mxnet
2018.05.17 11:21
senet 18.68% 4.47%
se-50 (SE-ResNeXt-50 (32 x 4d)) 20.97% 5.54%
resnext-101 (64x4d) 20.4% 5.3%
resnet-152 23% 6.7%
1070, 8GB
resnet -> batch 26 , 50img/sec
se-50 -> batch 39 , 35img/sec
resnext -> batch 16 , 25img/sec
댓글 2
번호 | 제목 | 글쓴이 | 날짜 | 조회 수 |
---|---|---|---|---|
1686 | ubuntu cuda nvidia-smi | WHRIA | 2020.08.29 | 849 |
1685 | concat network [3] | WHRIA | 2020.08.27 | 147 |
1684 | GPT2 [1] | WHRIA | 2020.08.03 | 250 |
1683 | scopus [1] | WHRIA | 2020.08.02 | 344 |
1682 | melafind | WHRIA | 2020.08.01 | 771 |
1681 | nvidia dali [1] | WHRIA | 2020.08.01 | 265 |
1680 | pytorch optimize | WHRIA | 2020.08.01 | 126 |
1679 | startup , 미국 | WHRIA | 2020.07.30 | 134 |
1678 | consort , stard | WHRIA | 2020.07.30 | 81 |
1677 | model split [1] | WHRIA | 2020.07.30 | 142 |
1676 | FTC [1] | WHRIA | 2020.07.28 | 238 |
1675 | 암호화 | WHRIA | 2020.07.26 | 1000 |
1674 | raid 6 | WHRIA | 2020.07.23 | 43 |
1673 | asyncio | WHRIA | 2020.07.23 | 286 |
1672 | amp distributed pytorch [1] | WHRIA | 2020.07.14 | 51 |
resnet은 32 , se-50 은 56, resnext 는 26 을 batch 로 줄 수 있고 성능은 2배정도 - 1080ti