`gpu_persistent_fusion` creates incorrect src edges in `ArrayView` `AccessNodes`

**Describe the bug**
Applying `gpu_persistent_fusion` to some dace programs breaks during codegen if there are `ArrayView`s

**To Reproduce**
Steps to reproduce the behavior:
1. Modify `dace/transformation/subgraph/gpu_persistent_fusion.py` to fix an issue with code -> code scalars ([gpu_persistent_fusion.py.patch.txt](https://github.com/spcl/dace/files/14637072/gpu_persistent_fusion.py.patch.txt))
2. Run attached dace program (modified from `tests/npbench/polybench/correlation.py`, [correlation_test.py.patch.txt](https://github.com/spcl/dace/files/14637076/correlation_test.py.patch.txt))

**Relevant stack trace**
```
...
File "../dace-master/dace/codegen/targets/cpu.py", line 209, in allocate_view
self._dispatcher.dispatch_allocate(sdfg, dfg, state_id, viewed_dnode, viewed_dnode.desc(sdfg), global_stream,
AttributeError: 'NestedSDFG' object has no attribute 'desc'
```

**(What I believe to be the) Relevant part of code**
https://github.com/spcl/dace/blob/e542965a98de63a74eb4a3276ba5c0cd801b5f62/dace/transformation/subgraph/gpu_persistent_fusion.py#L214

**Expected behavior**
`ArrayView` `AccessNode`s should be connected to `AccessNode`s, not the top-level nsdfg that persistent fusion creates.

**Additional context**
Several other tests under `tests/npbench/polybench` for the same reason, but need more changes to the rest of the library for `gpu_persistent_fusion` to apply.

Tested with latest dace master branch

Uploaded patches and sdfg as txt because GitHub won't let me upload anything else.

[failing.sdfgz.txt](https://github.com/spcl/dace/files/14637094/failing.sdfgz.txt)

Start in dace/transformation/subgraph/gpu_persistent_fusion.py around line 214 and reproduce the failure with the attached correlation_test.py patch. Trace the resulting ArrayView AccessNodes into dace/codegen/targets/cpu.py:209, where allocate_view receives a NestedSDFG without desc. Done means the relevant ArrayView edges target AccessNodes and the reproduced program proceeds through code generation.

Written by the indexing model from the issue text.