From 82e5ca37a8bd80f56c99f9d790a03b458ced716b Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 25 二月 2025 14:28:34 +0800
Subject: [PATCH] Large-Scale Data Training
---
runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py | 6 ++++--
1 files changed, 4 insertions(+), 2 deletions(-)
diff --git a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
index 9cfe46f..6a06ed1 100644
--- a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
+++ b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
@@ -183,8 +183,10 @@
# 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 = np.unique(yseq)
+ yseq = np.argmax(x, axis=-1)
+ # Use np.diff and np.where instead of torch.unique_consecutive.
+ mask = np.concatenate(([True], np.diff(yseq) != 0))
+ yseq = yseq[mask]
mask = yseq != self.blank_id
token_int = yseq[mask].tolist()
--
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