Skip "test_resize" as a workaround for blossom killed (#7484)

workaround for #7445

### Description
`Resize` also uses `GaussianFilter` inside.

https://github.com/Project-MONAI/MONAI/blob/50f9aea67fb1ea7967020ad613ce83409261f2de/monai/transforms/spatial/functional.py#L332

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

Signed-off-by: YunLiu <55491388+KumoLiu@users.noreply.github.com>

Author: KumoLiu

tests/test_resize.py

@@ -21,7 +21,14 @@
 from monai.data import MetaTensor, set_track_meta
 from monai.transforms import Resize
 from tests.lazy_transforms_utils import test_resampler_lazy
-from tests.utils import TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, is_tf32_env, pytorch_after
+from tests.utils import (
+    TEST_NDARRAYS_ALL,
+    NumpyImageTestCase2D,
+    SkipIfAtLeastPyTorchVersion,
+    assert_allclose,
+    is_tf32_env,
+    pytorch_after,
+)
 
 TEST_CASE_0 = [{"spatial_size": 15}, (6, 10, 15)]
 
@@ -39,7 +46,6 @@
 
 
 class TestResize(NumpyImageTestCase2D):
-
     def test_invalid_inputs(self):
         with self.assertRaises(ValueError):
             resize = Resize(spatial_size=(128, 128, 3), mode="order")
@@ -112,6 +118,7 @@ def test_correct_results(self, spatial_size, mode, anti_aliasing):
             )
 
     @parameterized.expand([TEST_CASE_0, TEST_CASE_1, TEST_CASE_2, TEST_CASE_2_1, TEST_CASE_3, TEST_CASE_4])
+    @SkipIfAtLeastPyTorchVersion((2, 2, 0))  # https://github.com/Project-MONAI/MONAI/issues/7445
     def test_longest_shape(self, input_param, expected_shape):
         input_data = np.random.randint(0, 2, size=[3, 4, 7, 10])
         input_param["size_mode"] = "longest"

tests/test_resized.py

@@ -21,7 +21,13 @@
 from monai.data import MetaTensor, set_track_meta
 from monai.transforms import Invertd, Resize, Resized
 from tests.lazy_transforms_utils import test_resampler_lazy
-from tests.utils import TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
+from tests.utils import (
+    TEST_NDARRAYS_ALL,
+    NumpyImageTestCase2D,
+    SkipIfAtLeastPyTorchVersion,
+    assert_allclose,
+    test_local_inversion,
+)
 
 TEST_CASE_0 = [{"keys": "img", "spatial_size": 15}, (6, 10, 15)]
 
@@ -58,8 +64,8 @@
 ]
 
 
+@SkipIfAtLeastPyTorchVersion((2, 2, 0))  # https://github.com/Project-MONAI/MONAI/issues/7445
 class TestResized(NumpyImageTestCase2D):
-
     def test_invalid_inputs(self):
         with self.assertRaises(ValueError):
             resize = Resized(keys="img", spatial_size=(128, 128, 3), mode="order")