Make ol_compatible_view accessible on all targets

This is to fix Issue #8529, where test_reinterpret_array_type fails
on CUDA with NumPy 1.23 because this overload is needed. Making it
accessible to the CUDA target should resolve the issue.

numba/np/arrayobj.py

@@ -2495,7 +2495,7 @@ def _compatible_view(a, dtype):
     pass
 
 
-@overload(_compatible_view)
+@overload(_compatible_view, target='generic')
 def ol_compatible_view(a, dtype):
     """Determines if the array and dtype are compatible for forming a view."""
     # NOTE: NumPy 1.23+ uses this check.