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.github/workflows/stale-issues.yml
days-before-issue-close: 7 stale-issue-label: "stale" # reason for closed the issue default value is not_planned close-issue-reason: completed # List of labels to remove when issues/PRs unstale. labels-to-remove-when-unstale: 'stat:awaiting response' only-labels: "stat:awaiting response" stale-issue-message: >
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Nov 23 20:04:38 GMT 2023 - 4.1K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-other.md
name: TensorFlow Lite Other Issue description: Use this template to report any issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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.github/workflows/issue-on-pr-rollback.yml
name: Creates a GitHub Issue when a PR Rolled back via Commit to Master on: push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read if: | github.repository == 'tensorflow/tensorflow' &&
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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CONTRIBUTING.md
navigate to the [GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start looking through interesting issues. If you are not sure of where to start, then start by trying one of the smaller/easier issues here i.e. [issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue) and then take a look at the
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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2
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SECURITY.md
some form of isolation when dealing with untrusted data. As a result, this document also outlines what issues we consider as TensorFlow security vulnerabilities. We recognize issues as vulnerabilities only when they occur in scenarios that we outline as safe; issues that have a security impact only when TensorFlow is used in a discouraged way (e.g. running untrusted models or checkpoints, data parsing
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
--- name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
name: TensorFlow Issue Template description: Use this template to report TensorFlow-related issues body: - type: dropdown id: issue-type attributes: label: Issue type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request
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.github/workflows/trusted-partners.yml
on: pull_request_target: permissions: contents: read jobs: assign-partner-tags: runs-on: ubuntu-latest permissions: # Needed to attach tags into the PR issues: write contents: write pull-requests: write if: | github.event.pull_request.draft == false && github.event.sender.type == 'User' steps: - name: Checkout repo
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