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Arm backend: Update docs to mention partial quantization #16291
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VGF has now support for partial quantization, i.e., having the model run in mixed numerical precision. Update the markdown documentation to include and explain this feature. Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com> Change-Id: I3b4088030d8739e8565152926100cb52c11f26f5
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16291
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Cancelled Job, 1 Unrelated FailureAs of commit 5b30f7b with merge base cf8496a ( NEW FAILURE - The following job has failed:
CANCELLED JOB - The following job was cancelled. Please retry:
UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
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@pytorchbot label ciflow/trunk |
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@pytorchbot label "partner: arm" |
This PR needs a
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@martinlsm does the docc "Preview" link under "Helpful Links" above look like you expect ? |
Thanks for pointing that out. Yes, I verified it and it works like I expect it to. |
That is kind of neat that it has been added to the CI like this :) |
VGF has now support for partial quantization, i.e., having the model run in mixed numerical precision. Update the markdown documentation to include and explain this feature. Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com> Co-authored-by: Martin Lindström <Martin.Lindstroem@arm.com>
VGF has now support for partial quantization, i.e., having the model run in mixed numerical precision. Update the markdown documentation to include and explain this feature.
cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai