From ef9fb6316245d18525be559163a63b9458e588dd Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 三月 2023 18:25:29 +0800
Subject: [PATCH] Merge pull request #205 from alibaba-damo-academy/dev_onnx

---
 funasr/export/models/modules/decoder_layer.py     |    1 +
 funasr/export/models/modules/encoder_layer.py     |    4 ++--
 funasr/export/models/encoder/conformer_encoder.py |    1 -
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/funasr/export/models/encoder/conformer_encoder.py b/funasr/export/models/encoder/conformer_encoder.py
index 9f22574..0a35653 100644
--- a/funasr/export/models/encoder/conformer_encoder.py
+++ b/funasr/export/models/encoder/conformer_encoder.py
@@ -61,7 +61,6 @@
                 speech: torch.Tensor,
                 speech_lengths: torch.Tensor,
                 ):
-        speech = speech * self._output_size ** 0.5
         mask = self.make_pad_mask(speech_lengths)
         mask = self.prepare_mask(mask)
         if self.embed is None:
diff --git a/funasr/export/models/modules/decoder_layer.py b/funasr/export/models/modules/decoder_layer.py
index f539452..9a464a4 100644
--- a/funasr/export/models/modules/decoder_layer.py
+++ b/funasr/export/models/modules/decoder_layer.py
@@ -54,6 +54,7 @@
     
     def forward(self, tgt, tgt_mask, memory, memory_mask, cache=None):
         residual = tgt
+        tgt = self.norm1(tgt)
         tgt_q = tgt
         tgt_q_mask = tgt_mask
         x = residual + self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)
diff --git a/funasr/export/models/modules/encoder_layer.py b/funasr/export/models/modules/encoder_layer.py
index 622b109..d132574 100644
--- a/funasr/export/models/modules/encoder_layer.py
+++ b/funasr/export/models/modules/encoder_layer.py
@@ -61,7 +61,7 @@
         if self.feed_forward_macaron is not None:
             residual = x
             x = self.norm_ff_macaron(x)
-            x = residual + self.feed_forward_macaron(x)
+            x = residual + self.feed_forward_macaron(x) * 0.5
 
         residual = x
         x = self.norm_mha(x)
@@ -81,7 +81,7 @@
 
         residual = x
         x = self.norm_ff(x)
-        x = residual + self.feed_forward(x)
+        x = residual + self.feed_forward(x) * 0.5
 
         x = self.norm_final(x)
 

--
Gitblit v1.9.1