code: def conv3x3(in_channels, out_channels, stride=1):
      return nn.Conv2d(
          in_channels,
          out_channels,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=False,
      )
  
file_path: pytorch-tutorial/tutorials/02-intermediate/deep_residual_network/main.py
imports: import torch
  import torch.nn
  import torchvision
  import torchvision.transforms
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_channels, out_channels, stride) and returns: nn