code: def _to_tensor(self):
      if "mask" in self.onnx_attr:
          raise Exception("We don't support mask for now")
      ratio = float(self.onnx_attr["ratio"])
      if (
          (not OnnxLoader.training)
          and "is_test" in self.onnx_attr
          and self.onnx_attr["is_test"]
      ):
          return self.model_inputs[0].zvalue
      dropout = zlayers.Dropout(p=ratio)
      return dropout(self.model_inputs[0].zvalue)
  
imports: import zoo.pipeline.api.keras.layers
  from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
  from zoo.pipeline.api.onnx.onnx_loader import OnnxLoader
label_desc: Use image node_id 2 for calling the DropoutMapper obj's underlying member method code with example usage: obj._to_tensor() and returns: dropout, self