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[quant][pt2e] Add fold_quantize=True for all convert_pt2e calls#117797

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jerryzh168
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Summary: In preparation for enabling fold_quantize=True by default

Test Plan: CI

Differential Revision: D52879612

@pytorch-botpytorch-botbot added the topic: not user facingtopic category labelJan 18, 2024
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pytorch-botbot commentedJan 18, 2024•
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🔗 Helpful Links

🧪 See artifacts and rendered test results athud.pytorch.org/pr/117797

Note: Links to docs will display an error until the docs builds have been completed.

✅ You can merge normally! (5 Unrelated Failures)

As of commit5189971 with merge base8f91a53 (image):

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

BROKEN TRUNK - The following job failed but were present on the merge base:

👉Rebase onto the `viable/strict` branch to avoid these failures

UNSTABLE - The following job failed but was likely due to flakiness present on trunk and has been marked as unstable:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

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This pull request wasexported from Phabricator. Differential Revision:D52879612

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This pull request wasexported from Phabricator. Differential Revision:D52879612

@pytorch-botpytorch-botbot added the ciflow/trunkTrigger trunk jobs on your pull request labelJan 19, 2024
jerryzh168 added a commit to jerryzh168/pytorch that referenced this pull requestJan 19, 2024
…rch#117797)Summary:X-link:pytorch/executorch#1640In preparation for enabling fold_quantize=True by defaultTest Plan: CIReviewed By: andrewor14Differential Revision: D52879612
jerryzh168 added a commit to jerryzh168/executorch-1 that referenced this pull requestJan 19, 2024
Summary:X-link:pytorch/pytorch#117797In preparation for enabling fold_quantize=True by defaultReviewed By: andrewor14Differential Revision: D52879612
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This pull request wasexported from Phabricator. Differential Revision:D52879612

…rch#117797)Summary:X-link:pytorch/executorch#1640In preparation for enabling fold_quantize=True by defaultTest Plan: CIReviewed By: andrewor14Differential Revision: D52879612
jerryzh168 added a commit to jerryzh168/executorch-1 that referenced this pull requestJan 20, 2024
Summary:X-link:pytorch/pytorch#117797In preparation for enabling fold_quantize=True by defaultReviewed By: andrewor14Differential Revision: D52879612
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This pull request wasexported from Phabricator. Differential Revision:D52879612

facebook-github-bot pushed a commit to pytorch/executorch that referenced this pull requestJan 24, 2024
Summary:X-link:pytorch/pytorch#117797Pull Requestresolved:#1640In preparation for enabling fold_quantize=True by defaultReviewed By: andrewor14Differential Revision: D52879612fbshipit-source-id: a3db1319b8ee4fac713946453eafdcd437f63a7e
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@pytorchbot merge -f 'Landed internally'

(Initiating merge automatically since Phabricator Diff has merged, using force because this PR might not pass merge_rules.json but landed internally)

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Merge started

Your change will be merged immediately since you used the force (-f) flag,bypassing any CI checks (ETA: 1-5 minutes). Please use-f as last resort and instead consider-i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

Learn more about merging in thewiki.

Questions? Feedback? Please reach out to thePyTorch DevX Team

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@andrewor14andrewor14andrewor14 approved these changes

@digantdesaidigantdesaiAwaiting requested review from digantdesai

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