Merge pull request #11185 from av8ramit/merge1.2.1
Merging 1.2.1 back into master.
This commit is contained in:
Amit Patankar
GitHub
commit
f205922bfa
14
README.md
14
README.md
@ -34,13 +34,13 @@ and discussion.**
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People who are a little more adventurous can also try our nightly binaries:
|
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|
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* 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-1.2.0-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-1.2.0-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-1.2.0-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
|
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* 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_gpu-1.2.0-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_gpu-1.2.0-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_gpu-1.2.0-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/))
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* 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=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0-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=mac-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=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0-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=mac-slave/))
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* 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_gpu-1.2.0-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_gpu-1.2.0-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/))
|
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* Windows CPU-only: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.0-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.0-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/))
|
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* Windows GPU: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.0-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.0-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/))
|
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* Android: [demo APK](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/tensorflow_demo.apk), [native libs](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/native/)
|
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* 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-1.2.1-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-1.2.1-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-1.2.1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
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* 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_gpu-1.2.1-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_gpu-1.2.1-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_gpu-1.2.1-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/))
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* 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=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-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=mac-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=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.1-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=mac-slave/))
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* 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_gpu-1.2.1-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_gpu-1.2.1-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/))
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* Windows CPU-only: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow-1.2.1-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows,PY=36/))
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* Windows GPU: [Python 3.5 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.1-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tensorflow_gpu-1.2.1-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-win/M=windows-gpu,PY=36/))
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* Android: [demo APK](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/tensorflow_demo.apk), [native libs](http://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/native/)
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([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-android/))
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#### *Try your first TensorFlow program*
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@ -1,3 +1,9 @@
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# Release 1.2.1
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## Bug Fixes and Other Changes
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* Updating markdown version required to >= 2.6.8.
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* Support tensors as dropout rates again, by removing the min(max(..))
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# Release 1.2.0
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## Major Features and Improvements
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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 2
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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")
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@ -35,7 +35,7 @@ enable TensorFlow for C:
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OS="linux" # Change to "darwin" for Mac OS
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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_64-1.2.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.2.1.tar.gz" |
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sudo tar -C $TARGET_DIRECTORY -xz
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The `tar` command extracts the TensorFlow C library into the `lib`
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@ -35,7 +35,7 @@ steps to install this library and enable TensorFlow for Go:
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TF_TYPE="cpu" # Change to "gpu" for GPU support
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TARGET_DIRECTORY='/usr/local'
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curl -L \
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.2.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.2.1.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`
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@ -34,7 +34,7 @@ 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>1.2.0</version>
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<version>1.2.1</version>
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</dependency>
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```
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@ -63,7 +63,7 @@ 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>1.2.0</version>
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<version>1.2.1</version>
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</dependency>
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</dependencies>
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</project>
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@ -122,7 +122,7 @@ refer to the simpler instructions above instead.
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Take the following steps to install TensorFlow for Java on Linux or Mac OS:
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1. Download
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.2.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.2.1.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
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@ -141,7 +141,7 @@ Take the following steps to install TensorFlow for Java on Linux or Mac OS:
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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_64-1.2.0.tar.gz" |
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"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.2.1.tar.gz" |
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tar -xz -C ./jni
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### Install on Windows
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@ -149,10 +149,10 @@ Take the following steps to install TensorFlow for Java on Linux or Mac OS:
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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-1.2.0.jar),
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[libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.2.1.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_64-1.2.0.zip).
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[TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.2.1.zip).
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3. Extract this .zip file.
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@ -200,7 +200,7 @@ 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-1.2.0.jar HelloTF.java</b></pre>
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<pre><b>javac -cp libtensorflow-1.2.1.jar HelloTF.java</b></pre>
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### Running
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@ -214,11 +214,11 @@ two files are available to the JVM:
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For example, the following command line executes the `HelloTF` program on Linux
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and Mac OS X:
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<pre><b>java -cp libtensorflow-1.2.0.jar:. -Djava.library.path=./jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.2.1.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-1.2.0.jar;. -Djava.library.path=jni HelloTF</b></pre>
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<pre><b>java -cp libtensorflow-1.2.1.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
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@ -171,8 +171,8 @@ Take the following steps to install TensorFlow with Virtualenv:
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issue the following command to install TensorFlow in the active
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virtualenv environment:
|
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|
||||
<pre>(tensorflow)$ <b>pip install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp27-none-linux_x86_64.whl</b></pre>
|
||||
<pre>(tensorflow)$ <b>pip3 install --upgrade \
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl</b></pre>
|
||||
|
||||
If you encounter installation problems, see
|
||||
[Common Installation Problems](#common_installation_problems).
|
||||
@ -276,8 +276,8 @@ take the following steps:
|
||||
the following command:
|
||||
|
||||
<pre>
|
||||
$ <b>sudo pip install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp27-none-linux_x86_64.whl</b>
|
||||
$ <b>sudo pip3 install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl</b>
|
||||
</pre>
|
||||
|
||||
If this step fails, see
|
||||
@ -464,7 +464,7 @@ Take the following steps to install TensorFlow in an Anaconda environment:
|
||||
|
||||
<pre>
|
||||
(tensorflow)$ <b>pip install --ignore-installed --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp27-none-linux_x86_64.whl</b></pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl</b></pre>
|
||||
|
||||
|
||||
<a name="ValidateYourInstallation"></a>
|
||||
@ -632,14 +632,14 @@ This section documents the relevant values for Linux installations.
