From 9d14499900dd280cb74bf864c2ef69683f9adc15 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 26 Jan 2023 11:09:33 +0900
Subject: [PATCH] from local

---
 .../.train_adapter.py.swp                     | Bin 77824 -> 77824 bytes
 .../train_adapter.py                          |   7 +++++--
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index 039f731407ab1ee7d5ea5e1725ab1162b6278be0..bbe0b75363c6d63f8ae4cbef1fbd763bfa3b2e13 100644
GIT binary patch
delta 602
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z)!{`?+aWKjLuC#0R)?}{E&?xE%RvyNStJP^>|5dwKF{yDK0Kv{v(#`d?RXu9+7GX9
zxR`KA@fJxPQi1xH&EwK%JVyaHaSpvWjR<^j;L9<oj+c0hMLd9s6KHy*kEo!GtLTI9
zu3bgd+oh*S!o)D*2*bcmoAee>a2Jyp!w^nF*l<g4P{SiU#5Atp0utzf7kh@Zj%Can
zMJda232_XdAAWQ}_~4RO@fxpC#R8^q8KZE+z<#Ur6IIM%5@#@oApF=pD*eI>+$%E1
zaRcWOK^WUdq%ExAJ}e|*B8o12b8<BnF^d_D;v%B>%3GVL;1)*k|JB@em}j424%>6b
zRr8!pwb|dVm2K;HAdsHOn<*=AWwKT(otrqNAPIFJlzrQb8KHd6x;}2EGPd=nv-aNX
GS^Ep&EMhGH

delta 527
zcmWmBO(??w9LDiy8Qbj5a?xB|a8XJjWaXgD&2|yWRvf79Vh&zvYh_9y%`QqIhs{a-
z3%SmbnhQ>hvICdR!5oOMUwxkEx&IPHbE0TIEqhEcqvC1w#rI57szy?S6r=v{#VtL<
zz!DY^#S})-2`{YpbV=`cLl(2>Ks!oK=@my<h9AxF;>#iB9EvN;SVsyG1ki^jRPE9o
z@;JsC=HW*h-1x4SK2X6m4zZ0bEMfvfXu+>ddc+0xk+Q|5RmKX!2*Hn5xZs2XWvldr
zD;yw$AOaY{0Lm8W7I|zSfjNZX!yqiUuanMkhRqowiU@kq1L2`oIzbLuBoRV4+;}%j
r1>7KmT_n+k4wQK5CDKS4l`+3*r#PN=CauPB@W-C+uTC1JX>Z{Vxi?l=

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index 5194ff3fb..92611394c 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -1589,8 +1589,11 @@ def run_adapter(rank, world_size, args, wb=None):
     
     sampler_state_dict = None
 
-    train_dl = librispeech.train_dataloaders(
-        train_cuts, sampler_state_dict=sampler_state_dict
+    #train_dl = librispeech.train_dataloaders(
+    #    train_cuts, sampler_state_dict=sampler_state_dict
+    #)
+    train_dl = librispeech.test_dataloaders(
+        train_cuts
     )
     
     print('\n'*5)