from pathlib import Path
|
import os
|
import argparse
|
from funasr.utils.types import str2bool
|
|
parser = argparse.ArgumentParser()
|
parser.add_argument('--model-name', type=str, required=True)
|
parser.add_argument('--export-dir', type=str, required=True)
|
parser.add_argument('--export', type=str2bool, default=True, help='whether to export model')
|
parser.add_argument('--type', type=str, default='onnx', help='["onnx", "torch"]')
|
parser.add_argument('--device', type=str, default='cpu', help='["cpu", "cuda"]')
|
parser.add_argument('--quantize', type=str2bool, default=False, help='export quantized model')
|
parser.add_argument('--fallback-num', type=int, default=0, help='amp fallback number')
|
parser.add_argument('--audio_in', type=str, default=None, help='["wav", "wav.scp"]')
|
parser.add_argument('--model_revision', type=str, default=None, help='model_revision')
|
parser.add_argument('--calib_num', type=int, default=200, help='calib max num')
|
args = parser.parse_args()
|
|
model_dir = args.model_name
|
if not Path(args.model_name).exists():
|
from modelscope.hub.snapshot_download import snapshot_download
|
try:
|
model_dir = snapshot_download(args.model_name, cache_dir=args.export_dir, revision=args.model_revision)
|
except:
|
raise "model_dir must be model_name in modelscope or local path downloaded from modelscope, but is {}".format \
|
(model_dir)
|
if args.export:
|
model_file = os.path.join(model_dir, 'model.onnx')
|
if args.quantize:
|
model_file = os.path.join(model_dir, 'model_quant.onnx')
|
if not os.path.exists(model_file):
|
print(".onnx is not exist, begin to export onnx")
|
from funasr.export.export_model import ModelExport
|
export_model = ModelExport(
|
cache_dir=args.export_dir,
|
onnx=True,
|
device="cpu",
|
quant=args.quantize,
|
)
|
export_model.export(model_dir)
|
