From 294fc81346ab03782131073bc7ab4429dcf06d95 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 14 Mar 2023 17:24:48 +0900
Subject: [PATCH] from local

---
 .../.train_adapter.py.swp                     | Bin 73728 -> 73728 bytes
 .../train_adapter.py                          |  22 ++++--------------
 2 files changed, 5 insertions(+), 17 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 ae0c04548282a8a251fa368e007ed02c8b7561e7..8b89848cdb904e76c055b147708242c31931aab2 100644
GIT binary patch
delta 64
zcmZoTz|wGlWy5=BMuyEFn5WnX{^e$1I1I#lfw&)tt2a+|c+53<pSKtrg8~pJPoC(l
PJ6)HJF@Ljx&xOkXvgj1v

delta 81
zcmZoTz|wGlWy5=B#?Z|ln5WnX{^4d|I0(eMfVdZkt2R${c+55VRwUQt)81T@|9Hzz
hUgIswp{&WE00hdDk9%89p6o3-`GPO&W;vfnmjRqv9VY+)

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 efeeb7279..b47ec2b61 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
@@ -1586,18 +1586,6 @@ def run_adapter(rank, world_size, args, wb=None):
     #train_cuts = librispeech.test_clean_user(option='big')
     train_cuts = librispeech.vox_cuts(option=params.spk_id)
     
-    '''
-    with open(f'/workspace/icefall/egs/librispeech/ASR/{params.spk_id}.pl', 'r') as pl_texts:
-        pl_texts = pl_texts.readlines()
-
-        pl = {}
-        for text in pl_texts:
-            text = text.strip().split()
-            pl[text[0]] = ' '.join(text[1:])
-    
-    pl_texts = pl
-    '''
-
     def remove_short_and_long_utt(c: Cut):
         return 1.0 <= c.duration <= 20.0
 
@@ -1605,12 +1593,12 @@ 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.test_dataloaders(
-        train_cuts
+    train_dl = librispeech.train_dataloaders(
+        train_cuts, sampler_state_dict=sampler_state_dict
     )
+    #train_dl = librispeech.test_dataloaders(
+    #    train_cuts
+    #)
     
     '''
     print('\n'*5)