code: def _to_tensor(self):
      dim = None
      if "axes" in self.onnx_attr.keys():
          dim = tuple([int(i) for i in self.onnx_attr["axes"]])
  
      data = self.model_inputs[0].zvalue
  
      return data.squeeze(dim=dim)
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/onnx/mapper/squeeze.py
imports: from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
  import zoo.pipeline.api.keras.layers
  import numpy
  from zoo.pipeline.api.autograd import Parameter
  import bigdl.nn.layer
label_desc: Use image node_id 2 for calling the SqueezeMapper obj's underlying member method code with example usage: obj._to_tensor() and returns: data