Merge branch 'r0.11'

11 files changed, 72 insertions, 72 deletions

diff --git a/README.md b/README.md
index 0ed9e78fc9..d46c8ccacb 100644
--- a/README.md
+++ b/README.md
@@ -33,10 +33,10 @@ and discussion.**
 
 People who are a little more adventurous can also try our nightly binaries:
 
-* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
-* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
-* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac1-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac1-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac1-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac1-slave/))
-* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
+* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
+* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
+* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac1-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac1-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac1-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac1-slave/))
+* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
 * [Android](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-android/TF_BUILD_CONTAINER_TYPE=ANDROID,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=NO_PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=android-slave/lastSuccessfulBuild/artifact/bazel-out/local_linux/bin/tensorflow/examples/android/tensorflow_demo.apk) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-android/TF_BUILD_CONTAINER_TYPE=ANDROID,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=NO_PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=android-slave/))
 
 #### *Try your first TensorFlow program*
diff --git a/tensorflow/contrib/cmake/setup.py b/tensorflow/contrib/cmake/setup.py
index 78cb546f85..b036016f5e 100644
--- a/tensorflow/contrib/cmake/setup.py
+++ b/tensorflow/contrib/cmake/setup.py
@@ -26,7 +26,7 @@ from setuptools import find_packages, setup, Command
 from setuptools.command.install import install as InstallCommandBase
 from setuptools.dist import Distribution
 
-_VERSION = '0.11.0rc2-cmake-experimental'
+_VERSION = '0.11.0-cmake-experimental'
 
 REQUIRED_PACKAGES = [
     'numpy >= 1.11.0',
diff --git a/tensorflow/core/public/version.h b/tensorflow/core/public/version.h
index 060682700c..902b5d7793 100644
--- a/tensorflow/core/public/version.h
+++ b/tensorflow/core/public/version.h
@@ -20,7 +20,7 @@ limitations under the License.
 
 #define TF_MAJOR_VERSION 0
 #define TF_MINOR_VERSION 11
-#define TF_PATCH_VERSION 0rc2
+#define TF_PATCH_VERSION 0
 
 // TF_VERSION_SUFFIX is non-empty for pre-releases (e.g. "-alpha", "-alpha.1",
 // "-beta", "-rc", "-rc.1")
diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md
index 1535f094c5..2ca8892fdc 100644
--- a/tensorflow/g3doc/get_started/os_setup.md
+++ b/tensorflow/g3doc/get_started/os_setup.md
@@ -63,37 +63,37 @@ Then, select the correct binary to install:
 
 ```bash
 # Ubuntu/Linux 64-bit, CPU only, Python 2.7
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 2.7:
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py2-none-any.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Mac OS X, GPU enabled, Python 2.7:
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py2-none-any.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.4
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.5
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 3.4 or 3.5:
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py3-none-any.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py3-none-any.whl
 
 # Mac OS X, GPU enabled, Python 3.4 or 3.5:
-$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py3-none-any.whl
+$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py3-none-any.whl
 ```
 
 Install TensorFlow:
@@ -159,37 +159,37 @@ Now, install TensorFlow just as you would for a regular Pip installation. First
 
 ```bash
 # Ubuntu/Linux 64-bit, CPU only, Python 2.7
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 2.7:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py2-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Mac OS X, GPU enabled, Python 2.7:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py2-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.4
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.5
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 3.4 or 3.5:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py3-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py3-none-any.whl
 
 # Mac OS X, GPU enabled, Python 3.4 or 3.5:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py3-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py3-none-any.whl
 ```
 
 Finally install TensorFlow:
@@ -298,37 +298,37 @@ select the correct binary to install:
 
 ```bash
 # Ubuntu/Linux 64-bit, CPU only, Python 2.7
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 2.7:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py2-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Mac OS X, GPU enabled, Python 2.7:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py2-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py2-none-any.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.4
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp34-cp34m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, CPU only, Python 3.5
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
-# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0rc2-cp35-cp35m-linux_x86_64.whl
+# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Install from sources" below.
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
 
 # Mac OS X, CPU only, Python 3.4 or 3.5:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc2-py3-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py3-none-any.whl
 
 # Mac OS X, GPU enabled, Python 3.4 or 3.5:
-(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0rc2-py3-none-any.whl
+(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py3-none-any.whl
 ```
 
 Finally install TensorFlow:
@@ -396,7 +396,7 @@ code.
 code.
 
 We also have tags with `latest` replaced by a released version (e.g.,
-`0.11.0rc2-gpu`).
+`0.11.0-gpu`).
 
