{"action":"created","issue":{"url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/323","repository_url":"https://api.github.com/repos/deeplearning4j/dl4j-examples","labels_url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/323/labels{/name}","comments_url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/323/comments","events_url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/323/events","html_url":"https://github.com/deeplearning4j/dl4j-examples/issues/323","id":197529057,"number":323,"title":"why  the example \"ParagraphVectorsClassifierExample\" cannot acclerate in GPU?","user":{"login":"xiaoxiaohouzi","id":22904142,"avatar_url":"https://avatars.githubusercontent.com/u/22904142?v=3","gravatar_id":"","url":"https://api.github.com/users/xiaoxiaohouzi","html_url":"https://github.com/xiaoxiaohouzi","followers_url":"https://api.github.com/users/xiaoxiaohouzi/followers","following_url":"https://api.github.com/users/xiaoxiaohouzi/following{/other_user}","gists_url":"https://api.github.com/users/xiaoxiaohouzi/gists{/gist_id}","starred_url":"https://api.github.com/users/xiaoxiaohouzi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xiaoxiaohouzi/subscriptions","organizations_url":"https://api.github.com/users/xiaoxiaohouzi/orgs","repos_url":"https://api.github.com/users/xiaoxiaohouzi/repos","events_url":"https://api.github.com/users/xiaoxiaohouzi/events{/privacy}","received_events_url":"https://api.github.com/users/xiaoxiaohouzi/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-12-26T03:19:43Z","updated_at":"2016-12-26T16:45:06Z","closed_at":"2016-12-26T16:45:06Z","body":" i compile the example \"ParagraphVectorsClassifierExample\" in linux. and change the \"nd4j.backend\" to \"nd4j-cuda-8.0-platform\"。  but it may be more slowly compare to \"nd4j-native-platform\"。\r\n\r\nthe gpu is telsa m40。 system is docker linux。"},"comment":{"url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/comments/269225939","html_url":"https://github.com/deeplearning4j/dl4j-examples/issues/323#issuecomment-269225939","issue_url":"https://api.github.com/repos/deeplearning4j/dl4j-examples/issues/323","id":269225939,"user":{"login":"raver119","id":12250879,"avatar_url":"https://avatars.githubusercontent.com/u/12250879?v=3","gravatar_id":"","url":"https://api.github.com/users/raver119","html_url":"https://github.com/raver119","followers_url":"https://api.github.com/users/raver119/followers","following_url":"https://api.github.com/users/raver119/following{/other_user}","gists_url":"https://api.github.com/users/raver119/gists{/gist_id}","starred_url":"https://api.github.com/users/raver119/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/raver119/subscriptions","organizations_url":"https://api.github.com/users/raver119/orgs","repos_url":"https://api.github.com/users/raver119/repos","events_url":"https://api.github.com/users/raver119/events{/privacy}","received_events_url":"https://api.github.com/users/raver119/received_events","type":"User","site_admin":false},"created_at":"2016-12-26T16:45:06Z","updated_at":"2016-12-26T16:45:06Z","body":"Because recent native overhaul wasn't finished there, and tbh it won't be addressing single GPU after finished, and will be focused on multi-gpu environments instead.\r\n\r\nSo for now, CPU is the way to go. It's not that bad like it was before 0.7.0, but CPU is still faster."}}
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