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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# 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. # # Pass --config=pip to run the same suite of tests. If you want to run just one
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ci/official/utilities/setup_macos.sh
echo 'sure they are present on your system and try again.' exit 1 fi # "TFCI_MACOS_BAZEL_TEST_DIR_PATH" specifies the directory that Bazel should use # when running tests. Each test will be executed in a separate subdirectory # inside this directory. TF Mac builds need ~150 GB of disk space to be able to # run all the tests. Since TFCI Mac VMs execute Bazel test commands in a
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ci/official/wheel_test/update_requirements.sh
if [ -z "$1" ]; then echo "Usage: $0 <path_to_tensorflow_wheel> <python_version>" exit 1 fi TENSORFLOW_WHEEL_PATH="$1" PYTHON_VERSION="$2" # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" cd ../requirements_updater || exit 1 # Create the requirements_wheel_test.in file echo "tensorflow @ file://localhost/$TENSORFLOW_WHEEL_PATH" > requirements_wheel_test.in
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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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ci/official/requirements_updater/README.md
for an example. See [this commit](https://github.com/tensorflow/tensorflow/commit/5f7f05a80aac9b01325a78ec3fcff0dbedb1cc23) as a rough example of the steps below. All the files referenced below are located in the same directory as this README, unless indicated otherwise. 1) Add the new version to the `VERSIONS` variable inside `tensorflow/tools/toolchains/python/python_repo.bzl`. \
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
TF_SetStatus(status, TF_FAILED_PRECONDITION, "target path is a directory"); return; } // We cannot rename directories yet, so prevent this. if (stat(src, &st) != 0) { TF_SetStatusFromIOError(status, errno, src); return; } else if (S_ISDIR(st.st_mode)) { TF_SetStatus(status, TF_FAILED_PRECONDITION, "source path is a directory"); return; }
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ci/official/requirements_updater/updater.sh
# script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do touch "requirements_lock_$VERSION.txt"
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
# limitations under the License. # ============================================================================== set -euxo pipefail # Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" # # This will create a venv with that wheel file installed in it, and a symlink
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ci/official/envs/versions_upload
# Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/"
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tensorflow/c/env.cc
::tensorflow::Set_TF_Status_from_Status(status, s); if (s.ok()) { stats->length = cc_stats.length; stats->mtime_nsec = cc_stats.mtime_nsec; stats->is_directory = cc_stats.is_directory; } } void TF_NewWritableFile(const char* filename, TF_WritableFileHandle** handle, TF_Status* status) { std::unique_ptr<::tensorflow::WritableFile> f;
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