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.github/workflows/scorecards-analysis.yml
jobs: analysis: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks name: Scorecards analysis runs-on: ubuntu-latest permissions: # Needed to upload the results to code-scanning dashboard. security-events: write id-token: write steps: - name: "Checkout code" uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 with:
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ci/official/README.md
# are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link), # click to "Invocation Details" and find BUILD_CONFIG, which will contain a TFCI # value in the "env_vars" list that you can choose to copy that environment.
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RELEASE.md
now allows you to instrument a TensorFlow program and dump debugging information to a directory on the file system. The directory can be read and visualized by a new interactive dashboard in TensorBoard 2.3 called [Debugger V2](https://www.tensorflow.org/tensorboard/debugger_v2), which reveals the details of the TensorFlow program including graph structures,
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