{"action":"created","issue":{"url":"https://api.github.com/repos/NVIDIA/caffe/issues/321","repository_url":"https://api.github.com/repos/NVIDIA/caffe","labels_url":"https://api.github.com/repos/NVIDIA/caffe/issues/321/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/caffe/issues/321/comments","events_url":"https://api.github.com/repos/NVIDIA/caffe/issues/321/events","html_url":"https://github.com/NVIDIA/caffe/issues/321","id":225609154,"number":321,"title":"How to use fp16 + cudnn6.0 with tx1 on branch caffe-0.16 ","user":{"login":"lbin","id":3326649,"avatar_url":"https://avatars2.githubusercontent.com/u/3326649?v=3","gravatar_id":"","url":"https://api.github.com/users/lbin","html_url":"https://github.com/lbin","followers_url":"https://api.github.com/users/lbin/followers","following_url":"https://api.github.com/users/lbin/following{/other_user}","gists_url":"https://api.github.com/users/lbin/gists{/gist_id}","starred_url":"https://api.github.com/users/lbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lbin/subscriptions","organizations_url":"https://api.github.com/users/lbin/orgs","repos_url":"https://api.github.com/users/lbin/repos","events_url":"https://api.github.com/users/lbin/events{/privacy}","received_events_url":"https://api.github.com/users/lbin/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2017-05-02T07:16:09Z","updated_at":"2017-05-03T07:47:49Z","closed_at":"2017-05-03T07:47:49Z","body":"So exciting to see some updates for fp16. For now tx1 only support cudnn5.1. If I want to use fp16+cudnn, where I can find a guideline?"},"comment":{"url":"https://api.github.com/repos/NVIDIA/caffe/issues/comments/298843790","html_url":"https://github.com/NVIDIA/caffe/issues/321#issuecomment-298843790","issue_url":"https://api.github.com/repos/NVIDIA/caffe/issues/321","id":298843790,"user":{"login":"lbin","id":3326649,"avatar_url":"https://avatars2.githubusercontent.com/u/3326649?v=3","gravatar_id":"","url":"https://api.github.com/users/lbin","html_url":"https://github.com/lbin","followers_url":"https://api.github.com/users/lbin/followers","following_url":"https://api.github.com/users/lbin/following{/other_user}","gists_url":"https://api.github.com/users/lbin/gists{/gist_id}","starred_url":"https://api.github.com/users/lbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lbin/subscriptions","organizations_url":"https://api.github.com/users/lbin/orgs","repos_url":"https://api.github.com/users/lbin/repos","events_url":"https://api.github.com/users/lbin/events{/privacy}","received_events_url":"https://api.github.com/users/lbin/received_events","type":"User","site_admin":false},"created_at":"2017-05-03T07:47:49Z","updated_at":"2017-05-03T07:47:49Z","body":"@drnikolaev  Thanks for your reply. After I comment some codes relate with cudnn in caffe/util/cudnn.h, caffe-0.16 with cudnn5.1 can be complied on Tx1, but the speed is a problem. I am waiting good news from Tegra team to support cudnn6"}}
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