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92292de135
* 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>
35 lines
1.7 KiB
YAML
35 lines
1.7 KiB
YAML
jobs:
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- job: Linux_CI_GPU_TENSORRT_PERF
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pool: Linux-GPU-TensorRT-Perf
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variables:
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ALLOW_RELEASED_ONNX_OPSET_ONLY: '1'
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timeoutInMinutes: 1200
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steps:
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#- template: templates/set-test-data-variables-step.yml
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#
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- script: 'python3 ort_build_latest.py -c /usr/local/cuda-11.0/ -t /home/hcsuser/tensorrt/TensorRT-7.1.3.4/ -o /home/hcsuser/repos/onnxruntime'
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displayName: 'Upgrade ORT wheel'
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workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
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- script: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/perf.sh "onnx-zoo-models"'
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displayName: 'Command Line Script 1'
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workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
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- script: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/perf.sh "many-models"'
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displayName: 'Command Line Script 2'
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workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
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- script: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/perf.sh "partner-models"'
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displayName: 'Command Line Script 3'
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workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
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- script: 'mkdir $(Build.SourcesDirectory)/Artifact && cp -r $(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/result/ $(Build.SourcesDirectory)/Artifact'
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displayName: 'Prepare Artifacts'
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workingDirectory: '$(Build.SourcesDirectory)/onnxruntime/python/tools/tensorrt/perf/'
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- task: PublishBuildArtifacts@1
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inputs:
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pathtoPublish: '$(Build.SourcesDirectory)/Artifact'
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artifactName: 'result'
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- template: templates/clean-agent-build-directory-step.yml
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