class_docstr: Bottleneck transformation: 1x1, 3x3, 1x1, only for very deep networks
class_docstr_tok: ["Bottleneck","transformation",":","1x1",",","3x3",",","1x1",",","only","for","very","deep","networks"]
code: def forward(self, x):
      for layer in self.children():
          x = layer(x)
      return x
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the BottleneckTransform obj's underlying member method code with example usage: obj.forward(x) and returns: x