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### Description Extend Windows GPU Packaging job building time out to 6 hours, and test stage to 3 hours. ### Motivation and Context There're still a few timeout issues after refactoring. The probability is about 20% in https://dev.azure.com/aiinfra/Lotus/_build?definitionId=84. I found the building could be finished in 4 hours if it becomes slow, https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=434340&view=logs&j=0c6ee496-b38e-55a9-3699-12934156e90f, although in most cases, it only take about 30 minutes. Not like before, the building couldn't be completed. So, In this PR, I extend the timeout to 6 hours. And one interesting thing, if one windows GPU job becomes slow, all other windows GPU jobs in the same run become slow too. So I doubt it has something with the ADO or virtualization. That is, it's not completely random. https://dev.azure.com/aiinfra/Lotus/_build?definitionId=841 |
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| .. | ||
| github | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| compile_triton.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| patch_manylinux.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| replace_urls_in_deps.py | ||
| requirements-transformers-test.txt | ||
| set-trigger-rules.py | ||
| update_tsaoptions.py | ||
| upload_python_package_to_azure_storage.py | ||