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16, stride=(131072, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16, stride=(131072, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16, stride=(131072, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 192, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 192, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 192, 8, 8], f16, stride=(81920, 64, 8, 1)), T([128, 192, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 1920, 16, 16], f16), T([128, 1920, 16, 16], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 1920, 8, 8], f16), T([128, 1920, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 1984, 7, 7], f16), T([128, 1984, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 20, 1, 1], f16), T([128, 20, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 2048, 7, 7], f16), T([128, 2048, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 2048, 8, 8], f16), T([128, 2048, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 28, 28], f16), T([128, 224, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 224, 56, 56], f16), T([128, 224, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 224, 7, 7], f16, stride=(70560, 49, 7, 1)), T([128, 224, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([128, 232, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 24, 1, 1], f16), T([128, 24, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 24, 1, 1], f16), T([128, 24, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 24, 112, 112], f16), T([128, 24, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 24, 112, 112], f16, stride=(602112, 12544, 112, 1)), T([128, 24, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 24, 128, 128], f16), T([128, 24, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 240, 1, 1], f16), T([128, 240, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 240, 1, 1], f16), T([128, 240, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 240, 14, 14], f16), T([128, 240, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([128, 240, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 240, 28, 28], f16), T([128, 240, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 25, 1, 1], f16), T([128, 25, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dm_nfnet_f0","((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_nfnet","((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/alexnet","((T([128, 256, 13, 13], f16), T([128, 256, 13, 13], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnet18","((T([128, 256, 14, 14], f16), T([128, 256, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 256, 16, 16], f16), T([128, 256, 16, 16], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/res2next50","((T([128, 256, 28, 28], f16), T([128, 256, 28, 28], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 256, 56, 56], f16), T([128, 256, 56, 56], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 2560, 8, 8], f16), T([128, 2560, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16), T([128, 28, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([128, 28, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 288, 1, 1], f16), T([128, 288, 1, 1], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 288, 28, 28], f16), T([128, 288, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 30, 1, 1], f16), T([128, 30, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 304, 14, 14], f16), T([128, 304, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/lcnet_050","((T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/visformer_small","((T([128, 32, 112, 112], f16), T([128, 32, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 32, 128, 128], f16), T([128, 32, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 147, 147], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 32, 147, 147], f16), T([128, 32, 147, 147], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 32, 149, 149], f16), T([128, 32, 149, 149], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 32, 35, 35], f16, stride=(313600, 1225, 35, 1)), T([128, 32, 35, 35], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 32, 56, 56], f16), T([128, 32, 56, 56], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16), T([128, 336, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 336, 14, 14], f16, stride=(131712, 196, 14, 1)), T([128, 336, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 36, 1, 1], f16), T([128, 36, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), T([128, 36, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), T([128, 36, 28, 28], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 36, 56, 56], f16, stride=(225792, 3136, 56, 1)), T([128, 36, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 368, 14, 14], f16), T([128, 368, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 368, 7, 7], f16), T([128, 368, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 38, 1, 1], f16), T([128, 38, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nfnet_l0","((T([128, 384, 1, 1], f16), T([128, 384, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/alexnet","((T([128, 384, 13, 13], f16), T([128, 384, 13, 13], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/fbnetc_100","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/repvgg_a2","((T([128, 384, 14, 14], f16), T([128, 384, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 384, 17, 17], f16, stride=(221952, 289, 17, 1)), T([128, 384, 17, 17], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 384, 8, 8], f16), T([128, 384, 8, 8], f16), 0), {})"]
