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di-engine

di-engine

Routes DI-engine users to the right workflow for CLI/config launches, serial and framework-based RL pipelines, and environment integration.

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Documentation de la Skill

GitHub

name: di-engine description: "Routes DI-engine users to the right workflow for CLI/config launches, serial and framework-based RL pipelines, and environment integration." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0 disable-model-invocation: true

DI-engine

Use this skill for the public DI-engine reinforcement-learning engine. It routes common user requests to focused sub-skills instead of forcing future agents to rediscover the repo structure from scratch.

Quick check

If you only need to verify that the package is installed, start with:

python -m pip check
python -c "import ding, dizoo; print(ding.__version__)"

For a faster bundled smoke check, run scripts/check_install.py from an environment where DI-engine is installed.

Main routes

cli-config

Read this when the user asks about:

  • ding or ditask CLI usage
  • config files, main_config, create_config, or system_config
  • compile_config, read_config, save_config, or registry queries
  • launch flags for serial, parallel, dist, eval, or ditask
  • the repo-provided shell wrappers for serial/parallel launches

serial-pipelines

Read this when the user asks about:

  • ding.entry.serial_pipeline, serial_pipeline_onpolicy, or serial_pipeline_offline
  • eval, collect_demo_data, collect_episodic_demo_data, or episodic post-processing
  • legacy ding/entry/* launchers and environment-specific entry scripts under dizoo/
  • special modes such as SQIL, GAIL, DQFD, TREX, NGU, reward-model, or offline RL

framework-runtime

Read this when the user asks about:

  • ding.framework.task, Parallel, Supervisor, or EventLoop
  • middleware-based recipes using StepCollector, OffPolicyLearner, multistep_trainer, interaction_evaluator, CkptSaver, or data_pusher
  • the modern example scripts in ding/example/
  • multi-process message routing, task.wait_for, task.emit, or auto-recovery

env-integration

Read this when the user asks about:

  • DingEnvWrapper, BaseEnvManager, BaseEnvManagerV2, or EnvSupervisor
  • env wrapper selection, reset/step shape mismatches, or new environment onboarding
  • DIZoo environment patterns in dizoo/classic_control/, bitflip/, frozen_lake/, or league_demo/
  • custom environment adapters and the env-specific config/template pattern

Useful bundled helpers

  • scripts/check_install.py — quick import/version/config smoke for a prepared environment.
  • scripts/run_serial.sh — thin wrapper for ding -m serial with a config path and seed.
  • scripts/run_parallel.sh — thin wrapper for ding -m parallel with a config path and seed.

Read first

  • references/package-surface.md for the repo module map and public entry points.
  • references/troubleshooting.md for cross-cutting install/import/runtime failures.

Notes

  • This skill covers the core DI-engine workflows that can be exercised from the installed package and bundled helpers without reopening the source checkout.
  • Advanced external environment families that need separate optional packages are intentionally left out of the default routes.
  • If a request mentions a specific example, config, or entry script, route to the sub-skill that owns that workflow rather than reading the source tree directly.
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