class_docstr: Bottleneck transformation: 1x1, BN, ReLU, 3x3, BN, ReLU, 1x1, BN.
class_docstr_tok: ["Bottleneck","transformation",":","1x1",",","BN",",","ReLU",",","3x3",",","BN",",","ReLU",",","1x1",",","BN","."]
code: def forward(self, x):
      for layer in self.children():
          x = layer(x)
      return x
  
imports: import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the BottleneckTransform obj's underlying member method code with example usage: obj.forward(x) and returns: x