code: def conv3x3(in_channels, out_channels, **kwargs):
      return nn.Sequential(
          nn.Conv2d(
              in_channels,
              out_channels,
              kernel_size=3,
              padding=1,
              **kwargs,
          ),
          nn.BatchNorm2d(
              out_channels, momentum=1.0, track_running_stats=False
          ),
          nn.ReLU(),
          nn.MaxPool2d(2),
      )
  
file_path: pytorch-meta/examples/maml-higher/train.py
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from tqdm import tqdm
  import logging
  from collections import OrderedDict
  import higher
  from torchmeta.datasets.helpers import omniglot
  from torchmeta.utils.data import BatchMetaDataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_channels, out_channels) and returns: nn