Add CUDA 11.3 + PyTorch 1.11.0 and 1.12.1 #4205
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All non pytorch master pipelines are unchanged 3 new pileines are introduced. * 1) Windows CPU and 2) Linux CPU with pytorch/torchvision nightly builds * 2) Linux with CUDA 11.3, python 3.9 and nightly pytorch/torchvision CUDA 11.3 is needed because PyTorch does not distribute wheels for nightly 11.1 Python 3.9 was needed for the same reason; no torch wheels for 3.6
Signed-off-by: Thiago Crepaldi <[email protected]>
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Is this still relevant or should we close it? |
kaustubh-xinthe
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Currently CI supports only CUDA 11.1, which is sufficient for PyTorch versions up to 1.10.
For PyTorch 1.11+ and nightly builds, the minimum CUDA version is 11.3.
This PR adds 3 new pipelines:
The new pipelines are important to test end-to-end ONNX export tests, in which PyTorch inference results are numerically compared with the ONNX Runtime's . A second benefit is help identifying ONNX export issues earlier in the development cycle.
ps: Nightly builds are only installed in the new pipelines (aka
windows_cpu_build_pytorch_master,linux_cuda113_tests_pytorch_master_python39,linux_cpu_tests_pytorch_master. All existing pipelines are intact.