From aa3ffd8626ab5c511e512600fd64e76df12f1780 Mon Sep 17 00:00:00 2001
From: Tao Sun <suntao@amazon.com>
Date: Wed, 14 Sep 2022 16:10:06 -0700
Subject: [PATCH] Change to pytorch 1.8 python 3.6 kernel

---
 .../visual_object_detection.ipynb             | 134 ++++--------------
 1 file changed, 31 insertions(+), 103 deletions(-)

diff --git a/introduction_to_applying_machine_learning/visual_object_detection/visual_object_detection.ipynb b/introduction_to_applying_machine_learning/visual_object_detection/visual_object_detection.ipynb
index 6486fffa15..b819ec2007 100644
--- a/introduction_to_applying_machine_learning/visual_object_detection/visual_object_detection.ipynb
+++ b/introduction_to_applying_machine_learning/visual_object_detection/visual_object_detection.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "05958c42",
    "metadata": {
     "papermill": {
      "duration": 0.075676,
@@ -46,6 +45,7 @@
     "8. [Conclusion](#8.-Conclusion)\n",
     "\n",
     "---\n",
+    "\n",
     "** **ATTENTION** ** \n",
     "\n",
     "* Running the notebook end-to-end will take 8~9 hours. We changed some parameter values so that the notebook took much shorter time to finish, at the cost of model trainig non-convergence.\n",
@@ -58,7 +58,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "753273bd-4ef7-4062-a025-b0a7ce67faa4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,8 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "729bf0b1",
+   "execution_count": 14,
    "metadata": {
     "papermill": {
      "duration": 6.156173,
@@ -94,15 +92,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "2b79fa96",
+   "execution_count": 4,
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-08-05T08:10:50.264169Z",
-     "iopub.status.busy": "2022-08-05T08:10:50.263691Z",
-     "iopub.status.idle": "2022-08-05T08:10:55.087716Z",
-     "shell.execute_reply": "2022-08-05T08:10:55.088115Z"
-    },
     "papermill": {
      "duration": 4.916572,
      "end_time": "2022-08-05T08:10:55.088245",
@@ -153,8 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "9de5f4e6",
+   "execution_count": 15,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -175,12 +165,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "b2c5140e",
+   "execution_count": 16,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
-    }
+    },
+    "scrolled": true
    },
    "outputs": [],
    "source": [
@@ -205,7 +195,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "07e4f2ab",
    "metadata": {
     "papermill": {
      "duration": 0.087127,
@@ -235,8 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "93bd8420",
+   "execution_count": 7,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T08:10:55.622902Z",
@@ -290,8 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "7490f8bf",
+   "execution_count": 8,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T08:10:56.347290Z",
@@ -317,7 +304,7 @@
      "output_type": "stream",
      "text": [
       "                           PRE images/\n",
-      "2022-08-10 23:46:00     368437 annotations.json\n"
+      "2022-09-09 18:51:38     368437 annotations.json\n"
      ]
     }
    ],
@@ -343,7 +330,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e0188876",
    "metadata": {
     "papermill": {
      "duration": 0.088721,
@@ -371,9 +357,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "b7fbe62c",
+   "execution_count": 13,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-08-05T08:11:13.050208Z",
+     "iopub.status.busy": "2022-08-05T08:11:13.049551Z",
+     "iopub.status.idle": "2022-08-05T08:11:20.915473Z",
+     "shell.execute_reply": "2022-08-05T08:11:20.915849Z"
+    },
     "papermill": {
      "duration": 7.960309,
      "end_time": "2022-08-05T08:11:20.915977",
@@ -393,8 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "3bdb6ed7-765a-4ca3-b5c4-dd34efb96de1",
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -429,15 +419,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "d3851a1e",
+   "execution_count": 12,
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-08-05T08:11:24.133349Z",
-     "iopub.status.busy": "2022-08-05T08:11:24.132653Z",
-     "iopub.status.idle": "2022-08-05T08:40:57.813533Z",
-     "shell.execute_reply": "2022-08-05T08:40:57.813888Z"
-    },
     "papermill": {
      "duration": 1773.804904,
      "end_time": "2022-08-05T08:40:57.814014",
@@ -456,6 +439,7 @@
     "# Train Type 1 (legacy) OD model\n",
     "job_name_prefix = \"od-Type1\"\n",
     "\n",
+    "\n",
     "num_classes = 6\n",
     "num_training_samples = 1152  # total 1800 images, use 64% for training\n",
     "\n",
@@ -518,7 +502,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "db34c93d",
    "metadata": {
     "papermill": {
      "duration": 0.213955,
@@ -540,8 +523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "a8b2ebfd",
+   "execution_count": 41,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T08:40:58.683010Z",
@@ -573,13 +555,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "All metrics: ['train:cross_entropy', 'validation:mAP', 'train:smooth_l1', 'train:progress']\n",
-      "Final validation:mAP = 0.3013\n"
+      "All metrics: ['validation:mAP', 'train:progress', 'train:cross_entropy', 'train:smooth_l1']\n",
+      "Final validation:mAP = 0.0532\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1296x360 with 3 Axes>"
       ]
@@ -628,7 +610,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2d8ef6b0",
    "metadata": {
     "papermill": {
      "duration": 0.218728,
@@ -651,7 +632,6 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "7773d9c9",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T08:41:00.893151Z",
@@ -691,7 +671,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d911c7ec",
    "metadata": {
     "papermill": {
      "duration": 0.22511,
@@ -717,15 +696,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "d17e4fa1",
+   "execution_count": 4,
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-08-05T08:46:07.153920Z",
-     "iopub.status.busy": "2022-08-05T08:46:07.153402Z",
