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CONTRIBUTING.md
[tf_doctest.py](https://www.tensorflow.org/code/tensorflow/tools/docs/tf_doctest.py). For example: ```bash python tf_doctest.py --file=<file_path> ``` This will run it using your installed version of TensorFlow. To be sure you're running the same code that you're testing: * Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/) `pip install -U tf-nightly`
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LICENSE
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" { for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g') if [[ ! -f $target ]] && [[ ! -d $target ]]; then echo "$i" >> errors.txt fi
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ci/official/utilities/code_check_full.bats
EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" { for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g') if [[ ! -f $target ]] && [[ ! -d $target ]]; then echo "$i" >> errors.txt fi
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ci/devinfra/docker_windows/Dockerfile
RUN dotnet tool install --global wix # Install msys2, packages and add to path. RUN [Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; \ Invoke-WebRequest "https://repo.msys2.org/distrib/x86_64/msys2-base-x86_64-20220319.sfx.exe" \ -OutFile msys2_install.exe -UseBasicParsing; \ .\msys2_install.exe -y -oC:\; \ Remove-Item msys2_install.exe; \
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README.md
## Install See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to [enable GPU support](https://www.tensorflow.org/install/gpu), use a [Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for
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