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Rewrite advanced benchmark framework guide#6627

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Open

Rewrite advanced benchmark framework guide#6627
AntoineRichard wants to merge 51 commits into
isaac-sim:developfrom
AntoineRichard:antoiner/benchmark-framework-guide

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@AntoineRichard

@AntoineRichard AntoineRichard commented Jul 20, 2026

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Description

Rewrites the advanced benchmark guide around the supported Python API.

The guide:

  • leads with typed runtime, startup, training, and play requests;
  • documents verified request configuration and typed result access;
  • explains formatter output, recorder behavior, process lifetime, and synchronized-timing caveats;
  • replaces stale framework examples with an executable custom benchmark;
  • hands isolated asset and sensor questions to the micro-benchmark guide.

Dependencies

The focused documentation comparison is:
AntoineRichard/IsaacLab@antoiner/benchmark-user-guide...antoiner/benchmark-framework-guide

Type of change

  • Documentation update

Validation

  • PYTHONPATH=source/isaaclab ./isaaclab.sh -p -m pytest source/isaaclab/test/benchmark/test_api.py -q (18 passed).
  • Small Newton MJWarp public-API probes for runtime, startup, RSL-RL training, and trained-policy play.
  • Extracted and executed the custom benchmark example.
  • ./isaaclab.sh -d (warning-free).
  • ./isaaclab.sh -f

Checklist

  • I have read and understood the contribution guidelines
  • I have run the pre-commit checks
  • I have made corresponding documentation changes
  • My changes generate no new warnings
  • Existing benchmark tests cover the documented API
  • A changelog fragment is not required for this documentation-only PR
  • My name already exists in CONTRIBUTORS.md

AntoineRichard and others added 30 commits July 13, 2026 09:48
Exclude configurable warmup frames from runtime metrics and compute throughput from total measured work over total wall time. Use longer defaults so the quick benchmark is less sensitive to startup and short sampling windows.
Add an opt-in runtime benchmark probe around the environment's SimulationContext step calls. Report host time inside and outside that boundary while preserving the original method after measurement.
Measure environment and synchronized simulation stepping across runtime, training, and play benchmarks. Store the resulting Isaac Lab overhead in benchmark schema 1.1 while leaving regular training and play entry points uninstrumented.
Require an explicit benchmark flag before wrapping environment and simulation steps. Disabled benchmarks now avoid method replacement and device synchronization while schema 1.1 continues to represent measured runs.
Delegate synchronization and elapsed-time measurement to the existing Isaac Lab Timer. Keep the interception layer focused on recording per-step samples so environment, simulation, and derived overhead metrics include standard deviation and peak values.
Record the env.step boundary in every benchmark workflow without adding explicit synchronization. Keep the nested synchronized simulation probe optional, and expose environment-step FPS in schema 1.2 so runtime, play, and training results can be compared on the same scope.
Name the opt-in instrumentation after the Isaac Lab overhead it reports instead of the implementation detail used to derive it.
Synchronize before environment and simulation timing begins so policy and action-generation work queued earlier is not attributed to Isaac Lab overhead.
Recalculate throughput standard deviation around the aggregate effective mean so benchmark MeanStd values use one consistent center.
Validate workload counts before launch and require positive environment timing samples so empty synchronized runs fail with actionable errors instead of division by zero.
Run the training and play smoke matrix without synchronized overhead measurement, retain one focused synchronized replay, and verify pending work before env.step is excluded from its metric.
Keep the first runtime step outside throughput regardless of overhead instrumentation and floor derived overhead at zero when nested wall timers cross due to measurement noise.
Rename the disputed overhead metric as a serialized synchronized step breakdown and expose explicit measurement modes. Mark every instrumented timing and rate as diagnostic, validate the additive partition, and document why outside-simulation time is not removable overhead.
Follow-up polish from review of the runtime/synchronized-timing changes;
no behavior change.

