fix torch.sparse.log_softmax on CPU #161959

jiayisunx · 2025-09-02T07:49:55Z

Stack from ghstack (oldest at bottom):

-> fix torch.sparse.log_softmax on CPU #161959

Example:

import torch
from torch.sparse import log_softmax as sparse_log_softmax


def test_bug():
    a = torch.rand(4, 3)
    b = a - 10000000.0
    b_sparse = b.to_sparse()

    cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense()
    print('cpu_out_sparse =', cpu_out_sparse)

    b_sparse_double = b.double().to_sparse()
    cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense()
    print('cpu_out_sparse_double =', cpu_out_sparse_double)


if __name__ == '__main__':
    test_bug()

Output:

before

cpu_out_sparse = tensor([[-2., -1., -2.],
        [-1., -1., -1.],
        [-1., -2., -2.],
        [-1., -1., -2.]])
cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514],
        [-1.0986, -1.0986, -1.0986],
        [-0.5514, -1.5514, -1.5514],
        [-0.8620, -0.8620, -1.8620]], dtype=torch.float64)

after

cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620],
        [-1.0986, -1.0986, -1.0986],
        [-1.8620, -0.8620, -0.8620],
        [-1.0986, -1.0986, -1.0986]])
cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620],
        [-1.0986, -1.0986, -1.0986],
        [-1.8620, -0.8620, -0.8620],
        [-1.0986, -1.0986, -1.0986]], dtype=torch.float64)

pytorch-bot · 2025-09-02T07:50:00Z

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ghstack-source-id: 75cc1cb Pull Request resolved: #161959

[ghstack-poisoned]

ghstack-source-id: 0a1357b Pull Request resolved: #161959

[ghstack-poisoned]

jiayisunx · 2025-09-09T06:17:52Z

@pytorchbot merge

pytorchmergebot · 2025-09-09T06:19:41Z

Merge started

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davidberard98 · 2025-09-09T12:31:45Z

@pytorchbot revert -c nosignal -m "test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 GH job link HUD commit link"

pytorchmergebot · 2025-09-09T12:33:12Z

@pytorchbot successfully started a revert job. Check the current status here.
Questions? Feedback? Please reach out to the PyTorch DevX Team

This reverts commit 002e594. Reverted #161959 on behalf of https://github.com/davidberard98 due to test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 [GH job link](https://github.com/pytorch/pytorch/actions/runs/17573794461/job/49915138287) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/002e59440afe8711019e68df500f5e18b9a43f3c) ([comment](#161959 (comment)))

pytorchmergebot · 2025-09-09T12:33:29Z

@jiayisunx your PR has been successfully reverted.

malfet · 2025-09-09T14:40:26Z

test/test_sparse.py

        self._check_zero_nnz_softmax_op(torch.sparse.log_softmax, 1, device, dtype)
        self._check_zero_nnz_softmax_op(torch.sparse.log_softmax, 10, device, dtype)

+    @dtypes(torch.float)


I think all you need to do here, is add expectedFailureMPS decorator

ghstack-source-id: 8237b1c Pull Request resolved: #161959

[ghstack-poisoned]

jiayisunx · 2025-09-11T07:44:40Z

@pytorchbot merge

pytorchmergebot · 2025-09-11T07:46:27Z

Merge started

Your change will be merged once all checks pass (ETA 0-4 Hours).

Learn more about merging in the wiki.

Questions? Feedback? Please reach out to the PyTorch DevX Team

Advanced Debugging

Check the merge workflow status
here

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007

This reverts commit 002e594. Reverted pytorch#161959 on behalf of https://github.com/davidberard98 due to test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 [GH job link](https://github.com/pytorch/pytorch/actions/runs/17573794461/job/49915138287) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/002e59440afe8711019e68df500f5e18b9a43f3c) ([comment](pytorch#161959 (comment)))

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/mingfeima

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007

This reverts commit 002e594. Reverted pytorch#161959 on behalf of https://github.com/davidberard98 due to test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 [GH job link](https://github.com/pytorch/pytorch/actions/runs/17573794461/job/49915138287) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/002e59440afe8711019e68df500f5e18b9a43f3c) ([comment](pytorch#161959 (comment)))

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/mingfeima

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007

This reverts commit 002e594. Reverted pytorch#161959 on behalf of https://github.com/davidberard98 due to test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 [GH job link](https://github.com/pytorch/pytorch/actions/runs/17573794461/job/49915138287) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/002e59440afe8711019e68df500f5e18b9a43f3c) ([comment](pytorch#161959 (comment)))

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/mingfeima

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007

This reverts commit 002e594. Reverted pytorch#161959 on behalf of https://github.com/davidberard98 due to test failure: test_sparse.py::TestSparseMPS::test_log_softmax_float_mps_float32 [GH job link](https://github.com/pytorch/pytorch/actions/runs/17573794461/job/49915138287) [HUD commit link](https://hud.pytorch.org/pytorch/pytorch/commit/002e59440afe8711019e68df500f5e18b9a43f3c) ([comment](pytorch#161959 (comment)))

Fix pytorch#152293. **Example:** ``` import torch from torch.sparse import log_softmax as sparse_log_softmax def test_bug(): a = torch.rand(4, 3) b = a - 10000000.0 b_sparse = b.to_sparse() cpu_out_sparse = sparse_log_softmax(b_sparse, dim=1).to_dense() print('cpu_out_sparse =', cpu_out_sparse) b_sparse_double = b.double().to_sparse() cpu_out_sparse_double = sparse_log_softmax(b_sparse_double, dim=1).to_dense() print('cpu_out_sparse_double =', cpu_out_sparse_double) if __name__ == '__main__': test_bug() ``` **Output:** - before ``` cpu_out_sparse = tensor([[-2., -1., -2.], [-1., -1., -1.], [-1., -2., -2.], [-1., -1., -2.]]) cpu_out_sparse_double = tensor([[-1.5514, -0.5514, -1.5514], [-1.0986, -1.0986, -1.0986], [-0.5514, -1.5514, -1.5514], [-0.8620, -0.8620, -1.8620]], dtype=torch.float64) ``` - after ``` cpu_out_sparse = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]]) cpu_out_sparse_double = tensor([[-0.8620, -1.8620, -0.8620], [-1.0986, -1.0986, -1.0986], [-1.8620, -0.8620, -0.8620], [-1.0986, -1.0986, -1.0986]], dtype=torch.float64) ``` Pull Request resolved: pytorch#161959 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/mingfeima

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fix torch.sparse.log_softmax on CPU

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fix torch.sparse.log_softmax on CPU

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fix torch.sparse.log_softmax on CPU

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fix torch.sparse.log_softmax on CPU #161959

fix torch.sparse.log_softmax on CPU #161959

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jiayisunx commented Sep 2, 2025 •

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fix torch.sparse.log_softmax on CPU #161959

fix torch.sparse.log_softmax on CPU #161959

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jiayisunx commented Sep 2, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/161959

✅ No Failures

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jiayisunx commented Sep 9, 2025

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jiayisunx commented Sep 11, 2025

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jiayisunx commented Sep 2, 2025 •

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