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CONTRIBUTING.md
[tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no longer supported for) development. Use TF SIG Build Dockerfiles in development to avoid installing the packages directly on your system (in which case remember to change the directory from `/root` to `/tensorflow`
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RELEASE.md
* Discussion for these changes can be found on SIG Build's [TensorFlow Community Forum thread](https://discuss.tensorflow.org/t/tensorflow-linux-wheels-are-being-upgraded-to-manylinux2014/8339)
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ci/official/utilities/code_check_full.bats
add them to //tensorflow/tools/pip_package/BUILD. Otherwise, add the no_pip tag to the test, or change code_check_full.bats in the SIG Build repository. That's https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:"
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.bazelrc
# https://www.tensorflow.org/install/source#install_clang_recommended_linux_only # Another good option is to use our Docker containers to build and test TF: # https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles. build:unsupported_cpu_linux --config=avx_linux build:unsupported_cpu_linux --crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"
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