From a62cd7a3fdae0e48da16558daf89a4498512fdb9 Mon Sep 17 00:00:00 2001
From: shixian <shixian@U-09RYG5WD-2244.local>
Date: 星期五, 20 十二月 2024 10:50:51 +0800
Subject: [PATCH] update sensevoice onnx

---
 runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py |    8 +++-----
 1 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
index b3d8dcf..bf325c8 100644
--- a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
+++ b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
@@ -3,8 +3,6 @@
 # Copyright FunASR (https://github.com/FunAudioLLM/SenseVoice). All Rights Reserved.
 #  MIT License  (https://opensource.org/licenses/MIT)
 
-
-import torch
 import os.path
 import librosa
 import numpy as np
@@ -181,12 +179,12 @@
             )
             for b in range(feats.shape[0]):
                 # back to torch.Tensor
-                if isinstance(ctc_logits, np.ndarray):
-                    ctc_logits = torch.from_numpy(ctc_logits).float()
+                # if isinstance(ctc_logits, np.ndarray):
+                #     ctc_logits = torch.from_numpy(ctc_logits).float()
                 # support batch_size=1 only currently
                 x = ctc_logits[b, : encoder_out_lens[b].item(), :]
                 yseq = x.argmax(dim=-1)
-                yseq = torch.unique_consecutive(yseq, dim=-1)
+                yseq = np.unique(yseq)
 
                 mask = yseq != self.blank_id
                 token_int = yseq[mask].tolist()

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