Add capability of benchmarking arbitrary binary #1107
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1107
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 67a8910 with merge base 3475aed ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D64247087 |
Summary: Earlier version only allowed running binary that did not take any args and dependened on resources like model file, tokenizer file etc. This change adds capability of parsing args, sending args to aibench and parsing resources that also needs to be sent to aibench. TODO: add --local to the script to enable benchmarking on locally connected device. Reviewed By: swolchok Differential Revision: D64247087
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This pull request was exported from Phabricator. Differential Revision: D64247087 |
kirklandsign
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Oct 18, 2024
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Summary:
Earlier version only allowed running binary that did not take any args and
dependened on resources like model file, tokenizer file etc.
This change adds capability of parsing args, sending args to aibench and
parsing resources that also needs to be sent to aibench.
TODO: add --local to the script to enable benchmarking on locally connected
device.
Reviewed By: swolchok
Differential Revision: D64247087