# Codeblock 10 Output
Bottleneck(
  (conv0): ConvBlock(
    (conv): Conv2d(24, 72, kernel_size=(1, 1), stride=(1, 1), bias=False)
    (bn): BatchNorm2d(72, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (activation): ReLU6()
  )
  (conv1): ConvBlock(
    (conv): Conv2d(72, 72, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2), groups=72, bias=False)
    (bn): BatchNorm2d(72, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (activation): ReLU6()
  )
  (semodule): SEModule(
    (global_pooling): AdaptiveAvgPool2d(output_size=(1, 1))
    (fc0): Linear(in_features=72, out_features=18, bias=False)
    (relu6): ReLU6()
    (fc1): Linear(in_features=18, out_features=72, bias=False)
    (hardsigmoid): Hardsigmoid()
  )
  (conv2): ConvBlock(
    (conv): Conv2d(72, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
    (bn): BatchNorm2d(40, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (activation): Identity()
  )
)