From bf5eb6f5acbbdc8d8b620c0b67185f67da4a4492 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 13 四月 2023 14:33:44 +0800
Subject: [PATCH] update predictor_bias for onnx model
---
funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py | 6 ++++--
funasr/runtime/python/libtorch/funasr_torch/paraformer_bin.py | 6 ++++--
2 files changed, 8 insertions(+), 4 deletions(-)
diff --git a/funasr/runtime/python/libtorch/funasr_torch/paraformer_bin.py b/funasr/runtime/python/libtorch/funasr_torch/paraformer_bin.py
index e169087..9954daa 100644
--- a/funasr/runtime/python/libtorch/funasr_torch/paraformer_bin.py
+++ b/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)
diff --git a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py b/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
index cbdb8d9..e3ef8c7 100644
--- a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
+++ b/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)
--
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