From 83da8c41d7fad20cb0fc49f43b96c2dc99cf6515 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Sat, 10 Dec 2022 14:56:14 +0900
Subject: [PATCH] from local

---
 .../.optim.py.swp                             | Bin 61440 -> 61440 bytes
 .../.train.py.swp                             | Bin 110592 -> 110592 bytes
 .../train.py                                  |   2 ++
 3 files changed, 2 insertions(+)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp
index 94f3371ee801d68bb9441e6718ed6d90b803d36c..c1a86c4de6fdc30b453510a9431be16d04fa383b 100644
GIT binary patch
delta 34
ocmZp8z})bFSv<)g%+puFQqO<^2m}}yeB`GjuV=loQT*k50IO^YtpET3

delta 34
ocmZp8z})bFSv<)g%+puFQqO<^2m}}yq$Q>#2mZOdQT*k50IWU>4FCWD

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 a74222b6bc9995df937ea4617074edae1c170915..54fdf3b9a43e23f76a14c0f67e53361ef151efc2 100644
GIT binary patch
delta 366
zcmWO2y-Nad0LJm>hjx0IVK<~utt}0yL7UA&G*<^<HAq2Z=F)O{7*T`J;9x_|5xqjg
z4Q;(GQ55wDI0O+y&=AxR^c_Ca^Y9Fh-?sd=b(VIFyPk1^jANc>;@3vXha@E=x7D*^
zCTp{CsemYMyQCW&U>Z}faT$|#FoAB|cS;S+VHCaiu<4<UEWV@C15U7oO_VT<0rcZF
zqMDu}(j%^Lj5@|Jf&{)SavWk0yV%A82GNJl4(S3-xX2-e->~$8Q*5A!apaJ~PbkSa
zhwP()Dm>%^uWas2(|F0&`>Gi_PtX5_gQGR`7H;{jiP=k~N~N&4Tr353&s4Mjf`3A=

delta 354
zcmWmAF-rn*0EY4R&()cllouofMPH!OqDc;_)iv-SBG6gTny(XrmS{3^w;>3Fg5X*j
zYAqtt4{)1NQ^f^sJ`O*4*7t2jb~CbX@{aM23QkyXOm8>yZKRqdX<G8y*}5qQOBv~F
zQu@Rz4&h@NgS7O3eXQXpCEel}J18QHK~g$L8FToZkb1aA7iZYU7B-Q@UqXr#3iLs|
z;}TVPSjQ}4TYAG29&v|Ll(2yrMB~yu0#x8)0smuCA6Ga*9Tm8kN6Zf|R*pr)1v(g=
gQ^HE<H_WrK@{4ZE___Apfk}@dB&Jef%Qv;vAxs%P(*OVf

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index 0543e1bf2..ea57db442 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -954,6 +954,8 @@ def train_one_epoch(
                 )
             loss_info.reduce(loss.device)
 
+            logging.info(loss_info)
+
             numel = params.world_size / (params.accum_grads * loss_info["utterances"])
             loss *= numel ## normalize loss over utts(batch size)