From e3ef194d43935544001c8e0ccccf894cd8bd3191 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 15 Feb 2023 15:13:10 +0900
Subject: [PATCH] from local

---
 egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 69632 -> 69632 bytes
 egs/tedlium2/ASR/conformer_ctc3/train.py      |  25 +++++++-----------
 2 files changed, 10 insertions(+), 15 deletions(-)

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index 7280dd93b403607803f7852ec5fb374ec9273fb5..38d121c97578d8468bf4a252d421441bfe672503 100644
GIT binary patch
delta 434
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delta 416
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diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index 0e7e74d2b..819d55aa2 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -653,6 +653,14 @@ def compute_loss(
                 for i in [2,5,8,11,14]
             ]
             
+            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,
+            ) 
+            
             inter_ctc_loss = 0
             for fsa_vec_inter in dense_fsa_vec_inter:
                 inter_ctc_loss += k2.ctc_loss(
@@ -663,21 +671,8 @@ def compute_loss(
                     use_double_scores=params.use_double_scores,
                 )
 
-
-            ctc_loss = (1-params.interctc_weight) * 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,
-            ) + params.interctc_weight * k2.ctc_loss(
-                decoding_graph=decoding_graph,
-                dense_fsa_vec=dense_fsa_vec_inter,
-                output_beam=params.beam_size,
-                reduction=params.reduction,
-                use_double_scores=params.use_double_scores,
-            )
-        
+            ctc_loss = (1-params.interctc_weight) * ctc_loss
+                            + params.interctc_weight * inter_ctc_weight
         else:
             dense_fsa_vec = k2.DenseFsaVec(
                 nnet_output,