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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
"""
Utility to export a training checkpoint to a lightweight release checkpoint.
"""
from pathlib import Path
import typing as tp
from omegaconf import OmegaConf
import torch
from audiocraft import __version__
def export_encodec(checkpoint_path: tp.Union[Path, str], out_file: tp.Union[Path, str]):
"""Export only the best state from the given EnCodec checkpoint. This
should be used if you trained your own EnCodec model.
"""
pkg = torch.load(checkpoint_path, 'cpu')
new_pkg = {
'best_state': pkg['best_state']['model'],
'xp.cfg': OmegaConf.to_yaml(pkg['xp.cfg']),
'version': __version__,
'exported': True,
}
Path(out_file).parent.mkdir(exist_ok=True, parents=True)
torch.save(new_pkg, out_file)
return out_file
def export_pretrained_compression_model(pretrained_encodec: str, out_file: tp.Union[Path, str]):
"""Export a compression model (potentially EnCodec) from a pretrained model.
This is required for packaging the audio tokenizer along a MusicGen or AudioGen model.
Do not include the //pretrained/ prefix. For instance if you trained a model
with `facebook/encodec_32khz`, just put that as a name. Same for `dac_44khz`.
In that case, this will not actually include a copy of the model, simply the reference
to the model used.
"""
if Path(pretrained_encodec).exists():
pkg = torch.load(pretrained_encodec)
assert 'best_state' in pkg
assert 'xp.cfg' in pkg
assert 'version' in pkg
assert 'exported' in pkg
else:
pkg = {
'pretrained': pretrained_encodec,
'exported': True,
'version': __version__,
}
Path(out_file).parent.mkdir(exist_ok=True, parents=True)
torch.save(pkg, out_file)
def export_lm(checkpoint_path: tp.Union[Path, str], out_file: tp.Union[Path, str]):
"""Export only the best state from the given MusicGen or AudioGen checkpoint.
"""
pkg = torch.load(checkpoint_path, 'cpu')
if pkg['fsdp_best_state']:
best_state = pkg['fsdp_best_state']['model']
else:
assert pkg['best_state']
best_state = pkg['best_state']['model']
new_pkg = {
'best_state': best_state,
'xp.cfg': OmegaConf.to_yaml(pkg['xp.cfg']),
'version': __version__,
'exported': True,
}
Path(out_file).parent.mkdir(exist_ok=True, parents=True)
torch.save(new_pkg, out_file)
return out_file
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