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alpasim

Use AlpaSim repository guidance for autonomous-driving simulation setup, Hydra wizard runs, runtime services, ego drivers and plugins, ASL evaluation, controller/physics/traffic components, gRPC contracts, and operational troubleshooting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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설치 방법 보기

포함된 파일(50)

  • SKILL.md5.1 KB
  • references/coordinate-frames.md1.8 KB
  • references/package-and-backend-overview.md3.3 KB
  • references/repo-provenance.md2.9 KB
  • references/repo-routing-metadata.json428 B
  • references/troubleshooting.md3.9 KB
  • scripts/check_env.py3.3 KB
  • sub-skills/control-physics-traffic/references/backend-compatibility.md4.4 KB
  • sub-skills/control-physics-traffic/references/controller-api.md6.2 KB
  • sub-skills/control-physics-traffic/references/physics-and-traffic.md6.4 KB
  • sub-skills/control-physics-traffic/references/troubleshooting.md6.2 KB
  • sub-skills/control-physics-traffic/scripts/check_backend.py2.6 KB
  • sub-skills/control-physics-traffic/SKILL.md8.4 KB
  • sub-skills/drivers-and-plugins/references/driver-api.md5.0 KB
  • sub-skills/drivers-and-plugins/references/manual-and-external.md3.8 KB
  • sub-skills/drivers-and-plugins/references/model-overview.md5.6 KB
  • sub-skills/drivers-and-plugins/references/plugin-contract.md4.2 KB
  • sub-skills/drivers-and-plugins/references/troubleshooting.md6.6 KB
  • sub-skills/drivers-and-plugins/scripts/check_driver_plugins.py3.4 KB
  • sub-skills/drivers-and-plugins/SKILL.md6.8 KB
  • sub-skills/evaluation-and-logs/references/asl-format.md3.8 KB
  • sub-skills/evaluation-and-logs/references/evaluation-workflows.md5.0 KB
  • sub-skills/evaluation-and-logs/references/geometry-and-utilities.md4.0 KB
  • sub-skills/evaluation-and-logs/references/metrics-and-videos.md5.2 KB
  • sub-skills/evaluation-and-logs/references/troubleshooting.md6.3 KB
  • sub-skills/evaluation-and-logs/scripts/asl_to_frames.py8.7 KB
  • sub-skills/evaluation-and-logs/scripts/check_run_metadata.py5.1 KB
  • sub-skills/evaluation-and-logs/scripts/print_asl.py3.5 KB
  • sub-skills/evaluation-and-logs/SKILL.md7.4 KB
  • sub-skills/grpc-and-developer-tools/references/developer-workflows.md4.5 KB
  • sub-skills/grpc-and-developer-tools/references/grpc-api.md4.4 KB
  • sub-skills/grpc-and-developer-tools/references/tools-and-safety.md2.9 KB
  • sub-skills/grpc-and-developer-tools/references/troubleshooting.md4.3 KB
  • sub-skills/grpc-and-developer-tools/scripts/compile_protos.py3.2 KB
  • sub-skills/grpc-and-developer-tools/SKILL.md5.3 KB
  • sub-skills/runtime-services/references/architecture.md4.9 KB
  • sub-skills/runtime-services/references/configuration-and-timing.md6.1 KB
  • sub-skills/runtime-services/references/replay-and-video-model.md4.1 KB
  • sub-skills/runtime-services/references/service-lifecycle.md4.7 KB
  • sub-skills/runtime-services/references/troubleshooting.md7.0 KB
  • sub-skills/runtime-services/scripts/inspect_runtime_config.py9.1 KB
  • sub-skills/runtime-services/SKILL.md7.4 KB
  • sub-skills/simulation-wizard/references/cli-reference.md3.5 KB
  • sub-skills/simulation-wizard/references/configuration.md5.1 KB
  • sub-skills/simulation-wizard/references/deployment.md4.7 KB
  • sub-skills/simulation-wizard/references/scenes-and-results.md3.1 KB
  • sub-skills/simulation-wizard/references/telemetry.md1.9 KB
  • sub-skills/simulation-wizard/references/troubleshooting.md5.3 KB
  • sub-skills/simulation-wizard/scripts/check_prerequisites.py2.3 KB
  • sub-skills/simulation-wizard/SKILL.md7.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

AlpaSim

AlpaSim is a modular, data-driven autonomous-driving simulator. It orchestrates renderer, driver, controller, physics, traffic, runtime, and evaluation services through gRPC. Use this root as a router; read only the focused sub-skill needed for the task.

