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https://huggingface.co/coolpoodle/music3lab/resolve/main/scripts/run_audio_continuation.py
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3.24 kB
| #!/usr/bin/env python3 | |
| """Run the bounded arbitrary-WAV continuous-latent continuation experiment.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| from typing import Sequence | |
| from music3lab.editing.audio_continuation_runner import ( | |
| load_audio_continuation_config, | |
| run_audio_continuation, | |
| ) | |
| def _parser() -> argparse.ArgumentParser: | |
| parser = argparse.ArgumentParser( | |
| description=( | |
| "Evaluate frozen continuous encoders for local arbitrary-WAV " | |
| "continuation; this is not native AR/RVQ continuation." | |
| ) | |
| ) | |
| commands = parser.add_subparsers(dest="command", required=True) | |
| check = commands.add_parser("check-config") | |
| check.add_argument("--config", type=Path, required=True) | |
| run = commands.add_parser("run") | |
| run.add_argument("--config", type=Path, required=True) | |
| run.add_argument("--flow-config", type=Path, required=True) | |
| run.add_argument("--audio", type=Path, required=True) | |
| run.add_argument("--baseline-checkpoint", type=Path, required=True) | |
| run.add_argument("--specialist-checkpoint", type=Path, required=True) | |
| run.add_argument("--snapshot", type=Path, required=True) | |
| run.add_argument("--base-manifest", type=Path, required=True) | |
| run.add_argument("--diffusers-root", type=Path, required=True) | |
| run.add_argument("--output-root", type=Path, required=True) | |
| return parser | |
| def main(argv: Sequence[str] | None = None) -> int: | |
| arguments = _parser().parse_args(argv) | |
| if arguments.command == "check-config": | |
| config, file_sha256 = load_audio_continuation_config(arguments.config) | |
| result = { | |
| "schema_version": config.schema_version, | |
| "config_file_sha256": file_sha256, | |
| "capability": config.capability, | |
| "specialist_champion_eligible": config.specialist_champion_eligible, | |
| "native_tokens_used": False, | |
| } | |
| elif arguments.command == "run": | |
| metrics = run_audio_continuation( | |
| config_path=arguments.config, | |
| flow_config_path=arguments.flow_config, | |
| source_audio_path=arguments.audio, | |
| baseline_checkpoint=arguments.baseline_checkpoint, | |
| specialist_checkpoint=arguments.specialist_checkpoint, | |
| snapshot=arguments.snapshot, | |
| base_manifest=arguments.base_manifest, | |
| diffusers_root=arguments.diffusers_root, | |
| output_root=arguments.output_root, | |
| ) | |
| result = { | |
| "output_root": str(arguments.output_root.absolute()), | |
| "status": metrics["status"], | |
| "frozen_af2ed70_gate": metrics["encoders"]["frozen_af2ed70"][ | |
| "gate" | |
| ]["passes"], | |
| "rejected_external_specialist_gate": metrics["encoders"][ | |
| "rejected_external_specialist" | |
| ]["gate"]["passes"], | |
| "specialist_promoted": metrics["specialist_promoted"], | |
| } | |
| else: | |
| raise AssertionError("unreachable command") | |
| print(json.dumps(result, sort_keys=True, separators=(",", ":"))) | |
| return 0 if result.get("status", "FUNCTIONAL_PASS") == "FUNCTIONAL_PASS" else 1 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |