From 2959e483494ada892b88a9ce962e42e43c8d58dd Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 3 Jan 2023 13:09:20 +0900
Subject: [PATCH] from local

---
 .../.asr_datamodule.py.swp                    | Bin 32768 -> 32768 bytes
 .../.decode.py.swp                            | Bin 40960 -> 40960 bytes
 .../decode.py                                 |   2 +-
 3 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.asr_datamodule.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.asr_datamodule.py.swp
index 1c4680b88e491827d276dba8a3648b30ae55cb16..d275d0e0adaad118524e51b63152d6b9f843f507 100644
GIT binary patch
delta 32
mcmZo@U}|V!5=}A)^Ym4))H7fJ0s#hw`ztpm@82l;x*h<GX9?^8

delta 32
mcmZo@U}|V!5=}A)^Ym4))H7fJ0s#hw+bcIGPuwW_x*h<FT?x7X

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 5ebf8e453d561f11037ff0617229d7dc8bbd0e14..0d3c990fed4f373c11713c4549b7d3c464b5096e 100644
GIT binary patch
delta 187
zcmWN@tqQ_m07l{0IoXdv!Jlk1SXMR!K``017^WcDY+5uqQ1Aj~GiWvmU$E{5Tr*hg
zUWJ|m51b^klFYi>L8<9TQR)T9-K#8}FvbW~<i7O86>F?8L<bGj@$sYwE;wL`2}1Y~
pey;RIjvMyaVuKl`t}2R|0V0I1DcCh9P3E5Ich5z;MdsaWFa8b)9s&RW

delta 182
zcmWN}ArFE;96<5EaE?PaC<b+QqeMBfiLS*U&TiA9^BQ)Fn^CiKyJ+DnXrtQw4!-c)
zUV66nZ0$W&(jEpPrV5kt)O1BISYVDGJ{^%a?$~3891{%C$2Syt;f6D|SRzFP1s^}n
i4-b?$;(#>@EwQYK84ObGT51$jwouMYufA)t@#YV8uN@Zv

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
index 0103ba567..e8dedf79f 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
@@ -771,7 +771,7 @@ def main():
     # we need cut ids to display recognition results.
     args.return_cuts = True
     librispeech = LibriSpeechAsrDataModule(args)
-
+    
     test_clean_cuts = librispeech.test_clean_cuts(option='male')
     test_other_cuts = librispeech.test_other_cuts(option='male')