Removing unused imports, cells and __future__ from the notebooks. (#908)

gabrieldemarmiesse · WindQAQ · commit ccdc4b09e39c · 2020-01-20T12:42:36.000-08:00
* Edit the template notebook.

* Cleaned up other notebooks.

* Removed empty cell.

* Clean up of the notebooks.

* Moved imports.
diff --git a/docs/tutorials/_template.ipynb b/docs/tutorials/_template.ipynb
@@ -56,10 +56,10 @@
     "    <a target=\"_blank\" href=\"https://www.tensorflow.org/addons/tutorials/image_ops\"><img src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" />View on TensorFlow.org</a>\n",
     "  </td>\n",
     "  <td>\n",
-    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/addons/blob/master/docs/tutorials/image_ops.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/addons/blob/master/docs/tutorials/_template.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
     "  </td>\n",
     "  <td>\n",
-    "    <a target=\"_blank\" href=\"https://github.com/tensorflow/addons/blob/master/docs/tutorials/image_ops.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
+    "    <a target=\"_blank\" href=\"https://github.com/tensorflow/addons/blob/master/docs/tutorials/_template.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
     "  </td>\n",
     "      <td>\n",
     "    <a href=\"https://storage.googleapis.com/tensorflow_docs/docs/docs/tutorials/image_ops.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" />Download notebook</a>\n",
@@ -109,19 +109,6 @@
     "[Put all your imports and installs up into a setup section.]"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "8n8UUkG9rx68"
-   },
-   "outputs": [],
-   "source": [
-    "from __future__ import absolute_import, division, print_function, unicode_literals"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -154,7 +141,7 @@
     }
    ],
    "source": [
-    "!pip install --no-deps tensorflow-addons~=0.6"
+    "!pip install --no-deps tensorflow-addons~=0.7"
    ]
   },
   {
@@ -195,9 +182,8 @@
     "* Include the button-bar immediately after the `H1`.\n",
     "* Include an overview section before any code.\n",
     "* Put all your installs and imports in a setup section.\n",
-    "* Always include the `__future__` imports.\n",
-    "* Write Python 3 compatible code.\n",
-    "* Keep code and text cells as brief as posssible.\n",
+    "* Write Python 3 compatible code. You don't have to worry about Python 2 compatibility.\n",
+    "* Keep code and text cells as brief as possible.\n",
     "* Avoid leaving an empty cell at the end of the notebook."
    ]
   },
@@ -252,6 +238,8 @@
    },
    "outputs": [],
    "source": [
+    "import numpy as np\n",
+    "\n",
     "result = model(tf.constant(np.random.randn(10,5), dtype = tf.float32)).numpy()\n",
     "\n",
     "print(\"min:\", result.min())\n",
diff --git a/docs/tutorials/image_ops.ipynb b/docs/tutorials/image_ops.ipynb
@@ -123,19 +123,6 @@
         "# Setup"
       ]
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab_type": "code",
-        "id": "ou0vRZKPWh4X",
-        "colab": {}
-      },
-      "source": [
-        "from __future__ import absolute_import, division, print_function, unicode_literals"
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
     {
       "cell_type": "code",
       "metadata": {
diff --git a/docs/tutorials/layers_normalizations.ipynb b/docs/tutorials/layers_normalizations.ipynb
@@ -122,19 +122,6 @@
     "### Install Tensorflow 2.0 and Tensorflow-Addons"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "AOExuXLZSZNE"
-   },
-   "outputs": [],
-   "source": [
-    "from __future__ import absolute_import, division, print_function"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -301,10 +288,10 @@
     "  tf.keras.layers.Conv2D(filters=10, kernel_size=(3,3),data_format=\"channels_last\"),\n",
     "  # LayerNorm Layer\n",
     "  tfa.layers.InstanceNormalization(axis=3, \n",
-    "                                                  center=True, \n",
-    "                                                  scale=True,\n",
-    "                                                  beta_initializer=\"random_uniform\",\n",
-    "                                                  gamma_initializer=\"random_uniform\"),\n",
+    "                                   center=True, \n",
+    "                                   scale=True,\n",
+    "                                   beta_initializer=\"random_uniform\",\n",
+    "                                   gamma_initializer=\"random_uniform\"),\n",
     "  tf.keras.layers.Flatten(),\n",
     "  tf.keras.layers.Dense(128, activation='relu'),\n",
     "  tf.keras.layers.Dropout(0.2),\n",
diff --git a/docs/tutorials/layers_weightnormalization.ipynb b/docs/tutorials/layers_weightnormalization.ipynb
@@ -102,19 +102,6 @@
     "## Setup"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "IqR2PQG4ZaZ0"
-   },
-   "outputs": [],
-   "source": [
-    "from __future__ import absolute_import, division, print_function, unicode_literals"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/docs/tutorials/losses_triplet.ipynb b/docs/tutorials/losses_triplet.ipynb
@@ -144,19 +144,6 @@
         "## Setup"
       ]
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab_type": "code",
-        "id": "Bv-CVfbzYblP",
-        "colab": {}
-      },
-      "source": [
-        "from __future__ import absolute_import, division, print_function, unicode_literals"
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
     {
       "cell_type": "code",
       "metadata": {
@@ -212,8 +199,7 @@
       },
       "source": [
         "import tensorflow_addons as tfa\n",
-        "import tensorflow_datasets as tfds\n",
