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Update version string to 1.6.1
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‎tensorflow/core/public/version.h

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@@ -20,7 +20,7 @@ limitations under the License.
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#define TF_MAJOR_VERSION 1
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#define TF_MINOR_VERSION 6
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#define TF_PATCH_VERSION 0
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#define TF_PATCH_VERSION 1
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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")

‎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_64-1.6.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.6.1.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_64-1.6.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.6.1.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>1.6.0</version>
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<version>1.6.1</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>1.6.0</version>
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<version>1.6.1</version>
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</dependency>
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</dependencies>
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</project>
@@ -123,12 +123,12 @@ instead:
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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>1.6.0</version>
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<version>1.6.1</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>1.6.0</version>
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<version>1.6.1</version>
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</dependency>
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```
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@@ -147,7 +147,7 @@ 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-1.6.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.6.1.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
@@ -166,18 +166,18 @@ Take the following steps to install TensorFlow for Java on Linux or macOS:
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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}-${OS}-x86_64-1.6.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.6.1.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-1.6.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.6.1.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_64-1.6.0.zip).
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[TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.6.1.zip).
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3. Extract this .zip file.
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@@ -225,7 +225,7 @@ must be part of your `classpath`. For example, you can include the
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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-1.6.0.jar HelloTF.java</b></pre>
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<pre><b>javac -cp libtensorflow-1.6.1.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-1.6.0.jar:. -Djava.library.path=./jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.6.1.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-1.6.0.jar;. -Djava.library.path=jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.6.1.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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@@ -189,7 +189,7 @@ Take the following steps to install TensorFlow with Virtualenv:
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Virtualenv environment:
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<pre>(tensorflow)$ <b>pip3 install --upgrade \
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.0-cp34-cp34m-linux_x86_64.whl</b></pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-cp34-cp34m-linux_x86_64.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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<pre>
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$ <b>sudo pip3 install --upgrade \
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.0-cp34-cp34m-linux_x86_64.whl</b>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-cp34-cp34m-linux_x86_64.whl</b>
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</pre>
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If this step fails, see
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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-1.6.0-cp34-cp34m-linux_x86_64.whl</b></pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-cp34-cp34m-linux_x86_64.whl</b></pre>
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<a name="ValidateYourInstallation"></a>
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CPU only:
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<pre>
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.0-cp27-none-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-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-1.6.0-cp27-none-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.6.1-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-1.6.0-cp34-cp34m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-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-1.6.0-cp34-cp34m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.6.1-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-1.6.0-cp35-cp35m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-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-1.6.0-cp35-cp35m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.6.1-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-1.6.0-cp36-cp36m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.1-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-1.6.0-cp36-cp36m-linux_x86_64.whl
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https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.6.1-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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@@ -115,7 +115,7 @@ Take the following steps to install TensorFlow with Virtualenv:
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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-1.6.0-py3-none-any.whl</b></pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.1-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-1.6.0-py3-none-any.whl</b> </pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.1-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-1.6.0-py2-none-any.whl</b></pre>
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.1-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-1.6.0-py2-none-any.whl
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.1-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-1.6.0-py3-none-any.whl
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https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.1-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 1.6.0 on Linux:
362+
for TensorFlow 1.6.1 on Linux:
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364364
<pre>
365-
$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.6.0-py2-none-any.whl</b>
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$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.6.1-py2-none-any.whl</b>
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</pre>
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## Validate your installation

‎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.
32-
_VERSION = '1.6.0'
32+
_VERSION = '1.6.1'
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REQUIRED_PACKAGES = [
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'absl-py >= 0.1.6',

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