code: def test_model_custom_serialization(
      sagemaker_session,
      mxnet_inference_version,
      mxnet_inference_py_version,
      skip_if_mms_version,
  ):
      model = MXNetModel(
          MODEL_DATA,
          role=ROLE,
          entry_point=SCRIPT_PATH,
          framework_version=mxnet_inference_version,
          py_version=mxnet_inference_py_version,
          sagemaker_session=sagemaker_session,
      )
      custom_serializer = Mock()
      custom_deserializer = Mock()
      predictor = model.deploy(
          1,
          CPU,
          serializer=custom_serializer,
          deserializer=custom_deserializer,
      )
      assert isinstance(predictor, MXNetPredictor)
      assert predictor.serializer is custom_serializer
      assert predictor.deserializer is custom_deserializer
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  import pytest
  from mock import MagicMock, Mock, ANY
  from mock import patch
  from pkg_resources import parse_version
  from sagemaker.fw_utils import UploadedCode
  from sagemaker.drift_check_baselines import DriftCheckBaselines
  from sagemaker.metadata_properties import MetadataProperties
  from sagemaker.model_metrics import FileSource, MetricsSource, ModelMetrics
  from sagemaker.mxnet import defaults
  from sagemaker.mxnet import MXNet
  from sagemaker.mxnet import MXNetPredictor, MXNetModel
  from sagemaker.session_settings import SessionSettings
label_desc: Use image node_id 17 for calling a global function with example usage: test_model_custom_serialization(sagemaker_session, mxnet_inference_version, mxnet_inference_py_version, skip_if_mms_version) without return types