dev(C3W2 ugl3 and assignment): remove note about fallback

Author: cfav-dev

Course 3 - Advance Computer Vision/W2/assignment/C3W2_Assignment.ipynb

@@ -50,33 +50,6 @@
         "## Installation"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "**Use the Fallback Runtime**\n",
-        "\n",
-        "*The autograder for this lab uses files generated from a previous Colab runtime. While our team updates it, please use the fallback runtime to ensure your submission is evaluated correctly and you can install the required packages. Otherwise, you might get an error after submitting or you might not be able to run some cells in this notebook. [Please follow the instructions here to use the fallback](https://community.deeplearning.ai/t/tf-at-using-the-fallback-runtime/530596). The test below will check if Colab is using the expected runtime.*"
-      ],
-      "metadata": {
-        "id": "lTVUSW_3mxbH"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import sys\n",
-        "\n",
-        "EXPECTED = 10\n",
-        "CURRENT = sys.version_info[1]\n",
-        "\n",
-        "assert CURRENT == EXPECTED, \"Please use the Fallback runtime as mentioned above\""
-      ],
-      "metadata": {
-        "id": "XKEs7vzqmyDh"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -2467,7 +2440,9 @@
       "source": [
         "## Run the training loop\n",
         "\n",
-        "Run the training loop using the training step function that you just defined."
+        "Run the training loop using the training step function that you just defined.\n",
+        "\n",
+        "**Note:** *This lab is optimized for a previous Colab runtime. This is no longer supported so the lab will have to use CPU (instead of GPU) for model training. It will take around 25 minutes to complete the training loop.*"
       ]
     },
     {
@@ -2934,4 +2909,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}

Course 3 - Advance Computer Vision/W2/ungraded_labs/C3_W2_Lab_3_Interactive_Eager_Few_Shot_OD.ipynb

@@ -20,7 +20,9 @@
         "Welcome to the Eager Few Shot Object Detection Colab --- in this colab we demonstrate fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint.\n",
         "Training runs in eager mode.\n",
         "\n",
-        "Estimated time to run through this colab (with GPU): < 5 minutes."
+        "Estimated time to run through this colab \n",
+        "* with GPU: < 5 minutes.\n",
+        "* with CPU: 25 minutes."
       ]
     },
     {
@@ -29,25 +31,7 @@
         "id": "4CDcwoBxk5ua"
       },
       "source": [
-        "**Use the Fallback Runtime**\n",
-        "\n",
-        "*This lab is optimized for a previous Colab runtime. [Please follow the instructions here to use the fallback](https://community.deeplearning.ai/t/tf-at-using-the-fallback-runtime/530596). This will ensure that you can use the GPU and run the entire notebook successfully. The test below will check if Colab is using the expected runtime.*"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "nK2hoFfAk6Hh"
-      },
-      "outputs": [],
-      "source": [
-        "import sys\n",
-        "\n",
-        "EXPECTED = 10\n",
-        "CURRENT = sys.version_info[1]\n",
-        "\n",
-        "assert CURRENT == EXPECTED, \"Please use the Fallback runtime as mentioned above\""
+        "**Note**: *This lab is optimized for a previous Colab runtime. This is no longer supported so the lab will have to use CPU for training.*"
       ]
     },
     {