code: def _print_model(self):
      # print model and parameters
      print(self.model)
      print(len(list(self.model.parameters())))
      for i in range(len(list(self.model.parameters()))):
          print(list(self.model.parameters())[i].size())
  
imports: import torch
  from torch.utils.data import TensorDataset, DataLoader
  import types
  import numpy
  import math
  import pandas
  import tempfile
  import os
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.pytorch_utils import LR_NAME, DEFAULT_LR
label_desc: Use image node_id 13 for calling the PytorchBaseModel obj's underlying member method code with example usage: obj._print_model() without return types