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* Add YAML file for pipeline * Modify typo * Add working directory * Modify and test * Modfiy and test * Modify and test * Modify and test * Modify * Modify * Modify * Modify * Make sure to copy all the result files * Add clearn up * Modify * Modify agent pool name * Upload only specific artifacts * Modify * Integrated CI Pipeline for running TRT perf as well as added the “large amount of models” into perf model target * Fix bug * Fix bug * Add reading the information regarding previously known failing models and then skip testing them during benchmark/validation * Modify the script file for CI * Replace print with logger.info * Fix bug * Fix bug * Refine the code * Modify the script so that it can capture script segmentation fault while running ORT * Fix bug * fix bug * fix bug * Add debug info * fix bug * Refine perf code * Refine the code * fix bug * Code refactoring * change many-models path * remove metadata after validation/benchmark are done * Update README.md * Fix bug so that metadata doesn't hold stale value * Remove hardcode and update README * Add arguments to the script to make it run correctly * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * Fix bug so that metadata doesn't hold stale value * Fix small bug of finding test dataset directory for FP16 test data, as well as modification of some output information * use -i random for perf test of TRT changes Co-authored-by: Olivia Jain <oljain@microsoft.com> |
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| azure-pipelines | ||
| linux | ||
| pai | ||
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| download_test_data.py | ||