pytorch

2e8ce910 - [Profiler][1/N] add profiler support for custom device. (#101554)

[Profiler][1/N] add profiler support for custom device. (#101554) 1. `torch.autograd.profiler` interface parameters changed. (use `self.use_device` instead of `self.use_cuda` facilitates access by other devices and integrate it in subsequent pr) 2. Modify `ProfilerEventStub`(aka `std::shared_ptr<CUevent_st>`) to `ProfilerVoidEventStub`(aka `std::shared_ptr<void>`) so that `ProfilerStubs` can be inherited by any `{device}Methods`. In addition, `cuda_event_start_` is renamed to `device_event_start_` , cuda and other devices can use this event pointer if needed. 4. custom device support using legacy profiling(add `ProfilerState::KINETO_PRIVATEUSE1_FALLBACK` option) 5. add `privateuse1Stubs` register (parse results and test cases are added in subsequent pr) Pull Request resolved: https://github.com/pytorch/pytorch/pull/101554 Approved by: https://github.com/aaronenyeshi