# Owner(s): ["module: cuda"]
# run time cuda tests, but with the allocator using expandable segments

import pathlib
import sys

from test_cuda import (  # noqa: F401
    TestBlockStateAbsorption,
    TestCuda,
    TestCudaMallocAsync,
)

import torch
from torch.testing._internal.common_cuda import IS_JETSON, IS_WINDOWS
from torch.testing._internal.common_utils import run_tests, TEST_WITH_ROCM


REPO_ROOT = pathlib.Path(__file__).resolve().parent.parent
sys.path.insert(0, str(REPO_ROOT))

from tools.stats.import_test_stats import get_disabled_tests


# Make sure to remove REPO_ROOT after import is done
sys.path.remove(str(REPO_ROOT))

if __name__ == "__main__":
    if (
        torch.cuda.is_available()
        and not IS_JETSON
        and not IS_WINDOWS
        and not TEST_WITH_ROCM
    ):
        get_disabled_tests(".")

        torch.cuda.memory._set_allocator_settings("expandable_segments:True")
        TestCuda.expandable_segments = lambda _: True
        TestBlockStateAbsorption.expandable_segments = lambda _: True

        run_tests()