diff --git a/dpnp/tests/test_product.py b/dpnp/tests/test_product.py index 5fa74edfe2d..983fd2161d2 100644 --- a/dpnp/tests/test_product.py +++ b/dpnp/tests/test_product.py @@ -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 @@ -1441,6 +1443,9 @@ class TestMatvec: 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", @@ -2167,6 +2172,9 @@ 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", diff --git a/dpnp/tests/test_umath.py b/dpnp/tests/test_umath.py index 56f55de2f1c..0039d74789f 100644 --- a/dpnp/tests/test_umath.py +++ b/dpnp/tests/test_umath.py @@ -23,6 +23,7 @@ has_support_aspect64, is_cuda_device, is_gpu_device, + is_win_platform, ) # full list of umaths @@ -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 in ["vecmat", "matvec"]: + if is_win_platform() and not is_gpu_device(): + pytest.skip("SAT-8073") expected = getattr(numpy, umath)(*args) result = getattr(dpnp, umath)(*iargs)