From 9c91672d5aa8c034e364330378cf8a9ef13e897f Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Thu, 2 Feb 2023 11:06:35 +0900 Subject: [PATCH] from local --- .../.conformer_randomcombine.py.swp | Bin 94208 -> 94208 bytes .../conformer_randomcombine.py | 2 +- 2 files changed, 1 insertion(+), 1 deletion(-) 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 db5881fdaf687a0e80a76273904ce8181e1de737..978a2f728eb8ed2e7ea8f1bdb08fc1a638301906 100644 GIT binary patch delta 353 zcmWN}y-PxI7{&3^rJs4#K!ZDEgWA#(Weq_znBY>B5QtC^K{f|M(UwBdWHelY=B%v- zamXRO&ArSCrbt6Vi}VLXeINM1;c$4$JyY%(XE&K&S&uKyB*lfLqiDPESaSv`)37L9 zdwI6hAC+#ghcx~|l7}X4P{lb8k-{XtgVF~saEv*82Bb@D!oj;Oz2E=~u+a5O9n^4z zGrvmOCM;nbKJ-VV7ChYJ6gkWz2I0rY4qx!lL>1SlpojuiF^yj%z2XiP>?4CIGr^-_ lsf{;0p@l^83s~*j?Y`3vB=62RXCz0$!Bs(-n`~x2aKiU8Q delta 349 zcmWN}ze_@40EOYB^p&?Cn2-<_l}k%dx1phiGISA2kRTeOLFYiIRTQL2X)$ot+G;2q zoV@PptdIpZbiv8~0IA*s51i@E4^4h(f+_nve!8*0ZHp~Rq0k^5eG86{Ov5Yr%T{D3 z=PpQ3NF##ZdC5T&kEo%9TO1;c(VR5EJ+iRzH7h;f0!!#wQX4neg9o2J=>xB*;LfL< zE;$EShJiaH_2J+J1)O0QYxtX%e&FI84w|T;iXt*dA&xCfjMTw1invA;n`VX3l=O}+ eTFBrE{(ADb?X9oI`c}DfvR()z8i9mo9R3Giqdo-y 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 a3d986d6f..8e1aaff4a 100644 --- a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py @@ -225,7 +225,7 @@ class Conformer(EncoderInterface): x += self.sigmoid(self.alpha[-2]) * layer_outputs[14] x += self.sigmoid(self.alpha[-3]) * layer_outputs[11] x += self.sigmoid(self.alpha[-4]) * layer_outputs[8] - #x += self.sigmoid(self.alpha[-5]) * layer_outputs[5] + x += self.sigmoid(self.alpha[-5]) * layer_outputs[5] #x += self.sigmoid(self.alpha[-6]) * layer_outputs[2] #x += self.sigmoid(self.alpha[2]) * layer_outputs[5] x = self.layer_norm(x)