- Drop the redundant ``dest=``/``default=False`` on runtime.py's
  ``--measure_synchronized_step_breakdown`` (argparse derives both) so the
  flag matches the eight RL adapter scripts.
- Remove the single-use ``timer_context`` alias and enter the step-timing
  recorder alongside ``BenchmarkMonitor`` on one line, matching the
  adapters' context-manager pattern.
- Reorder the ``build_runtime`` Args block to signature order
  (``aggregate_throughput`` before ``frames_per_environment_step``).
- Clarify ``MeanStd.mean``/``std``: for effective-throughput fields these
  are the aggregate rate and the dispersion about the effective mean, not
  the arithmetic sample mean and standard deviation.
Bring PR isaac-sim#6553 on top of the benchmark timing work from PR isaac-sim#6474 so the benchmark library can dispatch the new RL entrypoints directly.
Move the supported benchmark workflows into isaaclab.benchmark and expose typed in-process dispatch for runtime, startup, training, and play benchmarks. Keep deprecated script and test namespace shims so existing callers can migrate without an immediate break.
Use one device-wide synchronization per timing boundary and keep mock backend state preallocated between samples. Initialize ordering and dynamics buffers so PhysX and Newton accessors are measured without hidden skips or allocation work.
Replace per-file Python shims with lazy module proxies so legacy imports remain compatible while Git can recognize the benchmark implementation moves. Retain type forwarding stubs and document removal in Isaac Lab 3.1.
Add a warmup_steps parameter to EnvironmentStepTimingRecorder that drops
the first N ``env.step()`` calls (CUDA graph capture, lazy kernel
compilation) from the recorded environment-step timing. In serialized
mode the skipped steps' simulation call-count and time are rolled back so
the recorded aggregate stays consistent.

Expose it as an opt-in ``--warmup_steps`` flag (default 0, validated
non-negative, recorded in metadata) on the eight RL train/play benchmark
adapters. ``runtime.py`` is unchanged: its ``--warmup_frames`` already
excludes the startup step before the recorder is installed.

Add recorder unit tests for the host-return and serialized exclusion
paths and a parse-level test rejecting a negative ``--warmup_steps``.
Preserve the destination Warp dtype when copying mock binding data so structured pose and spatial-vector buffers can be exercised by asset data benchmarks.
Cover articulation, rigid object, and rigid object collection method and data access performance using kitless mock bindings comparable to the Newton benchmark matrix.
Apply the repository Ruff format to the newly tracked benchmark scripts and keep fill-ratio selection conditions within the line-length limit.
Measure synchronized updates, submission latency, and backend reads for contact, frame-transformer, IMU, PVA, joint-wrench, and ray-caster sensors without charging physics stepping to sensor timing.
Explain why isolated asset and sensor benchmarks exist, how to run each backend workload, and how to interpret and compare their outputs.
# Conflicts:
#	scripts/benchmarks/rl_games/benchmark_rl_games_play.py
#	scripts/benchmarks/rl_games/benchmark_rl_games_train.py
#	scripts/benchmarks/rsl_rl/benchmark_rsl_rl_play.py
#	scripts/benchmarks/rsl_rl/benchmark_rsl_rl_train.py
#	scripts/benchmarks/runtime.py
#	scripts/benchmarks/sb3/benchmark_sb3_play.py
#	scripts/benchmarks/sb3/benchmark_sb3_train.py
#	scripts/benchmarks/skrl/benchmark_skrl_play.py
#	scripts/benchmarks/skrl/benchmark_skrl_train.py
# Conflicts:
#	docs/source/testing/micro_benchmarks.rst
#	scripts/benchmarks/benchmark_load_robot.py
Make runtime and startup help bypass the required task check so the unified benchmark CLI can render its full options. Cover the forwarded-argv path that exposed the parser ordering bug.
# Description

PR isaac-sim#6505 removed the Kit extension startup that previously re-imported
`isaaclab_physx` after Kit loaded. When task configuration imports the
PhysX package before Kit, the compatibility hook returns early and is
never retried. The original Isaac Sim `SimulationManager` STOP callback
then invalidates the tensor view shared with `PhysxManager`, causing
Franka and other PhysX articulation environments to fail during their
first reset.

