code: def __init__(self):
      super(BaseModel, self).__init__()
      self.logger = logging.getLogger(self.__class__.__name__)
  
imports: import torch
  import logging
  import torch.nn
  import torch.nn.functional
  from torchvision import models
  from itertools import chain
  import numpy
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new BaseModel object from inherited base classes: nn with example: obj = BaseModel()