{"action":"created","issue":{"url":"https://api.github.com/repos/01org/idlf/issues/2","labels_url":"https://api.github.com/repos/01org/idlf/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/01org/idlf/issues/2/comments","events_url":"https://api.github.com/repos/01org/idlf/issues/2/events","html_url":"https://github.com/01org/idlf/issues/2","id":96775815,"number":2,"title":"error:regex_error","user":{"login":"sunshineatnoon","id":7546747,"avatar_url":"https://avatars.githubusercontent.com/u/7546747?v=3","gravatar_id":"","url":"https://api.github.com/users/sunshineatnoon","html_url":"https://github.com/sunshineatnoon","followers_url":"https://api.github.com/users/sunshineatnoon/followers","following_url":"https://api.github.com/users/sunshineatnoon/following{/other_user}","gists_url":"https://api.github.com/users/sunshineatnoon/gists{/gist_id}","starred_url":"https://api.github.com/users/sunshineatnoon/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sunshineatnoon/subscriptions","organizations_url":"https://api.github.com/users/sunshineatnoon/orgs","repos_url":"https://api.github.com/users/sunshineatnoon/repos","events_url":"https://api.github.com/users/sunshineatnoon/events{/privacy}","received_events_url":"https://api.github.com/users/sunshineatnoon/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":40,"created_at":"2015-07-23T10:01:41Z","updated_at":"2015-08-14T08:03:35Z","closed_at":null,"body":"when I try to run the demo using command below:\r\n./visual_cloud_demo --config=gpu_caffenet.config\r\nI got this error:\r\nerror: regex_error\r\nMy gpu_caffenet.config is as follows:\r\n--model=caffenet_float\r\n--device=device_gpu\r\n--batch=32\r\n--input=/home/images/\r\nWhat does 'regex_error' mean?\r\nThanks!\r\n"},"comment":{"url":"https://api.github.com/repos/01org/idlf/issues/comments/131012270","html_url":"https://github.com/01org/idlf/issues/2#issuecomment-131012270","issue_url":"https://api.github.com/repos/01org/idlf/issues/2","id":131012270,"user":{"login":"sunshineatnoon","id":7546747,"avatar_url":"https://avatars.githubusercontent.com/u/7546747?v=3","gravatar_id":"","url":"https://api.github.com/users/sunshineatnoon","html_url":"https://github.com/sunshineatnoon","followers_url":"https://api.github.com/users/sunshineatnoon/followers","following_url":"https://api.github.com/users/sunshineatnoon/following{/other_user}","gists_url":"https://api.github.com/users/sunshineatnoon/gists{/gist_id}","starred_url":"https://api.github.com/users/sunshineatnoon/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sunshineatnoon/subscriptions","organizations_url":"https://api.github.com/users/sunshineatnoon/orgs","repos_url":"https://api.github.com/users/sunshineatnoon/repos","events_url":"https://api.github.com/users/sunshineatnoon/events{/privacy}","received_events_url":"https://api.github.com/users/sunshineatnoon/received_events","type":"User","site_admin":false},"created_at":"2015-08-14T08:03:35Z","updated_at":"2015-08-14T08:03:35Z","body":"I want to test efficiency for single layer, thus I run debug model and get these outputs:\r\n```\r\nGPU Efficiency for                arithmetic ( assuming GPU clock fixed to 0 MHz ):  inf %,  1.532[ms]  sum: 1.53[ms]\r\nGPU Efficiency for                   pooling ( assuming GPU clock fixed to 0 MHz ):  -nan %,  1.590[ms]  sum: 3.12[ms]\r\nGPU Efficiency for    convolve_AlexNet_C1(1) ( assuming GPU clock fixed to 0 MHz ):  inf %,  15.258[ms]  sum: 18.38[ms]\r\nGPU Efficiency for       convolve_simd16(2\") ( assuming GPU clock fixed to 0 MHz ):  inf %,  1.566[ms]  sum: 19.95[ms]\r\nGPU Efficiency for       convolve_simd16(2') ( assuming GPU clock fixed to 0 MHz ):  inf %,  1.419[ms]  sum: 21.36[ms]\r\nGPU Efficiency for        convolve_simd16(2) ( assuming GPU clock fixed to 0 MHz ):  inf %,  9.673[ms]  sum: 31.04[ms]\r\nGPU Efficiency for             normalization ( assuming GPU clock fixed to 0 MHz ):  -nan %,  0.716[ms]  sum: 31.75[ms]\r\n```\r\nWhat does these number mean? Is this time for a layer or a single convolution operation? Also, why there are different kinds of convolution here?"}}