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50f23ff6f8
Fixes #159399 "Modified torch.testing._internal.inductor_utils and test/inductor" Pull Request resolved: https://github.com/pytorch/pytorch/pull/159883 Approved by: https://github.com/janeyx99
46 lines
1.3 KiB
Python
46 lines
1.3 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 os
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import pathlib
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import sys
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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
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from torch.testing._internal.inductor_utils import HAS_CUDA_AND_TRITON
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.append(pytorch_test_dir)
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if HAS_CUDA_AND_TRITON:
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try:
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from .test_cudagraph_trees import CudaGraphTreeTests
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except ImportError:
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from test_cudagraph_trees import ( # noqa: F401 # @manual=fbcode//caffe2/test/inductor:cudagraph_trees-library
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CudaGraphTreeTests,
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)
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REPO_ROOT = pathlib.Path(__file__).resolve().parent.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 # @manual
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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 HAS_CUDA_AND_TRITON
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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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run_tests()
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