[profiler] add profiler parsing support for custom device. (#106142)
We hope PyTorch profiling parsing ability can also be applicable to custom devices. Based on previous work https://github.com/pytorch/pytorch/pull/101554, we have made supplementary updates to PyTorch profiling to extend its parsing capabilities for custom devices. These modifications do not affect the original logic of the code and mainly include the following aspects:
1. Added the relevant logic for use_device in torch.profiler.profiler._KinetoProfile.
2. In torch.autograd.profiler and torch.autograd.profiler_util, custom devices profiling data parsing ability has been added using privateuse1 and use_device attributes.
3. In torch._C._autograd.pyi and torch._C._autograd.pyi, custom devices related attributes have been added. The underlying C++
logic will be added in subsequent pull requests.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/106142
Approved by: https://github.com/aaronenyeshi
