code: def transformer_big(args):
      args.setdefault("hidden_size", 1024)
      args.setdefault("intermediate_size", 4096)
      args.setdefault("nhead", 16)
      args.setdefault("attn_prob_dropout_ratio", 0.1)
      args.setdefault("activation_dropout_ratio", 0.1)
      base_architecture(args)
  
file_path: lightseq/lightseq/training/ops/pytorch/util.py
imports: import math
  from typing import Callable
  import numpy
  import torch
  import torch.nn.functional
label_desc: Use image node_id 11 for calling a global function with example usage: transformer_big(args) without return types