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add sensitivity analysis tool for layer-wise FIT and Hessian trace #592

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merged 2 commits into from
Aug 6, 2024

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Hanxian97
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@Hanxian97 Hanxian97 commented Aug 2, 2024

Summary:
This is a sensitivity analysis tool to obtain the layer-wise average Hessian trace and FIT (Fisher Information Trace). (Hanxian's intern project milestone2)

Test Plan:
python scripts/FIT.py --checkpoint=MODEL_CHECKPOINT_PATH
python scripts/Hessian_vhp.py --checkpoint=MODEL_CHECKPOINT_PATH--layer_id=DESIRED_LAYER_TO_COMPUTE
python scripts/Hessian_grad.py --checkpoint=MODEL_CHECKPOINT_PATH --layer_id=DESIRED_LAYER_TO_COMPUTE

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pytorch-bot bot commented Aug 2, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/592

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 2, 2024
@Hanxian97 Hanxian97 requested a review from andrewor14 August 2, 2024 18:32
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Thanks! In the future we should add a short README to explain how to use this script. We can do that in a separate PR

@@ -0,0 +1,105 @@
import torch
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nit: can you use lowercase names for these 3 files?

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I have renamed them

@msaroufim
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@Hanxian97 @andrewor14 is this ready to be merged?

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Merging this. Thanks!

@andrewor14 andrewor14 merged commit 8eade54 into main Aug 6, 2024
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jainapurva pushed a commit that referenced this pull request Aug 7, 2024
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4 participants