-        "from matplotlib import pyplot as plt"
+        "import tensorflow_datasets as tfds",
       ],
       "execution_count": 0,
       "outputs": []
@@ -401,19 +387,6 @@
         "You can see the results of our embedded test data when visualized with UMAP:\n",
         "![embedding](https://user-images.githubusercontent.com/18154355/61600295-e6470380-abfd-11e9-8a00-2b25e7e6916f.png)\n"
       ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab_type": "code",
-        "id": "MuaB5oD5t1YV",
-        "colab": {}
-      },
-      "source": [
-        ""
-      ],
-      "execution_count": 0,
-      "outputs": []
     }
   ]
 }
diff --git a/docs/tutorials/networks_seq2seq_nmt.ipynb b/docs/tutorials/networks_seq2seq_nmt.ipynb
@@ -108,19 +108,6 @@
         "# **Setup**"
       ]
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab_type": "code",
-        "id": "1bUHYPhlF-Ql",
-        "colab": {}
-      },
-      "source": [
-        "from __future__ import absolute_import, division, print_function, unicode_literals"
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
     {
       "cell_type": "code",
       "metadata": {
@@ -134,9 +121,7 @@
         "except:\n",
         "  pass\n",
         "!pip install -q --no-deps tensorflow-addons~=0.7\n",
-        "!pip install nltk\n",
-        "import tensorflow as tf\n",
-        "import tensorflow_addons as tfa"
+        "!pip install nltk"
       ],
       "execution_count": 0,
       "outputs": []
@@ -186,13 +171,10 @@
         "colab": {}
       },
       "source": [
-        "import csv\n",
         "import string\n",
         "import re\n",
-        "from pickle import dump\n",
+		"from pickle import load\n",
         "from unicodedata import normalize\n",
-        "from numpy import array\n",
-        "from pickle import load\n",
         "from tensorflow.keras.preprocessing.text import Tokenizer\n",
         "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
         "from tensorflow.keras.utils import to_categorical\n",
@@ -203,9 +185,9 @@
         "from tensorflow.keras.layers import RepeatVector\n",
         "from tensorflow.keras.layers import TimeDistributed\n",
         "from tensorflow.keras.callbacks import ModelCheckpoint\n",
-        "from pickle import load\n",
         "from numpy import array\n",
         "from numpy import argmax\n",
+        "from numpy.random import shuffle\n",
         "from nltk.translate.bleu_score import corpus_bleu"
       ],
       "execution_count": 0,
@@ -329,11 +311,6 @@
         "colab": {}
       },
       "source": [
-        "from pickle import load\n",
-        "from pickle import dump\n",
-        "from numpy.random import rand\n",
-        "from numpy.random import shuffle\n",
-        " \n",
         "# load a clean dataset\n",
         "def load_clean_sentences(filename):\n",
         "\treturn load(open(filename, 'rb'))\n",
@@ -592,19 +569,6 @@
       "execution_count": 0,
       "outputs": []
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab_type": "code",
-        "id": "sp3trjITtq95",
-        "colab": {}
-      },
-      "source": [
-        ""
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
     {
       "cell_type": "markdown",
       "metadata": {
diff --git a/docs/tutorials/optimizers_conditionalgradient.ipynb b/docs/tutorials/optimizers_conditionalgradient.ipynb
@@ -107,19 +107,6 @@
         "## Setup"
       ]
     },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "Pc8HQET2O5KK",
-        "colab_type": "code",
-        "colab": {}
-      },
-      "source": [
-        "from __future__ import absolute_import, division, print_function, unicode_literals"
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
     {
       "cell_type": "code",
       "metadata": {
@@ -184,8 +171,6 @@
       },
       "source": [
         "import tensorflow_addons as tfa\n",
-        "import tensorflow_datasets as tfds\n",
-        "import numpy as np\n",
         "from matplotlib import pyplot as plt"
       ],
       "execution_count": 0,
diff --git a/docs/tutorials/optimizers_lazyadam.ipynb b/docs/tutorials/optimizers_lazyadam.ipynb
@@ -103,19 +103,6 @@
     "## Setup"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "fqySbdXSZdyW"
-   },
-   "outputs": [],
-   "source": [
-    "from __future__ import absolute_import, division, print_function, unicode_literals"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -165,10 +152,7 @@
    },
    "outputs": [],
    "source": [
-    "import tensorflow_addons as tfa\n",
-    "import tensorflow_datasets as tfds\n",
-    "import numpy as np\n",
-    "from matplotlib import pyplot as plt"
+    "import tensorflow_addons as tfa",
    ]
   },
   {
@@ -306,17 +290,6 @@
     "results = model.evaluate(x_test, y_test, batch_size=128, verbose = 2)\n",
     "print('Test loss = {0}, Test acc: {1}'.format(results[0], results[1]))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "2GxntWdAbJUv"
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/tutorials/time_stopping.ipynb b/docs/tutorials/time_stopping.ipynb
@@ -96,10 +96,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import tensorflow as tf\n",
     "import tensorflow_addons as tfa\n",
     "\n",
-    "import tensorflow.keras as keras\n",
     "from tensorflow.keras.datasets import mnist\n",
     "from tensorflow.keras.models import Sequential\n",
     "from tensorflow.keras.layers import Dense, Dropout, Flatten"
@@ -203,13 +201,6 @@
     "          callbacks=[time_stopping_callback],\n",
     "          validation_data=(x_test, y_test))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/tutorials/tqdm_progress_bar.ipynb b/docs/tutorials/tqdm_progress_bar.ipynb
