RuntimeError: CUDA error: out of memory

[qtw1998]

[toandaominh1997]

@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0

[qtw1998]

@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0

Just the same codes as the github now? I don't know why? And you can see the problem very popular among others #32 , but now may have no ways to get started to train the model...

[qtw1998]

@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0

Linux version 3.10.0-957.el7.x86_64 (mockbuild@kbuilder.bsys.centos.org) (gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC) ) #1 SMP Thu Nov 8 23:39:32 UTC 2018
(base) [qiaotianwei@head1 EfficientDetOrign]$ cat /etc/release
CentOS Linux release 7.6.1810 (Core)
Derived from Red Hat Enterprise Linux 7.6 (Source)
NAME="CentOS Linux"
VERSION="7 (Core)"
ID="centos"
ID_LIKE="rhel fedora"
VERSION_ID="7"
PRETTY_NAME="CentOS Linux 7 (Core)"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:centos:centos:7"
HOME_URL="https://www.centos.org/"
BUG_REPORT_URL="https://bugs.centos.org/"

CENTOS_MANTISBT_PROJECT="CentOS-7"
CENTOS_MANTISBT_PROJECT_VERSION="7"
REDHAT_SUPPORT_PRODUCT="centos"
REDHAT_SUPPORT_PRODUCT_VERSION="7"

CentOS Linux release 7.6.1810 (Core)
CentOS Linux release 7.6.1810 (Core)
cpe:/o:centos:centos:7

[Jasper-Bai]

I also met the same issue in the trainning. have you solved it ?