Algo template updates, doc fixes (#6581)

### Description
algo template updates
- swin
Project-MONAI/research-contributions@c239979
- dints
Project-MONAI/research-contributions@9db946d

fixes #6553 

### 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: Wenqi Li <wenqil@nvidia.com>

Author: wyli

monai/apps/auto3dseg/bundle_gen.py

@@ -37,7 +37,7 @@
 from monai.utils.enums import AlgoKeys
 
 logger = get_logger(module_name=__name__)
-ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "58af562")
+ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "9db946d")
 
 __all__ = ["BundleAlgo", "BundleGen"]
 

monai/data/dataset.py

@@ -941,7 +941,7 @@ class SmartCacheDataset(Randomizable, CacheDataset):
     Let N be the configured number of objects in cache; and R be the number of replacement objects (R = ceil(N * r),
     where r is the configured replace rate).
     For more details, please refer to:
-    https://docs.nvidia.com/clara/tlt-mi/clara-train-sdk-v3.0/nvmidl/additional_features/smart_cache.html#smart-cache
+    https://docs.nvidia.com/clara/clara-train-archive/3.1/nvmidl/additional_features/smart_cache.html
     If passing slicing indices, will return a PyTorch Subset, for example: `data: Subset = dataset[1:4]`,
     for more details, please check: https://pytorch.org/docs/stable/data.html#torch.utils.data.Subset