ProcessGroupWrapper log full rank fingerprint mismatches (#79901)
### Current Error Message:
```
Detected mismatch between collectives on ranks. Rank 0 is running collective:
CollectiveFingerPrint(OpType=ALLREDUCE, …), but Rank 1 is running collective: REDUCE.
```
### Ops Mismatch, New Error Message (shows full fingerprint, includes tensor shape, data types, and device types):
```
Detected mismatch between collectives on ranks. Rank 0 is running collective:
CollectiveFingerPrint(OpType=ALLREDUCE, TensorShape=[20, 10], TensorDtypes=Float,
TensorDeviceTypes=TensorOptions(dtype=float (default), device=cpu,
layout=Strided (default), requires_grad=false (default), pinned_memory=false (default), memory_format=(nullopt))),
but Rank 1 is running collective:
CollectiveFingerPrint(OpType=REDUCE, TensorShape=[20, 10], TensorDtypes=Float,
TensorDeviceTypes=TensorOptions(dtype=float (default), device=cpu,
layout=Strided (default), requires_grad=false (default), pinned_memory=false (default), memory_format=(nullopt))).
```
### Shape Mismatch, New Error Message
```
RuntimeError: Detected mismatch between collectives on ranks. Rank 0 is running collective:
CollectiveFingerPrint(OpType=SCATTER, TensorShape=[1], TensorDtypes=Long,
TensorDeviceTypes=TensorOptions(dtype=float (default), device=cuda, layout=Strided (default), requires_grad=false
(default), pinned_memory=false (default), memory_format=(nullopt))),
but Rank 1 is running collective:
CollectiveFingerPrint(OpType=SCATTER, TensorShape=[2], TensorDtypes=Long,
TensorDeviceTypes=TensorOptions(dtype=float (default), device=cuda, layout=Strided (default), requires_grad=false
(default), pinned_memory=false (default), memory_format=(nullopt))).
```
Changes:
- Update deserialize function to read shape of tensors
Pull Request resolved: https://github.com/pytorch/pytorch/pull/79901
Approved by: https://github.com/rohan-varma
