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See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129757 Approved by: https://github.com/ezyang
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
# Owner(s): ["module: cuda"]
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# run time cuda tests, but with the allocator using expandable segments
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import pathlib
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import sys
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from test_cuda import ( # noqa: F401
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TestBlockStateAbsorption,
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TestCuda,
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TestCudaMallocAsync,
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)
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import torch
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from torch.testing._internal.common_cuda import IS_JETSON, IS_WINDOWS
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from torch.testing._internal.common_utils import run_tests, TEST_WITH_ROCM
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REPO_ROOT = pathlib.Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(REPO_ROOT))
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from tools.stats.import_test_stats import get_disabled_tests
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# Make sure to remove REPO_ROOT after import is done
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sys.path.remove(str(REPO_ROOT))
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if __name__ == "__main__":
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if (
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torch.cuda.is_available()
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and not IS_JETSON
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and not IS_WINDOWS
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and not TEST_WITH_ROCM
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):
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get_disabled_tests(".")
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torch.cuda.memory._set_allocator_settings("expandable_segments:True")
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TestCuda.expandable_segments = lambda _: True
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TestBlockStateAbsorption.expandable_segments = lambda _: True
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run_tests()
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