Upload apex-master/csrc/megatron/scaled_upper_triang_masked_softmax.cpp with huggingface_hub

apex-master/csrc/megatron/scaled_upper_triang_masked_softmax.cpp

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+/* coding=utf-8
+ * Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <cuda_fp16.h>
+#include <torch/extension.h>
+#include <vector>
+
+namespace multihead_attn {
+namespace fused_softmax {
+namespace scaled_upper_triang_masked_softmax {
+
+torch::Tensor fwd_cuda(
+    torch::Tensor const& input,
+    float scale_factor);
+
+torch::Tensor bwd_cuda(
+    torch::Tensor const& output_grads,
+    torch::Tensor const& softmax_results,
+    float scale_factor);
+
+torch::Tensor fwd(torch::Tensor const& input, float scale_factor) {
+  TORCH_CHECK(input.dim() == 3, "expected 3D tensor");
+  TORCH_CHECK((input.scalar_type() == at::ScalarType::Half) ||
+	     (input.scalar_type() == at::ScalarType::BFloat16),
+      "Only fp16 and bf16 are supported");
+
+  return fwd_cuda(input, scale_factor);
+}
+
+torch::Tensor bwd(
+    torch::Tensor const& output_grads,
+    torch::Tensor const& softmax_results,
+    float scale_factor) {
+
+  TORCH_CHECK(output_grads.dim() == 3, "expected 3D tensor");
+  TORCH_CHECK(softmax_results.dim() == 3, "expected 3D tensor");
+
+  TORCH_CHECK((output_grads.scalar_type() == at::ScalarType::Half) ||
+	     (output_grads.scalar_type() == at::ScalarType::BFloat16),
+      "Only fp16 and bf16 are supported");
+  TORCH_CHECK((softmax_results.scalar_type() == at::ScalarType::Half) ||
+	     (softmax_results.scalar_type() == at::ScalarType::BFloat16),
+      "Only fp16 and bf16 are supported");
+
+  return bwd_cuda(output_grads, softmax_results, scale_factor);
+}
+
+} // end namespace scaled_upper_triang_masked_softmax
+} // end namespace fused_softmax
+} // end namespace multihead_attn
+
+PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
+  m.def("forward",
+        &multihead_attn::fused_softmax::scaled_upper_triang_masked_softmax::fwd,
+	"Self Multihead Attention scaled, time masked softmax -- Forward.", py::call_guard<py::gil_scoped_release>());
+  m.def("backward",
+        &multihead_attn::fused_softmax::scaled_upper_triang_masked_softmax::bwd,
+	"Self Multihead Attention scaled, time masked softmax -- Backward.", py::call_guard<py::gil_scoped_release>());
+}