{"action":"created","issue":{"url":"https://api.github.com/repos/hughperkins/DeepCL/issues/83","repository_url":"https://api.github.com/repos/hughperkins/DeepCL","labels_url":"https://api.github.com/repos/hughperkins/DeepCL/issues/83/labels{/name}","comments_url":"https://api.github.com/repos/hughperkins/DeepCL/issues/83/comments","events_url":"https://api.github.com/repos/hughperkins/DeepCL/issues/83/events","html_url":"https://github.com/hughperkins/DeepCL/issues/83","id":168141481,"number":83,"title":"Weird crash","user":{"login":"NKUCodingCat","id":8611032,"avatar_url":"https://avatars.githubusercontent.com/u/8611032?v=3","gravatar_id":"","url":"https://api.github.com/users/NKUCodingCat","html_url":"https://github.com/NKUCodingCat","followers_url":"https://api.github.com/users/NKUCodingCat/followers","following_url":"https://api.github.com/users/NKUCodingCat/following{/other_user}","gists_url":"https://api.github.com/users/NKUCodingCat/gists{/gist_id}","starred_url":"https://api.github.com/users/NKUCodingCat/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NKUCodingCat/subscriptions","organizations_url":"https://api.github.com/users/NKUCodingCat/orgs","repos_url":"https://api.github.com/users/NKUCodingCat/repos","events_url":"https://api.github.com/users/NKUCodingCat/events{/privacy}","received_events_url":"https://api.github.com/users/NKUCodingCat/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":20,"created_at":"2016-07-28T16:39:59Z","updated_at":"2016-07-29T03:30:48Z","closed_at":null,"body":"Well, It's me again. Yesterday I ran a data set which is 33k\\*17\\*17 large using a script like test_deepcl_numpy.py and it works pretty good. However, when I tried a dataset, which is 14k\\*50\\*50 large, it tolds me that `Out of resources, code -5`, so I try the top 100 of my data but it crash without any other error informations, therefore I doubt that my memory of GPU is too small so I use an old graphic card with HD6450 and 2GB RAM but it crash without doubt.\r\n\r\nMeanwhile, top 10 of data works well but it's not helpful, it seems that the limit of crash is about 20 or lower, I use GPU-z to monitor the memory and it only increase about 10MB(when using top 50 samples). \r\n\r\nI am trying to tidy and update my code........hope it helpful for fixing problem\r\n\r\nMy PC:\r\n\r\nAMD A10-5800K / 16GB RAM / WIndows 10 Pro (Too much memory for such a CPU, huh?)\r\nAn extra R5 230 (aka HD6450) with 2GB GDDR3 ( Just a card for test )\r\nDeepCL & PyDeepCL are latest version\r\nDriver provided by Windows update"},"comment":{"url":"https://api.github.com/repos/hughperkins/DeepCL/issues/comments/236086266","html_url":"https://github.com/hughperkins/DeepCL/issues/83#issuecomment-236086266","issue_url":"https://api.github.com/repos/hughperkins/DeepCL/issues/83","id":236086266,"user":{"login":"hughperkins","id":123560,"avatar_url":"https://avatars.githubusercontent.com/u/123560?v=3","gravatar_id":"","url":"https://api.github.com/users/hughperkins","html_url":"https://github.com/hughperkins","followers_url":"https://api.github.com/users/hughperkins/followers","following_url":"https://api.github.com/users/hughperkins/following{/other_user}","gists_url":"https://api.github.com/users/hughperkins/gists{/gist_id}","starred_url":"https://api.github.com/users/hughperkins/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hughperkins/subscriptions","organizations_url":"https://api.github.com/users/hughperkins/orgs","repos_url":"https://api.github.com/users/hughperkins/repos","events_url":"https://api.github.com/users/hughperkins/events{/privacy}","received_events_url":"https://api.github.com/users/hughperkins/received_events","type":"User","site_admin":false},"created_at":"2016-07-29T03:30:48Z","updated_at":"2016-07-29T03:30:48Z","body":"On the whole, probably better and less buggy to actually update the code to handle rectangular images..."}}
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