From f6b4c61d992f09c1a359d135aa85ba3e2bd06a26 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 14 Feb 2023 18:02:48 +0900
Subject: [PATCH] from local

---
 egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 61440 -> 61440 bytes
 egs/tedlium2/ASR/conformer_ctc3/train.py      |  26 +++++++++++-------
 2 files changed, 16 insertions(+), 10 deletions(-)

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index 09fef4cf4bd26b9870d5f619361e6dcd2441eea6..9b802dc05a0de53df1c71dbd1df4e68fc9357ca2 100644
GIT binary patch
delta 462
zcmZ9{JxD@P6ae63YWlREin*x6-69lu2}VT*wUmM6)Kt9cr4WdQN<%*+Gzt-%p`jsB
z2gl+KEk#oW4e^HPN2A^z7_Jr4@!1ew__&;V&$;K^ysFQude^G35Q(y}fB>}Y02k2@
z>FCT=x9dW3)9$?LFPH$f&7I2-IuvPdzYjnp0_h<SR)8u=k|h!&!^B7)EdXV*L*|H^
z)Hr}!azn1kIVq47nI#tTLmj`#6R8qyg7%02a$VUq;YQGa2Qy}DMXYEaF`!cM$Y0M)
z=LFWZh8Q*@F5Ehq&=R9%zqS`^fxklDkjSq1wWL<X=W3U)r*iR(DCHzEna*aJFO1%b
zdoq#EFiNFcwiZui<01v(W?T}r^l|v#xa);56VOre=$IU<TXi`7;+79zb9&<<4^Tu-
y9poK0fF?zE?Gs*}QkQv51$(tm-XC)~|2~S1#sJ#hym(pS@U(2`?KDQ=Q~3qPm4Uqg

delta 239
zcmZp8z})bFSv1KY%+puFQqO<^2m}}yLVRB*8*dc7Ex@S1`J;gFe%|lw3=HQvAd>o%
z1urDWx$rPBhyw9*ZU%;(K->$&fj}$`#BaD581@121RzcUVhtdc0%A!Z<_6;XoD2+y
zfOrlN#{qEw5c>nMHW2>-+H#&_Gb77i_Q?e|1SVftBE5Op4F$%{pBH5@P1ah%vw6au
z5@yy|J_d$`lQ|!#^NH~@Fnj{?PJ=}FHZK&6=bPxjGI_zf#K{6?ER*@~$xN1g&&y~u
I+2H*J07#`gSO5S3

diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index 9ba5ca6b2..f6c1e4fd9 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -589,8 +589,8 @@ def compute_loss(
                 allow_truncate=params.subsampling_factor - 1,
             )
             
-            dense_fsa_vec2 = [
-                    k2.DenseFsaVec(
+            dense_fsa_vec_inter = [
+                k2.DenseFsaVec(
                     nnet_output[1][2],
                     supervision_segments,
                     allow_truncate=params.subsampling_factor - 1,
@@ -616,19 +616,25 @@ def compute_loss(
                     allow_truncate=params.subsampling_factor - 1,
                 )
             ]
-            ctc_loss = (1-params.interctc_weight)* k2.ctc_loss(
+
+            ctc_loss = k2.ctc_loss(
                 decoding_graph=decoding_graph,
                 dense_fsa_vec=dense_fsa_vec1,
                 output_beam=params.beam_size,
                 reduction=params.reduction,
                 use_double_scores=params.use_double_scores,
-            ) + params.interctc_weight * k2.ctc_loss(
-                decoding_graph=decoding_graph,
-                dense_fsa_vec=dense_fsa_vec2,
-                output_beam=params.beam_size,
-                reduction=params.reduction,
-                use_double_scores=params.use_double_scores,
-            )
+            ) 
+            
+            inter_ctc_loss = 0
+            for fsa in dense_fsa_vec_inter:
+                inter_ctc_loss += k2.ctc_loss(
+                    decoding_graph=decoding_graph,
+                    dense_fsa_vec=fsa,
+                    output_beam=params.beam_size,
+                    reduction=params.reduction,
+                    use_double_scores=params.use_double_scores,
+                ) 
+
 
         else:
             dense_fsa_vec = k2.DenseFsaVec(