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@GregoryComer GregoryComer commented Sep 16, 2025

Add a table showing pass rate by test parameters. This gives a breakdown by dtype and dynamic shape on/off for model tests, making it easier to see the pass rate for f32 + static shapes.

Also, run on release branches.

[ghstack-poisoned]
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GregoryComer commented Sep 16, 2025

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pytorch-bot bot commented Sep 16, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14360

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GregoryComer added a commit that referenced this pull request Sep 16, 2025
…own summary

ghstack-source-id: 629d694
ghstack-comment-id: 3300690399
Pull-Request: #14360
@meta-cla meta-cla 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 Sep 16, 2025
@GregoryComer GregoryComer added the release notes: none Do not include this in the release notes label Sep 16, 2025
[ghstack-poisoned]
GregoryComer added a commit that referenced this pull request Sep 16, 2025
…own summary

ghstack-source-id: 109a85e
ghstack-comment-id: 3300690399
Pull-Request: #14360
[ghstack-poisoned]
GregoryComer added a commit that referenced this pull request Sep 17, 2025
…own summary

ghstack-source-id: 3714c87
ghstack-comment-id: 3300690399
Pull-Request: #14360
[ghstack-poisoned]
GregoryComer added a commit that referenced this pull request Sep 17, 2025
…own summary

ghstack-source-id: 5cc6ab0
ghstack-comment-id: 3300690399
Pull-Request: #14360
@GregoryComer GregoryComer marked this pull request as ready for review September 17, 2025 05:16
[ghstack-poisoned]
GregoryComer added a commit that referenced this pull request Sep 17, 2025
…own summary

ghstack-source-id: 2f5128b
ghstack-comment-id: 3300690399
Pull-Request: #14360
@GregoryComer GregoryComer merged commit eeecd56 into main Sep 17, 2025
196 of 200 checks passed
@GregoryComer GregoryComer deleted the gh/GregoryComer/164/head branch September 17, 2025 19:30
StrycekSimon pushed a commit to nxp-upstream/executorch that referenced this pull request Sep 23, 2025
…own summary (pytorch#14360)

Add a table showing pass rate by test parameters. This gives a breakdown
by dtype and dynamic shape on/off for model tests, making it easier to
see the pass rate for f32 + static shapes.

Also, run on release branches.
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