code: def module_name_fordropout(module_name: str) -> str:
      if module_name == "TransformerDecoderBase":
          return "TransformerDecoder"
      else:
          return module_name
  
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 1 for calling a global function with example usage: module_name_fordropout(module_name) and returns: str, module_name