{"id":1592,"date":"2016-08-30T02:32:23","date_gmt":"2016-08-29T18:32:23","guid":{"rendered":"http:\/\/www.ticoneva.com\/journal\/?p=1592"},"modified":"2016-08-30T02:32:23","modified_gmt":"2016-08-29T18:32:23","slug":"tensorflow-and-cuda-8-0","status":"publish","type":"post","link":"https:\/\/www.ticoneva.com\/journal\/?p=1592","title":{"rendered":"TensorFlow and CUDA 8.0"},"content":{"rendered":"<p>TensorFlow up and running with CUDA 8.0. Life-saving tip: always explicitly enter your CUDA and cuDNN versions during configuration.<\/p>\n<p>My first impression is TF is a bit behind Nervana Neon in terms of training speed and ease of use. Too bad the latter now belongs to Intel, which clearly wants to promote its own Pentium-based Xeon Phi over Nvidia GPU.<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-1593\" src=\"https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?resize=604%2C340\" alt=\"Screenshot 2016-08-30 02.08.53\" width=\"604\" height=\"340\" srcset=\"https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?w=1208 1208w, https:\/\/i0.wp.com\/www.ticoneva.com\/journal\/wp-content\/uploads\/2016\/08\/Screenshot-2016-08-30-02.08.53.png?w=1812 1812w\" sizes=\"auto, (max-width: 604px) 100vw, 604px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>TensorFlow up and running with CUDA 8.0. Life-saving tip: always explicitly enter your CUDA and cuDNN versions during configuration. My first impression is TF is a bit behind Nervana Neon in terms of training speed and ease of use. Too bad the latter now belongs to Intel, which clearly wants to promote its own Pentium-based [&hellip;]<\/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":[7],"tags":[],"class_list":["post-1592","post","type-post","status-publish","format-standard","hentry","category-tech-zone"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/posts\/1592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1592"}],"version-history":[{"count":1,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/posts\/1592\/revisions"}],"predecessor-version":[{"id":1594,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=\/wp\/v2\/posts\/1592\/revisions\/1594"}],"wp:attachment":[{"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ticoneva.com\/journal\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}