code: def forward(self, inputs):
      output = []
      for p in range(self.num_pathways):
          x = inputs[p]
          pathway_module = getattr(self, self._pathway_name(p))
          output.append(pathway_module(x))
      return output
  
file_path: ClassyVision/classy_vision/models/resnext3d_stage.py
imports: from collections import OrderedDict
  import torch.nn
  from .resnext3d_block import ResBlock
label_desc: Use image node_id 4 for calling the ResStageBase obj's underlying member method code with example usage: obj.forward(inputs) and returns: output