code: def build_decoder_layer(self, args, no_encoder_attn=False):
      return super().build_decoder_layer(
          TransformerConfig.from_namespace(args),
          no_encoder_attn=no_encoder_attn,
      )
  
imports: import math
  from typing import Any, Dict, List, Optional
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq import utils
  from fairseq.distributed import fsdp_wrap
  from fairseq.models import FairseqIncrementalDecoder
  from fairseq.models.transformer import TransformerConfig
  from fairseq.modules import AdaptiveSoftmax, BaseLayer, FairseqDropout, LayerDropModuleList, LayerNorm, PositionalEmbedding, SinusoidalPositionalEmbedding, transformer_layer
  from fairseq.modules.checkpoint_activations import checkpoint_wrapper
  from fairseq.modules.quant_noise import quant_noise
label_desc: Use image node_id 3 for calling the TransformerDecoder obj's underlying member method code with example usage: obj.build_decoder_layer(args, no_encoder_attn) and returns: super