Use fallback on numpy for TestChoose

Author: vlad-perevezentsev

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

@@ -206,34 +206,39 @@ def test_choose(self, xp, dtype):
         c = testing.shaped_arange((3, 4), xp, dtype)
         return a.choose(c)
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_all_dtypes()
     @testing.numpy_cupy_array_equal()
     def test_choose_broadcast(self, xp, dtype):
         a = xp.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
         c = xp.array([-10, 10]).astype(dtype)
         return a.choose(c)
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_all_dtypes()
     @testing.numpy_cupy_array_equal()
     def test_choose_broadcast2(self, xp, dtype):
         a = xp.array([0, 1])
         c = testing.shaped_arange((3, 5, 2), xp, dtype)
         return a.choose(c)
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_all_dtypes()
     @testing.numpy_cupy_array_equal()
     def test_choose_wrap(self, xp, dtype):
         a = xp.array([0, 3, -1, 5])
         c = testing.shaped_arange((3, 4), xp, dtype)
         return a.choose(c, mode="wrap")
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_all_dtypes()
     @testing.numpy_cupy_array_equal()
     def test_choose_clip(self, xp, dtype):
         a = xp.array([0, 3, -1, 5])
         c = testing.shaped_arange((3, 4), xp, dtype)
         return a.choose(c, mode="clip")
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.with_requires("numpy>=1.19")
     def test_unknown_clip(self):
         for xp in (numpy, cupy):
@@ -242,12 +247,14 @@ def test_unknown_clip(self):
             with pytest.raises(ValueError):
                 a.choose(c, mode="unknown")
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     def test_raise(self):
         a = cupy.array([2])
         c = cupy.array([[0, 1]])
         with self.assertRaises(ValueError):
             a.choose(c)
 
+    @pytest.mark.usefixtures("allow_fall_back_on_numpy")
     @testing.for_all_dtypes()
     def test_choose_broadcast_fail(self, dtype):
         for xp in (numpy, cupy):