From 6de3d65cb45b1a19993131b49319c236d2f14e86 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 14 Feb 2023 23:26:00 +0900
Subject: [PATCH] from local

---
 egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 57344 -> 57344 bytes
 egs/tedlium2/ASR/conformer_ctc3/train.py      |  30 +++++++++---------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index 37ea317bb70dad7612e042f4595f2f2ecd12294d..607684323666ac4073471013593b7898b87839bb 100644
GIT binary patch
delta 458
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q6wSCOw34|<Gnr2w7@JW)?KW9Y{=SIEygwID|8B41Y_rNhW%V1LY+>2}

delta 376
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diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index 74490021a..4f3beb587 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -660,31 +660,31 @@ def compute_loss(
             )
             
             dense_fsa_vec_inter = [
-                k2.DenseFsaVec(
-                    nnet_output[1][2],
-                    supervision_segments,
-                    allow_truncate=params.subsampling_factor - 1,
-                ),
+                #k2.DenseFsaVec(
+                #    nnet_output[1][2],
+                #    supervision_segments,
+                #    allow_truncate=params.subsampling_factor - 1,
+                #),
                 k2.DenseFsaVec(
                     nnet_output[1][5],
                     supervision_segments,
                     allow_truncate=params.subsampling_factor - 1,
                 ),
-                k2.DenseFsaVec(
-                    nnet_output[1][8],
-                    supervision_segments,
-                    allow_truncate=params.subsampling_factor - 1,
-                ),
+                #k2.DenseFsaVec(
+                #    nnet_output[1][8],
+                #    supervision_segments,
+                #    allow_truncate=params.subsampling_factor - 1,
+                #),
                 k2.DenseFsaVec(
                     nnet_output[1][11],
                     supervision_segments,
                     allow_truncate=params.subsampling_factor - 1,
                 ),
-                k2.DenseFsaVec(
-                    nnet_output[1][14],
-                    supervision_segments,
-                    allow_truncate=params.subsampling_factor - 1,
-                )
+                #k2.DenseFsaVec(
+                #    nnet_output[1][14],
+                #    supervision_segments,
+                #    allow_truncate=params.subsampling_factor - 1,
+                #)
             ]
 
             ctc_loss = k2.ctc_loss(