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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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RELEASE.md
Husum, harumitsu.nobuta, Henry Spivey, hsm207, Jekyll Song, Jerome, Jiongyan Zhang, jjsjann123, John Sungjin Park, Johnson145, JoshVarty, Julian Wolff, Jun Wang, June-One, Kamil Sindi, Kb Sriram, Kdavis-Mozilla, Kenji, lazypanda1, Liang-Chi Hsieh, Loo Rong Jie, Mahesh Bhosale, MandarJKulkarni, ManHyuk, Marcus Ong, Marshal Hayes, Martin Pool, matthieudelaro, mdfaijul, mholzel, Michael
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CONTRIBUTING.md
Use `clang-tidy` to check your C/C++ changes. To install `clang-tidy` on ubuntu:16.04, do: ```bash apt-get install -y clang-tidy ``` You can check a C/C++ file by doing: ```bash clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc diff <my_cc_file> /tmp/my_cc_file.cc ``` #### Python coding style Changes to TensorFlow Python code should conform to
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SECURITY.md
TensorFlow models, please demonstrate an exploit against one of Alphabet's models in <https://tfhub.dev/> - An explanation of who can exploit this vulnerability, and what they gain when doing so. Write an attack scenario that demonstrates how your issue violates the use cases and security assumptions defined in the threat model. This will help us evaluate your report quickly, especially if the issue is
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous. bazel query "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)" done < $BATS_TEST_TMPDIR/missing_deps exit 1 fi } # The Python package is not allowed to depend on any CUDA packages. @test "Pip package doesn't depend on CUDA" { bazel cquery \
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tensorflow/BUILD
d="$${d#*external/farmhash_archive/src}" d="$${d#*external/$${extname}/}" d="$${d#_virtual_includes/*/}" fi mkdir -p "$@/$${d}" cp "$${f}" "$@/$${d}/" done """, tags = ["manual"], visibility = ["//visibility:public"], ) # copybara:comment_begin(oss-only) copy_file( name = "root_init_gen", src = select({
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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ci/official/utilities/code_check_full.bats
# it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous. bazel cquery "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)" done < $BATS_TEST_TMPDIR/missing_deps exit 1 fi } # The Python package is not allowed to depend on any CUDA packages. @test "Pip package doesn't depend on CUDA" { bazel cquery \
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.bazelrc
# Do not risk cache corruption. See: # 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.
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