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Amit Patankar
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Merge branch 'relnotes_19b' of github.com:av8ramit/tensorflow into relnotes_19b
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‎tensorflow/core/public/version.h

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@@ -19,12 +19,12 @@ limitations under the License.
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// TensorFlow uses semantic versioning, see http://semver.org/.
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#define TF_MAJOR_VERSION 1
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#define TF_MINOR_VERSION 8
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#define TF_MINOR_VERSION 9
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#define TF_PATCH_VERSION 0
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// TF_VERSION_SUFFIX is non-empty for pre-releases (e.g. "-alpha", "-alpha.1",
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// "-beta", "-rc", "-rc.1")
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#define TF_VERSION_SUFFIX ""
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#define TF_VERSION_SUFFIX "-rc0"
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#define TF_STR_HELPER(x) #x
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#define TF_STR(x) TF_STR_HELPER(x)

‎tensorflow/docs_src/get_started/eager.md

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# Get Started with Eager Execution
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[Colab notebook](https://colab.research.google.com/github/tensorflow/models/blob/r1.8.0/samples/core/get_started/eager.ipynb)
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[Colab notebook](https://colab.research.google.com/github/tensorflow/models/blob/r1.9.0/samples/core/get_started/eager.ipynb)

‎tensorflow/docs_src/install/install_c.md

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@@ -38,7 +38,7 @@ enable TensorFlow for C:
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OS="linux" # Change to "darwin" for macOS
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TARGET_DIRECTORY="/usr/local"
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curl -L \
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.8.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.9.0-rc0.tar.gz" |
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sudo tar -C $TARGET_DIRECTORY -xz
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The `tar` command extracts the TensorFlow C library into the `lib`

‎tensorflow/docs_src/install/install_go.md

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@@ -38,7 +38,7 @@ steps to install this library and enable TensorFlow for Go:
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TF_TYPE="cpu" # Change to "gpu" for GPU support
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TARGET_DIRECTORY='/usr/local'
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curl -L \
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.8.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.9.0-rc0.tar.gz" |
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sudo tar -C $TARGET_DIRECTORY -xz
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The `tar` command extracts the TensorFlow C library into the `lib`

‎tensorflow/docs_src/install/install_java.md

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@@ -36,7 +36,7 @@ following to the project's `pom.xml` to use the TensorFlow Java APIs:
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow</artifactId>
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<version>1.8.0</version>
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<version>1.9.0-rc0</version>
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</dependency>
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```
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@@ -65,7 +65,7 @@ As an example, these steps will create a Maven project that uses TensorFlow:
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow</artifactId>
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<version>1.8.0</version>
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<version>1.9.0-rc0</version>
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</dependency>
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</dependencies>
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</project>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>libtensorflow</artifactId>
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<version>1.8.0</version>
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<version>1.9.0-rc0</version>
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</dependency>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>libtensorflow_jni_gpu</artifactId>
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<version>1.8.0</version>
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<version>1.9.0-rc0</version>
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</dependency>
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```
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@@ -148,7 +148,7 @@ refer to the simpler instructions above instead.
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Take the following steps to install TensorFlow for Java on Linux or macOS:
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1. Download
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.8.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.9.0-rc0.jar),
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which is the TensorFlow Java Archive (JAR).
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2. Decide whether you will run TensorFlow for Java on CPU(s) only or with
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OS=$(uname -s | tr '[:upper:]' '[:lower:]')
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mkdir -p ./jni
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curl -L \
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.8.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.9.0-rc0.tar.gz" |
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tar -xz -C ./jni
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### Install on Windows
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Take the following steps to install TensorFlow for Java on Windows:
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1. Download
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.8.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.9.0-rc0.jar),
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which is the TensorFlow Java Archive (JAR).
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2. Download the following Java Native Interface (JNI) file appropriate for
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[TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.8.0.zip).
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[TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.9.0-rc0.zip).
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3. Extract this .zip file.
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downloaded `.jar` in your `classpath` by using the `-cp` compilation flag
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as follows:
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<pre><b>javac -cp libtensorflow-1.8.0.jar HelloTF.java</b></pre>
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<pre><b>javac -cp libtensorflow-1.9.0-rc0.jar HelloTF.java</b></pre>
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### Running
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For example, the following command line executes the `HelloTF` program on Linux
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and macOS X:
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<pre><b>java -cp libtensorflow-1.8.0.jar:. -Djava.library.path=./jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.9.0-rc0.jar:. -Djava.library.path=./jni HelloTF</b></pre>
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And the following command line executes the `HelloTF` program on Windows:
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<pre><b>java -cp libtensorflow-1.8.0.jar;. -Djava.library.path=jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.9.0-rc0.jar;. -Djava.library.path=jni HelloTF</b></pre>
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If the program prints <tt>Hello from <i>version</i></tt>, you've successfully
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installed TensorFlow for Java and are ready to use the API. If the program

