5712 update padding for torch 1.9 (#5718)

Signed-off-by: Wenqi Li <wenqil@nvidia.com>

Fixes #5712

### Description

```py
>>> import torch
>>> img_t = torch.zeros(1, 1, 24, 24, 24); out = torch.nn.functional.pad(img_t[None], (20, 20, 20, 20, 20, 20), mode='reflect')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 4189, in _pad
    raise NotImplementedError("Only 3D, 4D, 5D padding with non-constant padding are supported for now")
NotImplementedError: Only 3D, 4D, 5D padding with non-constant padding are supported for now
```

### 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`.
- [x] 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>
Co-authored-by: Mingxin Zheng <mingxinz@nvidia.com>

Author: wyli

monai/transforms/croppad/array.py

@@ -183,10 +183,14 @@ def __call__(  # type: ignore
                     )
                     out = _pad(img_t, pad_width=to_pad_, mode=mode_, **kwargs_)
                 except (ValueError, TypeError, RuntimeError) as err:
-                    if "supported" in str(err) or "unexpected keyword" in str(err) or "implemented" in str(err):
+                    if isinstance(err, NotImplementedError) or any(
+                        k in str(err) for k in ("supported", "unexpected keyword", "implemented")
+                    ):
                         out = self._np_pad(img_t, pad_width=to_pad_, mode=mode_, **kwargs_)
                     else:
-                        raise ValueError(f"{mode_}, {kwargs_}, {img_t.dtype}, {img_t.device}") from err
+                        raise ValueError(
+                            f"{img_t.shape} {to_pad_} {mode_} {kwargs_} {img_t.dtype} {img_t.device}"
+                        ) from err
         else:
             out = img_t
         if get_track_meta():