Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

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@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

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❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

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

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@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

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@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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

@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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ciflow/trunkCLA SignedThis label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.partner: armFor backend delegation, kernels, demo, etc. from the 3rd-party partner, Armrelease notes: noneDo not include this in the release notes

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4 participants

@YufengShi-dudu@ArmRyan@zingo@Sebastian-Larsson
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Skip to content

Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

Conversation

@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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

@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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CollaboratorAuthor

int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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ciflow/trunkCLA SignedThis label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.partner: armFor backend delegation, kernels, demo, etc. from the 3rd-party partner, Armrelease notes: noneDo not include this in the release notes

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Successfully merging this pull request may close these issues.

4 participants

@YufengShi-dudu@ArmRyan@zingo@Sebastian-Larsson
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Skip to content

Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

Conversation

@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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

@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

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@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

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❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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CollaboratorAuthor

int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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ciflow/trunkCLA SignedThis label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.partner: armFor backend delegation, kernels, demo, etc. from the 3rd-party partner, Armrelease notes: noneDo not include this in the release notes

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@YufengShi-dudu@ArmRyan@zingo@Sebastian-Larsson
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

Conversation

@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

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❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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CollaboratorAuthor

int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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ciflow/trunkCLA SignedThis label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.partner: armFor backend delegation, kernels, demo, etc. from the 3rd-party partner, Armrelease notes: noneDo not include this in the release notes

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Successfully merging this pull request may close these issues.

4 participants

@YufengShi-dudu@ArmRyan@zingo@Sebastian-Larsson
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Arm backend: Match arg ranks for min/max ops - #16181

Merged
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
Merged

Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

Conversation

@YufengShi-dudu

@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16181

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

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 2 Cancelled Jobs, 3 Unrelated Failures

As of commit df5f098 with merge base 31aa8d3 (image):

CANCELLED JOBS - The following jobs were cancelled. Please retry:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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

@meta-clameta-claBot 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 Dec 10, 2025
@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

Copy link
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CollaboratorAuthor

int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
291 of 296 checks passed
xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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Labels

ciflow/trunkCLA SignedThis label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.partner: armFor backend delegation, kernels, demo, etc. from the 3rd-party partner, Armrelease notes: noneDo not include this in the release notes

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@YufengShi-dudu@ArmRyan@zingo@Sebastian-Larsson
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Arm backend: Match arg ranks for min/max ops - #16181

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Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops
Dec 16, 2025
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Arm backend: Match arg ranks for min/max ops#16181
Sebastian-Larsson merged 4 commits into
pytorch:mainfrom
YufengShi-dudu:match-arg-ranks-for-max-min-ops

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@YufengShi-duduYufengShi-dudu commented Dec 10, 2025

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  • Int32 clamp is decomposed into min/max, but input_tensor and min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
  • Fix this by matching the input ranks in MatchArgRanksPass

Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48

cc @freddan80@per@zingo@oscarandersson8218@digantdesai

@YufengShi-duduYufengShi-dudu added partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm ciflow/trunk release notes: none Do not include this in the release notes labels Dec 10, 2025
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@ArmRyan

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ())
after subsequent passes. This violates the TOSA requirements for
TOSA.MINIMUM and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Change-Id: I47a3bb73832ddc35553cd3e5b65085155eb9ca48
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
@YufengShi-dudu
YufengShi-duduforce-pushed the match-arg-ranks-for-max-min-ops branch from e50aca5 to b28d0a6CompareDecember 11, 2025 15:12
@YufengShi-dudu

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int32 clamp already does a full op to handle the rank difference. If this is not working properly you should add a test that triggers this error or if it is a replacement, you should remove the full op

Hey Ryan, thanks for your comment. I realize DecomposeInt32ClampPass does match the input ranks of aten.clamp.default. However, some passes between DecomposeInt32ClampPass and MatchArgRanksPass cause the input ranks to become unmatched. We can rematch them in MatchArgRanksPass.

This issue was found by some internal model tests and cannot be easily reproduced with an op test, but we have verified the fix against those internal models.

Thank you!

@zingo

zingo commented Dec 12, 2025

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Arm tests might fail on test_index_tensor_tosa @oscarandersson8218 is working on a fix
#16220

@Sebastian-Larsson
Sebastian-Larsson merged commit a3a0190 into pytorch:mainDec 16, 2025
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xingguo01 pushed a commit to xingguo01/executorch that referenced this pull request Dec 18, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
jirioc pushed a commit to nxp-upstream/executorch that referenced this pull request Dec 19, 2025
- Int32 clamp is decomposed into min/max, but input_tensor and
min_arg/max_arg can end up with different ranks (e.g. (1,) vs ()) after
subsequent passes. This violates the TOSA requirements for TOSA.MINIMUM
and TOSA.MAXIMUM in the node visitors.
- Fix this by matching the input ranks in MatchArgRanksPass
Signed-off-by: Yufeng Shi <yufeng.shi@arm.com>
Co-authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
Co-authored-by: Rob Elliott <Robert.Elliott@arm.com>
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