{"action":"created","issue":{"url":"https://api.github.com/repos/BVLC/caffe/issues/4872","repository_url":"https://api.github.com/repos/BVLC/caffe","labels_url":"https://api.github.com/repos/BVLC/caffe/issues/4872/labels{/name}","comments_url":"https://api.github.com/repos/BVLC/caffe/issues/4872/comments","events_url":"https://api.github.com/repos/BVLC/caffe/issues/4872/events","html_url":"https://github.com/BVLC/caffe/issues/4872","id":184382678,"number":4872,"title":"Fast R-CNN for caffe-opencl","user":{"login":"SHEKOLDA","id":22450642,"avatar_url":"https://avatars.githubusercontent.com/u/22450642?v=3","gravatar_id":"","url":"https://api.github.com/users/SHEKOLDA","html_url":"https://github.com/SHEKOLDA","followers_url":"https://api.github.com/users/SHEKOLDA/followers","following_url":"https://api.github.com/users/SHEKOLDA/following{/other_user}","gists_url":"https://api.github.com/users/SHEKOLDA/gists{/gist_id}","starred_url":"https://api.github.com/users/SHEKOLDA/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/SHEKOLDA/subscriptions","organizations_url":"https://api.github.com/users/SHEKOLDA/orgs","repos_url":"https://api.github.com/users/SHEKOLDA/repos","events_url":"https://api.github.com/users/SHEKOLDA/events{/privacy}","received_events_url":"https://api.github.com/users/SHEKOLDA/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-10-21T02:00:26Z","updated_at":"2016-10-21T08:05:52Z","closed_at":null,"body":"Hi, I thought of trying to run Faster R-CNN with OpenCL but there only seems to be CUDA implementation for ROI pooling layer and SmoothL1LossLayer. Has anyone tried to implement them for Greentea?"},"comment":{"url":"https://api.github.com/repos/BVLC/caffe/issues/comments/255319942","html_url":"https://github.com/BVLC/caffe/issues/4872#issuecomment-255319942","issue_url":"https://api.github.com/repos/BVLC/caffe/issues/4872","id":255319942,"user":{"login":"naibaf7","id":5577650,"avatar_url":"https://avatars.githubusercontent.com/u/5577650?v=3","gravatar_id":"","url":"https://api.github.com/users/naibaf7","html_url":"https://github.com/naibaf7","followers_url":"https://api.github.com/users/naibaf7/followers","following_url":"https://api.github.com/users/naibaf7/following{/other_user}","gists_url":"https://api.github.com/users/naibaf7/gists{/gist_id}","starred_url":"https://api.github.com/users/naibaf7/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/naibaf7/subscriptions","organizations_url":"https://api.github.com/users/naibaf7/orgs","repos_url":"https://api.github.com/users/naibaf7/repos","events_url":"https://api.github.com/users/naibaf7/events{/privacy}","received_events_url":"https://api.github.com/users/naibaf7/received_events","type":"User","site_admin":false},"created_at":"2016-10-21T08:05:52Z","updated_at":"2016-10-21T08:05:52Z","body":"@SHEKOLDA \r\nThose layers do not seem to be part of the official BVLC Caffe, is that right?\r\nCan you link me to the CUDA implementation you are referring to?"}}
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