Mute modf umath on CUDA explicitly in the test

Author: antonwolfy

dpnp/tests/skipped_tests_cuda.tbl

@@ -4,8 +4,6 @@
 tests/test_arithmetic.py::TestArithmetic::test_modf_part1
 tests/test_arithmetic.py::TestArithmetic::test_modf_part2
 tests/test_sycl_queue.py::test_modf[cuda:gpu:0]
-tests/test_umath.py::test_umaths[('modf', 'f')]
-tests/test_umath.py::test_umaths[('modf', 'd')]
 tests/third_party/cupy/math_tests/test_arithmetic.py::TestArithmeticModf::test_modf
 
 # random

dpnp/tests/test_umath.py

@@ -19,6 +19,7 @@
     get_float_dtypes,
     has_support_aspect16,
     has_support_aspect64,
+    is_cuda_device,
     is_gpu_device,
 )
 
@@ -107,8 +108,11 @@ def test_umaths(test_cases):
         pytest.skip("dpctl-1652")
     elif umath in ["divmod", "frexp"]:
         pytest.skip("Not implemented umath")
-    elif umath == "modf" and args[0].dtype == dpnp.float16:
-        pytest.skip("dpnp.modf is not supported with dpnp.float16")
+    elif umath == "modf":
+        if args[0].dtype == dpnp.float16:
+            pytest.skip("dpnp.modf is not supported with dpnp.float16")
+        elif is_cuda_device():
+            pytest.skip("dpnp.modf is not supported on CUDA device")
 
     expected = getattr(numpy, umath)(*args)
     result = getattr(dpnp, umath)(*iargs)