{"action":"created","issue":{"url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/5","repository_url":"https://api.github.com/repos/alrojo/tensorflow-tutorial","labels_url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/5/labels{/name}","comments_url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/5/comments","events_url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/5/events","html_url":"https://github.com/alrojo/tensorflow-tutorial/issues/5","id":180615763,"number":5,"title":"How to make prediction for new cases in lab3_RNN ?","user":{"login":"s4sarath","id":10637096,"avatar_url":"https://avatars.githubusercontent.com/u/10637096?v=3","gravatar_id":"","url":"https://api.github.com/users/s4sarath","html_url":"https://github.com/s4sarath","followers_url":"https://api.github.com/users/s4sarath/followers","following_url":"https://api.github.com/users/s4sarath/following{/other_user}","gists_url":"https://api.github.com/users/s4sarath/gists{/gist_id}","starred_url":"https://api.github.com/users/s4sarath/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/s4sarath/subscriptions","organizations_url":"https://api.github.com/users/s4sarath/orgs","repos_url":"https://api.github.com/users/s4sarath/repos","events_url":"https://api.github.com/users/s4sarath/events{/privacy}","received_events_url":"https://api.github.com/users/s4sarath/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2016-10-03T11:14:47Z","updated_at":"2016-11-04T15:01:30Z","closed_at":null,"body":"Hi ,\n\nIts more or like a pull request . You have defined both training and validation in the decoder itself . So , I know the idea behind making new prediction .\n\nThe problem with the validation inside tf_utils.decoder is , it is always expecting the target . \nBut for making a prediction ( without having targets , basically predicting the target ) , we need to have a separate function . How to write that ? I know , the idea , taking the first target as EOS , and then keep on finding the argmax until we reach max_length or another EOS . Can you help to make a function , doing the same ? \n"},"comment":{"url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/comments/258454990","html_url":"https://github.com/alrojo/tensorflow-tutorial/issues/5#issuecomment-258454990","issue_url":"https://api.github.com/repos/alrojo/tensorflow-tutorial/issues/5","id":258454990,"user":{"login":"alrojo","id":12167999,"avatar_url":"https://avatars.githubusercontent.com/u/12167999?v=3","gravatar_id":"","url":"https://api.github.com/users/alrojo","html_url":"https://github.com/alrojo","followers_url":"https://api.github.com/users/alrojo/followers","following_url":"https://api.github.com/users/alrojo/following{/other_user}","gists_url":"https://api.github.com/users/alrojo/gists{/gist_id}","starred_url":"https://api.github.com/users/alrojo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alrojo/subscriptions","organizations_url":"https://api.github.com/users/alrojo/orgs","repos_url":"https://api.github.com/users/alrojo/repos","events_url":"https://api.github.com/users/alrojo/events{/privacy}","received_events_url":"https://api.github.com/users/alrojo/received_events","type":"User","site_admin":false},"created_at":"2016-11-04T15:01:29Z","updated_at":"2016-11-04T15:01:29Z","body":"Hi @s4sarath , I have been working with the TensorFlow team on something that would accomplish that.\r\nYou can checkout this [PR](https://github.com/tensorflow/tensorflow/pull/4686)"}}
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