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["aten.threshold_backward.default","TorchBench/alexnet","((T([128, 4096], f16), T([128, 4096], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 42, 1, 1], f16), T([128, 42, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 14, 14], f16), T([128, 448, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 448, 28, 28], f16), T([128, 448, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 448, 8, 8], f16), T([128, 448, 8, 8], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 448, 8, 8], f16), T([128, 448, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 47, 1, 1], f16), T([128, 47, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 48, 112, 112], f16), T([128, 48, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 48, 35, 35], f16), T([128, 48, 35, 35], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16), T([128, 480, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 480, 7, 7], f16, stride=(47040, 49, 7, 1)), T([128, 480, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 512, 14, 14], f16), T([128, 512, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 512, 14, 14], f16), T([128, 512, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 512, 16, 16], f16), T([128, 512, 16, 16], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 512, 32, 32], f16), T([128, 512, 32, 32], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnet18","((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 512, 8, 8], f16), T([128, 512, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 53, 1, 1], f16), T([128, 53, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([128, 56, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 56, 56, 56], f16), T([128, 56, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 576, 14, 14], f16), T([128, 576, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/spnasnet_100","((T([128, 576, 7, 7], f16), T([128, 576, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 58, 1, 1], f16), T([128, 58, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16), T([128, 58, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 28, 28], f16, stride=(90944, 784, 28, 1)), T([128, 58, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/shufflenet_v2_x1_0","((T([128, 58, 56, 56], f16), T([128, 58, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 6, 1, 1], f16), T([128, 6, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16), T([128, 60, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 60, 28, 28], f16, stride=(94080, 784, 28, 1)), T([128, 60, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 64, 1, 1], f16), T([128, 64, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/lcnet_050","((T([128, 64, 1, 1], f16), T([128, 64, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nfnet_l0","((T([128, 64, 1, 1], f16), T([128, 64, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 64, 1, 1], f16), T([128, 64, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mobilenetv3_large_100","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/repvgg_a2","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnet18","((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/botnet26t_256","((T([128, 64, 128, 128], f16), T([128, 64, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 64, 147, 147], f16), T([128, 64, 147, 147], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/hrnet_w18","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2next50","((T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([128, 64, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 64, 35, 35], f16), T([128, 64, 35, 35], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/gernet_l","((T([128, 640, 16, 16], f16), T([128, 640, 16, 16], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 70, 1, 1], f16), T([128, 70, 1, 1], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/hardcorenas_a","((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/mnasnet_100","((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 75, 1, 1], f16), T([128, 75, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dm_nfnet_f0","((T([128, 768, 1, 1], f16), T([128, 768, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_nfnet","((T([128, 