onnx (#1460)

zhifu gao

2024-03-11 95cf2646fa6dae67bf53354f4ed5e81780d8fee9

 runtime/python/onnxruntime/funasr_onnx/vad_bin.py

@@ -54,19 +54,15 @@
      if not os.path.exists(model_file):
         print(".onnx is not exist, begin to export onnx")
         try:
            from funasr.export.export_model import ModelExport
            from funasr import AutoModel
         except:
            raise "You are exporting onnx, please install funasr and try it again. To install funasr, you could:\n" \
                  "\npip3 install -U funasr\n" \
                  "For the users in China, you could install with the command:\n" \
                  "\npip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple"
         export_model = ModelExport(
            cache_dir=cache_dir,
            onnx=True,
            device="cpu",
            quant=quantize,
         )
         export_model.export(model_dir)
			
         model = AutoModel(model=cache_dir)
         model_dir = model.export(type="onnx", quantize=quantize, device="cpu")
      config_file = os.path.join(model_dir, 'vad.yaml')
      cmvn_file = os.path.join(model_dir, 'vad.mvn')
      config = read_yaml(config_file)
@@ -222,19 +218,16 @@
      if not os.path.exists(model_file):
         print(".onnx is not exist, begin to export onnx")
         try:
            from funasr.export.export_model import ModelExport
            from funasr import AutoModel
         except:
            raise "You are exporting onnx, please install funasr and try it again. To install funasr, you could:\n" \
                  "\npip3 install -U funasr\n" \
                  "For the users in China, you could install with the command:\n" \
                  "\npip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple"
         export_model = ModelExport(
            cache_dir=cache_dir,
            onnx=True,
            device="cpu",
            quant=quantize,
         )
         export_model.export(model_dir)
			
         model = AutoModel(model=cache_dir)
         model_dir = model.export(type="onnx", quantize=quantize, device="cpu")
			
      config_file = os.path.join(model_dir, 'vad.yaml')
      cmvn_file = os.path.join(model_dir, 'vad.mvn')
      config = read_yaml(config_file)