From 3331a10964c21b31abe82f209586bec1fe8dcca5 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 26 Jan 2023 11:20:25 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.test.sh.swp              | Bin 12288 -> 12288 bytes
 .../.decode.py.swp                            | Bin 45056 -> 45056 bytes
 .../decode.py                                 |  14 +++-----------
 3 files changed, 3 insertions(+), 11 deletions(-)

diff --git a/egs/librispeech/ASR/.test.sh.swp b/egs/librispeech/ASR/.test.sh.swp
index e9c53bd4d26363d37a049e9cb83f516e37572f0b..44823657c9fe9ab488b02d43bc45c5551b14a0d4 100644
GIT binary patch
delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE28KV6E+%(x6n(7^0E9jXm;e9(

delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE28N%HE+%Je6n(7^0E2W1asU7T

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 92e3f08e24614d404d5196f0099c565ade60c14f..67da2e57f58dd49c2ccd0bcb14e4cfd569bd90fc 100644
GIT binary patch
delta 561
zcmXxgO(;ZR6vpvm+%bc}T+u9ynJaP0M>CQI7Cxpa2`gC$AtQ;zLMe>}D`oSRjY5e+
zlaITxnvE63f(08TVx^F>P~?9XbL!W57pLCmoTW#{(xc<}!<!aWpWa|v$kO$%K+d%$
z;>ZvYuSitsp{;mnmPip^GDVWu!zyMmgl6b);m$2Ghe8zK&n5DNQ=DKObLc`b{J7`0
z1I(ivVT6zclBCOz)2a(!XlgLwvjPp7n#-U}(^ReX5i8cXITp8LG!fAb9irKFnJ2P?
zRm`9d5tQINSL6-PxWXycFpdHAA{{3=BFE@Q2AsI@i0on;v*__iTmn44ve_SJ*uXLd
zPzwV=IPpr*BotP#h*6AS7*W{EG@=RxcxS<LtYZP4Xh$1FET`7u*6phpQ^OO}sjeQv
zCj6*DHOk=grUoi1Wg=z_8P-F%TvOkZ`RZ`rR0oL;w>@E(`keHs-{~q<c69p>pi^g?

delta 669
zcmZ|L-%C?r9LMqRw$pOc>6Tci*p37~XAt6cF*6h`8RSh~M(H4s18yS=6O1l8gW;WC
zor@x&AaArV#1m2%iFgs@pAd{jKW>LZF9L6TKPp&J54?EJkMG0x`+SNOf3f0U+l~4%
zZY>)3^?9+_-o?mIL!>1rB2kfy8|!)LsIW*aB(j5bJjD|fa04A^#`iiA2c0kxM)j=7
zCO+a79Nb0%7Jkra10~$S0QzwrdWvvR0x}--QpwLon^H<l*2#YKtlv%XLg{mcr>>T5
zXPB<TOrz)TW7F$blgKs}QNkof(T`SC8<_;}@C*eEq74D;M@05e#x`DH7WZHyi+X%$
z5J%oOh)kdn5qzl^S;aCQ;}*JbK&)S}g(b|xMj94$>=9JC%qJ{j0dvsN=aIur=nG$m
zh<C;qs&lI=UEbZ-J|jR>Zmn>^&7_q3{OyPve-m=-N4Xg*ahe_hUV1Q{o0_qd`uAs3
wb?5KrrmSiE;aDo0__OHvsQ%THy=<!AYm<N1>OSo>`d_tM=}mawu3YmS0=U<EP5=M^

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 9eb0144c9..2e7c4aaf5 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
@@ -784,7 +784,8 @@ def main():
 
     test_sets = [f"test-clean_sampling", f"test-other_sampling"]
     test_dl = [test_clean_dl, test_other_dl]
-
+    
+    '''
     for test_set, test_dl in zip(test_sets, test_dl):
         results_dict = decode_dataset(
             dl=test_dl,
@@ -814,7 +815,6 @@ def main():
             new_line += '\n'
 
             new_jsons.write(new_line)
-
     '''
     for test_set, test_dl in zip(test_sets, test_dl):
         results_dict = decode_dataset(
@@ -825,21 +825,13 @@ def main():
             word_table=word_table,
             decoding_graph=decoding_graph,
         )
-        results = results_dict['greedy_search']
-        for res in results:
-            #print(res[0], ' '.join(res[1]))
-            print(res[0], ' '.join(res[1]))
-            #print(' '.join(res[2]))
-            #print('')
-        exit()
-
+        
         save_results(
             params=params,
             test_set_name=test_set,
             results_dict=results_dict,
         )
     '''
-    '''
     test_clean_cuts, test_clean_sets = librispeech.test_clean_cuts(option='user')
     test_other_cuts, test_other_sets = librispeech.test_other_cuts(option='user')