Shivam Raikundalia ac7acfb894 [Profiler] Create Auto-Trace Frontend for Trace ID (#139310) ... Summary: This PR adds Auto-Trace implementation for Trace ID. By default, the python side will generate a uuid in the same format as the one set in the backend by kineto. Upon running an auto-trace, the python generated trace id will overwrite the one set in kineto using the Config variable. Since we don't expect users to generate on-demand traces after an auto-trace we can simply keep overwriting the backend trace id whenever autotrace is ran. If we one day want to eventually do something like this, we simply have to add a call in kineto on the backend to generate a new ID upon start of profiling. We also implement a custom callback in the frontend such that users can generate their own trace ids if they wish to. This works similarly as the default, only difference being that they have to manually set this callback after a profiler is generated. We use a specific call to set this rather then putting it in the frontend initializer in case users want to change the trace_id for different repeats. Test Plan: Tested both default and custom callbacks using the verbose prints added. Trace ids on the frontend and the prints on the backend for the manifold upload matched. Differential Revision: D65178308 Pull Request resolved: https://github.com/pytorch/pytorch/pull/139310 Approved by: https://github.com/shengfukevin		2024-10-31 19:02:57 +00:00
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_functions
__init__.py
anomaly_mode.py
forward_ad.py
function.py
functional.py
grad_mode.py
gradcheck.py
graph.py
profiler.py
profiler_legacy.py
profiler_util.py
variable.py