From 63e2c16dc69b4b9e41be4ed1579046a12855edb8 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Sat, 10 Dec 2022 12:55:39 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.run_v2.sh.swp            | Bin 12288 -> 12288 bytes
 .../.train.py.swp                             | Bin 65536 -> 65536 bytes
 icefall/.utils.py.swp                         | Bin 65536 -> 65536 bytes
 icefall/utils.py                              |   3 ++-
 4 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/.run_v2.sh.swp b/egs/librispeech/ASR/.run_v2.sh.swp
index 79249b15a6bf9f8007b883502dff1add02109789..33fff072bef125e74281b90c90af8d0ad0a70ef8 100644
GIT binary patch
delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE1_no_DangAioVtd0CjT**8l(j

delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE1_l<UDai>NMPKU!0CEHeSO5S3

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index 72e1a41b150c0dc9eb06aa4745914c1fde77fd59..b66bcc0a90483c351f049ce574c0ab88e3c14de8 100644
GIT binary patch
delta 33
ncmZo@U}<Pz5lb=%^Ym4))H7fJ0s#gFccv-H#~y7Id-WdxjRFb$

delta 33
ncmZo@U}<Pz5lb=%^Ym4))H7fJ0s#hwXN*&lKR?_k_Ub<XlsF2;

diff --git a/icefall/.utils.py.swp b/icefall/.utils.py.swp
index 57ec460157176fbdaef3f3745bac6cbfee10f16d..d34e2c3e61feafff92e94bd282d1ebbb8a74f493 100644
GIT binary patch
delta 144
zcmZo@U}<Pz*<c{R7`NF_;Icih8xsS=EoKG=1_1_!xXpqA;f!kftPBi#K>U}5f#D+%
z-vr{7KpYChJV1OKsQec5=Dt85rpf1aiAk5_7bR!tdFGXbq~;ap7ir{`=EkQLCFZ6U
ZYi^bav11fKS1>s$REJS>b6aTDDgY_EDG>kw

delta 106
zcmZo@U}<Pz*<c{R7`xd};Ich$4-*4}3=0DTg8&0V>}J7$a7Hx;Rt5%pAm#&NCLn$V
tl->ozX+SIs#31E0ESviReV8UY`dM)(K*4725Ie@nk)b-9+d`{W0RSu(6-595

diff --git a/icefall/utils.py b/icefall/utils.py
index 7eb780a74..cf492c269 100644
--- a/icefall/utils.py
+++ b/icefall/utils.py
@@ -192,7 +192,7 @@ def encode_supervisions(
     each other.
     """
     try: start_frame = supervisions["start_frame"]
-    except: start_frame = [0 for i in range(len(supervisions["cut"]))]
+    except: start_frame = torch.IntTensor([0 for i in range(len(supervisions["cut"]))])
 
     try: num_frames = supervisions["num_frames"]
     except:
@@ -200,6 +200,7 @@ def encode_supervisions(
         for supervision in supervisions['cut']:
             try: num_frames.append(supervision.tracks[0].cut.recording.num_samples)
             except: num_frames.append(supervision.recording.num_samples)
+        num_frames = torch.IntTensor(num_frames)
 
     supervision_segments = torch.stack(
         (