code: def preprocess(self, image_path):
      x = super(TestTorch, self).preprocess(image_path)
      x = np.transpose(x, (2, 0, 1))
      x = np.expand_dims(x, 0).copy()
      self.data = torch.from_numpy(x)
      self.data = torch.autograd.Variable(
          self.data, requires_grad=False
      )
  
file_path: MMdnn/mmdnn/conversion/examples/pytorch/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import torch
label_desc: Use image node_id 2 for calling the TestTorch obj's underlying member method code with example usage: obj.preprocess(image_path) without return types