code: def _to_tensor(self):
      data = self.model_inputs[0].zvalue
      origin_target = self._input_list[1].zvalue
      target = (
          origin_target.get_weight()
          if isinstance(origin_target, Parameter)
          else origin_target
      )
      if self.is_batch:
          targetshape = [int(i) for i in target][1:]
          return zlayers.Reshape(targetshape)(
              self.model_inputs[0].zvalue
          )
      else:
          targetshape = [int(i) for i in target]
          return zlayers.KerasLayerWrapper(
              blayer.Reshape(targetshape, batch_mode=False)
          )(data)
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/onnx/mapper/reshape.py
imports: import bigdl.nn.layer
  import numpy
  import zoo.pipeline.api.keras.layers
  from zoo.pipeline.api.autograd import Parameter
  from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
label_desc: Use image node_id 3 for calling the ReshapeMapper obj's underlying member method code with example usage: obj._to_tensor() and returns: zlayers, zlayers