‎tensorflow/docs_src/install/install_linux.md

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<pre>
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(tensorflow)$ <b>pip install --ignore-installed --upgrade \
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp34-cp34m-linux_x86_64.whl</b></pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp34-cp34m-linux_x86_64.whl</b></pre>
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<a name="ValidateYourInstallation"></a>
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## Validate your installation
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CPU only:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp27-none-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp27-none-linux_x86_64.whl
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</pre>
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GPU support:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.8.0-cp27-none-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.9.0rc0-cp27-none-linux_x86_64.whl
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</pre>
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Note that GPU support requires the NVIDIA hardware and software described in
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CPU only:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp34-cp34m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp34-cp34m-linux_x86_64.whl
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</pre>
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GPU support:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.8.0-cp34-cp34m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.9.0rc0-cp34-cp34m-linux_x86_64.whl
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</pre>
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Note that GPU support requires the NVIDIA hardware and software described in
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CPU only:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp35-cp35m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp35-cp35m-linux_x86_64.whl
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</pre>
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GPU support:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.8.0-cp35-cp35m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.9.0rc0-cp35-cp35m-linux_x86_64.whl
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</pre>
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CPU only:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
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</pre>
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GPU support:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.8.0-cp36-cp36m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
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</pre>
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‎tensorflow/docs_src/install/install_mac.md

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TensorFlow in the active Virtualenv is as follows:
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<pre> $ <b>pip3 install --upgrade \
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl</b></pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0rc0-py3-none-any.whl</b></pre>
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If you encounter installation problems, see
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[Common Installation Problems](#common-installation-problems).
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issue the following command:
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<pre> $ <b>sudo pip3 install --upgrade \
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl</b> </pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0rc0-py3-none-any.whl</b> </pre>
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If the preceding command fails, see
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[installation problems](#common-installation-problems).
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TensorFlow for Python 2.7:
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<pre> (<i>targetDirectory</i>)$ <b>pip install --ignore-installed --upgrade \
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py2-none-any.whl</b></pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0rc0-py2-none-any.whl</b></pre>
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<a name="ValidateYourInstallation"></a>
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<pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py2-none-any.whl
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0rc0-py2-none-any.whl
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</pre>
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### Python 3.4, 3.5, or 3.6
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<pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.9.0rc0-py3-none-any.whl
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</pre>

