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import torchimport torch.nn as nn
input = torch.randn(1,3)

print(input)

class Bottleneck(nn.Module):
 def __init__(self, inplanes, planes): super(Bottleneck, self).__init__()
 self.inplanes = inplanes self.planes = planes self.connected_layer = nn.Linear(inplanes , planes )
  def forward(self, x) : x = self.connected_layer(x)
 return x
model = Bottleneck(3, 1)print(model)
out = model(input)print(out.size())