 With Docker the installation is as follows:
 
@@ -781,7 +781,7 @@ $ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_pack
 $ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
 
 # The name of the .whl file will depend on your platform.
-$ sudo pip install /tmp/tensorflow_pkg/tensorflow-0.11.0rc2-py2-none-any.whl
+$ sudo pip install /tmp/tensorflow_pkg/tensorflow-0.11.0-py2-none-any.whl
 ```
 
 ## Setting up TensorFlow for Development
diff --git a/tensorflow/g3doc/how_tos/adding_an_op/index.md b/tensorflow/g3doc/how_tos/adding_an_op/index.md
index e15924ad0c..05ef0a5779 100644
--- a/tensorflow/g3doc/how_tos/adding_an_op/index.md
+++ b/tensorflow/g3doc/how_tos/adding_an_op/index.md
@@ -1117,7 +1117,7 @@ found in [common_shape_fns.h](https://www.tensorflow.org/code/tensorflow/core/fr
 REGISTER_OP("ZeroOut")
     .Input("to_zero: int32")
     .Output("zeroed: int32")
-    .SetShapeFn([](::tensorflow::shape_inference::UnchangedShape);
+    .SetShapeFn(::tensorflow::shape_inference::UnchangedShape);
 ```
 
 A shape function can also constrain the shape of an input. For the version of
diff --git a/tensorflow/g3doc/tutorials/wide/index.md b/tensorflow/g3doc/tutorials/wide/index.md
index 643599fafe..a4a6626c28 100644
--- a/tensorflow/g3doc/tutorials/wide/index.md
+++ b/tensorflow/g3doc/tutorials/wide/index.md
@@ -430,35 +430,35 @@ you a desirable model size.
 
 Finally, let's take a minute to talk about what the Logistic Regression model
 actually looks like in case you're not already familiar with it. We'll denote
-the label as $$Y$$, and the set of observed features as a feature vector
-$$\mathbf{x}=[x_1, x_2, ..., x_d]$$. We define $$Y=1$$ if an individual earned >
-50,000 dollars and $$Y=0$$ otherwise. In Logistic Regression, the probability of
-the label being positive ($$Y=1$$) given the features $$\mathbf{x}$$ is given
+the label as \\(Y\\), and the set of observed features as a feature vector
+\\(\mathbf{x}=[x_1, x_2, ..., x_d]\\). We define \\(Y=1\\) if an individual earned >
+50,000 dollars and \\(Y=0\\) otherwise. In Logistic Regression, the probability of
+the label being positive (\\(Y=1\\)) given the features \\(\mathbf{x}\\) is given
 as:
 
 $$ P(Y=1|\mathbf{x}) = \frac{1}{1+\exp(-(\mathbf{w}^T\mathbf{x}+b))}$$
 
-where $$\mathbf{w}=[w_1, w_2, ..., w_d]$$ are the model weights for the features
-$$\mathbf{x}=[x_1, x_2, ..., x_d]$$. $$b$$ is a constant that is often called
+where \\(\mathbf{w}=[w_1, w_2, ..., w_d]\\) are the model weights for the features
+\\(\mathbf{x}=[x_1, x_2, ..., x_d]\\). \\(b\\) is a constant that is often called
 the **bias** of the model. The equation consists of two parts—A linear model and
 a logistic function:
 
-*   **Linear Model**: First, we can see that $$\mathbf{w}^T\mathbf{x}+b = b +
-    w_1x_1 + ... +w_dx_d$$ is a linear model where the output is a linear
-    function of the input features $$\mathbf{x}$$. The bias $$b$$ is the
+*   **Linear Model**: First, we can see that \\(\mathbf{w}^T\mathbf{x}+b = b +
+    w_1x_1 + ... +w_dx_d\\) is a linear model where the output is a linear
+    function of the input features \\(\mathbf{x}\\). The bias \\(b\\) is the
     prediction one would make without observing any features. The model weight
-    $$w_i$$ reflects how the feature $$x_i$$ is correlated with the positive
-    label. If $$x_i$$ is positively correlated with the positive label, the
-    weight $$w_i$$ increases, and the probability $$P(Y=1|\mathbf{x})$$ will be
-    closer to 1. On the other hand, if $$x_i$$ is negatively correlated with the
-    positive label, then the weight $$w_i$$ decreases and the probability
-    $$P(Y=1|\mathbf{x})$$ will be closer to 0.
+    \\(w_i\\) reflects how the feature \\(x_i\\) is correlated with the positive
+    label. If \\(x_i\\) is positively correlated with the positive label, the
+    weight \\(w_i\\) increases, and the probability \\(P(Y=1|\mathbf{x})\\) will be
+    closer to 1. On the other hand, if \\(x_i\\) is negatively correlated with the
+    positive label, then the weight \\(w_i\\) decreases and the probability
+    \\(P(Y=1|\mathbf{x})\\) will be closer to 0.
 