768, 1, 1], f16), T([128, 768, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ese_vovnet19b_dw","((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 8, 1, 1], f16), T([128, 8, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16), T([128, 8, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 8, 112, 112], f16, stride=(200704, 12544, 112, 1)), T([128, 8, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/adv_inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/inception_v3","((T([128, 80, 73, 73], f16), T([128, 80, 73, 73], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 81, 1, 1], f16), T([128, 81, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/rexnet_100","((T([128, 87, 1, 1], f16), T([128, 87, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 14, 14], f16), T([128, 896, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/res2net50_14w_8s","((T([128, 896, 7, 7], f16), T([128, 896, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/regnety_002","((T([128, 92, 1, 1], f16), T([128, 92, 1, 1], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/repvgg_a2","((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/ghostnet_100","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/selecsls42b","((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 108, 42, 42], f16), T([16, 108, 42, 42], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 1080, 42, 42], f16), T([16, 1080, 42, 42], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/resnet18","((T([16, 128, 28, 28], f16), T([16, 128, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","HuggingFace/MobileBertForMaskedLM","((T([16, 128, 512], f16), T([16, 128, 512], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/pytorch_stargan","((T([16, 128, 64, 64], f16), T([16, 128, 64, 64], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 2688, 11, 11], f16), T([16, 2688, 11, 11], f16), 0), {})"]
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["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 336, 21, 21], f16), T([16, 336, 21, 21], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 336, 42, 42], f16), T([16, 336, 42, 42], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 4032, 11, 11], f16), T([16, 4032, 11, 11], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 42, 165, 165], f16), T([16, 42, 165, 165], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 42, 83, 83], f16), T([16, 42, 83, 83], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 432, 21, 21], f16), T([16, 432, 21, 21], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 432, 42, 42], f16), T([16, 432, 42, 42], f16), 0), {})"]
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["aten.threshold_backward.default","TorchBench/resnet18","((T([16, 512, 7, 7], f16), T([16, 512, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 54, 165, 165], f16), T([16, 54, 165, 165], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 54, 83, 83], f16), T([16, 54, 83, 83], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 540, 42, 42], f16), T([16, 540, 42, 42], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/resnet18","((T([16, 64, 112, 112], f16), T([16, 64, 112, 112], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/pytorch_stargan","((T([16, 64, 128, 128], f16), T([16, 64, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/resnet18","((T([16, 64, 56, 56], f16), T([16, 64, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 672, 11, 11], f16), T([16, 672, 11, 11], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 672, 21, 21], f16), T([16, 672, 21, 21], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 84, 42, 42], f16), T([16, 84, 42, 42], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 84, 83, 83], f16), T([16, 84, 83, 83], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 864, 11, 11], f16), T([16, 864, 11, 11], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/pnasnet5large","((T([16, 864, 21, 21], f16), T([16, 864, 21, 21], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/nasnetalarge","((T([16, 96, 165, 165], f16), T([16, 96, 165, 165], f16), 0), {})"]
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["aten.threshold_backward.default","HuggingFace/M2M100ForConditionalGeneration","((T([2, 128, 4096], f16), T([2, 128, 4096], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 31, 2048], f16), T([256, 31, 2048], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/attention_is_all_you_need_pytorch","((T([256, 33, 2048], f16), T([256, 33, 2048], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_efficientdet","((T([2], f16), T([2], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), T([3, 128, 256, 256], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(16777216, 65536, 256, 1)), T([3, 128, 256, 256], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), T([3, 128, 256, 256], f16, stride=(8388608, 1, 32768, 128)), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), T([3, 256, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16, stride=(8388608, 16384, 128, 1)), T([3, 256, 128, 128], f16, stride=(4194304, 1, 32768, 256)), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 64, 128, 128], f16, stride=(7340032, 16384, 128, 1)), T([3, 64, 128, 128], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16), T([3, 64, 512, 512], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/Background_Matting","((T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), T([3, 64, 512, 512], f16, stride=(16777216, 1, 32768, 64)), 0), {})"]
