code: def forward(self, input_):
      x = self.resnext101_32x4d_stem(input_)
      x = self.resnext101_32x4d_layer1(x)
      x = self.resnext101_32x4d_layer2(x)
      x = self.resnext101_32x4d_layer3(x)
      x = self.resnext101_32x4d_layer4(x)
      return x
  
imports: import torch
  import torch.nn
  from torch.autograd import Variable
  from functools import reduce
label_desc: Use image node_id 2 for calling the resnext101_32x4d_features obj's underlying member method code with example usage: obj.forward(input_) and returns: x