code: def forward(self, input_):
      x = self.features(input_)
      x = self.logits(x)
      return x
  
imports: import torch.nn
  import torch.utils.model_zoo
  from .resnext_features import resnext50_32x4d_features
  from .resnext_features import resnext101_32x4d_features
  from .resnext_features import resnext101_64x4d_features
label_desc: Use image node_id 3 for calling the ResNeXt101_32x4d obj's underlying member method code with example usage: obj.forward(input_) and returns: x