["aten.threshold_backward.default","TorchBench/pytorch_struct","((T([30, 256], f16), T([30, 256], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/pytorch_struct","((T([30, 256], f16, stride=(1, 30)), T([30, 256], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/squeezenet1_1","((T([32, 1000, 13, 13], f16), T([32, 1000, 13, 13], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_xception65","((T([32, 1024, 10, 10], f16), T([32, 1024, 10, 10], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/legacy_senet154","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/resnet50","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_resnest","((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnest101e","((T([32, 1024, 16, 16], f16), T([32, 1024, 16, 16], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_xception65","((T([32, 1024, 19, 19], f16), T([32, 1024, 19, 19], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dpn107","((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 28, 28], f16), T([32, 1024, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/swsl_resnext101_32x16d","((T([32, 1024, 56, 56], f16), T([32, 1024, 56, 56], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/gluon_senet154","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/legacy_senet154","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_vovnet","((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/resnest101e","((T([32, 1024, 8, 8], f16), T([32, 1024, 8, 8], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dpn107","((T([32, 1088, 28, 28], f16), T([32, 1088, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/timm_regnet","((T([32, 112, 1, 1], f16), T([32, 112, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TIMM/dpn107","((T([32, 1152, 28, 28], f16), T([32, 1152, 28, 28], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/mnasnet1_0","((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/mobilenet_v3_large","((T([32, 120, 1, 1], f16), T([32, 120, 1, 1], f16), 0), {})"]
["aten.threshold_backward.default","TorchBench/mnasnet1_0","((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16), 0), {})"]
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["aten.unbind.int","TIMM/mobilevit_s","((T([3, 256, 4, 64, 48], f16, stride=(192, 36864, 48, 576, 1)),), {})"]
["aten.unbind.int","TIMM/swin_base_patch4_window7_224","((T([3, 4096, 4, 49, 32], f16, stride=(128, 18816, 32, 384, 1)),), {})"]
["aten.unbind.int","TIMM/volo_d1_224","((T([3, 64, 12, 196, 32], f16, stride=(384, 225792, 32, 1152, 1)),), {})"]
["aten.unbind.int","TIMM/beit_base_patch16_224","((T([3, 64, 12, 197, 64], f16, stride=(768, 453888, 64, 2304, 1)),), {})"]
["aten.unbind.int","TIMM/vit_base_patch16_224","((T([3, 64, 12, 197, 64], f16, stride=(768, 453888, 64, 2304, 1)),), {})"]
["aten.unbind.int","TIMM/deit_base_distilled_patch16_224","((T([3, 64, 12, 198, 64], f16, stride=(768, 456192, 64, 2304, 1)),), {})"]
["aten.unbind.int","TIMM/jx_nest_base","((T([3, 64, 16, 1, 196, 32], f16, stride=(512, 301056, 32, 301056, 1536, 1)),), {})"]
["aten.unbind.int","TIMM/pit_b_224","((T([3, 64, 16, 65, 64], f16, stride=(1024, 199680, 64, 3072, 1)),), {})"]
["aten.unbind.int","TIMM/swin_base_patch4_window7_224","((T([3, 64, 32, 49, 32], f16, stride=(1024, 150528, 32, 3072, 1)),), {})"]
["aten.unbind.int","TIMM/jx_nest_base","((T([3, 64, 4, 16, 196, 32], f16, stride=(128, 1204224, 32, 75264, 384, 1)),), {})"]
["aten.unbind.int","TIMM/crossvit_9_240","((T([3, 64, 4, 197, 64], f16, stride=(256, 151296, 64, 768, 1)),), {})"]
["aten.unbind.int","TIMM/crossvit_9_240","((T([3, 64, 4, 401, 32], f16, stride=(128, 153984, 32, 384, 1)),), {})"]
["aten.unbind.int","TIMM/pit_b_224","((T([3, 64, 4, 962, 64], f16, stride=(256, 738816, 64, 768, 1)),), {})"]
["aten.unbind.int","TIMM/pit_b_224","((T([3, 64, 8, 257, 64], f16, stride=(512, 394752, 64, 1536, 1)),), {})"]
["aten.unbind.int","TIMM/jx_nest_base","((T([3, 64, 8, 4, 196, 32], f16, stride=(256, 602112, 32, 150528, 768, 1)),), {})"]
["aten.unbind.int","TorchBench/timm_vision_transformer","((T([3, 8, 6, 197, 64], f16, stride=(384, 226944, 64, 1152, 1)),), {})"]
["aten.unbind.int","TorchBench/vision_maskrcnn","((T([4, 5000, 4], f16),), {})"]
["aten.unbind.int","TorchBench/vision_maskrcnn","((T([4, 5000], f16),), {})"]
