class_docstr: SqueezeNet model with the top convolution layer removed, and with a new method
  `get_output_size` to retrieve the output channel size of the model.
code: def forward(self, x):
      x = self.net.features(x)
      x = self.net.classifier(x)
      return x
  
file_path: BigDL/python/nano/src/bigdl/nano/pytorch/vision/models/_utils.py
imports: from torch import nn
label_desc: Use image node_id 1 for calling the SqueezeNetWithoutTopLayer obj's underlying member method code with example usage: obj.forward(x) and returns: x