From b878e5d6c166db65b5783a81731bce1f377b645a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 25 May 2023 17:24:43 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 bytes
 .../.train_lora.py.swp                        | Bin 86016 -> 86016 bytes
 .../data2vec_audio.py                         |   8 ++++----
 3 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 39cbad9d7e43b5dd2c9025fd248fd108e30b0023..faab12e2bd0ff51c3bb0e08221674aea9eec1d6f 100644
GIT binary patch
delta 397
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z4t0E^fjVw*4TB5pV#l80h+v}!A93jkSC~T<86@ybOAXXfjTtMv7PUsr=}I=<ZP@%2
GoTWd!#YUe1

delta 410
zcmXZYKTAS!6vpw#n}6=L)Sw~I#fTbOC20thhQb>}Lz_qit<?)i(4mG3Y4}ZHG_*98
z(ybh93#A~kDQGE)-hr(`->3s0&a<51Jms!c?pk$!HgM=jdE;aoPBSc3koO+5$Bva8
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N-(S-gZscrj`3JLQN_+qS

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 1a93cba027ef1eba6a7bf02975e33b205f9c0d0a..ca4dc910d1cdf1d786fd0e5e933e8c1aa48bf82d 100644
GIT binary patch
delta 36
qcmZozz}m2YRV>LM%+puFQqO<^2m}}y<fZddGVeBuZ53mD<qrU<>Iszq

delta 36
qcmZozz}m2YRV>LM%+puFQqO<^2m}}yu88NSxZQ3P+bYKR${zr+pb8-X

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 c269d9db8..94216d35a 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)