["aten.unbind.int","TorchBench/vision_maskrcnn","((T([4, 5000], i64),), {})"]
["aten.unbind.int","TorchBench/timm_efficientdet","((T([5000, 4], f32), 1), {})"]
["aten.unbind.int","TorchBench/Super_SloMo","((T([6, 352, 352, 2], f16), 3), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 384, 2, 2, 12, 12], f16), [128, 384, 2, 20, 12], 3, 12, 8), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 384, 2, 20, 12], f16), [128, 384, 20, 20], 2, 12, 8), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 1, 1, 12, 12], f16), [128, 640, 1, 12, 12], 3, 12, 8), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 1, 12, 12], f16), [128, 640, 12, 12], 2, 12, 8), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 2, 2, 12, 12], f16), [128, 640, 2, 20, 12], 3, 12, 8), {})"]
["aten.unfold_backward.default","TIMM/eca_halonext26ts","((T([128, 640, 2, 20, 12], f16), [128, 640, 20, 20], 2, 12, 8), {})"]
["aten.unsqueeze_.default","HuggingFace/BigBird","((T([1, 12, 64, 192], f32), 1), {})"]
["aten.unsqueeze_.default","HuggingFace/BigBird","((T([1, 12, 64, 64], f16), 2), {})"]
["aten.unsqueeze_.default","HuggingFace/BigBird","((T([12, 14, 3], i64), 0), {})"]
["aten.unsqueeze_.default","TorchBench/hf_BigBird","((T([12, 14, 3], i64), 0), {})"]
["aten.unsqueeze_.default","TorchBench/hf_BigBird","((T([2, 12, 64, 192], f32), 1), {})"]
["aten.unsqueeze_.default","TorchBench/hf_BigBird","((T([2, 12, 64, 64], f16), 2), {})"]
["aten.upsample_bicubic2d.vec","TIMM/crossvit_9_240","((T([64, 3, 240, 240], f16), [224, 224], False, None), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/pytorch_unet","((T([1, 128, 160, 239], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/pytorch_unet","((T([1, 256, 80, 119], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/vision_maskrcnn","((T([1, 3, 427, 640], f16, stride=(3, 1, 1920, 3)), [799, 1199], False, None), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/vision_maskrcnn","((T([1, 3, 459, 640], f16, stride=(3, 1, 1920, 3)), [799, 1115], False, None), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/vision_maskrcnn","((T([1, 3, 612, 612], f16, stride=(3, 1, 1836, 3)), [800, 800], False, None), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/vision_maskrcnn","((T([1, 3, 640, 443], f16, stride=(3, 1, 1329, 3)), [1155, 800], False, None), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/pytorch_unet","((T([1, 512, 40, 59], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/pytorch_unet","((T([1, 64, 320, 479], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Background_Matting","((T([3, 128, 256, 256], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Background_Matting","((T([3, 256, 128, 128], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Background_Matting","((T([3, 256, 256, 256], f16), None, True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Super_SloMo","((T([6, 128, 88, 88], f16), None, False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Super_SloMo","((T([6, 256, 44, 44], f16), None, False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Super_SloMo","((T([6, 512, 11, 11], f16), None, False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), None, False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d.vec","TorchBench/Super_SloMo","((T([6, 64, 176, 176], f16), None, False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/pytorch_unet","((T([1, 128, 320, 478], f16), None, [1, 128, 160, 239], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/pytorch_unet","((T([1, 256, 160, 238], f16), None, [1, 256, 80, 119], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/pytorch_unet","((T([1, 512, 80, 118], f16), None, [1, 512, 40, 59], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/pytorch_unet","((T([1, 64, 640, 958], f16), None, [1, 64, 320, 479], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Background_Matting","((T([3, 128, 512, 512], f16), None, [3, 128, 256, 256], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Background_Matting","((T([3, 256, 256, 256], f16), None, [3, 256, 128, 128], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Background_Matting","((T([3, 256, 512, 512], f16), None, [3, 256, 256, 256], True, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Super_SloMo","((T([6, 128, 176, 176], f16), None, [6, 128, 88, 88], False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Super_SloMo","((T([6, 256, 88, 88], f16), None, [6, 256, 44, 44], False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Super_SloMo","((T([6, 512, 22, 22], f16), None, [6, 512, 11, 11], False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Super_SloMo","((T([6, 512, 44, 44], f16), None, [6, 512, 22, 22], False, [2.0, 2.0]), {})"]