‎tensorflow/docs_src/install/install_sources.md

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The filename of the `.whl` file depends on your platform.
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For example, the following command will install the pip package
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for TensorFlow 1.8.0 on Linux:
331+
for TensorFlow 1.9.0rc0 on Linux:
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333333
<pre>
334-
$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.8.0-py2-none-any.whl</b>
334+
$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-py2-none-any.whl</b>
335335
</pre>
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## Validate your installation
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**Linux**
434434
<table>
435435
<tr><th>Version:</th><th>CPU/GPU:</th><th>Python Version:</th><th>Compiler:</th><th>Build Tools:</th><th>cuDNN:</th><th>CUDA:</th></tr>
436+
<tr><td>tensorflow-1.9.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>GCC 4.8</td><td>Bazel 0.11.0</td><td>N/A</td><td>N/A</td></tr>
437+
<tr><td>tensorflow_gpu-1.9.0</td><td>GPU</td><td>2.7, 3.3-3.6</td><td>GCC 4.8</td><td>Bazel 0.11.0</td><td>7</td><td>9</td></tr>
436438
<tr><td>tensorflow-1.8.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>GCC 4.8</td><td>Bazel 0.10.0</td><td>N/A</td><td>N/A</td></tr>
437439
<tr><td>tensorflow_gpu-1.8.0</td><td>GPU</td><td>2.7, 3.3-3.6</td><td>GCC 4.8</td><td>Bazel 0.9.0</td><td>7</td><td>9</td></tr>
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<tr><td>tensorflow-1.7.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>GCC 4.8</td><td>Bazel 0.10.0</td><td>N/A</td><td>N/A</td></tr>
@@ -456,6 +458,7 @@ Stack Overflow and specify the `tensorflow` tag.
456458
**Mac**
457459
<table>
458460
<tr><th>Version:</th><th>CPU/GPU:</th><th>Python Version:</th><th>Compiler:</th><th>Build Tools:</th><th>cuDNN:</th><th>CUDA:</th></tr>
461+
<tr><td>tensorflow-1.9.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>Clang from xcode</td><td>Bazel 0.11.0</td><td>N/A</td><td>N/A</td></tr>
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<tr><td>tensorflow-1.8.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>Clang from xcode</td><td>Bazel 0.10.1</td><td>N/A</td><td>N/A</td></tr>
460463
<tr><td>tensorflow-1.7.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>Clang from xcode</td><td>Bazel 0.10.1</td><td>N/A</td><td>N/A</td></tr>
461464
<tr><td>tensorflow-1.6.0</td><td>CPU</td><td>2.7, 3.3-3.6</td><td>Clang from xcode</td><td>Bazel 0.8.1</td><td>N/A</td><td>N/A</td></tr>
@@ -472,6 +475,8 @@ Stack Overflow and specify the `tensorflow` tag.
472475
**Windows**
473476
<table>
474477
<tr><th>Version:</th><th>CPU/GPU:</th><th>Python Version:</th><th>Compiler:</th><th>Build Tools:</th><th>cuDNN:</th><th>CUDA:</th></tr>
478+
<tr><td>tensorflow-1.9.0</td><td>CPU</td><td>3.5-3.6</td><td>MSVC 2015 update 3</td><td>Cmake v3.6.3</td><td>N/A</td><td>N/A</td></tr>
479+
<tr><td>tensorflow_gpu-1.9.0</td><td>GPU</td><td>3.5-3.6</td><td>MSVC 2015 update 3</td><td>Cmake v3.6.3</td><td>7</td><td>9</td></tr>
475480
<tr><td>tensorflow-1.8.0</td><td>CPU</td><td>3.5-3.6</td><td>MSVC 2015 update 3</td><td>Cmake v3.6.3</td><td>N/A</td><td>N/A</td></tr>
476481
<tr><td>tensorflow_gpu-1.8.0</td><td>GPU</td><td>3.5-3.6</td><td>MSVC 2015 update 3</td><td>Cmake v3.6.3</td><td>7</td><td>9</td></tr>
477482
<tr><td>tensorflow-1.7.0</td><td>CPU</td><td>3.5-3.6</td><td>MSVC 2015 update 3</td><td>Cmake v3.6.3</td><td>N/A</td><td>N/A</td></tr>

‎tensorflow/tools/docker/Dockerfile.devel

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# Download and build TensorFlow.
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WORKDIR /tensorflow
79-
RUN git clone --branch=r1.8 --depth=1 https://github.com/tensorflow/tensorflow.git .
79+
RUN git clone --branch=r1.9 --depth=1 https://github.com/tensorflow/tensorflow.git .
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# TODO(craigcitro): Don't install the pip package, since it makes it
8282
# more difficult to experiment with local changes. Instead, just add

‎tensorflow/tools/docker/Dockerfile.devel-cpu-mkl

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LABEL maintainer="Clayne Robison<clayne.b.robison@intel.com>"
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55
# These arguments are parameterized. Use --build-args to override.
6-
ARG TF_BRANCH=r1.8
6+
ARG TF_BRANCH=r1.9
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ARG WHL_DIR=/whl
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RUN apt-get update && apt-get install -y --no-install-recommends \

‎tensorflow/tools/docker/Dockerfile.devel-gpu

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# Download and build TensorFlow.
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WORKDIR /tensorflow
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RUN git clone --branch=r1.8 --depth=1 https://github.com/tensorflow/tensorflow.git .
88+
RUN git clone --branch=r1.9 --depth=1 https://github.com/tensorflow/tensorflow.git .
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# Configure the build for our CUDA configuration.
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ENV CI_BUILD_PYTHON python

‎tensorflow/tools/pip_package/setup.py

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# This version string is semver compatible, but incompatible with pip.
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# For pip, we will remove all '-' characters from this string, and use the
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# result for pip.
48-
_VERSION = '1.8.0'
48+
_VERSION = '1.9.0-rc0'
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REQUIRED_PACKAGES = [
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'absl-py >= 0.1.6',

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