diff options
-rw-r--r-- | README.md | 8 | ||||
-rw-r--r-- | tensorflow/contrib/cmake/setup.py | 2 | ||||
-rw-r--r-- | tensorflow/core/public/version.h | 2 | ||||
-rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 82 | ||||
-rw-r--r-- | tensorflow/g3doc/how_tos/adding_an_op/index.md | 2 | ||||
-rw-r--r-- | tensorflow/g3doc/tutorials/wide/index.md | 36 | ||||
-rw-r--r-- | tensorflow/g3doc/tutorials/wide_and_deep/index.md | 4 | ||||
-rw-r--r-- | tensorflow/tools/docker/Dockerfile | 2 | ||||
-rw-r--r-- | tensorflow/tools/docker/Dockerfile.gpu | 2 | ||||
-rw-r--r-- | tensorflow/tools/gcs_test/Dockerfile | 2 | ||||
-rw-r--r-- | tensorflow/tools/pip_package/setup.py | 2 |
11 files changed, 72 insertions, 72 deletions
@@ -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', |