From 8606c9a55d0eaebc1fec9fc67b59238ad38da134 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Fri, 17 Feb 2023 10:47:03 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc2/.train.py.swp          | Bin 65536 -> 65536 bytes
 egs/librispeech/ASR/conformer_ctc2/train.py   |  20 ++++--------------
 2 files changed, 4 insertions(+), 16 deletions(-)

diff --git a/egs/librispeech/ASR/conformer_ctc2/.train.py.swp b/egs/librispeech/ASR/conformer_ctc2/.train.py.swp
index 9e8e4b1da1c73023c99a24f30f28590036d8ed6f..a53d063f994ba1baeccf74718f21f91ffb8662ca 100644
GIT binary patch
delta 308
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zAYh;TQQ-RK6@oE(yib7K6eb`6)E2o}&>@>q$REfx1!7Ske#ywdu$po5fi~I63mjP|
zZ*X*)Ea1a3`P>psAfFA$7npo-iPYqYjv|w5T{tIedht#^mu)#Y)kA6X6(<8;z2kfg
z4F7=`WIQ{N0)gZF3=DICI3I}ffY=F$Re|_F-)6&ry?m1oH1bS7*TxUE&~S2nydERN
z<Okl;HVU>1d3mWN@%g1C1*Ij?2C)nZNFXy!p`@}PRRc+hrh=`lLP=>sPO8;pK_`pN
J|Kgbz005WBR`dV>

delta 239
zcmZo@U}<Pz5l=D*^Ym4))H7fJ0s#hw_ov<^*SDE(6o1Xn$Tyi;U@c?p<c$L2oNOR@
zAmE<-5y)eOa2Qx7Ulh1L`Q=8w%@+i<_%<o9DDVQ!U|7HiB!G<A&4Lcuj6y<83=GeJ
zLdSp@B(<7x@_{zl$qG)QlQ%52pS*ve+~iB~I+M@3OEOt8Ojh&~oqR6aa&oGN(&j5p
z2E0l_{0t0sKnyaG1#0nHAioiaQ^0bY9Rt?!O}vmb`9LGj<g-gmCp*OJO}6#tn0!87
NfAZUfGK&%x004C9K>+{&

diff --git a/egs/librispeech/ASR/conformer_ctc2/train.py b/egs/librispeech/ASR/conformer_ctc2/train.py
index 2c2ea6192..2534be386 100755
--- a/egs/librispeech/ASR/conformer_ctc2/train.py
+++ b/egs/librispeech/ASR/conformer_ctc2/train.py
@@ -677,22 +677,10 @@ def compute_loss(
 
             ctc_loss = (1-params.interctc_weight) * ctc_loss + params.interctc_weight * inter_ctc_loss
         
-        if not params.interctc and not params.condition and params.group_num > 0:
-            dense_fsa_vec = k2.DenseFsaVec(
-                nnet_output[0],
-                supervision_segments,
-                allow_truncate=params.subsampling_factor - 1,
-            )
-            
-            ctc_loss = k2.ctc_loss(
-                decoding_graph=decoding_graph,
-                dense_fsa_vec=dense_fsa_vec,
-                output_beam=params.beam_size,
-                reduction=params.reduction,
-                use_double_scores=params.use_double_scores,
-            ) 
-            
-        if not params.interctc and not params.condition and params.group_num == 0:
+        if not params.interctc and not params.condition:
+            if type(nnet_output) == tuple:
+                nnet_output = nnet_output[0]
+
             dense_fsa_vec = k2.DenseFsaVec(
                 nnet_output,
                 supervision_segments,