Add deprecation call-out for tf_mobile

PiperOrigin-RevId: 215971335

6 files changed, 102 insertions, 6 deletions

diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
index b0f32a8d6c..2eb776d10c 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
@@ -1,6 +1,22 @@
-
 # Building TensorFlow on Android
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 To get you started working with TensorFlow on Android, we'll walk through two
 ways to build our TensorFlow mobile demos and deploying them on an Android
 device. The first is Android Studio, which lets you build and deploy in an
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/index.md b/tensorflow/contrib/lite/g3doc/tfmobile/index.md
index 49ad35d4e6..15f0fd3961 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/index.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/index.md
@@ -1,6 +1,22 @@
-
 # Overview
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 TensorFlow was designed to be a good deep learning solution for mobile
 platforms. Currently we have two solutions for deploying machine learning
 applications on mobile and embedded devices: TensorFlow for Mobile and
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/ios_build.md b/tensorflow/contrib/lite/g3doc/tfmobile/ios_build.md
index be8b4100c8..d922907cdc 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/ios_build.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/ios_build.md
@@ -1,6 +1,22 @@
-
 # Building TensorFlow on iOS
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 ## Using CocoaPods
 
 The simplest way to get started with TensorFlow on iOS is using the CocoaPods
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/linking_libs.md b/tensorflow/contrib/lite/g3doc/tfmobile/linking_libs.md
index 4d4bb3bc08..fd0e322c93 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/linking_libs.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/linking_libs.md
@@ -1,6 +1,22 @@
-
 # Integrating TensorFlow libraries
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 Once you have made some progress on a model that addresses the problem you’re
 trying to solve, it’s important to test it out inside your application
 immediately. There are often unexpected differences between your training data
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/optimizing.md b/tensorflow/contrib/lite/g3doc/tfmobile/optimizing.md
index 7436594fd8..59ff8e774c 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/optimizing.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/optimizing.md
@@ -1,6 +1,22 @@
-
 # Optimizing for mobile
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 There are some special issues that you have to deal with when you’re trying to
 ship on mobile or embedded devices, and you’ll need to think about these as
 you’re developing your model.
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/prepare_models.md b/tensorflow/contrib/lite/g3doc/tfmobile/prepare_models.md
index d1c67d4c61..1d373251dd 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/prepare_models.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/prepare_models.md
@@ -1,6 +1,22 @@
-
 # Preparing models for mobile deployment
 
+Warning: We expect to deprecate TensorFlow Mobile in early 2019
+
+<div class="caution">
+  <p>
+    <a href="../">TensorFlow Lite</a> is our main mobile and embedded offering. We are
+    working hard to close the feature gap between TensorFlow Mobile and
+    TensorFlow Lite. We expect to deprecate TensorFlow Mobile in early 2019. We
+    will give ample notice to our users when we get to that point and will
+    provide help and support to ensure easy migrations.
+  </p>
+  <p>
+    In the meantime, please use TensorFlow Lite. If you have a feature request,
+    such as a missing op, please post to our <a
+    href="https://github.com/tensorflow/tensorflow/issues">GitHub</a>.
+  </p>
+</div>
+
 The requirements for storing model information during training are very
 different from when you want to release it as part of a mobile app. This section
 covers the tools involved in converting from a training model to something