code: def forward(self, inputs, params=None):
      features = self.features(inputs)
      features = features.view((features.size(0), -1))
      logits = self.classifier(features)
      return logits
  
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 2 for calling the ConvolutionalNeuralNetwork obj's underlying member method code with example usage: obj.forward(inputs, params) and returns: logits