-     "iopub.status.idle": "2022-08-05T09:45:47.497912Z",
-     "shell.execute_reply": "2022-08-05T09:45:47.498253Z"
-    },
     "papermill": {
      "duration": 3580.578995,
      "end_time": "2022-08-05T09:45:47.498375",
@@ -738,24 +710,7 @@
     },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No finished training job found associated with this estimator. Please make sure this estimator is only used for building workflow config\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train Type 1 (legacy) OD model with HPO -------------------\n",
-      "...........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................!\n",
-      "Instance ml.p3.2xlarge is available !\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "tuning_job_name = \"od-Type1-HPO\"\n",
     "\n",
@@ -806,7 +761,7 @@
     "            objective_metric_name,\n",
     "            hyperparameter_ranges,\n",
     "            objective_type=\"Maximize\",\n",
-    "            max_jobs=max_jobs,\n",
+    "            max_jobs=max_jobs,           # <-- increase to 20 or more\n",
     "            max_parallel_jobs=max_parallel_jobs,  # <- increase this number if more EC2 instances are available\n",
     "            base_tuning_job_name=tuning_job_name,\n",
     "        )\n",
@@ -831,7 +786,6 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "eaab4486",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T09:45:48.928117Z",
@@ -1261,7 +1215,6 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "821c58af",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T09:45:50.790276Z",
@@ -1358,7 +1311,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12ec7b9d",
    "metadata": {
     "papermill": {
      "duration": 0.718616,
@@ -1381,7 +1333,6 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "14c55aac",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T09:45:55.265867Z",
@@ -1427,7 +1378,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be2b0426",
    "metadata": {
     "papermill": {
      "duration": 0.727216,
@@ -1468,7 +1418,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f0624ca1",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T09:51:34.423432Z",
@@ -1583,7 +1532,6 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "e3d0b6f3",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T11:20:35.631189Z",
@@ -1637,7 +1585,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0f9242f4",
    "metadata": {
     "papermill": {
      "duration": 0.929678,
@@ -1658,7 +1605,6 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "313d65ba",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T11:20:40.714712Z",
@@ -1720,7 +1666,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1da480eb",
    "metadata": {
     "papermill": {
      "duration": 0.889437,
@@ -1743,7 +1688,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e44d10c8",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T11:25:47.553857Z",
@@ -1833,7 +1777,6 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "7d906ac7",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:27:26.353071Z",
@@ -2199,7 +2142,6 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "55864699",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:27:31.544907Z",
@@ -2276,7 +2218,6 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "65f3ebec",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:27:38.045462Z",
@@ -2331,7 +2272,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "896d19b7",
    "metadata": {
     "papermill": {
      "duration": 2.366347,
@@ -2356,7 +2296,6 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "4f3f7acb",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:32:20.182827Z",
@@ -2402,7 +2341,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2743afad",
    "metadata": {
     "papermill": {
      "duration": 2.360117,
@@ -2423,7 +2361,6 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "603d689c",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:32:29.650360Z",
@@ -2499,7 +2436,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c7ec647a",
    "metadata": {
     "papermill": {
      "duration": 2.402319,
@@ -2520,7 +2456,6 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "18053f7d",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:32:48.589043Z",
@@ -2554,7 +2489,6 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "ea010b2f",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:32:53.357762Z",
@@ -2671,7 +2605,6 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "3aa9a63a",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:36:15.996272Z",
@@ -2742,7 +2675,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba25eecc",
    "metadata": {
     "papermill": {
      "duration": 2.391113,
@@ -2765,7 +2697,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1553f93d",
    "metadata": {
     "papermill": {
      "duration": 2.403376,
@@ -2790,7 +2721,6 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "42409d2e",
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-08-05T14:36:32.833309Z",
@@ -2830,7 +2760,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ae37f34a",
    "metadata": {
     "papermill": {
      "duration": 2.415178,
@@ -2859,7 +2788,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "02009a60",
    "metadata": {
     "papermill": {
      "duration": 2.382722,
@@ -2878,11 +2806,11 @@
   }
  ],
  "metadata": {
-  "instance_type": "ml.t3.medium",
+  "instance_type": "ml.g4dn.xlarge",
   "kernelspec": {
-   "display_name": "Python 3 (PyTorch 1.10 Python 3.8 CPU Optimized)",
+   "display_name": "Python 3 (PyTorch 1.8 Python 3.6 CPU Optimized)",
    "language": "python",
-   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-2:236514542706:image/pytorch-1.10-cpu-py38"
+   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-2:236514542706:image/1.8.1-cpu-py36"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2894,7 +2822,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.6.13"
   },
   "papermill": {
    "default_parameters": {},