code: def _to_tensor(self):
      assert (
          len(self.model_inputs) == 1
      ), "Clip accept single input only"
      min = int(self.onnx_attr["min"])
      max = int(self.onnx_attr["max"])
      assert min <= max, "Min must be smaller or equal than Max"
      clip = KerasLayerWrapper(Clamp(min, max))
      return clip(self.model_inputs[0].zvalue)
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/onnx/mapper/clip.py
imports: from zoo.pipeline.api.keras.layers import KerasLayerWrapper
  from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
  import numpy
  import zoo.pipeline.api.keras.layers
  from bigdl.nn.layer import Clamp
label_desc: Use image node_id 2 for calling the ClipMapper obj's underlying member method code with example usage: obj._to_tensor() and returns: clip