This PR retries the existing idempotent compatibility takeover from
`PhysxManager.initialize()`, where Kit is available and PhysX is the
selected backend. It also updates the import-order contract and adds an
integration regression test that imports `PhysxCfg` before launching
Kit.

This fix is independent of isaac-sim#6337.

## Type of change

- Bug fix (non-breaking change which fixes an issue)
- Documentation update

## Screenshots

N/A

## Validation

- Regression RED on unmodified develop: module alias remained the
original Isaac Sim `SimulationManager` after `SimulationContext`
initialization.
- Regression GREEN: `1 passed`.
- `Isaac-Reach-Franka`, 16 environments, PhysX: environment creation,
reset, and first step completed with exit code 0 and without
invalidated-view errors.
- `./isaaclab.sh -p tools/changelog/cli.py check develop`
- `./isaaclab.sh -f`

## Checklist

- [x] I have read and understood the contribution guidelines
- [x] I have run the pre-commit checks with `./isaaclab.sh -f`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove the fix is effective
- [x] I have added a changelog fragment for every touched package
- [x] My name already exists in `CONTRIBUTORS.md`
…-user-guide

# Conflicts:
#	docs/source/api/lab_rl/isaaclab_rl.rst
#	scripts/benchmarks/play.py
#	scripts/benchmarks/rl_games/benchmark_rl_games_play.py
#	scripts/benchmarks/rl_games/benchmark_rl_games_train.py
#	scripts/benchmarks/rsl_rl/benchmark_rsl_rl_play.py
#	scripts/benchmarks/rsl_rl/benchmark_rsl_rl_train.py
#	scripts/benchmarks/sb3/benchmark_sb3_play.py
#	scripts/benchmarks/sb3/benchmark_sb3_train.py
#	scripts/benchmarks/skrl/benchmark_skrl_play.py
#	scripts/benchmarks/skrl/benchmark_skrl_train.py
#	scripts/benchmarks/training.py
#	scripts/reinforcement_learning/ray/tuner.py
#	source/isaaclab_rl/isaaclab_rl/entrypoints/api.py
#	source/isaaclab_rl/isaaclab_rl/entrypoints/dispatch.py
#	source/isaaclab_rl/test/test_entrypoints.py
Keep typed training and play requests equivalent to the CLI added by PR isaac-sim#6474. Translate warm-up steps through dispatch so callers do not need backend-specific arguments.
Bring the latest PR isaac-sim#6564 typed training and play request contract into the benchmark documentation stack.
Define the stable three-page benchmark journey, validated Python API examples, cross-PR audit scope, and the boundary for a later micro-benchmark documentation pass.
Break the approved design into validated workflow probes, supported API documentation, framework extension guidance, navigation integration, and final PR verification.
Scope sys.argv to the typed request while benchmark workflows run so nested AppLauncher parsing sees the same arguments as the workflow entry point. Restore the caller arguments after dispatch.
Lead with the supported typed Python workflows, document verified request and result contracts, and provide an executable lower-level extension example. Align API reference coverage and testing navigation with the three-part benchmark journey.
@github-actions github-actions Bot added documentation Improvements or additions to documentation isaac-lab Related to Isaac Lab team labels Jul 20, 2026
@AntoineRichard
AntoineRichard marked this pull request as ready for review July 20, 2026 15:21
@AntoineRichard
AntoineRichard requested a review from a team July 20, 2026 15:21
@greptile-apps

greptile-apps Bot commented Jul 20, 2026

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Too many files changed for review. (150 files found, 100 file limit)

Bypass the limit by tagging @greptile-apps to review.

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