{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/1031","labels_url":"https://api.github.com/repos/dmlc/mxnet/issues/1031/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet/issues/1031/comments","events_url":"https://api.github.com/repos/dmlc/mxnet/issues/1031/events","html_url":"https://github.com/dmlc/mxnet/issues/1031","id":123594756,"number":1031,"title":"I'm using lenet training mnist on cpu, how can mxnet makes the most of all the cpus in a machine?","user":{"login":"dushoufu","id":8800132,"avatar_url":"https://avatars.githubusercontent.com/u/8800132?v=3","gravatar_id":"","url":"https://api.github.com/users/dushoufu","html_url":"https://github.com/dushoufu","followers_url":"https://api.github.com/users/dushoufu/followers","following_url":"https://api.github.com/users/dushoufu/following{/other_user}","gists_url":"https://api.github.com/users/dushoufu/gists{/gist_id}","starred_url":"https://api.github.com/users/dushoufu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dushoufu/subscriptions","organizations_url":"https://api.github.com/users/dushoufu/orgs","repos_url":"https://api.github.com/users/dushoufu/repos","events_url":"https://api.github.com/users/dushoufu/events{/privacy}","received_events_url":"https://api.github.com/users/dushoufu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":15,"created_at":"2015-12-23T02:56:22Z","updated_at":"2015-12-24T09:07:45Z","closed_at":null,"body":"I only modify the file lenet.py and change   dev = mx.gpu(). to dev = mx.cpu().\r\nI find it runs too slow,and only one cpu is at 100%,others is low.\r\nhow can I modify the lenet.py and can use all the cpus?\r\n\r\nthank."},"comment":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/comments/167073233","html_url":"https://github.com/dmlc/mxnet/issues/1031#issuecomment-167073233","issue_url":"https://api.github.com/repos/dmlc/mxnet/issues/1031","id":167073233,"user":{"login":"dushoufu","id":8800132,"avatar_url":"https://avatars.githubusercontent.com/u/8800132?v=3","gravatar_id":"","url":"https://api.github.com/users/dushoufu","html_url":"https://github.com/dushoufu","followers_url":"https://api.github.com/users/dushoufu/followers","following_url":"https://api.github.com/users/dushoufu/following{/other_user}","gists_url":"https://api.github.com/users/dushoufu/gists{/gist_id}","starred_url":"https://api.github.com/users/dushoufu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dushoufu/subscriptions","organizations_url":"https://api.github.com/users/dushoufu/orgs","repos_url":"https://api.github.com/users/dushoufu/repos","events_url":"https://api.github.com/users/dushoufu/events{/privacy}","received_events_url":"https://api.github.com/users/dushoufu/received_events","type":"User","site_admin":false},"created_at":"2015-12-24T09:07:45Z","updated_at":"2015-12-24T09:07:45Z","body":"I’m doing a project which intend to use distributed version of caffe or mxnet. We have a lot of cpus,so we hope to make a choice between caffe and mxnet,so I do this test.  Normally, I think if we want to do a   real project for commercial target, the performance of cpu need to be considered,as most of us have many cpus instead of gpus if we use distributed deep learning system."}}