{"action":"opened","issue":{"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/3255","repository_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j","labels_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/3255/labels{/name}","comments_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/3255/comments","events_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/3255/events","html_url":"https://github.com/deeplearning4j/deeplearning4j/issues/3255","id":221892510,"number":3255,"title":"eval() needs to use Async iterator, workspaces","user":{"login":"crockpotveggies","id":1445295,"avatar_url":"https://avatars3.githubusercontent.com/u/1445295?v=3","gravatar_id":"","url":"https://api.github.com/users/crockpotveggies","html_url":"https://github.com/crockpotveggies","followers_url":"https://api.github.com/users/crockpotveggies/followers","following_url":"https://api.github.com/users/crockpotveggies/following{/other_user}","gists_url":"https://api.github.com/users/crockpotveggies/gists{/gist_id}","starred_url":"https://api.github.com/users/crockpotveggies/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/crockpotveggies/subscriptions","organizations_url":"https://api.github.com/users/crockpotveggies/orgs","repos_url":"https://api.github.com/users/crockpotveggies/repos","events_url":"https://api.github.com/users/crockpotveggies/events{/privacy}","received_events_url":"https://api.github.com/users/crockpotveggies/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-04-14T21:12:18Z","updated_at":"2017-04-14T21:12:18Z","closed_at":null,"body":"#### Issue Description\r\n\r\nWhen calling .eval() on a model, it neither uses the workspaces config nor AsyncDataSetIterator. Not only does this inhibit performance, but it also creates a memory leak since data in async iterator does not use workspaces.\r\n\r\nWhen using long-running training w/ GC disabled, eval() will crash a large training instance.\r\n\r\n#### Version Information\r\n\r\nPlease indicate relevant versions, including, if relevant:\r\n\r\n* Deeplearning4j MASTER\r\n* Ubuntu 16.04\r\n* CUDA 8, cuDNN 6\r\n* NVIDIA driver 378\r\n\r\n#### Contributing\r\n\r\nI can probably take a stab at this and follow the same conventions used in fit() for async wrapping.\r\n"}}
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