{"action":"opened","issue":{"url":"https://api.github.com/repos/NVIDIA/FastPhotoStyle/issues/30","repository_url":"https://api.github.com/repos/NVIDIA/FastPhotoStyle","labels_url":"https://api.github.com/repos/NVIDIA/FastPhotoStyle/issues/30/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/FastPhotoStyle/issues/30/comments","events_url":"https://api.github.com/repos/NVIDIA/FastPhotoStyle/issues/30/events","html_url":"https://github.com/NVIDIA/FastPhotoStyle/issues/30","id":302782009,"number":30,"title":"GPU Memory Usage","user":{"login":"moeedkundi","id":28098395,"avatar_url":"https://avatars1.githubusercontent.com/u/28098395?v=4","gravatar_id":"","url":"https://api.github.com/users/moeedkundi","html_url":"https://github.com/moeedkundi","followers_url":"https://api.github.com/users/moeedkundi/followers","following_url":"https://api.github.com/users/moeedkundi/following{/other_user}","gists_url":"https://api.github.com/users/moeedkundi/gists{/gist_id}","starred_url":"https://api.github.com/users/moeedkundi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/moeedkundi/subscriptions","organizations_url":"https://api.github.com/users/moeedkundi/orgs","repos_url":"https://api.github.com/users/moeedkundi/repos","events_url":"https://api.github.com/users/moeedkundi/events{/privacy}","received_events_url":"https://api.github.com/users/moeedkundi/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-06T16:56:07Z","updated_at":"2018-03-06T16:56:07Z","closed_at":null,"author_association":"NONE","body":"I tested this demo on multiple GPUs which are Nvidia GeForce 1080 and GTX 750ti, i encountered the following issues:\r\n\r\n1) Maximum photo size 1080 GPU could handle was 800x600, and GTX 750ti could handle max 600x480 if display is not on this gpu (750ti) and 320x240 if display is connected to this gpu. Larger sizes than this result in CUDA out of memory error as Python process takes all the available gpu memory, shown in nvidia-smi.\r\n\r\n2) If this demo is run as a function in another program, it doesn't release GPU memory after stylization of the image."}}
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