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💊 CI failures summary and remediationsAs of commit a62140a (more details on the Dr. CI page):
🕵️ 3 new failures recognized by patternsThe following CI failures do not appear to be due to upstream breakages:
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| Job | Step | Action |
|---|---|---|
| Build | 🔁 rerun | |
| Build | 🔁 rerun | |
| Build | 🔁 rerun |
1 job timed out:
pytorch_linux_xenial_cuda11_1_cudnn8_py3_gcc7_test
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peterjc123
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The test failure looks legit and doesn't seem to be Windows-only.
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The windows tests errors don't appear in commits on master, though. |
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walterddr
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@janeyx99 magma for cuda11.2 size is smaller, Is it right? |
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Yes, I believe CUDA 11.2 is smaller than CUDA 11.1. |
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After rebasing and rerunning, I don't think the |
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I reproduced the failure of |
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I opened an issue at #51980 for the failing test to track it separately. |
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zasdfgbnm
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| for mode, trainable in itertools.product(modes, trainable_scale): | ||
| test_per_sample_weights(mode, trainable) | ||
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| @unittest.skipIf(IS_WINDOWS, "FIXME: CUDA error: too many resources requested on 11.2") |
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Could we also have a issue for this one, and reference the issue number here?
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#52002 yes I made one here (linked in description)
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Summary: The previous code allowed these tests to run every four hours on certain ci-all branches...which is really bad and resource intensive. This code removes that, but then disallows the 11.2 and 9.2 tests to be run on ci-all branches. To debug CUDA 11.2 or 9.2 tests, one must now manually change the config to allow for them. (Look at #51888 and #51598 for examples of how to do that.) Pull Request resolved: #53069 Reviewed By: H-Huang Differential Revision: D26739738 Pulled By: janeyx99 fbshipit-source-id: 7577b9b2e876bac0e4e868ce2a1f3ffdb6aca597
aocsa
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Mar 15, 2021
…3069) Summary: The previous code allowed these tests to run every four hours on certain ci-all branches...which is really bad and resource intensive. This code removes that, but then disallows the 11.2 and 9.2 tests to be run on ci-all branches. To debug CUDA 11.2 or 9.2 tests, one must now manually change the config to allow for them. (Look at pytorch#51888 and pytorch#51598 for examples of how to do that.) Pull Request resolved: pytorch#53069 Reviewed By: H-Huang Differential Revision: D26739738 Pulled By: janeyx99 fbshipit-source-id: 7577b9b2e876bac0e4e868ce2a1f3ffdb6aca597
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@zasdfgbnm Did you come across them? Is it specific in cuda11.2 |
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@mszhanyi No, it's caused by the VS upgrade, namely this commit microsoft/STL#1336 in STL. They forget to make the fallback to C_STD function for functions like |
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Summary: Adding CUDA 11.2 to Windows CI. Disabled tests: The following ran into `CUDA error: misaligned address` for CUDA 11.2: (issue linked below) `test_where_scalar_valid_combination_cuda_complex128` in test_torch.py `test_sgn_complex_cuda` in test_autograd.py The following ran into `CUDA error: too many resources requested for launch` for CUDA 11.2: (pytorch#52002) test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_float64 test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_float64 Pull Request resolved: pytorch#51598 Reviewed By: mrshenli Differential Revision: D26344965 Pulled By: janeyx99 fbshipit-source-id: 3c9a4ed16d748969e96593220ec0a9f33e1ffcef
xsacha
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…3069) Summary: The previous code allowed these tests to run every four hours on certain ci-all branches...which is really bad and resource intensive. This code removes that, but then disallows the 11.2 and 9.2 tests to be run on ci-all branches. To debug CUDA 11.2 or 9.2 tests, one must now manually change the config to allow for them. (Look at pytorch#51888 and pytorch#51598 for examples of how to do that.) Pull Request resolved: pytorch#53069 Reviewed By: H-Huang Differential Revision: D26739738 Pulled By: janeyx99 fbshipit-source-id: 7577b9b2e876bac0e4e868ce2a1f3ffdb6aca597
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Summary: Adding CUDA 11.2 to Windows CI. Disabled tests: The following ran into `CUDA error: misaligned address` for CUDA 11.2: (issue linked below) `test_where_scalar_valid_combination_cuda_complex128` in test_torch.py `test_sgn_complex_cuda` in test_autograd.py The following ran into `CUDA error: too many resources requested for launch` for CUDA 11.2: (pytorch#52002) test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_float64 test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_float64 Pull Request resolved: pytorch#51598 Reviewed By: mrshenli Differential Revision: D26344965 Pulled By: janeyx99 fbshipit-source-id: 3c9a4ed16d748969e96593220ec0a9f33e1ffcef
laurentdupin
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…3069) Summary: The previous code allowed these tests to run every four hours on certain ci-all branches...which is really bad and resource intensive. This code removes that, but then disallows the 11.2 and 9.2 tests to be run on ci-all branches. To debug CUDA 11.2 or 9.2 tests, one must now manually change the config to allow for them. (Look at pytorch#51888 and pytorch#51598 for examples of how to do that.) Pull Request resolved: pytorch#53069 Reviewed By: H-Huang Differential Revision: D26739738 Pulled By: janeyx99 fbshipit-source-id: 7577b9b2e876bac0e4e868ce2a1f3ffdb6aca597
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Adding CUDA 11.2 to Windows CI.
Disabled tests:
The following ran into
CUDA error: misaligned addressfor CUDA 11.2: (issue linked below)test_where_scalar_valid_combination_cuda_complex128in test_torch.pytest_sgn_complex_cudain test_autograd.pyThe following ran into
CUDA error: too many resources requested for launchfor CUDA 11.2: (#52002)test_EmbeddingBag_per_sample_weights_and_new_offsets_cuda_int64_float64
test_EmbeddingBag_per_sample_weights_and_offsets_cuda_int64_float64
The following ran into test assertion failures in test_optim.py (#51992)
test_adadelta
test_adam
test_adamw
test_multi_tensor_optimizers
test_rmsprop