{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/cxxnet/issues/163","labels_url":"https://api.github.com/repos/dmlc/cxxnet/issues/163/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/cxxnet/issues/163/comments","events_url":"https://api.github.com/repos/dmlc/cxxnet/issues/163/events","html_url":"https://github.com/dmlc/cxxnet/issues/163","id":81405901,"number":163,"title":" It is slow, when the category is big ","user":{"login":"chengchengowen","id":3350233,"avatar_url":"https://avatars.githubusercontent.com/u/3350233?v=3","gravatar_id":"","url":"https://api.github.com/users/chengchengowen","html_url":"https://github.com/chengchengowen","followers_url":"https://api.github.com/users/chengchengowen/followers","following_url":"https://api.github.com/users/chengchengowen/following{/other_user}","gists_url":"https://api.github.com/users/chengchengowen/gists{/gist_id}","starred_url":"https://api.github.com/users/chengchengowen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chengchengowen/subscriptions","organizations_url":"https://api.github.com/users/chengchengowen/orgs","repos_url":"https://api.github.com/users/chengchengowen/repos","events_url":"https://api.github.com/users/chengchengowen/events{/privacy}","received_events_url":"https://api.github.com/users/chengchengowen/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":10,"created_at":"2015-05-27T11:15:41Z","updated_at":"2015-05-29T01:10:06Z","closed_at":null,"body":"@winstywang Thanks for this great work! I tried it on 4 Titan x with Inception-BN.conf. In the case of the 4490 categories, train 40 batch cost 43 sec. However, in the case of 44900 categories, it cost 200 sec. \r\n"},"comment":{"url":"https://api.github.com/repos/dmlc/cxxnet/issues/comments/106646818","html_url":"https://github.com/dmlc/cxxnet/issues/163#issuecomment-106646818","issue_url":"https://api.github.com/repos/dmlc/cxxnet/issues/163","id":106646818,"user":{"login":"wguo68","id":4994038,"avatar_url":"https://avatars.githubusercontent.com/u/4994038?v=3","gravatar_id":"","url":"https://api.github.com/users/wguo68","html_url":"https://github.com/wguo68","followers_url":"https://api.github.com/users/wguo68/followers","following_url":"https://api.github.com/users/wguo68/following{/other_user}","gists_url":"https://api.github.com/users/wguo68/gists{/gist_id}","starred_url":"https://api.github.com/users/wguo68/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wguo68/subscriptions","organizations_url":"https://api.github.com/users/wguo68/orgs","repos_url":"https://api.github.com/users/wguo68/repos","events_url":"https://api.github.com/users/wguo68/events{/privacy}","received_events_url":"https://api.github.com/users/wguo68/received_events","type":"User","site_admin":false},"created_at":"2015-05-29T01:10:06Z","updated_at":"2015-05-29T01:10:06Z","body":"I use the nvidia-si to check if CUDA is used, it seems the CUDA is not used. The utilization of GPU are all N/A:\r\n       .....\r\nUtilization:\r\n       GPU                      N/A\r\n       Memory                N/A\r\n       Encoder                N/A\r\n       Decoder                N/A\r\n      ....\r\n What's the problem?\r\n\r\n       "}}