From b77772f4b1abf21ed1edd5f17a096a90d7ca2c1d Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 25 Jan 2023 16:48:43 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.run_adapter.sh.swp       | Bin 12288 -> 12288 bytes
 .../.train_adapter.py.swp                     | Bin 81920 -> 81920 bytes
 .../train_adapter.py                          |   5 +++--
 3 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/.run_adapter.sh.swp b/egs/librispeech/ASR/.run_adapter.sh.swp
index b87d9da06e099a04784873545590bd8b33d1b105..cf49f8583ac4b3d287c6dc1c50eb6368afde8d6c 100644
GIT binary patch
delta 32
mcmZojXh;xGG6?hZRj|}EU;qLE28LbtE+mT`RN5&1QXc@4-U-0~

delta 32
mcmZojXh;xGG6?hZRj|}EU;qLE28IVNdy<tscsGi_)CT~H<OsL`

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 396e4f8743ddc4f5cd245d430b3ba5370b9a0061..7ec946466e6b7132721add1bebd25bd4eb8bc251 100644
GIT binary patch
delta 287
zcmXZXF-rmg7{>AE)w?`H!Hb5b5D~7WMTH>!22JhK+z^?QOW^epR8DaVR|yXyZVg<V
z+MI+wK|1J?OY{$V;rBf7Y;PF4Vd%yWzBOOl{$P{ON{WmqNX^K%X?NjC@95(e*J$7z
zN7!YgHC7nl31yr@_&kuFF+>k{IK#%3W@w>;L(CoN5p`7Yoz|6>X=#EM8mQwE1$g*L
zNn5<3gBnWM^TrwpW{4~qo4uqmMJ@<}(T8Iv$&F+8PVRrwUytIf6_YQ|jxT-zmvAoc

delta 269
zcmWm9F-t;W97o~bU+-H+23?R4gb>`C8jNUZR1s8g6~BTQI0Oz}nj&x#amuizKoLRY
z4sA^lf*+$0ajzv$!*li%1TF~Ntm#{Ae&hGHM`=l~MvkRg-?wpR8Iy)+p^gHsaEiZu
z=?7nULKo*aLmcZpX@X}w;ucx_I_V8<T;l{QPr64QIUM3Us-hNA=?)c?Q9=eO_;C1$
rNDs*40&xhRti0oY>7_RsWx~GMFfy1rONLd?8s1=bVCirZv&7{NmuM^+

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 d0e93ef11..15d8222f1 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
@@ -1188,7 +1188,8 @@ def train_one_epoch(
                 wb.log({"train/simple_loss": loss_info["simple_loss"]*numel})
                 wb.log({"train/pruned_loss": loss_info["pruned_loss"]*numel})
                 wb.log({"train/ctc_loss": loss_info["ctc_loss"]*numel})
-
+    
+    '''
     logging.info("Computing validation loss")
     valid_info = compute_validation_loss(
         params=params,
@@ -1217,7 +1218,7 @@ def train_one_epoch(
         wb.log({"valid/simple_loss": valid_info["simple_loss"]*numel})
         wb.log({"valid/pruned_loss": valid_info["pruned_loss"]*numel})
         wb.log({"valid/ctc_loss": valid_info["ctc_loss"]*numel})
-
+    '''
     loss_value = tot_loss["loss"] / tot_loss["utterances"]
     params.train_loss = loss_value
     if params.train_loss < params.best_train_loss: