Revert gh-2579

Author: vlad-perevezentsev

dpnp/tests/test_linalg.py

@@ -23,8 +23,6 @@
     get_float_complex_dtypes,
     get_integer_float_dtypes,
     has_support_aspect64,
-    is_arl_or_mtl,
-    is_win_platform,
     numpy_version,
 )
 from .third_party.cupy import testing
@@ -110,8 +108,6 @@ def test_usm_ndarray_linalg_batch(func, gen_kwargs, func_kwargs):
             )
             for _ in range(2)
         ]
-    elif func == "cholesky" and is_win_platform() and is_arl_or_mtl():
-        pytest.skip("SAT-8206")
     else:
         dpt_args = [
             dpt.asarray(generate_random_numpy_array(shape, **gen_kwargs))
@@ -161,8 +157,6 @@ class TestCholesky:
     def test_cholesky(self, array, dtype):
         a = numpy.array(array, dtype=dtype)
         ia = dpnp.array(a)
-        if ia.ndim > 2 and is_win_platform() and is_arl_or_mtl():
-            pytest.skip("SAT-8206")
         result = dpnp.linalg.cholesky(ia)
         expected = numpy.linalg.cholesky(a)
         assert_dtype_allclose(result, expected)
@@ -182,8 +176,6 @@ def test_cholesky(self, array, dtype):
     @pytest.mark.parametrize("dtype", get_all_dtypes(no_bool=True))
     def test_cholesky_upper(self, array, dtype):
         ia = dpnp.array(array, dtype=dtype)
-        if ia.ndim > 2 and is_win_platform() and is_arl_or_mtl():
-            pytest.skip("SAT-8206")
         result = dpnp.linalg.cholesky(ia, upper=True)
 
         if ia.ndim > 2:
@@ -226,8 +218,6 @@ def test_cholesky_upper(self, array, dtype):
     def test_cholesky_upper_numpy(self, array, dtype):
         a = numpy.array(array, dtype=dtype)
         ia = dpnp.array(a)
-        if ia.ndim > 2 and is_win_platform() and is_arl_or_mtl():
-            pytest.skip("SAT-8206")
         result = dpnp.linalg.cholesky(ia, upper=True)
         expected = numpy.linalg.cholesky(a, upper=True)
         assert_dtype_allclose(result, expected)

dpnp/tests/test_sycl_queue.py

@@ -15,8 +15,6 @@
 from .helper import (
     generate_random_numpy_array,
     get_all_dtypes,
-    is_arl_or_mtl,
-    is_win_platform,
 )
 
 list_of_backend_str = ["cuda", "host", "level_zero", "opencl"]
@@ -1506,8 +1504,6 @@ def test_cholesky(self, data, is_empty, device):
         else:
             dtype = dpnp.default_float_type(device)
             x = dpnp.array(data, dtype=dtype, device=device)
-            if x.ndim > 2 and is_win_platform() and is_arl_or_mtl():
-                pytest.skip("SAT-8206")
 
         result = dpnp.linalg.cholesky(x)
         assert_sycl_queue_equal(result.sycl_queue, x.sycl_queue)

dpnp/tests/test_usm_type.py

@@ -10,7 +10,7 @@
 import dpnp
 from dpnp.dpnp_utils import get_usm_allocations
 
-from .helper import generate_random_numpy_array, is_arl_or_mtl, is_win_platform
+from .helper import generate_random_numpy_array
 
 list_of_usm_types = ["device", "shared", "host"]
 
@@ -1358,8 +1358,6 @@ def test_cholesky(self, data, is_empty, usm_type):
             x = dpnp.empty(data, dtype=dtype, usm_type=usm_type)
         else:
             x = dpnp.array(data, dtype=dtype, usm_type=usm_type)
-            if x.ndim > 2 and is_win_platform() and is_arl_or_mtl():
-                pytest.skip("SAT-8206")
 
         result = dpnp.linalg.cholesky(x)
         assert x.usm_type == result.usm_type

dpnp/tests/third_party/cupy/linalg_tests/test_decomposition.py

@@ -6,9 +6,7 @@
 import dpnp as cupy
 from dpnp.tests.helper import (
     has_support_aspect64,
-    is_arl_or_mtl,
     is_cpu_device,
-    is_win_platform,
 )
 from dpnp.tests.third_party.cupy import testing
 from dpnp.tests.third_party.cupy.testing import _condition
@@ -84,9 +82,6 @@ def test_decomposition(self, dtype):
         # np.linalg.cholesky only uses a lower triangle of an array
         self.check_L(numpy.array([[1, 2], [1, 9]], dtype))
 
-    @pytest.mark.skipif(
-        is_win_platform() and is_arl_or_mtl(), reason="SAT-8206"
-    )
     @testing.for_dtypes(
         [
             numpy.int32,