code: def forward(self, x):
      # freeze BatchNorm
      self.features.eval()
      x = self.features(x)
      x = F.log_softmax(self.dense1(x), dim=1)
      return x
  
file_path: analytics-zoo/pyzoo/zoo/examples/pytorch/train/resnet_finetune/resnet_finetune.py
imports: import torchvision
  import torch.nn
  import torch.nn.functional
  from pyspark.sql.types import StringType, DoubleType
  from pyspark.sql.functions import col, udf
  from bigdl.optim.optimizer import *
  from zoo.common.nncontext import *
  from zoo.feature.image import *
  from zoo.pipeline.api.torch import TorchModel, TorchLoss
  from zoo.pipeline.nnframes import *
  from zoo.pipeline.api.keras.metrics import Accuracy
  from zoo.util.utils import detect_conda_env_name
label_desc: Use image node_id 2 for calling the CatDogModel obj's underlying member method code with example usage: obj.forward(x) and returns: x