update paraformer_tiny export

funasr/export/models/encoder/conformer_encoder.py

@@ -61,7 +61,6 @@ class ConformerEncoder(nn.Module):
                 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:

funasr/export/models/modules/decoder_layer.py

@@ -54,6 +54,7 @@ class DecoderLayer(nn.Module):
     
     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)

funasr/export/models/modules/encoder_layer.py

@@ -61,7 +61,7 @@ class EncoderLayerConformer(nn.Module):
         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 @@ class EncoderLayerConformer(nn.Module):
 
         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)