class_docstr: Squeezes, in a three-dimensional tensor, the third dimension.
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      return x.squeeze(2)
  
imports: import torch
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the SqueezeChannels obj's underlying member method code with example usage: obj.forward(x) and returns: x