From 0ce1bce244fc7959a7f4f164490a389bcf38121f Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 3 Jan 2023 17:05:38 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 bytes
 .../data2vec_audio.py                         |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

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 a2f694473d00653a39307e56fd9d5637f6aec2f4..a9f1a7db4237c864e0992f4b6feae1044a941760 100644
GIT binary patch
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delta 390
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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 a6cc1006d..ad7ba0400 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
@@ -42,7 +42,7 @@ class TransformerEncoderAdapter(TransformerEncoder):
         self.adapters = ResidualAdapterModule()
 
         for p in self.adapters.parameters():
-            p.data /= 10
+            p.data /= 10.
         #p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
         #p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/20.)