class_docstr: Squeezes, in a three-dimensional tensor, the third dimension.
code: def __init__(self):
      super(SqueezeChannels, self).__init__()
  
imports: import torch
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new SqueezeChannels object from inherited base classes: torch.nn with example: obj = SqueezeChannels()