dujinhang 2e8ce910bb [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		2023-06-02 09:19:19 +00:00
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combined_traceback.cpp	[combined tracebacks] missing gil acquire (#99685)	2023-04-21 06:24:36 +00:00
combined_traceback.h	Revert "Revert "[memory profiling] add a facility to gather combined C++/Python/TorchScript stack traces. (#95541)"" (#96878)	2023-03-16 04:12:54 +00:00
init.cpp	[Profiler][1/N] add profiler support for custom device. (#101554)	2023-06-02 09:19:19 +00:00
init.h	[Profiler] Handle ABA for TensorImpl* when assigning IDs (#87133)	2022-11-08 21:48:43 +00:00
pybind.h	[Profiler] Use strong typedef for Tensor ID (#85718)	2022-09-29 02:59:45 +00:00