code: def forward(self, x):
      out = self.reflection_pad(x)
      out = self.conv2d(out)
      return out
  
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 2 for calling the ConvLayer obj's underlying member method code with example usage: obj.forward(x) and returns: out