From b334bf5d0d868c120fd4a65c685f379723be140a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 24 May 2023 12:44:56 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 bytes
 .../.train_lora.py.swp                        | Bin 81920 -> 81920 bytes
 .../data2vec_audio.py                         |   6 +++---
 3 files changed, 3 insertions(+), 3 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 30b68c46cbe9c1376df5231c7e45e1a1aa92d8f1..855052f585ba4eebe35ce474dd222c152206bca1 100644
GIT binary patch
delta 90
zcmZp8z|`=7X#<M`t1u@6!|%zQ4u?hCxfmESf!Gg-je%Gch<|T>=<ttYGM5$~Uxk8}
i0u%t5ldpUFPd4<DX4a_Coa~^aJh|3Oc=J53q*MSX9~fHz

delta 106
zcmZp8z|`=7X#<M`>w69chU=3#9S)0DaxpMO1F<O(^8@imPN2-@hYtTZCNq1v^G4?+
uR;CukXQoudYE(=%^pfCrL=n=Q?4YDPx!X&4@?2LgmI_;4!_D)&l2QT3vLU+w

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp
index 8d48df33c2f7cfc081142a7278bc13e0fcf262cc..0fbbb1aeb55a3f0d9c6bf3c5c6e1143fd91eec92 100644
GIT binary patch
delta 137
zcmZo@U~On%6-_b-^Ym4))H7fJ0s#hw>+QKI#T!L$F*Am4{=l5T!zi#hP++q@uQM+L
z!+anHsS%hg=wQzK1IT+1#P2{dn?oJEc$rgD(<bY`6`Op=*IY#b3K(FFf}+g45{=Bf
Vg3=Pb;>@a44Nc9>!hUZ*0sww0C5!+7

delta 110
zcmZo@U~On%6-_b-^Ym4))H7fJ0s#hwtL?cd`5Q%VF*7o3{=l5T!^pomP++q@Z#FLj
z!(ku>so|e2=wQw(%*VhW1jHcGC7VMXym%+ij1%WgNl8spC{8Vj2ho$~`vz<l_Ivvg
E0NMi`$p8QV

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 0d36fe0b7..b6997faac 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
@@ -165,10 +165,10 @@ class LoRAModule(nn.Module):
         nn.init.zeros_(self.lora_B)
         nn.init_normal_(self.lora_A)
 
-    def forward(self, x, layer_idx=-1):
+    def forward(self, x):
         x = x.transpose(0, 1)
-        x = self.lora_A[layer_idx](x)
-        x = self.lora_B[layer_idx](x)
+        x = self.lora_A(x)
+        x = self.lora_B(x)
         x = x.transpose(0, 1)
         x *= self.scaling
         return x