From 8b5629b55c0e1c6be158a2f7a1174573feefc29a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Fri, 26 May 2023 12:16:39 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.lora.sh.swp              | Bin 12288 -> 12288 bytes
 .../.data2vec_audio.py.swp                    | Bin 40960 -> 45056 bytes
 .../data2vec_audio.py                         |   8 ++++----
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/egs/librispeech/ASR/.lora.sh.swp b/egs/librispeech/ASR/.lora.sh.swp
index 48114270640733d2b983c5e88b32a0da3ce42b85..5e9a6ee19e04e34e5690165e8f529592a9ab5627 100644
GIT binary patch
delta 31
lcmZojXh;xCG6?hZRj|}EU;qLE28KA5f|P&08^vDf0|0<(2%P``

delta 31
lcmZojXh;xCG6?hZRj|}EU;qLE28KB^^HX9(H;TQ|2LOTx2z3Ae

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 348b8271849cd9d3b06b1657831cca30acac0288..ccfae82a5be0c5e19ef72354aab4ef7a633a22af 100644
GIT binary patch
delta 474
zcmYMwKS)AR6vy%N%$L2=d=6pQBE0Ai{ejvtq9t0QqQ67YP#6sn*bp?O(G~>arJ;v|
zO>PyvsTvZ@p)skJAetJ27NI7GzNXQE59b~(_rU!na<0Ui>%wJfhN?6Bv>r8J1_O;!
zt%+LCIzwjGe;Ibid?iEVx^i!d^r%4cT(3-rP9a$^jBu?imA5<pCns-@=<(I4NJ$ro
zc&e}emOuDKGT258qcGveSF^}7Zjiw~Hn4~V%%d0Wc=U<vU<=EbL^r(n^h#V_y&_Mz
z#ud^~m_k3wO(Gw-Lkde6MjeWLGKX8FFo-T#C=<ym?vcg;))B=VW-()oiHvh-LkQ&t
zkt|NJi#1H+opfICgfnbn9Z^I)j^_T>>#HfNm7`Y2Oj!-8coI@mcFS+yvxAzYj_r;g
DUqDmQ

delta 83
zcmZp8z|?SnX#<l0BgbTB0bRzj$%X>rn==Gv@K1c8ut|ZXfR_OXzAyp_0S1P$$$}Hs
nv+m|%VCda^biz^2$>-K{PrkKYZSsQk0+S!D7v6ktmJ%xfAbcFY

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 5521c56c8..73efd17d2 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)