NACLLoss memory management (#8020)

Fixes # .

### Description

Calling contiguous after applying the permute option to work with view
operation in apply_filter
(https://github.com/Project-MONAI/MONAI/blob/59a7211070538586369afd4a01eca0a7fe2e742e/monai/networks/layers/simplelayers.py#L293).

### 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: Balamurali <balamuralim.1993@gmail.com>
Signed-off-by: bala93 <balamuralim.1993@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Eric Kerfoot <17726042+ericspod@users.noreply.github.com>
Co-authored-by: YunLiu <55491388+KumoLiu@users.noreply.github.com>

monai/losses/nacl_loss.py

@@ -95,11 +95,11 @@ def get_constr_target(self, mask: torch.Tensor) -> torch.Tensor:
         rmask: torch.Tensor
 
         if self.dim == 2:
-            oh_labels = F.one_hot(mask.to(torch.int64), num_classes=self.nc).contiguous().permute(0, 3, 1, 2).float()
+            oh_labels = F.one_hot(mask.to(torch.int64), num_classes=self.nc).permute(0, 3, 1, 2).contiguous().float()
             rmask = self.svls_layer(oh_labels)
 
         if self.dim == 3:
-            oh_labels = F.one_hot(mask.to(torch.int64), num_classes=self.nc).contiguous().permute(0, 4, 1, 2, 3).float()
+            oh_labels = F.one_hot(mask.to(torch.int64), num_classes=self.nc).permute(0, 4, 1, 2, 3).contiguous().float()
             rmask = self.svls_layer(oh_labels)
 
         return rmask

tests/test_nacl_loss.py

@@ -47,6 +47,7 @@
 
 TEST_CASES = [
     [{"classes": 3, "dim": 2}, {"inputs": inputs, "targets": targets}, 1.1442],
+    [{"classes": 3, "dim": 2}, {"inputs": inputs.repeat(4, 1, 1, 1), "targets": targets.repeat(4, 1, 1)}, 1.1442],
     [{"classes": 3, "dim": 2, "kernel_ops": "gaussian"}, {"inputs": inputs, "targets": targets}, 1.1433],
     [{"classes": 3, "dim": 2, "kernel_ops": "gaussian", "sigma": 0.5}, {"inputs": inputs, "targets": targets}, 1.1469],
     [{"classes": 3, "dim": 2, "distance_type": "l2"}, {"inputs": inputs, "targets": targets}, 1.1269],