{"action":"closed","issue":{"url":"https://api.github.com/repos/jcjohnson/torch-rnn/issues/76","repository_url":"https://api.github.com/repos/jcjohnson/torch-rnn","labels_url":"https://api.github.com/repos/jcjohnson/torch-rnn/issues/76/labels{/name}","comments_url":"https://api.github.com/repos/jcjohnson/torch-rnn/issues/76/comments","events_url":"https://api.github.com/repos/jcjohnson/torch-rnn/issues/76/events","html_url":"https://github.com/jcjohnson/torch-rnn/issues/76","id":151158339,"number":76,"title":"documentation on how the faster and memory-efficient results are achieved","user":{"login":"blackyang","id":3350930,"avatar_url":"https://avatars.githubusercontent.com/u/3350930?v=3","gravatar_id":"","url":"https://api.github.com/users/blackyang","html_url":"https://github.com/blackyang","followers_url":"https://api.github.com/users/blackyang/followers","following_url":"https://api.github.com/users/blackyang/following{/other_user}","gists_url":"https://api.github.com/users/blackyang/gists{/gist_id}","starred_url":"https://api.github.com/users/blackyang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/blackyang/subscriptions","organizations_url":"https://api.github.com/users/blackyang/orgs","repos_url":"https://api.github.com/users/blackyang/repos","events_url":"https://api.github.com/users/blackyang/events{/privacy}","received_events_url":"https://api.github.com/users/blackyang/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2016-04-26T15:00:08Z","updated_at":"2016-09-20T15:04:43Z","closed_at":"2016-09-20T15:04:43Z","body":"@jcjohnson thanks for sharing your work! \r\n\r\nIs there any documentations on how the faster and memory-efficient results are achieved? I read #60  and it seems that you did something special for clones. Could you further explain it? Thanks. I can also take a look at the code to figure it out."}}
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