Update graph-NSL tutorials to i) use the default TF version in colab, which is currently TF 2.2.0-rc4, and ii) replace a deprecated API when checking for GPU availability.

PiperOrigin-RevId: 310414689

Author: arjung

g3doc/tutorials/graph_keras_lstm_imdb.ipynb

@@ -114,22 +114,8 @@
       "source": [
         "## Requirements\n",
         "\n",
-        "1.  Install TensorFlow 2.0.x to create an interactive development environment with eager execution.\n",
-        "2.  Install the Neural Structured Learning package.\n",
-        "3.  Install tensorflow-hub."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 0,
-      "metadata": {
-        "colab": {},
-        "colab_type": "code",
-        "id": "yDUe7gk_ztZ-"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install tensorflow-gpu==2.0.1"
+        "1.  Install the Neural Structured Learning package.\n",
+        "2.  Install tensorflow-hub."
       ]
     },
     {
@@ -172,8 +158,6 @@
         "import neural_structured_learning as nsl\n",
         "\n",
         "import tensorflow as tf\n",
-        "tf.compat.v1.enable_v2_behavior()\n",
-        "\n",
         "import tensorflow_hub as hub\n",
         "\n",
         "# Resets notebook state\n",
@@ -182,7 +166,9 @@
         "print(\"Version: \", tf.__version__)\n",
         "print(\"Eager mode: \", tf.executing_eagerly())\n",
         "print(\"Hub version: \", hub.__version__)\n",
-        "print(\"GPU is\", \"available\" if tf.test.is_gpu_available() else \"NOT AVAILABLE\")"
+        "print(\n",
+        "    \"GPU is\",\n",
+        "    \"available\" if tf.config.list_physical_devices(\"GPU\") else \"NOT AVAILABLE\")"
       ]
     },
     {
@@ -449,10 +435,6 @@
       },
       "outputs": [],
       "source": [
-        "# This is necessary because hub.KerasLayer assumes tensor hashability, which\n",
-        "# is not supported in eager mode.\n",
-        "tf.compat.v1.disable_tensor_equality()\n",
-        "\n",
         "pretrained_embedding = 'https://tfhub.dev/google/tf2-preview/gnews-swivel-20dim/1'\n",
         "\n",
         "hub_layer = hub.KerasLayer(\n",

g3doc/tutorials/graph_keras_mlp_cora.ipynb

@@ -115,21 +115,7 @@
         "id": "hgSLDi0SyBuO"
       },
       "source": [
-        "1.  Install TensorFlow 2.0.x to create an interactive development environment with eager execution.\n",
-        "2.  Install the Neural Structured Learning package."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 0,
-      "metadata": {
-        "colab": {},
-        "colab_type": "code",
-        "id": "gh6K6Onyy5bd"
-      },
-      "outputs": [],
-      "source": [
-        "!pip install tensorflow-gpu==2.0.1"
+        "Install the Neural Structured Learning package."
       ]
     },
     {
@@ -174,7 +160,9 @@
         "\n",
         "print(\"Version: \", tf.__version__)\n",
         "print(\"Eager mode: \", tf.executing_eagerly())\n",
-        "print(\"GPU is\", \"available\" if tf.test.is_gpu_available() else \"NOT AVAILABLE\")"
+        "print(\n",
+        "    \"GPU is\",\n",
+        "    \"available\" if tf.config.list_physical_devices(\"GPU\") else \"NOT AVAILABLE\")"
       ]
     },
     {