Update ALGO_HASH to make Auto3DSeg dints support older version of PyT… (#6175)

Fixes 6155 .

Related PR in research contribution:
- Project-MONAI/research-contributions#204

### Description

A few sentences describing the changes proposed in this pull request.

### 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).

Signed-off-by: Mingxin Zheng <18563433+mingxin-zheng@users.noreply.github.com>

Author: mingxin-zheng

monai/apps/auto3dseg/bundle_gen.py

@@ -35,7 +35,7 @@
 from monai.utils import ensure_tuple
 
 logger = get_logger(module_name=__name__)
-ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "d0fa876d")
+ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "d8bec42")
 
 __all__ = ["BundleAlgo", "BundleGen"]
 

tests/test_auto3dseg_ensemble.py

@@ -70,7 +70,7 @@
 
 
 @skip_if_quick
-@SkipIfBeforePyTorchVersion((1, 13, 0))
+@SkipIfBeforePyTorchVersion((1, 9, 1))
 @unittest.skipIf(not has_tb, "no tensorboard summary writer")
 class TestEnsembleBuilder(unittest.TestCase):
     def setUp(self) -> None:

tests/test_integration_autorunner.py

@@ -69,7 +69,7 @@
 
 
 @skip_if_quick
-@SkipIfBeforePyTorchVersion((1, 13, 0))
+@SkipIfBeforePyTorchVersion((1, 9, 1))
 @unittest.skipIf(not has_tb, "no tensorboard summary writer")
 class TestAutoRunner(unittest.TestCase):
     def setUp(self) -> None:

tests/test_integration_gpu_customization.py

@@ -69,7 +69,7 @@
 
 
 @skip_if_quick
-@SkipIfBeforePyTorchVersion((1, 13, 0))
+@SkipIfBeforePyTorchVersion((1, 9, 1))
 @unittest.skipIf(not has_tb, "no tensorboard summary writer")
 class TestEnsembleGpuCustomization(unittest.TestCase):
     def setUp(self) -> None:

tests/test_integration_nnunetv2_runner.py

@@ -25,6 +25,7 @@
 from tests.utils import SkipIfBeforePyTorchVersion, skip_if_downloading_fails, skip_if_no_cuda, skip_if_quick
 
 _, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")
+_, has_nnunet = optional_import("nnunetv2")
 
 sim_datalist: dict[str, list[dict]] = {
     "testing": [{"image": "val_001.fake.nii.gz"}, {"image": "val_002.fake.nii.gz"}],
@@ -46,6 +47,7 @@
 @skip_if_quick
 @SkipIfBeforePyTorchVersion((1, 13, 0))
 @unittest.skipIf(not has_tb, "no tensorboard summary writer")
+@unittest.skipIf(not has_nnunet, "no nnunetv2")
 class TestnnUNetV2Runner(unittest.TestCase):
     def setUp(self) -> None:
         self.test_dir = tempfile.TemporaryDirectory()