From 2937ee958137230a3a8af7f6d648917622a7be9e Mon Sep 17 00:00:00 2001
From: Tyorden <tylerorden@gmail.com>
Date: Fri, 19 Apr 2019 01:56:22 -0500
Subject: [PATCH 1/2] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 083eb2e27ef..ac559e16dd9 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
 uphold this code.**
 
 **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for
-tracking requests and bugs, so please see
+tracking requests and bugs, please see
 [TensorFlow Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss)
 for general questions and discussion, and please direct specific questions to
 [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**
@@ -122,7 +122,7 @@ Build Type
 **Linux ppc64le GPU** Nightly                                                    | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/)                                  | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)
 **Linux ppc64le GPU** Stable Release                                             | [![Build Status](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/badge/icon)](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)                  | [Release](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/)
 **Linux CPU with Intel® MKL-DNN** Nightly                                        | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-linux-cpu/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-linux-cpu/)                                | [Nightly](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/)
-**Linux CPU with Intel® MKL-DNN** <br> **Supports Python 2.7, 3.4, 3.5 and 3.6** | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/lastStableBuild) | [1.13.1 pypi](https://pypi.org/project/intel-tensorflow/)
+**Linux CPU with Intel® MKL-DNN** <br> **Supports Python 2.7, 3.4, 3.5, and 3.6** | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/lastStableBuild) | [1.13.1 pypi](https://pypi.org/project/intel-tensorflow/)
 
 ## For more information
 

From b2375c8ff39d3d05fc8b87effccc9f3a8cdde5b7 Mon Sep 17 00:00:00 2001
From: Tyorden <tylerorden@gmail.com>
Date: Fri, 19 Apr 2019 01:57:34 -0500
Subject: [PATCH 2/2] Update RELEASE.md

---
 RELEASE.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/RELEASE.md b/RELEASE.md
index 02a1c4a05e8..a2714207db9 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -25,7 +25,7 @@
   * Update sklearn imports for deprecated packages.
   * Deprecate `Variable.count_up_to` and `tf.count_up_to` in favor of `Dataset.range`.
   * Export `confusion_matrix` op as `tf.math.confusion_matrix` instead of `tf.train.confusion_matrix`.
-  * Add `tf.dtypes.` endpoint for every constant in dtypes.py; moving endpoints in versions.py to corresponding endpoints in `tf.sysconfig.` and `tf.version.`; moving all constants under `tf.saved_model` submodules to `tf.saved_model` module. New endpoints are added in V1 and V2 but existing endpoint removals are only applied in V2.
+  * Add `tf.dtypes.` endpoint for every constant in dtypes.py. Moving endpoints in versions.py to corresponding endpoints in `tf.sysconfig.` and `tf.version.`. Moving all constants under `tf.saved_model` submodules to `tf.saved_model` module. New endpoints are added in V1 and V2 but existing endpoint removals are only applied in V2.
   * Deprecates behavior where device assignment overrides collocation constraints inside a collocation context manager.
 * Keras & Python API
   * Add to Keras functionality analogous to `tf.register_tensor_conversion_function`.