python/FunASR-XL.git

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			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('--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)

			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)