["aten.upsample_bilinear2d_backward.vec","TorchBench/Super_SloMo","((T([6, 64, 352, 352], f16), None, [6, 64, 176, 176], False, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d.vec","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), [20, 20], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), [40, 40], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), [80, 80], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/timm_efficientdet","((T([1, 88, 5, 5], f16), [10, 10], None), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 18, 14, 14], f16), None, [4.0, 4.0]), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 18, 28, 28], f16), None, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 18, 7, 7], f16), None, [8.0, 8.0]), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 36, 14, 14], f16), None, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 36, 7, 7], f16), None, [4.0, 4.0]), {})"]
["aten.upsample_nearest2d.vec","TIMM/hrnet_w18","((T([128, 72, 7, 7], f16), None, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d.vec","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), [296, 304], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/vision_maskrcnn","((T([4, 256, 37, 38], f16), [74, 76], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), [148, 152], None), {})"]
["aten.upsample_nearest2d.vec","TorchBench/yolov3","((T([8, 128, 24, 32], f16), None, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d.vec","TorchBench/yolov3","((T([8, 256, 12, 16], f16), None, [2.0, 2.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/timm_efficientdet","((T([1, 88, 10, 10], f16), [10, 10], [1, 88, 5, 5], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/timm_efficientdet","((T([1, 88, 20, 20], f16), [20, 20], [1, 88, 10, 10], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/timm_efficientdet","((T([1, 88, 40, 40], f16), [40, 40], [1, 88, 20, 20], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/timm_efficientdet","((T([1, 88, 80, 80], f16), [80, 80], [1, 88, 40, 40], None), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), None, [128, 18, 14, 14], [4.0, 4.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), None, [128, 18, 28, 28], [2.0, 2.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 18, 56, 56], f16), None, [128, 18, 7, 7], [8.0, 8.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), None, [128, 36, 14, 14], [2.0, 2.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 36, 28, 28], f16), None, [128, 36, 7, 7], [4.0, 4.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TIMM/hrnet_w18","((T([128, 72, 14, 14], f16), None, [128, 72, 7, 7], [2.0, 2.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/vision_maskrcnn","((T([4, 256, 148, 152], f16), [148, 152], [4, 256, 74, 76], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/vision_maskrcnn","((T([4, 256, 296, 304], f16), [296, 304], [4, 256, 148, 152], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/vision_maskrcnn","((T([4, 256, 74, 76], f16), [74, 76], [4, 256, 37, 38], None), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/yolov3","((T([8, 128, 48, 64], f16, stride=(1179648, 3072, 64, 1)), None, [8, 128, 24, 32], [2.0, 2.0]), {})"]
["aten.upsample_nearest2d_backward.vec","TorchBench/yolov3","((T([8, 256, 24, 32], f16, stride=(589824, 768, 32, 1)), None, [8, 256, 12, 16], [2.0, 2.0]), {})"]
["aten.var_mean.correction","TIMM/convnext_base","((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [1]), {'correction': 0, 'keepdim': True})"]
["aten.var_mean.correction","TIMM/convnext_base","((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), [1]), {'correction': 0, 'keepdim': True})"]
["aten.var_mean.correction","TIMM/convnext_base","((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), [1]), {'correction': 0, 'keepdim': True})"]
["aten.where.self","TorchBench/vision_maskrcnn","((T([0, 182], b8), T([0, 182], f16), T([], f16)), {})"]
["aten.where.self","TorchBench/vision_maskrcnn","((T([0, 91], b8), T([0, 91], f16), T([], f16)), {})"]
["aten.where.self","HuggingFace/GPT2ForSequenceClassification","((T([1, 1, 1024, 1024], b8), T([4, 12, 1024, 1024], f16), T([], f16)), {})"]
["aten.where.self","HuggingFace/GPTNeoForCausalLM","((T([1, 1, 128, 128], b8), T([1, 16, 128, 128], f32), T([], f32)), {})"]
["aten.where.self","HuggingFace/GPTNeoForSequenceClassification","((T([1, 1, 128, 128], b8), T([1, 16, 128, 128], f32), T([], f32)), {})"]
["aten.where.self","HuggingFace/DistillGPT2","((T([1, 1, 512, 512], b8), T([1, 12, 512, 512], f16), T([], f16)), {})"]
["aten.where.self","TorchBench/hf_GPT2","((T([1, 1, 512, 512], b8), T([4, 12, 512, 512], f16), T([], f16)), {})"]
["aten.where.self","HuggingFace/OPTForCausalLM","((T([4, 12, 128, 128], b8), T([4, 12, 128, 128], f16), T([4, 12, 128, 128], f16)), {})"]
["aten.where.self","TorchBench/timm_efficientdet","((T([5000, 4], b8), T([5000, 4], f32), T([5000, 4], f32)), {})"]
["aten.where.self","TorchBench/timm_efficientdet","((T([5000, 4], b8), T([5000, 4], f32), T([], f32)), {})"]
["aten.where.self","TorchBench/tts_angular","((T([64, 1], b8), T([64, 1], f16), T([], f16)), {})"]