[GPU] Fix out_md of onednn reduction primitive when input/output dimensions are different (#33637)
### Description of the issue(symptom, root-cause, how it was resolved)
- The onednn reduction primitive requires the source and destination
tensors to have the same number of dimensions. But model in ticket has
reducesum with input 5d and output 4d. Current onednn reduce pd creation
doesn't consider it.
- Create output_md with same dimension of input shape.
#### The code and line that caused this issue (if it is not changed
directly)
-
https://github.com/openvinotoolkit/openvino/blob/251976936f0607a6e655e9c33508781a45509eba/src/plugins/intel_gpu/src/graph/impls/onednn/reduce_onednn.cpp#L61
#### Reproduction step and snapshot (if applicable. Do not attach for
customer model)
- $ benchmark_app -d GPU.1 -m
~/task/cvs179227/WavLM-Base+_88080_new_sim.xml -hint latency
#### Problematic graph
- ReduceSum has 5d input and 4d output
<img width="484" height="526" alt="image"
src="https://github.com/user-attachments/assets/333f2f1b-6a09-4699-a7fb-b26eed3de0a7"
/>
#### Checklist
- [x] Is it a proper fix? (not a workaround)
- [x] Did you include test case for this fix, if necessary?
- [x] Did you review existing test that can be extended to cover this
scenario? Which test did you review?
### Tickets:
- 179227