From 41bfb30ce1ebce63bcc87b36b9c5d9bb2e850f73 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 24 Jan 2023 23:12:33 +0900
Subject: [PATCH] from local

---
 egs/LJSpeech/ASR/.run_adapter.sh.swp          | Bin 12288 -> 12288 bytes
 .../.train_adapter.py.swp                     | Bin 73728 -> 73728 bytes
 .../train_adapter.py                          |   5 +++--
 3 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/egs/LJSpeech/ASR/.run_adapter.sh.swp b/egs/LJSpeech/ASR/.run_adapter.sh.swp
index c6c953284c241d05eda815c61a798d63e9f256da..03da5dbd94421dffd8af79fb11bb4e4f05b9a6db 100644
GIT binary patch
delta 31
lcmZojXh;xCG6?hZRj|}EU;qLE28J0=&nE{w*(ml(9{`I-3Euz!

delta 31
lcmZojXh;xCG6?hZRj|}EU;qLE28LHp&L_Wkyix3xJ^+#Z3daBd

diff --git a/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index 391a87b57c58835ad1147966f88deffa3247eac3..f1434477b502bb23dc61539d80eba5fc20c4004f 100644
GIT binary patch
delta 303
zcmXxfF-t;W7{&4P<}ED^yyD;xaf#qY&{9q6?y9SZb3^3lB4~XBz11A84GJ&eCKp<o
zBG4cc`~>PyOD)k~$OFIUz_XoJ=(IwoS9DFqmRvj7-jsA>I7z7zxUUb*=a>|tgEN$n
z#}QKaib``#5a1H~*o83NknV7cHqLQ?#k$l*4aeBRlOr{d!wJ44D(fvG-J^y)a>ycy
z7=G8JPduWIQ|#e~8FTc}#d6j)R`L2DadTzt;c&-9J>vU*@G{ES>gd8r{6Dnppf~pH
I>^)uh1CIhV)&Kwi

delta 270
zcmWm9u}VT=07vovr&kj+=t5Yah~VbbP(w>&R|KtG#a9pnhrl6m5~1nN6}2Q7A$){`
zAkriuD3p-BKoPw_E_NDzXFtuc(;PefQ`eO3nQKRzX-Qo}wxqJ}&U+Wrh;)rQD#+mw
zDXcf7Uwq;Qm)JuVF?@%m2i)Nb=h(+8Bn{EP5#pFRQX3wQ5ye+fc|8TC7EVw^0U0FV
xB7{jm>cGPRVh~<fdB*?Jy?<NF3_hZ!W$eyt()f>yU0ZsqI(~ndwm<LN-XG*pG7SI#

diff --git a/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index b323e644d..bd5144f5d 100755
--- a/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/LJSpeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -1187,7 +1187,8 @@ 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,
@@ -1216,7 +1217,7 @@ 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: