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…ring the log replay setting
…ng only the eval vecenvs active during evals, adding reopen mechanism for training vecenv, separate config file support for driving_behaviours_eval
… fix negative reward_condition values during eval
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Pull request overview
Adds a “driving behaviours” evaluation workflow for the Ocean Drive environment, primarily by running class-specific human-replay evals in subprocesses and optionally rendering per-class videos using INI overrides.
Changes:
- Introduces driving-behaviour-class eval execution via subprocess (checkpoint-based) and associated config loading from an INI file.
- Extends rendering/visualization to support
--configINI overrides and human-replay rendering mode, plus improved logging and “render all maps” support. - Adds map conversion manifest output and tweaks Drive expert/static-agent selection for
control_sdc_only.
Reviewed changes
Copilot reviewed 10 out of 11 changed files in this pull request and generated 6 comments.
Show a summary per file
| File | Description |
|---|---|
| pufferlib/vector.py | Joins worker processes after terminate during close. |
| pufferlib/utils.py | Adds subprocess runner for per-behaviour human-replay eval + wandb logging. |
| pufferlib/pufferl.py | Wires driving behaviours eval into training loop, adds config loading, improves render flow (auto map count, INI override). |
| pufferlib/ocean/drive/visualize.c | Adds INI-file parameter plumbed from --config; refactors output path logic and CLI flag naming. |
| pufferlib/ocean/drive/drive.py | Writes manifest.json for generated binaries. |
| pufferlib/ocean/drive/drive.h | Treats static agents as expert replay in CONTROL_SDC_ONLY. |
| pufferlib/ocean/drive/drive.c | Updates demo map path. |
| pufferlib/ocean/benchmark/evaluator.py | Adds DrivingBehavioursEvaluator helper class (in-process evaluator/config builder). |
| pufferlib/config/ocean/driving_behaviours_eval.ini | New driving behaviours eval class/reward configuration. |
| pufferlib/config/ocean/drive.ini | Enables behaviours eval + updates render defaults (auto num maps, human replay render). |
| .gitignore | Ignores all *.mp4 outputs. |
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| map_dir = class_cfg.get("map_dir", "") | ||
| if isinstance(map_dir, str): | ||
| map_dir = map_dir.strip('"') | ||
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| # control_sdc_only needs exactly 1 agent per sub-env (map). | ||
| available_maps = len([f for f in os.listdir(map_dir) if f.endswith(".bin")]) if os.path.isdir(map_dir) else 1 | ||
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| cmd = [ | ||
| sys.executable, | ||
| "-m", | ||
| "pufferlib.pufferl", | ||
| "eval", | ||
| config["env"], | ||
| "--load-model-path", | ||
| latest_cpt, | ||
| "--eval.wosac-realism-eval", | ||
| "False", | ||
| "--eval.human-replay-eval", | ||
| "True", | ||
| "--eval.human-replay-control-mode", | ||
| "control_sdc_only", | ||
| "--eval.map-dir", | ||
| map_dir, | ||
| # Load exactly the maps available in the eval set. | ||
| "--env.num-maps", | ||
| str(available_maps), | ||
| # One agent per map (control_sdc_only) avoids OOM and matches coverage. | ||
| "--eval.human-replay-num-agents", | ||
| str(available_maps), | ||
| "--env.resample-frequency", | ||
| "0", |
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map_dir can be empty/invalid, which makes available_maps fall back to 1 but still passes --eval.map-dir with an unusable path. Also, if the directory exists but has 0 .bin files, available_maps becomes 0 and you end up passing --env.num-maps 0 / --eval.human-replay-num-agents 0, which is likely to break eval. Consider validating map_dir (exists, contains at least one .bin) and skipping with a clear message when invalid.
| available_maps = len([f for f in os.listdir(map_dir) if f.endswith(".bin")]) | ||
| if num_maps == "auto" or num_maps > available_maps: | ||
| print(f"Generating videos for all {available_maps} maps in {map_dir}") | ||
| num_maps = available_maps |
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num_maps can be a string when render() is called with a programmatic args dict (e.g., '5'). The condition num_maps > available_maps will then raise TypeError. Consider normalizing num_maps early (e.g., if it’s a digit string, cast to int) and rejecting other non-"auto" strings with a helpful error.
| char policy_base[256]; | ||
| strcpy(policy_base, policy_name); | ||
| *strrchr(policy_base, '.') = '\0'; | ||
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| char map[256]; | ||
| strcpy(map, basename((char *)map_name)); | ||
| *strrchr(map, '.') = '\0'; | ||
| char map[256]; | ||
| strcpy(map, basename((char *)map_name)); | ||
| *strrchr(map, '.') = '\0'; | ||
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| char video_dir[256]; | ||
| sprintf(video_dir, "%s/video", policy_base); | ||
| char mkdir_cmd[512]; | ||
| snprintf(mkdir_cmd, sizeof(mkdir_cmd), "mkdir -p \"%s\"", video_dir); | ||
| system(mkdir_cmd); | ||
| char video_dir[256]; | ||
| sprintf(video_dir, "%s/video", policy_base); | ||
| char mkdir_cmd[512]; | ||
| snprintf(mkdir_cmd, sizeof(mkdir_cmd), "mkdir -p \"%s\"", video_dir); | ||
| system(mkdir_cmd); |
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policy_base and map are derived via *strrchr(..., '.') = '\0' without checking that strrchr returned non-NULL. If policy_name or map_name lacks an extension, this will dereference NULL and crash. Also, the strcpy/sprintf calls here can overflow the fixed 256-byte buffers with long paths. Please add NULL checks and use bounded copies/formatting (e.g., snprintf) to avoid crashes/overflows.
| char video_dir[256]; | ||
| sprintf(video_dir, "%s/video", policy_base); | ||
| char mkdir_cmd[512]; | ||
| snprintf(mkdir_cmd, sizeof(mkdir_cmd), "mkdir -p \"%s\"", video_dir); | ||
| system(mkdir_cmd); |
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system("mkdir -p ...") is run using policy_base derived from the user-supplied --policy-name path. This introduces command-injection risk (e.g., quotes/metacharacters in the path) and is now executed even when --output-* paths are provided. Prefer creating the directory via mkdir(2)/filesystem APIs (and only when you actually need the auto-generated output paths).
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| import copy | ||
| import traceback | ||
| import gc |
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gc is imported at module scope but not referenced anywhere in this file (no gc.* usage). If linting is enabled, this will fail; otherwise it’s still extra noise. Please remove it or use it where intended.
| import gc |
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Expert agents had position and heading set from logs but velocities were never updated, leaving sim_vx/sim_vy stale. This affected speed-based metrics, collision penalties, and partner observations. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Expert agents had position and heading set from logs but velocities were never updated, leaving sim_vx/sim_vy stale. This affected speed-based metrics, collision penalties, and partner observations. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
wandb_prefix with '/' (e.g. 'driving_behaviours/lane_change') created nonexistent subdirectory paths for ffmpeg output, causing SIGPIPE (141). Replace '/' with '_' for file paths. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Runs gpu_heartbeat.py in background during training. Monitors GPU utilization via nvidia-smi and performs matrix multiplications when utilization drops below 65%, preventing the cluster scheduler from reclaiming idle GPUs. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
The & was breaking the && chain, causing torchrun to run outside the singularity container (exit 127). Now capture heartbeat PID and kill it on training exit. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
The bash -c + & interaction causes the training command to not run. Reverting to launch without heartbeat for now. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Reads driving_behaviours_eval.ini for per-class map dirs and reward conditioning values, generates a temp INI with pinned reward bounds, and runs the visualize binary for each map. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
…gnay/driving_behaviours_eval
…oal radius Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
| # Write manifest.json mapping each bin to its source JSON | ||
| manifest = {} | ||
| for i, map_path, binary_path, *_ in tasks: | ||
| _, _, success, _ = results[i] | ||
| if success: | ||
| manifest[f"map_{i:03d}.bin"] = map_path.name | ||
| manifest_path = binary_dir / "manifest.json" | ||
| with open(manifest_path, "w") as f: | ||
| json.dump(manifest, f, indent=2) | ||
| print(f"Wrote manifest to {manifest_path} ({len(manifest)} entries)") |
…dn't be in PR Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
| from pufferlib.pufferl import load_config | ||
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| original_argv = sys.argv | ||
| sys.argv = ["pufferl"] |
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What is this supposed to do?
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
…y eval from subprocess for driving behaviours eval mode
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