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ci/official/containers/linux_arm64/Dockerfile
# manylinux2014-compatible packages. COPY builder.devtoolset/fixlinks_aarch64.sh /fixlinks.sh COPY builder.devtoolset/rpm-patch.sh /rpm-patch.sh COPY builder.devtoolset/build_devtoolset.sh /build_devtoolset.sh COPY builder.devtoolset/gcc9-fixups.patch /gcc9-fixups.patch COPY builder.devtoolset/stringop_trunc.patch /stringop_trunc.patch RUN /build_devtoolset.sh devtoolset-10 /dt10 # Build later version of patchelf that is not so buggy
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ci/official/containers/linux_arm64/builder.packages.txt
libreadline-dev libsqlite3-dev libssl-dev libxml2-dev libxmlsec1-dev llvm make openssl tk-dev wget xz-utils zlib1g-dev git # Packages needed to build devtoolset file flex g++ make patch rpm2cpio unar wget xz-utils cpio gawk texinfo
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ci/devinfra/docker_windows/Dockerfile
msys 'pacman --noconfirm -Syy coreutils curl dash file filesystem findutils'; \ msys 'pacman --noconfirm -Syy flex gawk gcc-libs grep gzip inetutils info'; \ msys 'pacman --noconfirm -Syy less lndir mintty ncurses pactoys-git patch'; \ msys 'pacman --noconfirm -Syy pax-git pkgfile rebase sed tar tftp-hpa time tzcode util-linux which'; \ $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
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ci/official/utilities/code_check_changed_files.bats
} # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check formatting for C++ files" { skip "clang-format doesn't match internal clang-format checker" echo "clang-format is recommended. Here are the suggested changes:" echo "============================="
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README.md
The TensorFlow project strives to abide by generally accepted best practices in open-source software development. ## Patching guidelines Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: * Clone the TensorFlow repo and switch to the corresponding branch for your
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RELEASE.md
* `tf.data`: * Graduated experimental APIs: * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s. * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.
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ci/official/README.md
- Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh` - Presubmit jobs (Run on every GitHub PR) - Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64
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CONTRIBUTING.md
your changes by running the command: ```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests.
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tensorflow/BUILD
selects.config_setting_group( name = "is_cuda_enabled_and_oss", match_all = [ ":is_cuda_enabled", ":oss", ], ) # Config setting that is satisfied when building with --config=cuda for Windows selects.config_setting_group( name = "is_cuda_enabled_and_windows", match_all = [ ":is_cuda_enabled", ":windows", ], )
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.bazelrc
# --incompatible_remove_legacy_whole_archive flag does. # This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate # Tensorflow to the default, however test coverage wasn't enough to catch the # errors. # There is ongoing work on Bazel team's side to provide support for transitive # shared libraries. As part of migrating to transitive shared libraries, we
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