{"action":"created","issue":{"url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/9","repository_url":"https://api.github.com/repos/Ugness/PiCANet-Implementation","labels_url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/9/comments","events_url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/9/events","html_url":"https://github.com/Ugness/PiCANet-Implementation/issues/9","id":367749227,"node_id":"MDU6SXNzdWUzNjc3NDkyMjc=","number":9,"title":"Have you met memory leak problem when running model？","user":{"login":"Sucran","id":6975465,"node_id":"MDQ6VXNlcjY5NzU0NjU=","avatar_url":"https://avatars1.githubusercontent.com/u/6975465?v=4","gravatar_id":"","url":"https://api.github.com/users/Sucran","html_url":"https://github.com/Sucran","followers_url":"https://api.github.com/users/Sucran/followers","following_url":"https://api.github.com/users/Sucran/following{/other_user}","gists_url":"https://api.github.com/users/Sucran/gists{/gist_id}","starred_url":"https://api.github.com/users/Sucran/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Sucran/subscriptions","organizations_url":"https://api.github.com/users/Sucran/orgs","repos_url":"https://api.github.com/users/Sucran/repos","events_url":"https://api.github.com/users/Sucran/events{/privacy}","received_events_url":"https://api.github.com/users/Sucran/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":14,"created_at":"2018-10-08T11:36:48Z","updated_at":"2018-10-14T12:38:11Z","closed_at":null,"author_association":"NONE","body":"Hi， @Ugness \r\nI met a RAM memory leak problem when running network.py and train.py， this issue confused me for a few days. I have run other pytorch repo which is OK. \r\nI run the code in Ubuntu 14.04, Pytorch 0.4.1, CUDA 8.0, cudnn 6.0.\r\n"},"comment":{"url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/comments/429623067","html_url":"https://github.com/Ugness/PiCANet-Implementation/issues/9#issuecomment-429623067","issue_url":"https://api.github.com/repos/Ugness/PiCANet-Implementation/issues/9","id":429623067,"node_id":"MDEyOklzc3VlQ29tbWVudDQyOTYyMzA2Nw==","user":{"login":"Ugness","id":33034982,"node_id":"MDQ6VXNlcjMzMDM0OTgy","avatar_url":"https://avatars0.githubusercontent.com/u/33034982?v=4","gravatar_id":"","url":"https://api.github.com/users/Ugness","html_url":"https://github.com/Ugness","followers_url":"https://api.github.com/users/Ugness/followers","following_url":"https://api.github.com/users/Ugness/following{/other_user}","gists_url":"https://api.github.com/users/Ugness/gists{/gist_id}","starred_url":"https://api.github.com/users/Ugness/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Ugness/subscriptions","organizations_url":"https://api.github.com/users/Ugness/orgs","repos_url":"https://api.github.com/users/Ugness/repos","events_url":"https://api.github.com/users/Ugness/events{/privacy}","received_events_url":"https://api.github.com/users/Ugness/received_events","type":"User","site_admin":false},"created_at":"2018-10-14T12:38:11Z","updated_at":"2018-10-14T12:38:11Z","author_association":"OWNER","body":"Hi @Sucran  I made a new logic! \r\nYou can check it on https://github.com/Ugness/PiCANet-Implementation/tree/Fold_Unfold\r\nNow you can train my model with batch1, by using 3.5GB of VRAM.\r\nI just started training code, so I'll report the training result about next week!"}}
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