[TEST] Modernize test_sort_large #155546
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[TEST] Modernize test_sort_large #155546
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/155546
Note: Links to docs will display an error until the docs builds have been completed. ⏳ 1 Pending, 2 Unrelated FailuresAs of commit fea7174 with merge base 3863bbb ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
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zou3519
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| self.assertEqual(vm, torch.arange(8192, dtype=dtype, device=device)) | ||
| self.assertEqual(im, t0.sort().indices, exact_dtype=False) |
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No, CI machines are not that big, but I have tested it on GB300 which has 288GB of memory.
eqy
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Jun 10, 2025
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Merge startedYour 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 |
jithunnair-amd
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Aug 25, 2025
Currently std::min -> ::min did not work as expected on ROCm when input values >= 2147483648 Replace std::min to ternary statement Also std::min can be replaced by explicit typing std::min<int64_t> fixes on ROCm: test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_cuda_float16 error: RuntimeError: Cannot sort dimension of length 8192 Combines upstream PRs: - pytorch#161054 to fix std::min on ROCm - pytorch#155546 fix python test - pytorch#159939 change test dtype from int8 to float16 Fixes: SWDEV-526432
dhonnappa-amd
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Aug 25, 2025
Currently std::min -> ::min did not work as expected on ROCm when input values >= 2147483648 Replace std::min to ternary statement Also std::min can be replaced by explicit typing std::min<int64_t> fixes on ROCm: test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_cuda_float16 error: RuntimeError: Cannot sort dimension of length 8192 Combines upstream PRs: - pytorch#161054 to fix std::min on ROCm - pytorch#155546 fix python test - pytorch#159939 change test dtype from int8 to float16 Fixes: SWDEV-526432
dhonnappa-amd
pushed a commit
to ROCm/pytorch
that referenced
this pull request
Aug 25, 2025
Currently std::min -> ::min did not work as expected on ROCm when input values >= 2147483648 Replace std::min to ternary statement Also std::min can be replaced by explicit typing std::min<int64_t> fixes on ROCm: test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_cuda_float16 error: RuntimeError: Cannot sort dimension of length 8192 Combines upstream PRs: - pytorch#161054 to fix std::min on ROCm - pytorch#155546 fix python test - pytorch#159939 change test dtype from int8 to float16 Fixes: SWDEV-526432
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Since its introduction ~4 years ago, the test
test_sort_largehas always been deselected because it requires 200GB of CUDA memory. Now, as we do have GPUs this big, it gets selected, but fails withvar_meannot being a member iftorch.Tensorandvar_meanaccepting only floating point tensors.