From f08b07d1528fd1e4c682e42b3840eea4bb69c28a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 3 Jan 2023 14:04:01 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 bytes
 .../.decode.py.swp                            | Bin 40960 -> 40960 bytes
 .../data2vec_audio.py                         |   4 ++--
 3 files changed, 2 insertions(+), 2 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 65980af0bd5c77cb10eed3f086da23b353817aee..ebb49b06a38f7cfb3a979917580aaa18f8faf74b 100644
GIT binary patch
delta 364
zcmWN@Jxc-s0LS5f=Ub<B6*$y-BAf_8pFmtf$Eb#eBB7(fA%Yyka|j%bYfdV2a8ho|
zh8motBB-Uwu?YMEhV~mCc)XF}jf`%%5$T2`$2S|<>aQiWae#d!@wq7VP(dCk*cdNJ
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zp@|wixY)rqQh1L^7bsx`v#9in7j#g;Su`i@k{mK{VBs$!P4I<B^l^teTpS?}Cpf(v
XgaXShn{ylf&GnW)%%+3Y=J)bHG2%Pp

delta 372
zcmWN@Jxc-s0Eh8^n%3o6;!>lRbO{%I1G%M_xf&V@1&_uCa|}8maMo^4dxa(oZpnrk
zq9H7TS{&Vs=nE7HJ;RUZsrDn)e&lAf9&1M>J22{w|1~LHVjEjX<0C0uqXHKeGWa&7
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z$1!{yz{5J$VBu{{Iz$mu7{;X+ba90W_TsLz!Q?Ry8zz2Z(hqvLLkFj*!9xiy?6BN;
ciiWA#MI&f8t)SrK=<-N5=sI)ZOzSiC527hPJpcdz

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp
index a03c5b4bb3815adbd2da1ab44b3c9794ffb2b3a5..9113d5f15272e15623379a2c7c6f951a3a99b6b0 100644
GIT binary patch
delta 33
ncmZoTz|?SnNi4}A%+puFQqO<^2m}}yc5dFByd`6!*sJ*fq(chM

delta 33
ncmZoTz|?SnNi4}A%+puFQqO<^2m}}y3RZ1S&J5lt_G&%=p6v=8

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 51a681b65..02ed5bbff 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
@@ -41,9 +41,9 @@ class TransformerEncoderAdapter(TransformerEncoder):
         super().__init__(args)
         self.adapters = ResidualAdapterModule()
 
-        #for p in self.adapters.parameters():
+        for p in self.adapters.parameters():
         #    p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
-        #    p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/50.)
+            p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/10.)
 
     def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):
         x, layer_results = self.extract_features_with_adapter(