{"action":"closed","issue":{"url":"https://api.github.com/repos/davisking/dlib/issues/941","repository_url":"https://api.github.com/repos/davisking/dlib","labels_url":"https://api.github.com/repos/davisking/dlib/issues/941/labels{/name}","comments_url":"https://api.github.com/repos/davisking/dlib/issues/941/comments","events_url":"https://api.github.com/repos/davisking/dlib/issues/941/events","html_url":"https://github.com/davisking/dlib/issues/941","id":273143000,"number":941,"title":"CUDA not being use with python API","user":{"login":"Prakosza","id":9090073,"avatar_url":"https://avatars1.githubusercontent.com/u/9090073?v=4","gravatar_id":"","url":"https://api.github.com/users/Prakosza","html_url":"https://github.com/Prakosza","followers_url":"https://api.github.com/users/Prakosza/followers","following_url":"https://api.github.com/users/Prakosza/following{/other_user}","gists_url":"https://api.github.com/users/Prakosza/gists{/gist_id}","starred_url":"https://api.github.com/users/Prakosza/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Prakosza/subscriptions","organizations_url":"https://api.github.com/users/Prakosza/orgs","repos_url":"https://api.github.com/users/Prakosza/repos","events_url":"https://api.github.com/users/Prakosza/events{/privacy}","received_events_url":"https://api.github.com/users/Prakosza/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2017-11-11T12:44:13Z","updated_at":"2018-05-26T13:03:54Z","closed_at":"2018-05-26T13:03:54Z","author_association":"NONE","body":"Hi \r\nI compiled the newest version of dlib (straight from master) with VS 2015. I used your setup.py script and I'm sure that during that process the info about that CUDA will be used was displayed. I have CUDA 9 installed with cuDNN 7. Now I don't see any gpu use while using function like compute_face_descriptor. \r\nEdit: Log of process of compilation and setup https://pastebin.com/x6B8nSuq"}}
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