update predictor_bias for onnx model

shixian.shi

2023-04-13 bf5eb6f5acbbdc8d8b620c0b67185f67da4a4492

update predictor_bias for onnx model

 funasr/runtime/python/libtorch/funasr_torch/paraformer_bin.py

@@ -23,7 +23,6 @@
                 batch_size: int = 1,
                 device_id: Union[str, int] = "-1",
                 plot_timestamp_to: str = "",
                 pred_bias: int = 1,
                 quantize: bool = False,
                 intra_op_num_threads: int = 1,
                 ):
@@ -48,7 +47,10 @@
        self.batch_size = batch_size
        self.device_id = device_id
        self.plot_timestamp_to = plot_timestamp_to
        self.pred_bias = pred_bias
        if "predictor_bias" in config['model_conf'].keys():
            self.pred_bias = config['model_conf']['predictor_bias']
        else:
            self.pred_bias = 0

    def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs) -> List:
        waveform_list = self.load_data(wav_content, self.frontend.opts.frame_opts.samp_freq)

 funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py

@@ -23,7 +23,6 @@
                 batch_size: int = 1,
                 device_id: Union[str, int] = "-1",
                 plot_timestamp_to: str = "",
                 pred_bias: int = 1,
                 quantize: bool = False,
                 intra_op_num_threads: int = 4,
                 ):
@@ -47,7 +46,10 @@
        self.ort_infer = OrtInferSession(model_file, device_id, intra_op_num_threads=intra_op_num_threads)
        self.batch_size = batch_size
        self.plot_timestamp_to = plot_timestamp_to
        self.pred_bias = pred_bias
        if "predictor_bias" in config['model_conf'].keys():
            self.pred_bias = config['model_conf']['predictor_bias']
        else:
            self.pred_bias = 0

    def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs) -> List:
        waveform_list = self.load_data(wav_content, self.frontend.opts.frame_opts.samp_freq)