Route by intent

  • Prepare or run a simulation, compose Hydra overrides, select scenes, Docker/Slurm deployment, tune GPUs/timing, or inspect telemetry: read simulation-wizard.
  • Understand the event loop, service lifecycle, addresses, daemon mode, replay, timing validation, renderer caches, or video-model chunking: read runtime-services.
  • Select or adapt an ego policy, manual/external driver, model input/output, camera rectification, or plugin entry points/config discovery: read drivers-and-plugins.
  • Inspect ASL logs, extract frames, evaluate/aggregate/re-evaluate runs, interpret metrics/videos, or use trajectory/geometry utilities: read evaluation-and-logs.
  • Choose MPC, inspect vehicle state, run ground physics, understand CATK traffic sessions/handover, or classify CUDA/PyG/Warp requirements: read control-physics-traffic.
  • Change protobufs, compile generated stubs, use gRPC clients, inspect package entry points, or review safe developer/tool workflows: read grpc-and-developer-tools.

Cross-cutting details are in troubleshooting, package and backend notes, and coordinate frames. Run the read-only environment checker before optional backend work; the structured routing metadata is consumed by the specialized repo-skill importer. Check repository provenance before treating this graph as current for another checkout.

Installation orientation

AlpaSim is a uv workspace. The root project intentionally has no default runtime dependencies; install only the workspace extra for the chosen workflow:

uv sync --extra wizard                 # wizard and its transitive core
uv sync --extra all                    # all core packages, no optional plugin
uv sync --extra all --extra transfuser # core plus the public Transfuser plugin

Use Python 3.11 for the core packages. alpasim_driver currently requires Python 3.12, so use a compatible environment for driver/model inspection. A full simulation additionally requires Docker Compose, NVIDIA Container Toolkit/CUDA, scene artifacts, and often Hugging Face access; a package import is not proof that those services or assets work.

After changing .proto definitions, compile stubs from the gRPC package with uv run compile-protos; use the developer-tools route for the safe bundled compiler and clean/build distinctions. Verify a selected environment with:

python -c "import alpasim_grpc, alpasim_utils, alpasim_runtime, alpasim_wizard"
python -c "from alpasim_grpc.v0 import runtime_pb2, runtime_pb2_grpc"

Operating boundaries

  • Keep HF_TOKEN, external endpoints, private paths, model weights, scene caches, and scheduler credentials out of prompts, generated YAML, logs, and skill content. Treat gated scene/model downloads as user-authorized actions.
  • Start with config generation and a one-scene/one-rollout plan. Prefer wizard.run_method=NONE or a read-only checker before containers, network services, GPU inference, or scheduler submission.
  • Preserve resolved run files and the first causal service error. A rollout is successful only when its _complete marker and expected evaluation outputs exist; an ASL file alone is not completion.
  • Do not use CPU imports to claim CUDA renderer, Warp, CATK/PyG, or model inference coverage. The optional backend notes preserve those limits.
  • Keep coordinate-frame names explicit: local, rig, aabb, ecef, and the estimated/noised frame are not interchangeable. Read the coordinate reference before changing transforms or service messages.

Verification entry points

The generated graph is intended to support focused, reproducible checks rather than a default full simulation. Use the verification artifacts outside this runtime tree when reviewing coverage. Safe native candidates include wizard config/dispatch, runtime validation/replay, controller, evaluation/ASL, utilities, plugin registry, and protobuf compilation tests. Full Docker, NuRec/FlashDreams, gated HF assets, model inference, CATK compiled extensions, Slurm submission, and large benchmarks remain explicitly conditional.

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