 *   **Logistic Function**: Second, we can see that there's a logistic function
-    (also known as the sigmoid function) $$S(t) = 1/(1+\exp(-t))$$ being applied
+    (also known as the sigmoid function) \\(S(t) = 1/(1+\exp(-t))\\) being applied
     to the linear model. The logistic function is used to convert the output of
-    the linear model $$\mathbf{w}^T\mathbf{x}+b$$ from any real number into the
-    range of $$[0, 1]$$, which can be interpreted as a probability.
+    the linear model \\(\mathbf{w}^T\mathbf{x}+b\\) from any real number into the
+    range of \\([0, 1]\\), which can be interpreted as a probability.
 
 Model training is an optimization problem: The goal is to find a set of model
 weights (i.e. model parameters) to minimize a **loss function** defined over the
diff --git a/tensorflow/g3doc/tutorials/wide_and_deep/index.md b/tensorflow/g3doc/tutorials/wide_and_deep/index.md
index c92cdc18ed..f1928bdca4 100644
--- a/tensorflow/g3doc/tutorials/wide_and_deep/index.md
+++ b/tensorflow/g3doc/tutorials/wide_and_deep/index.md
@@ -155,8 +155,8 @@ The higher the `dimension` of the embedding is, the more degrees of freedom the
 model will have to learn the representations of the features. For simplicity, we
 set the dimension to 8 for all feature columns here. Empirically, a more
 informed decision for the number of dimensions is to start with a value on the
-order of $$k\log_2(n)$$ or $$k\sqrt[4]n$$, where $$n$$ is the number of unique
-features in a feature column and $$k$$ is a small constant (usually smaller than
+order of \\(\log_2(n)\\) or \\(k\sqrt[4]n\\), where \\(n\\) is the number of unique
+features in a feature column and \\(k\\) is a small constant (usually smaller than
 10).
 
 Through dense embeddings, deep models can generalize better and make predictions
diff --git a/tensorflow/tools/docker/Dockerfile b/tensorflow/tools/docker/Dockerfile
index 39da8b2e65..82973226fc 100644
--- a/tensorflow/tools/docker/Dockerfile
+++ b/tensorflow/tools/docker/Dockerfile
@@ -33,7 +33,7 @@ RUN pip --no-cache-dir install \
         && \
     python -m ipykernel.kernelspec
 
-ENV TENSORFLOW_VERSION 0.11.0rc2
+ENV TENSORFLOW_VERSION 0.11.0
 
 # --- DO NOT EDIT OR DELETE BETWEEN THE LINES --- #
 # These lines will be edited automatically by parameterized_docker_build.sh. #
diff --git a/tensorflow/tools/docker/Dockerfile.gpu b/tensorflow/tools/docker/Dockerfile.gpu
index b369bc10e7..30de920130 100644
--- a/tensorflow/tools/docker/Dockerfile.gpu
+++ b/tensorflow/tools/docker/Dockerfile.gpu
@@ -33,7 +33,7 @@ RUN pip --no-cache-dir install \
         && \
     python -m ipykernel.kernelspec
 
-ENV TENSORFLOW_VERSION 0.11.0rc2
+ENV TENSORFLOW_VERSION 0.11.0
 
 # --- DO NOT EDIT OR DELETE BETWEEN THE LINES --- #
 # These lines will be edited automatically by parameterized_docker_build.sh. #
diff --git a/tensorflow/tools/gcs_test/Dockerfile b/tensorflow/tools/gcs_test/Dockerfile
index 3b95e32665..a9db7ce9b0 100644
--- a/tensorflow/tools/gcs_test/Dockerfile
+++ b/tensorflow/tools/gcs_test/Dockerfile
@@ -17,7 +17,7 @@ RUN ./install_google_cloud_sdk.bash --disable-prompts --install-dir=/var/gcloud
 
 # Install nightly TensorFlow pip
 RUN pip install \
-   https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0rc2-cp27-none-linux_x86_64.whl
+   https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
 
 # Copy test files
 RUN mkdir -p /gcs-smoke/python
diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py
index 84c6a06a9a..8a15e0a296 100644
--- a/tensorflow/tools/pip_package/setup.py
+++ b/tensorflow/tools/pip_package/setup.py
@@ -26,7 +26,7 @@ from setuptools import find_packages, setup, Command
 from setuptools.command.install import install as InstallCommandBase
 from setuptools.dist import Distribution
 
-_VERSION = '0.11.0rc2'
+_VERSION = '0.11.0'
 
 REQUIRED_PACKAGES = [
     'numpy >= 1.11.0',