From 5f55c894f8138ce4aff3280e2d1cc47c2343e7a6 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 15 Feb 2023 15:09:32 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc3/.conformer.py.swp      | Bin 61440 -> 61440 bytes
 egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 69632 -> 69632 bytes
 egs/tedlium2/ASR/conformer_ctc3/train.py      |  13 ++++++++-----
 3 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp
index 162512a246de4b2826b6e8aa78c01e5053845912..a09a8558ce4ab0d6e5cb24ffd521b0538f6527f2 100644
GIT binary patch
delta 33
ncmZp8z})bFSuDvQ%+puFQqO<^2m}}y#LC_zFUs5~_Ub(VrA!K_

delta 33
ncmZp8z})bFSuDvQ%+puFQqO<^2m}}ymKD88ev`gY?A3b!ta=N4

diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index a03356c02645e9f542162da66588865d88485649..257fe80899c6ce39f377c59b059d22cfbed1aca4 100644
GIT binary patch
delta 129
zcmZozz|ydQWy1ymM(52N1%m5&*;yGF^w}5~7z7v?oF@xT_$;f+&cMJ5#P@)rTY$I-
zh!cR=7KrsXD^C2vGPz*3++>4vj>$E%`NY!lixe^yGV>IojdV<PEOZPFbqq~nC;Kl^
bpS)n2-Q<F~xszqzKc1X7m1DEaj3?y)CUhmg

delta 137
zcmZozz|ydQWy1ymMu*KC1%m5&(^wf8n%Ec^7z7v?93~4+_$({V&cN^mC~^*nCjc=>
z7DW33vE^pPiC<VIm&_BM^j>yyz#NvzbyJlmC;U;GTrf>&a>Dz9$^WJaPk!*8ce34d
k&dDq@Bqnc|!ZNvce(~f5|D`9Ne{VQBZz{)TnHf*Y0X4HRssI20

diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index c04e7e690..7d571541e 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -644,11 +644,14 @@ def compute_loss(
                 allow_truncate=params.subsampling_factor - 1,
             )
             
-            dense_fsa_vec_inter = k2.DenseFsaVec(
-                nnet_output[1][8],
-                supervision_segments,
-                allow_truncate=params.subsampling_factor - 1,
-            )
+            dense_fsa_vec_inter = [
+                k2.DenseFsaVec(
+                    nnet_output[1][8],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                )
+            for i in [2,5,8,11,14]
+            ]
 
             ctc_loss = (1-params.interctc_weight) * k2.ctc_loss(
                 decoding_graph=decoding_graph,