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make ci pipeline also run batch and convergence test (#6798)
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@ -15,6 +15,14 @@ steps:
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echo "Selecting GPU based on HIP_VISIBLE_DEVICES=$HIP_VISIBLE_DEVICES"
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displayName: 'Initialize environment'
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# update these if the E2E test data changes
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- script: |-
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python orttraining/tools/ci_test/download_azure_blob_archive.py \
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--azure_blob_url https://onnxruntimetestdata.blob.core.windows.net/training/onnxruntime_training_data.zip?snapshot=2020-06-15T23:17:35.8314853Z \
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--target_dir training_e2e_test_data \
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--archive_sha256_digest B01C169B6550D1A0A6F1B4E2F34AE2A8714B52DBB70AC04DA85D371F691BDFF9
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displayName: 'Download onnxruntime_training_data.zip data'
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- script: |-
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python tools/ci_build/build.py \
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--config RelWithDebInfo \
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@ -36,3 +44,19 @@ steps:
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../../tools/ci_build/github/pai/pai_test_launcher.sh
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displayName: 'Run unit tests'
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- script: |-
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python orttraining/tools/ci_test/run_batch_size_test.py \
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--binary_dir build/RelWithDebInfo \
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--model_root training_e2e_test_data/models \
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--gpu_sku MI100_32G
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displayName: 'Run batch size test'
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condition: succeededOrFailed() # ensure all tests are run
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- script: |-
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python orttraining/tools/ci_test/run_convergence_test.py \
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--binary_dir build/RelWithDebInfo \
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--model_root training_e2e_test_data/models \
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--training_data_root training_e2e_test_data/data \
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--gpu_sku MI100_32G
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displayName: 'Run convergence test'
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condition: succeededOrFailed() # ensure all tests are run
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