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# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: LicenseRef-NVIDIA-SOFTWARE-LICENSE
import sys
import pytest
from cuda.bindings import driver, runtime
# Keep in sync with the fallback in cuda_core/tests/conftest.py. The cuda_core
# copy is intentionally simpler because it only handles cuda_core CUDAError
# exceptions when this helper is absent from older published bindings.
def is_windows_mcdm_device(device=0):
if sys.platform != "win32":
return False
import cuda.bindings.nvml as nvml
device_id = int(getattr(device, "device_id", device))
(err,) = driver.cuInit(0)
if err != driver.CUresult.CUDA_SUCCESS:
return False
err, pci_bus_id = driver.cuDeviceGetPCIBusId(13, device_id)
if err != driver.CUresult.CUDA_SUCCESS:
return False
pci_bus_id = pci_bus_id.split(b"\x00", 1)[0].decode("ascii")
nvml.init_v2()
try:
handle = nvml.device_get_handle_by_pci_bus_id_v2(pci_bus_id)
current, _ = nvml.device_get_driver_model_v2(handle)
return current == nvml.DriverModel.DRIVER_MCDM
finally:
nvml.shutdown()
def xfail_if_mempool_oom(err_or_exc, api_name=None, device=0):
if api_name is not None and not isinstance(api_name, str):
device = api_name
api_name = None
is_oom = err_or_exc in (
driver.CUresult.CUDA_ERROR_OUT_OF_MEMORY,
runtime.cudaError_t.cudaErrorMemoryAllocation,
) or "CUDA_ERROR_OUT_OF_MEMORY" in str(err_or_exc)
if not is_oom:
return
try:
is_windows_mcdm = is_windows_mcdm_device(device)
except Exception:
# If MCDM detection fails, leave the primary test failure visible.
return
if not is_windows_mcdm:
return
api_context = f"{api_name} " if api_name else ""
pytest.xfail(f"{api_context}could not reserve VA for mempool operations on Windows MCDM")