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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem.
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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. # Ex. 1: TFCI=py311,linux_x86_cuda,nightly_upload (nightly job)
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.github/workflows/trusted_partners.js
Additional reviewers can be added manually based on PR contents @param {!object} github enables querying for PR and also create issue using rest endpoint context has the commit message details in the payload @return {string} Returns the message with labels attached and assignees added */ const filter_action = async ({github, context, domain}) => { const labels = ['kokoro:force-run']; let assignees = [];
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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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SECURITY.md
security vulnerabilities. Please include the following information along with your report: - A descriptive title - Your name and affiliation (if any). - A description of the technical details of the vulnerabilities. - A minimal example of the vulnerability. It is very important to let us know how we can reproduce your findings. For memory corruption triggerable in
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ci/official/wheel_test/README.md
[requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing
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ci/official/utilities/generate_index_html.sh
# Usage: generate_index_html.sh /path/to/output/index.html cat > "$1" <<EOF <html> <head> <title>$(basename "$KOKORO_JOB_NAME")</title> </head> <body> <h1>TensorFlow Job Logs and Links</h1> <h2>Job Details</h2> <ul> <li>Job name: $KOKORO_JOB_NAME</li> <li>Job pool: $KOKORO_JOB_POOL</li> <li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li>
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LICENSE
All rights reserved. Caffe uses a shared copyright model: each contributor holds copyright over their contributions to Caffe. The project versioning records all such contribution and copyright details. If a contributor wants to further mark their specific copyright on a particular contribution, they should indicate their copyright solely in the commit message of the change when it is committed. LICENSE
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.github/workflows/scorecards-analysis.yml
with: results_file: results.sarif results_format: sarif # Publish the results to enable scorecard badges. For more details, see # https://github.com/ossf/scorecard-action#publishing-results. # For private repositories, `publish_results` will automatically be set to `false`, # regardless of the value entered here.
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.bazelrc
# MACOS X86 PYCPP # These are defined as build configs so that we can run a build only job. See # the note under "ARM64 PYCPP" for more details. build:macos_x86_pycpp_test_filters --test_tag_filters=-no_oss,-oss_excluded,-oss_serial,-no_oss_py38,-no_oss_py39,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test
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