code: def _extract_trainable_values(self):
      if len(self._input_list) > 2:
          return [
              self._input_list[1].zvalue,
              self._input_list[2].zvalue,
          ]
      else:
          return [self._input_list[1].zvalue]
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/onnx/mapper/conv.py
imports: from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
  from zoo.pipeline.api.onnx.onnx_helper import OnnxHelper
  import zoo.pipeline.api.keras.layers
  import numpy
label_desc: Use image node_id 3 for calling the ConvMapper obj's underlying member method code with example usage: obj._extract_trainable_values() and returns: list, list