Remove previously added fixtures for unsupported funcs on CUDA

Author: vlad-perevezentsev

dpnp/tests/test_random.py

@@ -45,7 +45,6 @@ def check_seed(self, dist_name, params):
         assert_allclose(a1, a2, rtol=1e-07, atol=0)
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize(
     "func",
     [dpnp.random.chisquare, dpnp.random.rand, dpnp.random.randn],
@@ -62,7 +61,6 @@ def test_input_size(func):
     assert output_shape == res.shape
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize(
     "func",
     [
@@ -84,7 +82,6 @@ def test_input_shape(func):
     assert shape == res.shape
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize(
     "func",
     [
@@ -107,7 +104,6 @@ def test_check_output(func):
     assert dpnp.all(res < 1)
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize(
     "func",
     [
@@ -134,7 +130,6 @@ def test_seed(func):
     assert_allclose(a1, a2, rtol=1e-07, atol=0)
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 def test_randn_normal_distribution():
     """
     Check the moments of the normal distribution sample obtained
@@ -672,7 +667,6 @@ def test_seed(self):
 
 
 @pytest.mark.skipif(not has_support_aspect64(), reason="Failed on Iris Xe")
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestDistributionsNormal(TestDistribution):
     def test_extreme_value(self):
         loc = 5
@@ -833,13 +827,11 @@ def test_seed(self):
         self.check_seed("rayleigh", {"scale": scale})
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestDistributionsStandardCauchy(TestDistribution):
     def test_seed(self):
         self.check_seed("standard_cauchy", {})
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestDistributionsStandardExponential(TestDistribution):
     def test_moments(self):
         shape = 0.8
@@ -875,7 +867,6 @@ def test_seed(self):
         self.check_seed("standard_gamma", {"shape": 0.0})
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestDistributionsStandardNormal(TestDistribution):
     def test_moments(self):
         expected_mean = 0.0
@@ -953,7 +944,6 @@ def test_seed(self):
 
 
 @pytest.mark.skipif(not has_support_aspect64(), reason="Failed on Iris Xe")
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestDistributionsUniform(TestDistribution):
     def test_extreme_value(self):
         low = 1.0
@@ -1080,7 +1070,6 @@ def test_seed(self):
         self.check_seed("zipf", {"a": a})
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestPermutationsTestShuffle:
     @pytest.mark.parametrize(
         "dtype",

dpnp/tests/test_sort.py

@@ -399,7 +399,6 @@ def test_complex(self, dtype):
         assert result.dtype == expected.dtype
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize("kth", [0, 1], ids=["0", "1"])
 @pytest.mark.parametrize("dtype", get_all_dtypes(no_none=True))
 @pytest.mark.parametrize(

dpnp/tests/test_sycl_queue.py

@@ -1277,7 +1277,6 @@ def test_out_2in_1out(func, data1, data2, device):
     assert_sycl_queue_equal(result.sycl_queue, x2.sycl_queue)
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize(
     "device",
     valid_devices,

dpnp/tests/third_party/cupy/creation_tests/test_from_data.py

@@ -516,7 +516,6 @@ def test_copy(self, xp, dtype, order):
 
     @testing.for_CF_orders()
     @testing.for_all_dtypes()
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_copy_multigpu(self, dtype, order):
         q1 = dpctl.SyclQueue()
         q2 = dpctl.SyclQueue()

dpnp/tests/third_party/cupy/indexing_tests/test_indexing.py

@@ -198,7 +198,6 @@ def test_extract_empty_1dim(self, xp):
         return xp.extract(b, a)
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestChoose(unittest.TestCase):
     @testing.for_all_dtypes()
     @testing.numpy_cupy_array_equal()

dpnp/tests/third_party/cupy/math_tests/test_arithmetic.py

@@ -685,7 +685,6 @@ def test_casting_dtype_unsafe_ignore_warnings(
 class TestArithmeticModf:
     @testing.for_float_dtypes()
     @testing.numpy_cupy_allclose()
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_modf(self, xp, dtype):
         a = xp.array([-2.5, -1.5, -0.5, 0, 0.5, 1.5, 2.5], dtype=dtype)
         b, c = xp.modf(a)

dpnp/tests/third_party/cupy/math_tests/test_rational.py

@@ -9,7 +9,6 @@
 
 
 class TestRational(unittest.TestCase):
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_dtypes(["?", "e", "f", "d", "F", "D"])
     def test_gcd_dtype_check(self, dtype):
         # TODO: remove it once the issue with CUDA support is resolved
@@ -34,7 +33,6 @@ def test_gcd_check_boundary_cases(self, xp, dtype):
         b = xp.array([0, 5, -10, -5, 20, 51, 6, 42])
         return xp.gcd(a, b)
 
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_dtypes(["?", "e", "f", "d", "F", "D"])
     def test_lcm_dtype_check(self, dtype):
         if is_cuda_device():

dpnp/tests/third_party/cupy/random_tests/test_distributions.py

@@ -599,7 +599,6 @@ def test_rayleigh_for_negative_scale(self, scale_dtype):
     )
 )
 class TestDistributionsStandardCauchy(RandomDistributionsTestCase):
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_standard_cauchy(self):
         self.check_distribution("standard_cauchy", {})
 
@@ -612,7 +611,6 @@ def test_standard_cauchy(self):
     )
 )
 class TestDistributionsStandardExponential(RandomDistributionsTestCase):
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_standard_exponential(self):
         self.check_distribution("standard_exponential", {})
 
@@ -641,7 +639,6 @@ def test_standard_gamma(self, shape_dtype):
     )
 )
 class TestDistributionsStandardNormal(RandomDistributionsTestCase):
-    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_standard_normal(self):
         self.check_distribution("standard_normal", {})
 

dpnp/tests/third_party/cupy/random_tests/test_sample.py

@@ -10,7 +10,6 @@
 from dpnp.tests.third_party.cupy.testing import _condition, _hypothesis
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestRandint(unittest.TestCase):
     def test_lo_hi_reversed(self):
         with self.assertRaises(ValueError):
@@ -107,7 +106,6 @@ def test_goodness_of_fit_2(self):
         self.assertTrue(_hypothesis.chi_square_test(counts, expected))
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 class TestRandintDtype(unittest.TestCase):
     # numpy.int8, numpy.uint8, numpy.int16, numpy.uint16, numpy.int32])
     @testing.for_dtypes([numpy.int32])