code: def __init__(self, inplanes, planes, stride=1, downsample=None):
      super(ResBlock, self).__init__()
      self.norm1 = norm(inplanes)
      self.relu = nn.ReLU(inplace=True)
      self.downsample = downsample
      self.conv1 = conv3x3(inplanes, planes, stride)
      self.norm2 = norm(planes)
      self.conv2 = conv3x3(planes, planes)
  
imports: import os
  import argparse
  import logging
  import time
  import numpy
  import torch
  import torch.nn
  from torch.utils.data import DataLoader
  import torchvision.datasets
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new ResBlock object from inherited base classes: nn with example: obj = ResBlock(inplanes, planes, stride, downsample)