From 81d533d29ddde06ee137879e7a979ac9b837a906 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Thu, 25 May 2023 01:05:38 +0900 Subject: [PATCH] from local --- .../.data2vec_audio.py.swp | Bin 45056 -> 45056 bytes .../data2vec_audio.py | 8 ++++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp index 7c9c27576a79aa26b2a0d02f1041ad6f9db1cfcc..f7045b7e4567ae5a41af3dfc19102cfbdb91ba31 100644 GIT binary patch delta 439 zcmX}ou}eZx9L4dUlKNhz28DqxMz}PD5K2MuoC;qQ4N-##6|UJIknkL8s1SoYDh(|S zQC6>Vuq~8=sHUJviRKntg}xzl-~(s5_i|66?JTsN!OhreYB4fB5fd^fQi|uYXVz8l z+i)G~B59>3YkIw3q=>ZrlswYCk^hXTRw|_O=7{o}nwm3*R298GY`4s)%SyXN%AVfk zslP|aTR`L$$Jj;=D@Y&=!KYv35jEW57DenKj(4BP3+{1&18iXl1`-JS#F7xDJ0S9d zDoV&;0a0|kB6U=d#Uw@%L5EK(>|+-h7#K&FdA`s@12?d7jZ@^Yqfc>&qQQv|P2>TW in8yqf2;iBOnrNWxu^oLIZo9HJt2ufrpPRmu_2pmI!%(FF delta 421 zcmXBQKS%-r6vy#*mVd6Yguoyr%D^QEhwy5!Zp@>or2+{Bsj+NxF?FdyA%trPGFsbG zt}>#wP#mI~f`$;HwIy4nZ}{K?zvcbly?o1-Z`r)b(0X)vd~P}Z7u6n;0 z>;+XMW~zEkz3USxB4#!9lB%T5R3czzjS*$ioHu-C#Tf1;>%$1zbDIv4va?$k{jX(S zheTd*jybS-gEL>n88FiK=f{GrzyF?yQ#Udim e;K37LYM_p?(^7hq4(oIy;xf~TQR^q+Ui|~_E=+^~ diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py index 94216d35a..c269d9db8 100644 --- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py @@ -162,10 +162,10 @@ class LoRAModule(nn.Module): self.reset_parameters() def reset_parameters(self): - #nn.init.zeros_(self.lora_B.weight.data) - #nn.init.zeros_(self.lora_B.bias.data) - nn.init.normal_(self.lora_B.weight.data) - nn.init.normal_(self.lora_B.bias.data) + nn.init.zeros_(self.lora_B.weight.data) + nn.init.zeros_(self.lora_B.bias.data) + #nn.init.normal_(self.lora_B.weight.data) + #nn.init.normal_(self.lora_B.bias.data) nn.init.normal_(self.lora_A.weight.data) nn.init.normal_(self.lora_A.bias.data)