code: def __init__(self, in_channels, out_channels, kernel_size, stride):
      super(ConvLayer, self).__init__()
      reflection_padding = kernel_size // 2
      self.reflection_pad = torch.nn.ReflectionPad2d(reflection_padding)
      self.conv2d = torch.nn.Conv2d(
          in_channels, out_channels, kernel_size, stride
      )
  
imports: import argparse
  import os
  import sys
  import re
  import json
  import traceback
  from PIL import Image
  import torch
  from torchvision import transforms
  from azureml.core.model import Model
label_desc: Use image node_id 1 to create a new ConvLayer object from inherited base classes: torch.nn with example: obj = ConvLayer(in_channels, out_channels, kernel_size, stride)