From 57744de7ad83debcd60fd46e08896248ccf571eb Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 21 Feb 2023 02:06:27 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc2/.conformer.py.swp      | Bin 65536 -> 65536 bytes
 .../ASR/conformer_ctc2/conformer.py           |   5 +++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp b/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp
index cf13a0034d193dd46b44a629a2f8ddebb880ee31..613353d33e6f8afe1c1c2e8b7dcbf3905081e95e 100644
GIT binary patch
delta 402
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delta 424
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diff --git a/egs/librispeech/ASR/conformer_ctc2/conformer.py b/egs/librispeech/ASR/conformer_ctc2/conformer.py
index e3e9ce522..e4fbc8fa7 100644
--- a/egs/librispeech/ASR/conformer_ctc2/conformer.py
+++ b/egs/librispeech/ASR/conformer_ctc2/conformer.py
@@ -138,8 +138,9 @@ class Conformer(Transformer):
         if self.group_num != 0:
             self.learnable_alpha = learnable_alpha
             self.group_layer_num = int(num_encoder_layers // self.group_num)
-            self.alpha = nn.Parameter(torch.rand(self.group_num))
-            self.sigmoid = nn.Sigmoid()
+            if self.learnable_alpha:
+                self.alpha = nn.Parameter(torch.rand(self.group_num))
+                self.sigmoid = nn.Sigmoid()
             self.layer_norm = nn.LayerNorm(d_model)
 
         self.interctc = interctc