Set torch.set_deterministic to false for GPU tests
#3422
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This pull request was exported from Phabricator. Differential Revision: D26563045 |
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Summary: Pull Request resolved: pytorch#3422 In CUDA-10.1 or below it is a no-op, but few of the tests will start to fail if update to 10.2 or newer, for example: ``` torchvision/transforms/transforms.py", line 1043, in forward transformed_tensor = torch.mm(flat_tensor, self.transformation_matrix) RuntimeError: Deterministic behavior was enabled with either `torch.use_deterministic_algorithms(True)` or `at::Context::setDeterministicAlgorithms(true)`, but this operation is not deterministic because it uses CuBLAS and you have CUDA >= 10.2. To enable deterministic behavior in this case, you must set an environment variable before running your PyTorch application: CUBLAS_WORKSPACE_CONFIG=:4096:8 or CUBLAS_WORKSPACE_CONFIG=:16:8. For more information, go to https://docs.nvidia.com/cuda/cublas/index.html#cublasApi_reproducibility ``` Reviewed By: meyering Differential Revision: D26563045 fbshipit-source-id: 255c234d3d179f1b623c6c61ba2b1b9637417494
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This pull request was exported from Phabricator. Differential Revision: D26563045 |
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Codecov Report
@@ Coverage Diff @@
## fbsync #3422 +/- ##
==========================================
+ Coverage 65.65% 74.80% +9.15%
==========================================
Files 74 105 +31
Lines 5786 9714 +3928
Branches 884 1561 +677
==========================================
+ Hits 3799 7267 +3468
- Misses 1723 1960 +237
- Partials 264 487 +223
Continue to review full report at Codecov.
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Summary: Pull Request resolved: #3422 In CUDA-10.1 or below it is a no-op, but few of the tests will start to fail if update to 10.2 or newer, for example: ``` torchvision/transforms/transforms.py", line 1043, in forward transformed_tensor = torch.mm(flat_tensor, self.transformation_matrix) RuntimeError: Deterministic behavior was enabled with either `torch.use_deterministic_algorithms(True)` or `at::Context::setDeterministicAlgorithms(true)`, but this operation is not deterministic because it uses CuBLAS and you have CUDA >= 10.2. To enable deterministic behavior in this case, you must set an environment variable before running your PyTorch application: CUBLAS_WORKSPACE_CONFIG=:4096:8 or CUBLAS_WORKSPACE_CONFIG=:16:8. For more information, go to https://docs.nvidia.com/cuda/cublas/index.html#cublasApi_reproducibility ``` Reviewed By: meyering Differential Revision: D26563045 fbshipit-source-id: 65e5fabc8cdb471a72f931df55389ed7c0063e54
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Merged in 851fd8a |
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Feb 23, 2021
Summary: Pull Request resolved: pytorch#3422 In CUDA-10.1 or below it is a no-op, but few of the tests will start to fail if update to 10.2 or newer, for example: ``` torchvision/transforms/transforms.py", line 1043, in forward transformed_tensor = torch.mm(flat_tensor, self.transformation_matrix) RuntimeError: Deterministic behavior was enabled with either `torch.use_deterministic_algorithms(True)` or `at::Context::setDeterministicAlgorithms(true)`, but this operation is not deterministic because it uses CuBLAS and you have CUDA >= 10.2. To enable deterministic behavior in this case, you must set an environment variable before running your PyTorch application: CUBLAS_WORKSPACE_CONFIG=:4096:8 or CUBLAS_WORKSPACE_CONFIG=:16:8. For more information, go to https://docs.nvidia.com/cuda/cublas/index.html#cublasApi_reproducibility ``` Reviewed By: meyering Differential Revision: D26563045 fbshipit-source-id: 65e5fabc8cdb471a72f931df55389ed7c0063e54
fmassa
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Feb 23, 2021
Summary: Pull Request resolved: #3422 In CUDA-10.1 or below it is a no-op, but few of the tests will start to fail if update to 10.2 or newer, for example: ``` torchvision/transforms/transforms.py", line 1043, in forward transformed_tensor = torch.mm(flat_tensor, self.transformation_matrix) RuntimeError: Deterministic behavior was enabled with either `torch.use_deterministic_algorithms(True)` or `at::Context::setDeterministicAlgorithms(true)`, but this operation is not deterministic because it uses CuBLAS and you have CUDA >= 10.2. To enable deterministic behavior in this case, you must set an environment variable before running your PyTorch application: CUBLAS_WORKSPACE_CONFIG=:4096:8 or CUBLAS_WORKSPACE_CONFIG=:16:8. For more information, go to https://docs.nvidia.com/cuda/cublas/index.html#cublasApi_reproducibility ``` Reviewed By: meyering Differential Revision: D26563045 fbshipit-source-id: 65e5fabc8cdb471a72f931df55389ed7c0063e54 Co-authored-by: Nikita Shulga <[email protected]>
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Summary:
In CUDA-10.1 or below it is a no-op, but few of the tests will start to fail if update to 10.2 or newer, for example:
Reviewed By: meyering
Differential Revision: D26563045