update

嘉渊

2023-04-24 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1

 funasr/runtime/python/utils/infer.py

@@ -15,9 +15,9 @@
args = parser.parse_args()


from funasr.runtime.python.libtorch.torch_paraformer import Paraformer
from funasr.runtime.python.libtorch.funasr_torch import Paraformer
if args.backend == "onnx":
   from funasr.runtime.python.onnxruntime.rapid_paraformer import Paraformer
   from funasr.runtime.python.onnxruntime.funasr_onnx import Paraformer
   
model = Paraformer(args.model_dir, batch_size=1, quantize=args.quantize, intra_op_num_threads=args.intra_op_num_threads)

@@ -37,8 +37,8 @@
for i, wav_path_i in enumerate(wav_files):
   wav_name, wav_path = wav_path_i.strip().split()
   result = model(wav_path)
   text_i = "{} {}\n".format(wav_name, result[0])
   token_i = "{} {}\n".format(wav_name, result[1])
   text_i = "{} {}\n".format(wav_name, result[0]['preds'][0])
   token_i = "{} {}\n".format(wav_name, result[0]['preds'][1])
   text_f.write(text_i)
   text_f.flush()
   token_f.write(token_i)