code: def get_std_opt(model_params, d_model, warmup, factor):
      """Get standard NoamOpt."""
      base = torch.optim.Adam(
          model_params, lr=0, betas=(0.9, 0.98), eps=1e-9
      )
      return NoamOpt(d_model, factor, warmup, base)
  
file_path: espnet/espnet/nets/pytorch_backend/transformer/optimizer.py
imports: import torch
label_desc: Use image node_id 1 for calling a global function with example usage: get_std_opt(model_params, d_model, warmup, factor) and returns: NoamOpt