Update nbformat_minor

Author: ageron

17_autoencoders_and_gans.ipynb

@@ -65,7 +65,7 @@
     "from tensorflow import keras\n",
     "assert tf.__version__ >= \"2.0\"\n",
     "\n",
-    "if not tf.test.is_gpu_available():\n",
+    "if not tf.config.list_physical_devices('GPU'):\n",
     "    print(\"No GPU was detected. LSTMs and CNNs can be very slow without a GPU.\")\n",
     "    if IS_COLAB:\n",
     "        print(\"Go to Runtime > Change runtime and select a GPU hardware accelerator.\")\n",
@@ -4680,7 +4680,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.6"
   },
   "nav_menu": {
    "height": "381px",
@@ -4697,5 +4697,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }

19_training_and_deploying_at_scale.ipynb

@@ -63,7 +63,7 @@
     "from tensorflow import keras\n",
     "assert tf.__version__ >= \"2.0\"\n",
     "\n",
-    "if not tf.test.is_gpu_available():\n",
+    "if not tf.config.list_physical_devices('GPU'):\n",
     "    print(\"No GPU was detected. CNNs can be very slow without a GPU.\")\n",
     "    if IS_COLAB:\n",
     "        print(\"Go to Runtime > Change runtime and select a GPU hardware accelerator.\")\n",
@@ -285,8 +285,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The given SavedModel contains the following tag-sets:\r\n",
-      "serve\r\n"
+      "The given SavedModel contains the following tag-sets:\n",
+      "serve\n"
      ]
     }
    ],
@@ -303,9 +303,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The given SavedModel MetaGraphDef contains SignatureDefs with the following keys:\r\n",
-      "SignatureDef key: \"__saved_model_init_op\"\r\n",
-      "SignatureDef key: \"serving_default\"\r\n"
+      "The given SavedModel MetaGraphDef contains SignatureDefs with the following keys:\n",
+      "SignatureDef key: \"__saved_model_init_op\"\n",
+      "SignatureDef key: \"serving_default\"\n"
      ]
     }
    ],
@@ -322,17 +322,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The given SavedModel SignatureDef contains the following input(s):\r\n",
-      "  inputs['flatten_2_input'] tensor_info:\r\n",
-      "      dtype: DT_FLOAT\r\n",
-      "      shape: (-1, 28, 28, 1)\r\n",
-      "      name: serving_default_flatten_2_input:0\r\n",
-      "The given SavedModel SignatureDef contains the following output(s):\r\n",
-      "  outputs['dense_5'] tensor_info:\r\n",
-      "      dtype: DT_FLOAT\r\n",
-      "      shape: (-1, 10)\r\n",
-      "      name: StatefulPartitionedCall:0\r\n",
-      "Method name is: tensorflow/serving/predict\r\n"
+      "The given SavedModel SignatureDef contains the following input(s):\n",
+      "  inputs['flatten_2_input'] tensor_info:\n",
+      "      dtype: DT_FLOAT\n",
+      "      shape: (-1, 28, 28, 1)\n",
+      "      name: serving_default_flatten_2_input:0\n",
+      "The given SavedModel SignatureDef contains the following output(s):\n",
+      "  outputs['dense_5'] tensor_info:\n",
+      "      dtype: DT_FLOAT\n",
+      "      shape: (-1, 10)\n",
+      "      name: StatefulPartitionedCall:0\n",
+      "Method name is: tensorflow/serving/predict\n"
      ]
     }
    ],
@@ -350,30 +350,30 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r\n",
-      "MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:\r\n",
-      "\r\n",
-      "signature_def['__saved_model_init_op']:\r\n",
-      "  The given SavedModel SignatureDef contains the following input(s):\r\n",
-      "  The given SavedModel SignatureDef contains the following output(s):\r\n",
-      "    outputs['__saved_model_init_op'] tensor_info:\r\n",
-      "        dtype: DT_INVALID\r\n",
-      "        shape: unknown_rank\r\n",
-      "        name: NoOp\r\n",
-      "  Method name is: \r\n",
-      "\r\n",
-      "signature_def['serving_default']:\r\n",
-      "  The given SavedModel SignatureDef contains the following input(s):\r\n",
-      "    inputs['flatten_2_input'] tensor_info:\r\n",
-      "        dtype: DT_FLOAT\r\n",
-      "        shape: (-1, 28, 28, 1)\r\n",
-      "        name: serving_default_flatten_2_input:0\r\n",
-      "  The given SavedModel SignatureDef contains the following output(s):\r\n",
-      "    outputs['dense_5'] tensor_info:\r\n",
-      "        dtype: DT_FLOAT\r\n",
-      "        shape: (-1, 10)\r\n",
-      "        name: StatefulPartitionedCall:0\r\n",
-      "  Method name is: tensorflow/serving/predict\r\n"
+      "\n",
+      "MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:\n",
+      "\n",
+      "signature_def['__saved_model_init_op']:\n",
+      "  The given SavedModel SignatureDef contains the following input(s):\n",
+      "  The given SavedModel SignatureDef contains the following output(s):\n",
+      "    outputs['__saved_model_init_op'] tensor_info:\n",
+      "        dtype: DT_INVALID\n",
+      "        shape: unknown_rank\n",
+      "        name: NoOp\n",
+      "  Method name is: \n",
+      "\n",
+      "signature_def['serving_default']:\n",
+      "  The given SavedModel SignatureDef contains the following input(s):\n",
+      "    inputs['flatten_2_input'] tensor_info:\n",
+      "        dtype: DT_FLOAT\n",
+      "        shape: (-1, 28, 28, 1)\n",
+      "        name: serving_default_flatten_2_input:0\n",
+      "  The given SavedModel SignatureDef contains the following output(s):\n",
+      "    outputs['dense_5'] tensor_info:\n",
+      "        dtype: DT_FLOAT\n",
+      "        shape: (-1, 10)\n",
+      "        name: StatefulPartitionedCall:0\n",
+      "  Method name is: tensorflow/serving/predict\n"
      ]
     }
    ],
@@ -1677,9 +1677,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }