code: def logits(self, input_):
      x = self.avg_pool(input_)
      x = x.view(x.size(0), -1)
      x = self.last_linear(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 2 for calling the ResNeXt101_64x4d obj's underlying member method code with example usage: obj.logits(input_) and returns: x