[pt2e] Make prepare and convert faster by caching #2983
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**Summary:** This is the torchao version of pytorch/pytorch#162550 by @navsud. Including the PR description here again: D79674759 tried to fix the expensive prepare and convert steps, as assert_and_get_unique_device was called multiple times. This change fixes that issue by using functools.cache decorator. **Test Plan:** Verified on llm export to QNN. LLM Quantization prepare time of ~20min reduced to ~3min.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2983
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b88478e with merge base 10ba659 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Sep 11, 2025
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Summary: This is the torchao version of pytorch/pytorch#162550 by @navsud. Including the PR description here again:
D79674759 tried to fix the expensive prepare and convert steps, as assert_and_get_unique_device was called multiple times. This change fixes that issue by using functools.cache decorator.
Test Plan:
Verified on llm export to QNN.
LLM Quantization prepare time of ~20min reduced to ~3min.