code: def def_train_opt(p):
      """
      Return the default optimizer.
      """
      return torch.optim.Adam(p, 1e-1, amsgrad=False)
  
imports: import time
  import numpy
  import scipy.special
  import torch
  import torch.nn
  from .None import constants
  from .None import syssettings
  from .fginitialize import ChunkDataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: def_train_opt(p) and returns: torch