{"id":13294,"date":"2018-10-16T04:16:41","date_gmt":"2018-10-15T19:16:41","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=13294"},"modified":"2022-08-29T14:50:28","modified_gmt":"2022-08-29T05:50:28","slug":"arch-linux-nvidia-gpu-cloud-18-04-py3-tensorflow-googlen-titan-v1%e6%9e%9a-%e3%81%a7%e3%81%ae%e5%ad%a6%e7%bf%92%e8%83%bd%e5%8a%9b%e3%82%92%e7%a2%ba%e8%aa%8d%e3%81%97%e3%81%a6%e3%81%bf%e3%81%9f-images","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=13294","title":{"rendered":"Arch Linux NVIDIA GPU CLOUD 18.04-py3 tensorflow googlen  TITAN V1\u679a \u3067\u306e\u5b66\u7fd2\u80fd\u529b\u3092\u78ba\u8a8d\u3057\u3066\u307f\u305f Images\/sec 1349.7"},"content":{"rendered":"<p>TensorFlow:  1.7.0<br \/>\nThis script: nvcnn.py v1.6<br \/>\nCmd line args:<br \/>\n  &#8211;model=googlenet<br \/>\n  &#8211;batch_size=256<br \/>\n  &#8211;num_gpus=1<br \/>\n  &#8211;fp16<br \/>\nNum images:  Synthetic<br \/>\nModel:       googlenet<br \/>\nBatch size:  256 global<br \/>\n             256.0 per device<br \/>\nDevices:     [&#8216;\/gpu:0&#8217;]<br \/>\nData format: NCHW<br \/>\nData type:   fp16<br \/>\nHave NCCL:   True<br \/>\nUsing NCCL:  True<br \/>\nUsing XLA:   False<br \/>\nBuilding training graph<br \/>\nCreating session<br \/>\n\u25cfImages\/sec: 1349.7\u25cf<br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2018\/06\/0fa8fd2a62677216e082414309076bf4.txt\">Arch Linux TITAN V NVIDIA GPU CLOUD 18.04-py3 tensorflow googlenet \u5b66\u7fd2\u80fd\u529b\u78ba\u8a8d Images sec 1349.7<\/a><br \/>\nGPU nvidia-smi<br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2018\/06\/09c3c535f6e8764e481c9e07ae05d1ae.txt\">Arch Linux TITAN V NVIDIA GPU CLOUD 18.04-py3 tensorflow googlenet \u5b66\u7fd2\u80fd\u529b\u78ba\u8a8d Images sec 1349.7 nvidia-smi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>TensorFlow: 1.7.0 This script: nvcnn.py v1.6 Cmd line args: &#8211;model=googlenet &#8211;batch_size=256 &#038;#821 &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=13294\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"meta-nav\">&rarr;<\/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":[4,18],"tags":[],"class_list":["post-13294","post","type-post","status-publish","format-standard","hentry","category-archlinux","category-nvidia"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/13294","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=13294"}],"version-history":[{"count":2,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/13294\/revisions"}],"predecessor-version":[{"id":13298,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/13294\/revisions\/13298"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13294"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13294"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}