class_docstr: Channel Squeeze module
code: def forward(self, x: Tensor):  # skipcq: PYL-W0221
      module_input = x
      x = self.squeeze(x)
      x = x.sigmoid()
      return module_input * x
  
imports: from torch import nn, Tensor
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the ChannelGate2d obj's underlying member method code with example usage: obj.forward(x) and returns: unknown