From f5c2f3bf5c16c1d2618c35016409c06b27c65c9b Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 13 二月 2023 21:36:13 +0800
Subject: [PATCH] export model
---
funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py | 9 +++++----
1 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py b/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
index f8fe063..e520008 100644
--- a/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
+++ b/funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/paraformer_onnx.py
@@ -9,10 +9,11 @@
import librosa
import numpy as np
-from .utils.utils import (CharTokenizer, Hypothesis, ONNXRuntimeError,
- OrtInferSession, TokenIDConverter, WavFrontend, get_logger,
+from utils.utils import (CharTokenizer, Hypothesis, ONNXRuntimeError,
+ OrtInferSession, TokenIDConverter, get_logger,
read_yaml)
-from .utils.postprocess_utils import sentence_postprocess
+from utils.postprocess_utils import sentence_postprocess
+from utils.frontend import WavFrontend
logging = get_logger()
@@ -65,7 +66,7 @@
wav_content: Union[str, np.ndarray, List[str]]) -> List:
def load_wav(path: str) -> np.ndarray:
waveform, _ = librosa.load(path, sr=None)
- return waveform[None, ...]
+ return waveform
if isinstance(wav_content, np.ndarray):
return [wav_content]
--
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