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ci/official/envs/enable_pycpp_build
# tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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.gitignore
/.bazelrc.user /.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/**
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ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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CONTRIBUTING.md
```bash # Install Docker first, then this will build and run cpu tests tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/... ``` See [TensorFlow Builds](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/ci_build) for details. #### Running doctest for testable docstring
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ci/official/utilities/code_check_changed_files.bats
if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi xargs -a $BATS_TEST_TMPDIR/files -n1 -P $(nproc --all) \ python -m pylint --rcfile=tensorflow/tools/ci_build/pylintrc --score false \ | grep -v "**** Module" \ | tee $BATS_TEST_TMPDIR/needs_help.txt [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]] }
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build:libtensorflow_build -- //tensorflow/tools/lib_package:libtensorflow.tar.gz //tensorflow/tools/lib_package:libtensorflow_jni.tar.gz //tensorflow/java:libtensorflow.jar //tensorflow/java:libtensorflow-src.jar //tensorflow/tools/lib_package:libtensorflow_proto.zip # For continuous builds
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.pylintrc
tensorflow/tools/ci_build/pylintrc...
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ci/official/envs/linux_arm64
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1
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WORKSPACE
) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "package_annotation", "pip_parse") NUMPY_ANNOTATIONS = { "numpy": package_annotation( additive_build_content = """\ filegroup( name = "includes", srcs = glob(["site-packages/numpy/core/include/**/*.h"]), ) cc_library( name = "numpy_headers", hdrs = [":includes"],
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tensorflow/BUILD
# copybara:uncomment_begin(google-only) # "//tools/cpp:asan_build": [ # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)", # ], # "//tools/cpp:hwasan_build": [ # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)", # ], # "//tools/cpp:msan_build": [ # "-Wl,--version-script,$(location //tensorflow/c:version_script.lds)",
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