{"action":"opened","issue":{"url":"https://api.github.com/repos/hpi-xnor/BMXNet/issues/39","repository_url":"https://api.github.com/repos/hpi-xnor/BMXNet","labels_url":"https://api.github.com/repos/hpi-xnor/BMXNet/issues/39/labels{/name}","comments_url":"https://api.github.com/repos/hpi-xnor/BMXNet/issues/39/comments","events_url":"https://api.github.com/repos/hpi-xnor/BMXNet/issues/39/events","html_url":"https://github.com/hpi-xnor/BMXNet/issues/39","id":306275196,"number":39,"title":"The speed of the same model is rather slower than MXNet","user":{"login":"Sun1992","id":15020820,"avatar_url":"https://avatars3.githubusercontent.com/u/15020820?v=4","gravatar_id":"","url":"https://api.github.com/users/Sun1992","html_url":"https://github.com/Sun1992","followers_url":"https://api.github.com/users/Sun1992/followers","following_url":"https://api.github.com/users/Sun1992/following{/other_user}","gists_url":"https://api.github.com/users/Sun1992/gists{/gist_id}","starred_url":"https://api.github.com/users/Sun1992/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Sun1992/subscriptions","organizations_url":"https://api.github.com/users/Sun1992/orgs","repos_url":"https://api.github.com/users/Sun1992/repos","events_url":"https://api.github.com/users/Sun1992/events{/privacy}","received_events_url":"https://api.github.com/users/Sun1992/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-18T19:50:49Z","updated_at":"2018-03-18T19:50:49Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\n\r\nThanks for such good work. I used the same structure on both MXNet and BMXNet. However, the speed of training process on MXNet is 400 imgs/sec meanwhile the speed on BMXNet is 30 imgs/sec. I checked the GPU and it worked. I use TitanXP and CUDA 8. Do you know how to solve this issue?\r\n\r\n"}}
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