From d4f43ab7925c0f70ea590abc0fd934819bed32b6 Mon Sep 17 00:00:00 2001 From: Mark Daoust Date: Mon, 5 Aug 2019 10:05:03 -0700 Subject: [PATCH] Delete nightly installs PiperOrigin-RevId: 261709583 --- site/en/guide/distribute_strategy.ipynb | 3 +-- site/en/r2/guide/autograph.ipynb | 2 +- site/en/tutorials/distribute/keras.ipynb | 1 - site/en/tutorials/distribute/training_loops.ipynb | 1 - site/en/tutorials/images/hub_with_keras.ipynb | 3 +-- site/en/tutorials/keras/save_and_restore_models.ipynb | 3 +-- site/ja/beta/guide/autograph.ipynb | 2 +- site/ja/tutorials/images/hub_with_keras.ipynb | 5 ++--- site/ko/beta/guide/using_gpu.ipynb | 2 +- 9 files changed, 8 insertions(+), 14 deletions(-) diff --git a/site/en/guide/distribute_strategy.ipynb b/site/en/guide/distribute_strategy.ipynb index a8c12a770e3..49e929b95de 100644 --- a/site/en/guide/distribute_strategy.ipynb +++ b/site/en/guide/distribute_strategy.ipynb @@ -103,7 +103,6 @@ "# Import TensorFlow\n", "from __future__ import absolute_import, division, print_function, unicode_literals\n", "\n", - "!pip install tf-nightly-gpu\n", "import tensorflow as tf" ] }, @@ -120,7 +119,7 @@ "* Syncronous vs asynchronous training: These are two common ways of distributing training with data parallelism. In sync training, all workers train over different slices of input data in sync, and aggregating gradients at each step. In async training, all workers are independently training over the input data and updating variables asynchronously. Typically sync training is supported via all-reduce and async through parameter server architecture.\n", "* Hardware platform: Users may want to scale their training onto multiple GPUs on one machine, or multiple machines in a network (with 0 or more GPUs each), or on Cloud TPUs.\n", "\n", - "In order to support these use cases, we have 4 strategies available. In the next section we will talk about which of these are supported in which scenarios in TF nightly at this time." + "In order to support these use cases, we have 4 strategies available. In the next section we will talk about which of these are supported in which scenarios in TF." ] }, { diff --git a/site/en/r2/guide/autograph.ipynb b/site/en/r2/guide/autograph.ipynb index eff99331ddd..2694ccfda14 100644 --- a/site/en/r2/guide/autograph.ipynb +++ b/site/en/r2/guide/autograph.ipynb @@ -91,7 +91,7 @@ "source": [ "## Setup\n", "\n", - "Import TensorFlow 2.0 Preview Nightly and enable TF 2.0 mode:" + "Import TensorFlow 2.0:" ] }, { diff --git a/site/en/tutorials/distribute/keras.ipynb b/site/en/tutorials/distribute/keras.ipynb index 9dc9708d749..d330558b24a 100644 --- a/site/en/tutorials/distribute/keras.ipynb +++ b/site/en/tutorials/distribute/keras.ipynb @@ -132,7 +132,6 @@ "outputs": [], "source": [ "# Import TensorFlow\n", - "!pip install tf-nightly-gpu\n", "import tensorflow as tf\n", "import tensorflow_datasets as tfds\n", "\n", diff --git a/site/en/tutorials/distribute/training_loops.ipynb b/site/en/tutorials/distribute/training_loops.ipynb index 5ee54ecb11f..5cec6c19a3f 100644 --- a/site/en/tutorials/distribute/training_loops.ipynb +++ b/site/en/tutorials/distribute/training_loops.ipynb @@ -89,7 +89,6 @@ "from __future__ import absolute_import, division, print_function, unicode_literals\n", "\n", "# Import TensorFlow\n", - "!pip install tf-nightly-gpu\n", "import tensorflow as tf\n", "\n", "# Helper libraries\n", diff --git a/site/en/tutorials/images/hub_with_keras.ipynb b/site/en/tutorials/images/hub_with_keras.ipynb index b0f160f59c6..8a3bc45f376 100644 --- a/site/en/tutorials/images/hub_with_keras.ipynb +++ b/site/en/tutorials/images/hub_with_keras.ipynb @@ -102,8 +102,7 @@ }, "outputs": [], "source": [ - "!pip install -U tensorflow_hub\n", - "!pip install tf-nightly-gpu" + "!pip install -U tensorflow_hub\n" ] }, { diff --git a/site/en/tutorials/keras/save_and_restore_models.ipynb b/site/en/tutorials/keras/save_and_restore_models.ipynb index 85faa589c24..55ea227f6d1 100644 --- a/site/en/tutorials/keras/save_and_restore_models.ipynb +++ b/site/en/tutorials/keras/save_and_restore_models.ipynb @@ -151,8 +151,7 @@ }, "outputs": [], "source": [ - "!pip install h5py pyyaml\n", - "!pip install tf_nightly" + "!pip install h5py pyyaml\n" ] }, { diff --git a/site/ja/beta/guide/autograph.ipynb b/site/ja/beta/guide/autograph.ipynb index d07c5c19cc4..80e2b44376b 100644 --- a/site/ja/beta/guide/autograph.ipynb +++ b/site/ja/beta/guide/autograph.ipynb @@ -117,7 +117,7 @@ "source": [ "## セットアップ\n", "\n", - "TensorFlow 2.0 Preview Nightly をインポートして、TF 2.0 モードを有効にしてください。" + "TensorFlow 2.0 をインポートして、TF 2.0 モードを有効にしてください。" ] }, { diff --git a/site/ja/tutorials/images/hub_with_keras.ipynb b/site/ja/tutorials/images/hub_with_keras.ipynb index d74f68b70c7..993efcdc946 100644 --- a/site/ja/tutorials/images/hub_with_keras.ipynb +++ b/site/ja/tutorials/images/hub_with_keras.ipynb @@ -129,9 +129,8 @@ "colab": {} }, "source": [ - "!pip install -U tensorflow_hub\n", - "!pip install tf-nightly-gpu" - ], + "!pip install -U tensorflow_hub\n" + ], "execution_count": 0, "outputs": [] }, diff --git a/site/ko/beta/guide/using_gpu.ipynb b/site/ko/beta/guide/using_gpu.ipynb index 764b32505a9..042179dfe4b 100644 --- a/site/ko/beta/guide/using_gpu.ipynb +++ b/site/ko/beta/guide/using_gpu.ipynb @@ -91,7 +91,7 @@ "source": [ "from __future__ import absolute_import, division, print_function, unicode_literals\n", "\n", - "!pip install tf-nightly-gpu-2.0-preview\n", + "!pip install tensorflow==2.0.0-beta1\n", "import tensorflow as tf" ] },