code: def forward(self, inputs, params=None):
      features = self.features(inputs)
      features = features.view((features.size(0), -1))
      logits = self.classifier(
          features, params=self.get_subdict(params, "classifier")
      )
      return logits
  
imports: import torch.nn
  from torchmeta.modules import MetaModule, MetaLinear
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