{"id":190,"date":"2020-02-03T02:33:31","date_gmt":"2020-02-02T17:33:31","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=190"},"modified":"2020-02-03T02:37:22","modified_gmt":"2020-02-02T17:37:22","slug":"ubuntu-16-04-6-lts-titan-rtx-x2-rtx2080ti-x2-cuda-10-2-e5-2650-v4-x2-nvidia-gpu-cloud-18-04-py3-tensorflow-x4gpu-googlenet-x2gpu-googlenet-%e5%ad%a6%e7%bf%92%e8%83%bd%e5%8a%9b%e3%82%92%e6%af%94","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=190","title":{"rendered":"Ubuntu 16.04.6 LTS TITAN RTX x2 RTX2080Ti x2 CUDA 10.2 E5-2650 V4 x2 NVIDIA GPU CLOUD 18.04-py3 tensorflow x4GPU googlenet x2GPU googlenet \u5b66\u7fd2\u80fd\u529b\u3092\u6bd4\u8f03\u3057\u3066\u307f\u305f Images\/sec 3879.4 1884.2"},"content":{"rendered":"

\u53c2\u7167\u30b5\u30a4\u30c8<\/a><\/p>\n

TensorFlow: 1.7.0
\nThis script: nvcnn.py v1.6
\nCmd line args:
\n–model=googlenet
\n–batch_size=256
\n–num_gpus=4
\n–fp16
\nNum images: Synthetic
\nModel: googlenet
\nBatch size: 1024 global
\n256.0 per device
\nDevices: [‘\/gpu:0’, ‘\/gpu:1’, ‘\/gpu:2’, ‘\/gpu:3’]\u3000TITANRTX x2 TITANRTX x2 4GPU<\/strong><\/p>\n

\u30b9\u30b3\u30a2\u3000Images\/sec 3879.4<\/strong><\/p>\n

TensorFlow: 1.7.0
\nThis script: nvcnn.py v1.6
\nCmd line args:
\n–model=googlenet
\n–batch_size=256
\n–num_gpus=2
\n–fp16
\nNum images: Synthetic
\nModel: googlenet
\nBatch size: 512 global
\n256.0 per device
\nDevices: [‘\/gpu:0’, ‘\/gpu:1’] TITANRTX x2 2GPU<\/strong><\/p>\n

\u30b9\u30b3\u30a2\u3000Images\/sec 1884.2<\/strong><\/p>\n

\u30c7\u30fc\u30bf\u8a73\u7d30 Ubuntu 16.04.6 LTS TITAN RTX x2 RTX2080Ti x2 CUDA 10.2 E5-2650 V4 x2 NVIDIA GPU CLOUD 18.04-py3 tensorflow x4GPU googlenet x2GPU googlenet \u5b66\u7fd2\u80fd\u529b\u78ba\u8a8d Images sec 3879.4 1884.2<\/a><\/p>\n

GPU\u6e29\u5ea6\u63a8\u79fb Ubuntu 16.04.6 LTS TITAN RTX x2 RTX2080Ti x2 CUDA 10.2 E5-2650 V4 x2 NVIDIA GPU CLOUD 18.04-py3 tensorflow x4GPU googlenet x2GPU googlenet \u5b66\u7fd2\u80fd\u529b\u78ba\u8a8d Images sec 3879.4 1884.2 nvidia-smi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u53c2\u7167\u30b5\u30a4\u30c8 TensorFlow: 1.7.0 This script: nvcnn.py v1.6 Cmd line args: –model=googlenet –batch_size=256 … \u7d9a\u304d\u3092\u8aad\u3080 →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[18,17],"tags":[],"class_list":["post-190","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-ubuntu"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=190"}],"version-history":[{"count":3,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/190\/revisions"}],"predecessor-version":[{"id":286,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/190\/revisions\/286"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}