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test: add test ids for gpu array tests to allow easier debugging #1383

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Merged
cpcloud merged 1 commit into from
Dec 16, 2025
Merged

test: add test ids for gpu array tests to allow easier debugging #1383

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12 changes: 6 additions & 6 deletions cuda_core/tests/test_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,16 +110,16 @@ def gpu_array_samples():
samples = []
if cp is not None:
samples += [
(cp.empty(3, dtype=cp.complex64), False),
(cp.empty((6, 6), dtype=cp.float64)[::2, ::2], True),
(cp.empty((3, 4), order="F"), True),
pytest.param(cp.empty(3, dtype=cp.complex64), False, id="cupy-complex64"),
pytest.param(cp.empty((6, 6), dtype=cp.float64)[::2, ::2], True, id="cupy-float64"),
pytest.param(cp.empty((3, 4), order="F"), True, id="cupy-fortran"),
]
# Numba's device_array is the only known array container that does not
# support DLPack (so that we get to test the CAI coverage).
if numba_cuda is not None:
samples += [
(numba_cuda.device_array((2,), dtype=np.int8), False),
(numba_cuda.device_array((4, 2), dtype=np.float32), True),
pytest.param(numba_cuda.device_array((2,), dtype=np.int8), False, id="numba-cuda-int8"),
pytest.param(numba_cuda.device_array((4, 2), dtype=np.float32), True, id="numba-cuda-float32"),
]
return samples

Expand All @@ -132,7 +132,7 @@ def gpu_array_ptr(arr):
raise NotImplementedError(f"{arr=}")


@pytest.mark.parametrize("in_arr,use_stream", (*gpu_array_samples(),))
@pytest.mark.parametrize(("in_arr", "use_stream"), gpu_array_samples())
class TestViewGPU:
def test_args_viewable_as_strided_memory_gpu(self, in_arr, use_stream):
# TODO: use the device fixture?
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