code: def forward(self, inputs, params=None):
      features = self.features(
          inputs, params=self.get_subdict(params, "features")
      )
      return self.classifier(
          features, params=self.get_subdict(params, "classifier")
      )
  
file_path: pytorch-meta/torchmeta/tests/modules/test_module.py
imports: import pytest
  import torch
  import torch.nn
  from collections import OrderedDict
  from torchmeta.modules import MetaLinear, MetaModule, MetaSequential
label_desc: Use image node_id 2 for calling the MetaModel obj's underlying member method code with example usage: obj.forward(inputs, params) and returns: self