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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
cc_library( name = "posix_filesystem_helper", srcs = ["posix_filesystem_helper.cc"], hdrs = ["posix_filesystem_helper.h"], deps = [":copy_file"], ) # On Linux, we can copy files faster using `sendfile`. But not elsewhere. # Hence, this private library to select which implementation to use. cc_library( name = "copy_file", srcs = select({ "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],
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.github/workflows/sigbuild-docker.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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ci/official/utilities/code_check_full.bats
EOF find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats [[ ! -s $BATS_FILE_TMPDIR/repeats ]] } # It's unclear why, but running this on //tensorflow/... is faster than running # only on affected targets, usually. There are targets in //tensorflow/lite that # don't pass --nobuild, so they're on their own. # # Although buildifier checks for formatting as well, "bazel build nobuild"
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.bazelrc
# https://github.com/bazelbuild/bazel/issues/3360 build:linux --experimental_guard_against_concurrent_changes # Configure short or long logs build:short_logs --output_filter=DONT_MATCH_ANYTHING build:verbose_logs --output_filter= # Instruction set optimizations # TODO(gunan): Create a feature in toolchains for avx/avx2 to # avoid having to define linux/win separately. build:avx_linux --copt=-mavx
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tensorflow/c/eager/tape.h
// - target: dy in dx/dy // - source: dx in dx/dy // - tensor: one of the many inputs or outputs of an operation // // Below here we do the gradient algorithm. It works as follows: // // First we filter the tape to just the subset of operations we want to // differentiate. In the process of doing so we count how many times each Tensor // is used as an input to an op (so we know when we're done computing gradients
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ci/README.md
The CI folder contains the configuration files and scripts used to build, test, and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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ci/official/containers/linux_arm64/devel.usertools/code_check_changed_files.bats
# To get the as-merged branch during the CI tests git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else # If the branch is not present, then diff against origin/master git diff --diff-filter ACMRT --name-only origin/master > $BATS_FILE_TMPDIR/changed_files fi }
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.github/workflows/sigbuild-docker-branch.yml
runs-on: ubuntu-latest strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] steps: - name: Delete unnecessary tools folder run: rm -rf /opt/hostedtoolcache - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Set up Docker Buildx
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ci/official/upload.sh
# can't be set inside the rest of the _upload envs. FINAL_URI="$TFCI_ARTIFACT_FINAL_GCS_URI/$TF_VER_FULL" gsutil -m rsync -d -r "$DOWNLOADS" "$FINAL_URI" # Also mirror the latest-uploaded folder to the "latest" directory. # GCS does not support symlinks. gsutil -m rsync -d -r "$FINAL_URI" "$TFCI_ARTIFACT_LATEST_GCS_URI" fi if [[ "$TFCI_ARTIFACT_FINAL_PYPI_ENABLE" == 1 ]]; then
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