Upgrade TensorFlow serving version (aws#786)

Author: icywang86rui

sagemaker-python-sdk/tensorflow_serving_container/tensorflow_serving_container.ipynb

@@ -191,7 +191,7 @@
  "# predictable model.\n",
  "env = {'SAGEMAKER_TFS_DEFAULT_MODEL_NAME': 'mobilenet_v2_140_224'}\n",
  "\n",
- "model = Model(model_data=model_data, role=sagemaker_role, framework_version=1.12, env=env)\n",
+ "model = Model(model_data=model_data, role=sagemaker_role, framework_version='1.13', env=env)\n",
  "predictor = model.deploy(initial_instance_count=1, instance_type='ml.c5.xlarge')"
  ]
  },

sagemaker-python-sdk/tensorflow_serving_using_elastic_inference_with_your_own_model/tensorflow_serving_pretrained_model_elastic_inference.ipynb

@@ -105,7 +105,7 @@
  "\n",
  "tensorflow_model = Model(model_data=saved_model,\n",
  " role=role,\n",
- " framework_version='1.12')"
+ " framework_version='1.13')"
  ]
  },
  {