mirror of https://github.com/rhasspy/piper
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
#!/usr/bin/env python3
|
|
import argparse
|
|
import logging
|
|
from pathlib import Path
|
|
|
|
import torch
|
|
|
|
from .vits.lightning import VitsModel
|
|
|
|
_LOGGER = logging.getLogger("piper_train.export_generator")
|
|
|
|
|
|
def main():
|
|
"""Main entry point"""
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("checkpoint", help="Path to model checkpoint (.ckpt)")
|
|
parser.add_argument("output", help="Path to output model (.pt)")
|
|
|
|
parser.add_argument(
|
|
"--debug", action="store_true", help="Print DEBUG messages to the console"
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
if args.debug:
|
|
logging.basicConfig(level=logging.DEBUG)
|
|
else:
|
|
logging.basicConfig(level=logging.INFO)
|
|
|
|
_LOGGER.debug(args)
|
|
|
|
# -------------------------------------------------------------------------
|
|
|
|
args.checkpoint = Path(args.checkpoint)
|
|
args.output = Path(args.output)
|
|
args.output.parent.mkdir(parents=True, exist_ok=True)
|
|
|
|
model = VitsModel.load_from_checkpoint(args.checkpoint, dataset=None)
|
|
model_g = model.model_g
|
|
|
|
# Inference only
|
|
model_g.eval()
|
|
|
|
with torch.no_grad():
|
|
model_g.dec.remove_weight_norm()
|
|
|
|
model_g.forward = model_g.infer
|
|
|
|
torch.save(model_g, args.output)
|
|
|
|
_LOGGER.info("Exported model to %s", args.output)
|
|
|
|
|
|
# -----------------------------------------------------------------------------
|
|
|
|
if __name__ == "__main__":
|
|
main()
|