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Release VimeML V4.2 epoch20 FP32 and Core ML INT8 (GPL-2.0)
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"""Explicit V4 training entry; importing it never starts training."""
import sys
import argparse
import tomllib
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT / "src"))
from vimeml.training.model_factory_v4 import register_v4
from vimeml.training.train import main as training_main
def main(argv=None):
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--config", type=Path, default=ROOT / "configs/train-v4-b.toml")
parser.add_argument("--resume", action="store_true")
parser.add_argument("--dry-run", action="store_true")
args = parser.parse_args(argv)
config = tomllib.loads(args.config.read_text(encoding="utf-8"))
if config.get("architecture") != "tiny_gpt_v4":
parser.error("This entry point accepts only tiny_gpt_v4 configurations")
register_v4()
# Reuse the established tracking dispatch, including its offline mode.
forwarded = ["--config", str(args.config.resolve())]
if args.resume:
forwarded.append("--resume")
if args.dry_run:
forwarded.append("--dry-run")
return training_main(forwarded)
if __name__ == "__main__":
main()