FunASR/funasr/bin/export.py
zhifu gao 861147c730
Dev gzf exp (#1654)
* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* sensevoice finetune

* bugfix

* update with main (#1631)

* update seaco finetune

* v1.0.24

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Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* sensevoice

* sensevoice

* sensevoice

* update with main (#1638)

* update seaco finetune

* v1.0.24

* update rwkv template

---------

Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* sense voice

* whisper

* whisper

* update style

* update style

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Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>
2024-04-24 16:03:38 +08:00

46 lines
1.2 KiB
Python

import os
import hydra
import logging
from omegaconf import DictConfig, OmegaConf, ListConfig
from funasr.auto.auto_model import AutoModel
@hydra.main(config_name=None, version_base=None)
def main_hydra(cfg: DictConfig):
def to_plain_list(cfg_item):
if isinstance(cfg_item, ListConfig):
return OmegaConf.to_container(cfg_item, resolve=True)
elif isinstance(cfg_item, DictConfig):
return {k: to_plain_list(v) for k, v in cfg_item.items()}
else:
return cfg_item
kwargs = to_plain_list(cfg)
log_level = getattr(logging, kwargs.get("log_level", "INFO").upper())
logging.basicConfig(level=log_level)
if kwargs.get("debug", False):
import pdb
pdb.set_trace()
if "device" not in kwargs:
kwargs["device"] = "cpu"
model = AutoModel(**kwargs)
res = model.export(
input=kwargs.get("input", None),
type=kwargs.get("type", "onnx"),
quantize=kwargs.get("quantize", False),
fallback_num=kwargs.get("fallback-num", 5),
calib_num=kwargs.get("calib_num", 100),
opset_version=kwargs.get("opset_version", 14),
)
print(res)
if __name__ == "__main__":
main_hydra()