From 090898477c5b34beb049a5705d33c76b3be5e72e Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 1 Feb 2023 17:49:08 +0900
Subject: [PATCH] from local

---
 .../.conformer_randomcombine.py.swp           | Bin 94208 -> 94208 bytes
 .../.decode.py.swo                            | Bin 45056 -> 45056 bytes
 .../conformer_randomcombine.py                |   6 ++++--
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer_randomcombine.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer_randomcombine.py.swp
index acfb759ced3224b93e6501efdd8a51720d907ddf..8a5a6dcf35f7b3de7ff187a02caa589cf39e7920 100644
GIT binary patch
delta 371
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zmg0s6AsV6~Xe%&ka3~t0$!H4d(eQyczed+?bnWvk*DCwlu9=7zf>PC%<Vs~TSWML8
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z939@=qH6nAa4LA%iuv!Qhp?3~ZEw`dn<sDVzl(uPEp4v65tFE70=4w?ZmM#bs#ve-
EKjC*j=Kufz

delta 355
zcmWO2KPW^20LSs)tM{IJ=Z=SDLo&#4Hs!i<i#p3)7N?uk%?=Yq-IeK{&5LKdI{6pE
zz2pY7lnmxuUNI>ti-qzXKJ}e`!><-uwaB_zbB$cM?)p>7hADL{Nv@Rh`?5pTuO8_d
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s&AnzK*k3dTg3Gco7PjXaF~42v_b>7(e|XFB-}2Kt>B4=wU_6fg1HF|(DF6Tf

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.decode.py.swo b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.decode.py.swo
index 0a3e09351b19b14c1dc2749d0dbc4be832cd7a54..fe74b4e0b5a853672b2a975cea7eb48dd1d98576 100644
GIT binary patch
delta 34
ocmZp8z|`=7Nj%9Q%+puFQqO<^2m}}yV%2UXH@j<Y6o0uM0IO#TGynhq

delta 34
ocmZp8z|`=7Nj%9Q%+puFQqO<^2m}}yt{7}d{x+F?qxj490JGH#EC2ui

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
index 4864e9ff2..604d36971 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
@@ -221,8 +221,10 @@ class Conformer(EncoderInterface):
                 x += self.sigmoid(alpha) * layer_outputs[(enum+1)*self.group_layer_num-1]
             x = self.layer_norm(x/self.group_num)
             '''
-            x = self.sigmoid(self.alpha[0]) * layer_outputs[2]
-            x += self.sigmoid(self.alpha[1]) * layer_outputs[5]
+            x = layer_outputs[2]
+            #x = self.sigmoid(self.alpha[0]) * layer_outputs[2]
+            #x += self.sigmoid(self.alpha[1]) * layer_outputs[5]
+            #x += self.sigmoid(self.alpha[2]) * layer_outputs[5]
             x = self.layer_norm(x/2)
 
         return x, lengths