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.github/workflows/sigbuild-docker-branch.yml
registry: gcr.io username: _json_key password: ${{ secrets.GCP_CREDS }} - name: Generate variables for cache busting and tag naming run: | echo "DATE=$(date +'%Y-%m-%d')" >> "$GITHUB_OUTPUT" # Converts r2.9 to just 2.9 echo "REF=$(echo $GITHUB_REF_NAME | sed 's/r//g')" >> "$GITHUB_OUTPUT" id: vars - name: Build and push
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ci/official/utilities/extract_resultstore_links.py
os.makedirs(os.path.dirname(output_path), exist_ok=True) failure_count = 0 error_count = 0 date_time = datetime.datetime attrib = {'name': 'Bazel Invocations', 'time': '0.0', 'timestamp': date_time.isoformat(date_time.utcnow())} testsuites = ElemTree.Element('testsuites') testsuite = ElemTree.SubElement(testsuites, 'testsuite')
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 10.9K bytes - Viewed (0) -
README.md
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a non-guaranteed backward compatible API for [other languages](https://www.tensorflow.org/api_docs). Keep up-to-date with release announcements and security updates by subscribing to [******@****.***](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce). See all the [mailing lists](https://www.tensorflow.org/community/forums).
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.github/workflows/sigbuild-docker.yml
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CITATION.cff
- family-names: Zheng given-names: Xiaoqiang identifiers: - type: doi value: 10.5281/zenodo.4724125 description: The concept DOI for the collection containing all versions of the Citation File Format. date-released: "2015-11-09" license: "Apache-2.0" doi: 10.5281/zenodo.4724125
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CONTRIBUTING.md
python tf_doctest.py --file=<file_path> ``` This will run it using your installed version of TensorFlow. To be sure you're running the same code that you're testing: * Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/) `pip install -U tf-nightly` * Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.
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SECURITY.md
potentially exploit a vulnerability in the TensorFlow code that handles videos, which could allow them to execute arbitrary code on the system running TensorFlow. It is important to keep TensorFlow up to date with the latest security patches and follow the sandboxing guideline above to protect against these types of vulnerabilities. ## Security properties of execution modes
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.github/workflows/sigbuild-docker-presubmit.yml
with: registry: gcr.io username: _json_key password: ${{ secrets.GCP_CREDS }} - name: Grab the date to do cache busting (assumes same day OK to keep) run: | echo "DATE=$(date +'%Y-%m-%d')" >> "$GITHUB_OUTPUT" id: date - name: Build containers, and push to GCR only if the 'build and push to gcr.io for staging' label is applied id: docker_build
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ci/official/containers/linux_arm64/devel.usertools/get_test_list.sh
# Writes the list of tests that would be run from BAZEL_TEST_COMMAND to OUTPUT. # Hides all extra output and always exits with success for now. OUTPUT=$1 shift
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1K bytes - Viewed (0) -
LICENSE
or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without
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