chore: extends engine perf instrumentation#562
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Improves visibility into async control and distributed weight ops to tighten performance tracing coverage. Standardizes trace_scope usage so training spans emit consistent profiler data across engines.
rchardx
requested review from
Copilot,
dhh1995,
fishcrap,
garrett4wade and
nuzant
Summary of ChangesHello @rchardx, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the performance instrumentation within the engine components. The primary goal is to improve visibility into asynchronous control flows and distributed weight operations, which are crucial for optimizing large-scale model training and inference. By standardizing tracing mechanisms, the changes ensure more consistent and comprehensive profiling data, aiding in performance bottleneck identification and resolution. Highlights
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Pull Request Overview
This PR extends performance instrumentation across multiple engine implementations to improve profiling visibility. The changes add trace_perf decorators and trace_scope context managers to communication and weight update operations, standardizing trace usage across the codebase.
- Added
@trace_perfdecorators to bucket weight update methods in megatron and fsdp engines - Wrapped tensor gathering operations with
trace_scopecontext managers for granular profiling - Added tracing to async control operations (pause/continue generation) in remote inference engine
Reviewed Changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| areal/engine/megatron_engine.py | Added trace decorators to weight bucket update methods and wrapped gather operations with trace_scope |
| areal/engine/fsdp_engine.py | Added trace decorator to bucket update method, wrapped tensor gathering in trace_scope, and replaced direct perf_tracer calls with trace_scope |
| areal/core/remote_inf_engine.py | Added trace decorators to pause/continue generation methods for async control visibility |
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Removes redundant tracing around parameter collection to cut profiling overhead and clarify communication metrics.
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Code Review
This pull request enhances performance tracing by adding instrumentation to asynchronous control and distributed weight operations in various engines. The changes standardize the use of trace_scope and add trace_perf decorators to key functions, improving visibility into performance bottlenecks. The modifications are well-implemented and align with the goal of tightening performance tracing coverage. One minor issue was found where a function was being called without its return value being used, which has been corrected.
* chore: extends engine perf instrumentation Improves visibility into async control and distributed weight ops to tighten performance tracing coverage. Standardizes trace_scope usage so training spans emit consistent profiler data across engines. * Simplifies gather tracing Removes redundant tracing around parameter collection to cut profiling overhead and clarify communication metrics.
Description
Improves visibility into async control and distributed weight ops to tighten performance tracing coverage. Standardizes trace_scope usage so training spans emit consistent profiler data across engines.
Type of Change
work as expected)
Checklist
jb build docs/gemini review)