Update MXNet ONNX Super-resolution notebook to use MXNet 1.3 (aws#763)

Author: laurenyu

sagemaker-python-sdk/mxnet_onnx_superresolution/mxnet_onnx.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Importing and hosting an ONNX model with MXNet 1.2.1\n",
+    "# Importing and hosting an ONNX model with MXNet\n",
     "\n",
     "The [Open Neural Network Exchange](https://onnx.ai/) (ONNX) is an open format for representing deep learning models with its extensible computation graph model and definitions of built-in operators and standard data types.\n",
     "\n",
@@ -123,7 +123,7 @@
     "* `model_data`: the S3 location of the model data\n",
     "* `entry_point`: the script for model hosting that we looked at above\n",
     "* `role`: the IAM role used\n",
-    "* `framework_version`: the MXNet version in use, in this case '1.2.1'\n",
+    "* `framework_version`: the MXNet version in use\n",
     "\n",
     "You can read more about creating an `MXNetModel` object in the [SageMaker Python SDK API docs](https://sagemaker.readthedocs.io/en/latest/sagemaker.mxnet.html#mxnet-model)."
    ]
@@ -139,7 +139,8 @@
     "mxnet_model = MXNetModel(model_data=model_data,\n",
     "                         entry_point='super_resolution.py',\n",
     "                         role=role,\n",
-    "                         framework_version='1.2.1')"
+    "                         py_version='py3',\n",
+    "                         framework_version='1.3.0')"
    ]
   },
   {