From cddeef92c5941791d415e5efb636a2e04b028336 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 25 Jan 2023 15:59:33 +0900
Subject: [PATCH] from local

---
 .../.decode.py.swp                            | Bin 40960 -> 45056 bytes
 .../decode.py                                 |  16 +++++++++++++++-
 2 files changed, 15 insertions(+), 1 deletion(-)

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 71b38efcb444dc4b1cc6a26b18ebd12078ea3929..429a25d2b7790aef7282b2dc1920388b9d029fbe 100644
GIT binary patch
delta 698
zcmZwFPe>GD7{~Evc4k{wn{igu#UdLL96J<Cxw%3Ts1OAj7!;I2rHgK>7fWQjtPnwm
z4D78Gq%ILk&_a!ex~(39=+H_h1*t=Xmlc)-!wCHj+N}pZy#L{Sf4t-Q!1(t-&CS@Q
zb6rmB@t9Dy$ic6LzN>F*ij`Ve>2^_TRwX-HRqn4+t-Fmly0>NjwB9*}ZN3hPJS$^?
z)6FUp`;whv<j<tgiDRfoHHz&1gdC>PjS~oBd7sEUp5qZFFos?v5J3prL6J?o!bSAp
zuOTvrSwjZo4xO`TM>R^iNFGm-!4<Tj5!(Tg0v54=Sv<gX#NpyFf-s<CO%qwwCYPe#
z=*c5S$e~=<Ri$*)%e9=>)Y9Wxm1}8GTWL!bp40|MlD9{P_GYcUHWK!a`E^tsN@P?j
z5%)eP;se<m{URMC)e+v!^k3$`E4d_Qa1VpHfYYeMx+U@h^O!~&XK(;IHcXLUSj8e<
zU<|`Z;u<PU$;yZQBJa@$3no@7MBZQycX1hw_`}cmhCE*4A(A+SCb%%M&SO4e1{1iC
bG;Se<Zuk#w4||%?S*AJvOEwcQh*@?3(Mx*{

delta 290
zcmXBOF-QV&9L4e9-#haLv%5ju>Tn7oI|&LSxt0cp)~FVtD57TPZf%PAQ%2d+ngsSA
z+N#w-G$M#V6xxa#Y-;QaJ@~*I-teMfB6?0_w}bV{nqMjeLR^vLYj3C6%ElAQ(Uu#l
zsvfyHGwr=+PKW-zZ@c4tB~r8g*H!HW-J^3y<N&KEU<#9P5T``ixWNVLI6)cTV<KNT
z!wN#AF-VGhpowE_U=|*JY>_uSqK<uA=4Feri4Z=1x!1uH9&n8Yt`MPSwO&4z=@;|1
b9v$ZNU@>E67M7Li+|4Q7ybaCX(&g?Sf3iJQ

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 6db0f4f65..51f0f4ccd 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
@@ -785,6 +785,20 @@ def main():
     test_sets = [f"test-clean-{option}", f"test-other-{option}"]
     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,
+            params=params,
+            model=model,
+            sp=sp,
+            word_table=word_table,
+            decoding_graph=decoding_graph,
+        )
+        results = results_dict['greedy_search']
+        for res in results:
+            print(res[0], ' '.join(res[1]))
+
+    '''
     for test_set, test_dl in zip(test_sets, test_dl):
         results_dict = decode_dataset(
             dl=test_dl,
@@ -807,7 +821,7 @@ def main():
             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')