85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""One-click pipeline: prepare -> train -> export -> evaluate -> plot loss."""
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import argparse
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import subprocess
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import sys
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from pathlib import Path
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import json
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from platform_utils import safe_path, is_windows
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def run(cmd):
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print("running:", " ".join(cmd))
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# 使用safe_path确保跨平台兼容性
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cmd = [safe_path(arg) for arg in cmd]
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# 在Windows上可能需要特殊处理
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if is_windows():
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subprocess.run(cmd, check=True, shell=False)
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else:
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subprocess.run(cmd, check=True)
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def parse_args():
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parser = argparse.ArgumentParser(description="Run full HAI pipeline.")
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base_dir = Path(__file__).resolve().parent
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parser.add_argument(
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"--config",
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default=str(base_dir / "config.json"),
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help="Path to training config JSON",
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)
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parser.add_argument(
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"--device",
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default="auto",
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help="cpu, cuda, or auto (used for export_samples.py)",
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)
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return parser.parse_args()
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def main():
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args = parse_args()
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base_dir = Path(__file__).resolve().parent
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config_path = Path(args.config)
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with open(config_path, "r", encoding="utf-8") as f:
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cfg = json.load(f)
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timesteps = cfg.get("timesteps", 200)
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seq_len = cfg.get("sample_seq_len", cfg.get("seq_len", 64))
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batch_size = cfg.get("sample_batch_size", cfg.get("batch_size", 2))
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clip_k = cfg.get("clip_k", 5.0)
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data_glob = cfg.get("data_glob", "")
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data_path = cfg.get("data_path", "")
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run([sys.executable, str(base_dir / "prepare_data.py")])
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run([sys.executable, str(base_dir / "train.py"), "--config", args.config, "--device", args.device])
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run(
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[
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sys.executable,
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str(base_dir / "export_samples.py"),
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"--include-time",
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"--device",
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args.device,
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"--config",
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str(config_path),
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"--timesteps",
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str(timesteps),
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"--seq-len",
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str(seq_len),
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"--batch-size",
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str(batch_size),
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"--clip-k",
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str(clip_k),
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"--use-ema",
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]
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)
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ref = data_glob if data_glob else data_path
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if ref:
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run([sys.executable, str(base_dir / "evaluate_generated.py"), "--reference", str(ref)])
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else:
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run([sys.executable, str(base_dir / "evaluate_generated.py")])
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run([sys.executable, str(base_dir / "plot_loss.py")])
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if __name__ == "__main__":
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main()
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