updated fastai example

advanced_functionality/fastai_oxford_pets/daemon.json

@@ -1,9 +1,7 @@
-
 {
-	"default-runtime": "nvidia",
     "runtimes": {
         "nvidia": {
-            "path": "/usr/bin/nvidia-container-runtime",
+            "path": "nvidia-container-runtime",
             "runtimeArgs": []
         }
     },

advanced_functionality/fastai_oxford_pets/fastai_lesson1_sagemaker_example.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# fastai Lesson 1 - Oxford Pets example with Amazon SageMaker\n",
+    "# fastai: lesson 1 - Pets example with Amazon SageMaker\n",
     "\n",
     "## Pre-requisites\n",
     "\n",
@@ -15,15 +15,6 @@
     "**Note, you can only run a single local notebook at one time.**"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!/bin/bash ./setup.sh"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -63,6 +54,22 @@
     "- The IAM role arn used to give training and hosting access to your data. See the documentation for how to create these. Note, if more than one role is required for notebook instances, training, and/or hosting, please replace the sagemaker.get_execution_role() with appropriate full IAM role arn string(s)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you want to test your training or hosting of your fastai model then run the following cell to update the Docker daemon default shared memory to 2gb. Only run this command if you are using the `ml.p3.2xlarge` instance type."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! sudo cp daemon.json /etc/docker/daemon.json && sudo pkill -SIGHUP dockerd"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -182,7 +189,7 @@
     "\n",
     "The `PyTorch` class allows us to run our training function on SageMaker. We need to configure it with our training script, an IAM role, the number of training instances, and the training instance type. \n",
     "\n",
-    "For local training with GPU, we could set this to ```local_gpu```.  In this case, `instance_type` was set above based on your whether you're running a GPU instance. If `instance_type` is set to a SageMaker instance type (e.g. ml.p2.xlarge) then the training will happen on SageMaker.\n",
+    "For local training with GPU, we could set this to ```local_gpu```.  In this case, `instance_type` was set below based on whether you're running a GPU instance. If `instance_type` is set to a SageMaker instance type (e.g. ml.p2.xlarge) then the training will happen on SageMaker.\n",
     "\n",
     "The parameter `data_location` determines where the training data is. If training locally then it can be set to the local file system to avoid having to download from S3. If training on SageMaker then it needs to reference the training data on S3.\n",
     "\n",
@@ -352,20 +359,13 @@
    "source": [
     "pets_estimator.delete_endpoint()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "conda_pytorch_p36",
    "language": "python",
-   "name": "fastai"
+   "name": "conda_pytorch_p36"
   },
   "language_info": {
    "codemirror_mode": {
@@ -377,7 +377,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.6.5"
   },
   "notice": "Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.  Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License."
  },