funasr1.0.2

funasr/utils/runtime_sdk_download_tool.py

@@ -1,40 +0,0 @@
-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)