code: def set_default_general_args(args):
      args.checkpoint_activations = getattr(
          args, "checkpoint_activations", False
      )
      args.offload_activations = getattr(
          args, "offload_activations", False
      )
      args.min_params_to_wrap = getattr(
          args, "min_params_to_wrap", int(1e8)
      )
      args.max_positions = getattr(args, "max_positions", 3000)
  
imports: import copy
  import logging
  from typing import Dict, List, Optional, Tuple
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq import checkpoint_utils, utils
  from fairseq.data.data_utils import lengths_to_padding_mask
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, FairseqEncoderModel, FairseqLanguageModel, register_model, register_model_architecture
  from fairseq.models.speech_to_speech.modules.ctc_decoder import CTCDecoder
  from fairseq.models.speech_to_text.hub_interface import S2THubInterface
  from fairseq.models.transformer import Embedding, TransformerDecoder, TransformerModelBase
  from fairseq.models.wav2vec import Wav2VecEncoder
  from fairseq.modules.layer_norm import LayerNorm
label_desc: Use image node_id 9 for calling a global function with example usage: set_default_general_args(args) without return types