From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
funasr/models/sanm/encoder.py | 8 ++++++++
1 files changed, 8 insertions(+), 0 deletions(-)
diff --git a/funasr/models/sanm/encoder.py b/funasr/models/sanm/encoder.py
index dc30a94..0d39ca7 100644
--- a/funasr/models/sanm/encoder.py
+++ b/funasr/models/sanm/encoder.py
@@ -523,6 +523,7 @@
feats_dim=560,
model_name="encoder",
onnx: bool = True,
+ ctc_linear: nn.Module = None,
):
super().__init__()
self.embed = model.embed
@@ -553,6 +554,8 @@
self.num_heads = model.encoders[0].self_attn.h
self.hidden_size = model.encoders[0].self_attn.linear_out.out_features
+ self.ctc_linear = ctc_linear
+
def prepare_mask(self, mask):
mask_3d_btd = mask[:, :, None]
if len(mask.shape) == 2:
@@ -566,6 +569,7 @@
def forward(self, speech: torch.Tensor, speech_lengths: torch.Tensor, online: bool = False):
if not online:
speech = speech * self._output_size**0.5
+
mask = self.make_pad_mask(speech_lengths)
mask = self.prepare_mask(mask)
if self.embed is None:
@@ -581,6 +585,10 @@
xs_pad = self.model.after_norm(xs_pad)
+ if self.ctc_linear is not None:
+ xs_pad = self.ctc_linear(xs_pad)
+ xs_pad = F.softmax(xs_pad, dim=2)
+
return xs_pad, speech_lengths
def get_output_size(self):
--
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