Refactor gpu trace to be device-agnostic (#121794)
# Motivation
Refactor gpu trace to be device-agnostic. gpu trace is usually used in runtime components, including Device, Stream, Event, Guard, and Allocator. It should be device-agnostic and can be shared among each device backend.
# Solution
move `_cuda_trace.py` to `_gpu_trace.py`, which makes each device backend owns their callback, respectively.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/121794
Approved by: https://github.com/jgong5, https://github.com/albanD, https://github.com/EikanWang, https://github.com/gujinghui
