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ci/official/upload.sh
DOWNLOADS="$(mktemp -d)" mkdir -p "$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
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/versions_upload
# limitations under the License. # ============================================================================== # 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
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 19:07:48 GMT 2024 - 1.6K 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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ci/official/envs/nightly_upload
# limitations under the License. # ============================================================================== # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. # 1. Upload nightlies 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/nightly/"
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ci/official/bisect.sh
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1.8K bytes - Viewed (0) -
.github/workflows/scorecards-analysis.yml
publish_results: true # Upload the results as artifacts (optional). - name: "Upload artifact" uses: actions/upload-artifact@83fd05a356d7e2593de66fc9913b3002723633cb # v3.1.1 with: name: SARIF file path: results.sarif retention-days: 5 # Upload the results to GitHub's code scanning dashboard. - name: "Upload to code-scanning"
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Dec 21 23:56:23 GMT 2022 - 2.4K bytes - Viewed (0) -
ci/official/README.md
# See full examples below for more details on these. Some other modifiers are: # Ex. versions_upload -- for TF official release versions # Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. #
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number.
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.github/workflows/arm-cd.yml
- name: Upload pip wheel to PyPI if: github.event_name == 'schedule' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v2')) # only if it is a scheduled nightly or tagged shell: bash
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.github/workflows/osv-scanner-scheduled.yml
# ============================================================================== name: OSV-Scanner Scheduled Scan on: schedule: - cron: 0 4 * * 1 permissions: # Require writing security events to upload SARIF file to security tab security-events: write # Only need to read contents contents: read jobs: scan-scheduled: if: github.repository == 'tensorflow/tensorflow'
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