Adding DML to python cuda package #22606
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…r packaging DML EP in the same ORT GPU pkg.
snnn
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jchen351
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# Conflicts: # tools/ci_build/github/azure-pipelines/stages/py-win-gpu-stage.yml
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# Conflicts: # tools/ci_build/github/azure-pipelines/stages/py-win-gpu-stage.yml
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Please run the pipelines you modified. |
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Previously we saw after this change "Python-CUDA-Packaging-Pipeline" always timed out. Was the issue resolved or not? |
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Description
Adding a new parameter --devices for the
create_backend_testfunction inonnxruntime/test/python/onnx_backend_test_series.pyto allow specifying the devices to test.Because both tests and supported EPs are in exclusion lists. We only run tests that is compatible for all devices from args.devices, and EPs that are defined.
In case when only CUDA or DML EP are enabled, Python packaging tests will only run the tests that is compatible with the enabled EP, and only the enabled EP and CPU EP will be enabled. CPU EP is always enabled.
In case when both CUDA and DML EP are enabled. Python packaging tests will only run the tests that is compatible with both CUDA and DML, and only CPU EP will be enabled (CUDA and DML EPs are mutually exclusive). CPU EP is always enabled.
Motivation and Context