|
||||
CPU only:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp27-none-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp27-none-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
GPU support:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp27-none-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.1-cp27-none-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
Note that GPU support requires the NVIDIA hardware and software described in
|
||||
@ -651,14 +651,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
|
||||
CPU only:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp34-cp34m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
GPU support:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp34-cp34m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.1-cp34-cp34m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
Note that GPU support requires the NVIDIA hardware and software described in
|
||||
@ -670,14 +670,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
|
||||
CPU only:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp35-cp35m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
GPU support:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp35-cp35m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.1-cp35-cp35m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
@ -689,14 +689,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
|
||||
CPU only:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp36-cp36m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp36-cp36m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
GPU support:
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp36-cp36m-linux_x86_64.whl
|
||||
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.1-cp36-cp36m-linux_x86_64.whl
|
||||
</pre>
|
||||
|
||||
|
||||
|
||||
@ -108,8 +108,8 @@ Take the following steps to install TensorFlow with Virtualenv:
|
||||
Python 2.7, the command to install
|
||||
TensorFlow in the active Virtualenv is as follows:
|
||||
|
||||
<pre> $ <b>pip install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py2-none-any.whl</b></pre>
|
||||
<pre> $ <b>pip3 install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.1-py2-none-any.whl</b></pre>
|
||||
|
||||
If you encounter installation problems, see
|
||||
[Common Installation Problems](#common-installation-problems).
|
||||
@ -229,8 +229,8 @@ take the following steps:
|
||||
you are installing TensorFlow for Mac OS and Python 2.7
|
||||
issue the following command:
|
||||
|
||||
<pre> $ <b>sudo pip install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py2-none-any.whl</b> </pre>
|
||||
<pre> $ <b>sudo pip3 install --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.1-py2-none-any.whl</b> </pre>
|
||||
|
||||
If the preceding command fails, see
|
||||
[installation problems](#common-installation-problems).
|
||||
@ -339,7 +339,7 @@ Take the following steps to install TensorFlow in an Anaconda environment:
|
||||
TensorFlow for Python 2.7:
|
||||
|
||||
<pre> (tensorflow)$ <b>pip install --ignore-installed --upgrade \
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py2-none-any.whl</b></pre>
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.1-py2-none-any.whl</b></pre>
|
||||
|
||||
|
||||
<a name="ValidateYourInstallation"></a>
|
||||
@ -512,7 +512,7 @@ This section documents the relevant values for Mac OS installations.
|
||||
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py2-none-any.whl
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.1-py2-none-any.whl
|
||||
</pre>
|
||||
|
||||
|
||||
@ -520,7 +520,7 @@ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py2-none-any.
|
||||
|
||||
|
||||
<pre>
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.0-py3-none-any.whl
|
||||
https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.2.1-py3-none-any.whl
|
||||
</pre>
|
||||
|
||||
|
||||
|
||||
@ -342,10 +342,10 @@ Invoke `pip install` to install that pip package.
|
||||
The filename of the `.whl` file depends on your platform.
|
||||
For example, the following command will install the pip package
|
||||
|
||||
for TensorFlow 1.2.0 on Linux:
|
||||
for TensorFlow 1.2.1 on Linux:
|
||||
|
||||
<pre>
|
||||
$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.2.0-py2-none-any.whl</b>
|
||||
$ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.2.1-py2-none-any.whl</b>
|
||||
</pre>
|
||||
|
||||
## Validate your installation
|
||||
|
||||
@ -115,12 +115,12 @@ Take the following steps to install TensorFlow in an Anaconda environment:
|
||||
environment. To install the CPU-only version of TensorFlow, enter the
|
||||
following command:
|
||||
|
||||
<pre>(tensorflow)C:\> <b>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.0-cp35-cp35m-win_amd64.whl</b> </pre>
|
||||
<pre>(tensorflow)C:\> <b>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.2.1-cp35-cp35m-win_amd64.whl</b> </pre>
|
||||
|
||||
To install the GPU version of TensorFlow, enter the following command
|
||||
(on a single line):
|
||||
|
||||
<pre>(tensorflow)C:\> <b>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.2.0-cp35-cp35m-win_amd64.whl</b> </pre>
|
||||
<pre>(tensorflow)C:\> <b>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.2.1-cp35-cp35m-win_amd64.whl</b> </pre>
|
||||
|
||||
## Validate your installation
|
||||
|
||||
|
||||
@ -29,7 +29,7 @@ from setuptools.dist import Distribution
|
||||
# This version string is semver compatible, but incompatible with pip.
|
||||
# For pip, we will remove all '-' characters from this string, and use the
|
||||
# result for pip.
|
||||
_VERSION = '1.2.0'
|
||||
_VERSION = '1.2.1'
|
||||
|
||||
REQUIRED_PACKAGES = [
|
||||
'numpy >= 1.11.0',
|
||||
|
||||
Loading…
Reference in New Issue
Block a user