code: def _extract_trainable_values(self):
      y = self._input_list[1]
      z = self._input_list[2]
  
      if "transB" in self.onnx_attr and self.onnx_attr["transB"]:
          y.zvalue = np.transpose(y.zvalue)
      alpha = (
          self.onnx_attr["alpha"] if "alpha" in self.onnx_attr else 1.0
      )
      beta = self.onnx_attr["beta"] if "beta" in self.onnx_attr else 1.0
      return [alpha * y.zvalue, beta * z.zvalue]
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/onnx/mapper/gemm.py
imports: import numpy
  import zoo.pipeline.api.keras.layers
  from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
label_desc: Use image node_id 3 for calling the GemmMapper obj's underlying member method code with example usage: obj._extract_trainable_values() and returns: list