code: def __init__(self, node, initializer, _all_tensors):
      super(SqueezeMapper, self).__init__(
          node, initializer, _all_tensors
      )
  
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 1 to create a new SqueezeMapper object from inherited base classes: OperatorMapper with example: obj = SqueezeMapper(node, initializer, _all_tensors)