mirror of
https://github.com/saymrwulf/onnxruntime.git
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### Description The CPU machine has 16 cores, so we can increase the parallel count. Compared with 2 runs. 1. https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=432328&view=results 2. https://dev.azure.com/aiinfra/Lotus/_build/results?buildId=432331&view=results The compilation took about 25 minutes if the parallel count is 15, while it took 41 minutes if the parallel count is 3 ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Co-authored-by: Yi Zhang <your@email.com> |
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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 | ||