{"action":"opened","issue":{"url":"https://api.github.com/repos/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation/issues/1","repository_url":"https://api.github.com/repos/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation","labels_url":"https://api.github.com/repos/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation/issues/1/comments","events_url":"https://api.github.com/repos/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation/issues/1/events","html_url":"https://github.com/chin-gyou/improving-variational-encoder-decoders-in-dialogue-generation/issues/1","id":311937770,"number":1,"title":"Can't train model with dialogue length limit=500 on even NVIDIA Volta GPU","user":{"login":"dimeldo","id":20453742,"avatar_url":"https://avatars1.githubusercontent.com/u/20453742?v=4","gravatar_id":"","url":"https://api.github.com/users/dimeldo","html_url":"https://github.com/dimeldo","followers_url":"https://api.github.com/users/dimeldo/followers","following_url":"https://api.github.com/users/dimeldo/following{/other_user}","gists_url":"https://api.github.com/users/dimeldo/gists{/gist_id}","starred_url":"https://api.github.com/users/dimeldo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dimeldo/subscriptions","organizations_url":"https://api.github.com/users/dimeldo/orgs","repos_url":"https://api.github.com/users/dimeldo/repos","events_url":"https://api.github.com/users/dimeldo/events{/privacy}","received_events_url":"https://api.github.com/users/dimeldo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-06T11:15:40Z","updated_at":"2018-04-06T11:15:40Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\n\r\nI want to train my dataset with dataproducer.py limit set to 500. It seems like https://github.com/snakeztc/NeuralDialog-CVAE can easily handle that and even bigger (limit=1000) with batch size 128. I'm using NVIDIA Volta GPU.\r\n\r\nThere'es some inefficiency going on here that I can't seem to solve.\r\nDo you have any idea how can I go about solving this?\r\n\r\nThanks."}}
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