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5 changes: 5 additions & 0 deletions dpnp/tests/test_product.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,9 @@
assert_dtype_allclose,
generate_random_numpy_array,
get_all_dtypes,
is_gpu_device,
is_ptl,
is_win_platform,
numpy_version,
)
from .third_party.cupy import testing
Expand Down Expand Up @@ -2167,6 +2169,9 @@ class TestVecmat:
def setup_method(self):
numpy.random.seed(42)

@pytest.mark.skipif(
is_win_platform() and not is_gpu_device(), reason="SAT-8073"
)
@pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
@pytest.mark.parametrize(
"shape1, shape2",
Expand Down
4 changes: 4 additions & 0 deletions dpnp/tests/test_umath.py
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
has_support_aspect64,
is_cuda_device,
is_gpu_device,
is_win_platform,
)

# full list of umaths
Expand Down Expand Up @@ -121,6 +122,9 @@ def test_umaths(test_cases):
pytest.skip("dpnp.modf is not supported with dpnp.float16")
elif is_cuda_device():
pytest.skip("dpnp.modf is not supported on CUDA device")
elif umath == "vecmat":
if is_win_platform() and not is_gpu_device():
pytest.skip("SAT-8073")

expected = getattr(numpy, umath)(*args)
result = getattr(dpnp, umath)(*iargs)
Expand Down
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