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Fix rowwise_scaled_linear_sparse_cutlass test#3768

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fix_rowwise_scaled_linear_sparse_cutlass_test
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Fix rowwise_scaled_linear_sparse_cutlass test#3768
andrewor14 wants to merge 1 commit into
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fix_rowwise_scaled_linear_sparse_cutlass_test

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@andrewor14

@andrewor14 andrewor14 commented Jan 29, 2026

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Summary:

pytest test/test_ops_rowwise_scaled_linear_sparse_cutlass.py

This gives

E       RuntimeError: The size of tensor a (4) must match the size of tensor b (65) at non-singleton dimension 1

Seems like it's caused by #3759. We just need to update the test.

Test Plan:

pytest test/test_ops_rowwise_scaled_linear_sparse_cutlass.py

@andrewor14
Fix rowwise_scaled_linear_sparse_cutlass test
809ec3d 
**Summary:**

```
pytest test/test_ops_rowwise_scaled_linear_sparse_cutlass.py
```

This gives

```
E       RuntimeError: The size of tensor a (4) must match the size of tensor b (65) at non-singleton dimension 1
```

Seems like it's caused by #3759.
We just need to update the test.

**Test Plan:**

```
pytest test/test_ops_rowwise_scaled_linear_sparse_cutlass.py
```
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pytorch-bot Bot commented Jan 29, 2026 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3768

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@andrewor14 andrewor14 requested a review from jerryzh168 January 29, 2026 21:15
@andrewor14 andrewor14 marked this pull request as ready for review January 29, 2026 21:15
@andrewor14 andrewor14 added the module: not user facing Use this tag if you don't want this PR to show up in release notes label Jan 29, 2026
@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 Jan 29, 2026
@jerryzh168

jerryzh168 commented Jan 29, 2026

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should we add the test run to CI?

@andrewor14 andrewor14 mentioned this pull request Jan 29, 2026
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@andrewor14

andrewor14 commented Jan 29, 2026 •
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I think there are reasons why it wasn't added to CI, maybe because it needs special hardware or something? I'll let @jcaip do that when he gets back

@jerryzh168

jerryzh168 commented Jan 29, 2026

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I think there are reasons why it wasn't added to CI, maybe because it needs special hardware or something? I'll let @jcaip do that when he gets back

I think you can probably add to H100 test, but I'm also enabling the v2 version using this op in my PR any ways: https://github.com/pytorch/ao/pull/3727/changes#diff-bd400f440bccb67a4d23b5cc5c3ce843a1a6219354e25d69cd167827f62e415b

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