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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz
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ci/official/envs/versions_upload
# pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse" TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183. build --copt=-Wno-gnu-offsetof-extensions # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz
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ci/official/README.md
# Advanced: Select specific build/test targets with "any.sh". # TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh # Afterwards: Examine the results, which will include: The bazel cache, # generated artifacts like .whl files, and "script.log", from the script. # Note that files created under Docker will be owned by "root". ls build_output ``` ## Contribution & Maintenance
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ci/official/libtensorflow.sh
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 19:07:48 GMT 2024 - 1.5K bytes - Viewed (0) -
ci/official/wheel.sh
tfrun ./ci/official/utilities/rename_and_verify_wheels.sh if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files. gsutil cp -n "$TFCI_OUTPUT_DIR"/*.whl "$TFCI_ARTIFACT_STAGING_GCS_URI" fi if [[ "$TFCI_WHL_BAZEL_TEST_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 06 21:54:13 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
# to PyPI. if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then pip install twine==3.6.0 fi # Scheduled nightly and release builds upload build artifacts (Pip packages, # Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as # a service account that has the right permissions to be able to do so. set +x if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
RELEASE.md
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ci/official/upload.sh
mkdir -p "$DOWNLOADS" gsutil -m rsync -r "$TFCI_ARTIFACT_STAGING_GCS_URI" "$DOWNLOADS" ls "$DOWNLOADS" # Upload all build artifacts to e.g. gs://tensorflow/versions/2.16.0-rc1 (releases) or # gs://tensorflow/nightly/2.16.0-dev20240105 (nightly), overwriting previous values. if [[ "$TFCI_ARTIFACT_FINAL_GCS_ENABLE" == 1 ]]; then gcloud auth activate-service-account --key-file="$TFCI_ARTIFACT_FINAL_GCS_SA_PATH"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 24 20:52:12 GMT 2024 - 2.8K bytes - Viewed (0) -
ci/official/envs/no_upload
# Disable ALL uploads of any kind. TFCI_ARTIFACT_FINAL_GCS_ENABLE= TFCI_ARTIFACT_FINAL_GCS_SA_PATH= TFCI_ARTIFACT_FINAL_GCS_URI= TFCI_ARTIFACT_FINAL_PYPI_ARGS= TFCI_ARTIFACT_FINAL_PYPI_ENABLE= TFCI_ARTIFACT_LATEST_GCS_URI= TFCI_ARTIFACT_STAGING_GCS_ENABLE= TFCI_ARTIFACT_STAGING_GCS_URI=
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