{"action":"created","issue":{"url":"https://api.github.com/repos/pytorch/text/issues/55","repository_url":"https://api.github.com/repos/pytorch/text","labels_url":"https://api.github.com/repos/pytorch/text/issues/55/labels{/name}","comments_url":"https://api.github.com/repos/pytorch/text/issues/55/comments","events_url":"https://api.github.com/repos/pytorch/text/issues/55/events","html_url":"https://github.com/pytorch/text/issues/55","id":241552374,"number":55,"title":"Restart Iterator from a particular Epoch and Batch","user":{"login":"Deepblue129","id":7424737,"avatar_url":"https://avatars1.githubusercontent.com/u/7424737?v=3","gravatar_id":"","url":"https://api.github.com/users/Deepblue129","html_url":"https://github.com/Deepblue129","followers_url":"https://api.github.com/users/Deepblue129/followers","following_url":"https://api.github.com/users/Deepblue129/following{/other_user}","gists_url":"https://api.github.com/users/Deepblue129/gists{/gist_id}","starred_url":"https://api.github.com/users/Deepblue129/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Deepblue129/subscriptions","organizations_url":"https://api.github.com/users/Deepblue129/orgs","repos_url":"https://api.github.com/users/Deepblue129/repos","events_url":"https://api.github.com/users/Deepblue129/events{/privacy}","received_events_url":"https://api.github.com/users/Deepblue129/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2017-07-09T20:00:35Z","updated_at":"2017-07-09T20:53:13Z","closed_at":null,"body":"For Machine Learning tasks, it's useful to be able to restart the task at a checkpoint. For the iterator implementation, it looks it's not possible to start the iterator at an arbitrary epoch and batch. "},"comment":{"url":"https://api.github.com/repos/pytorch/text/issues/comments/313954122","html_url":"https://github.com/pytorch/text/issues/55#issuecomment-313954122","issue_url":"https://api.github.com/repos/pytorch/text/issues/55","id":313954122,"user":{"login":"jekbradbury","id":11729078,"avatar_url":"https://avatars1.githubusercontent.com/u/11729078?v=3","gravatar_id":"","url":"https://api.github.com/users/jekbradbury","html_url":"https://github.com/jekbradbury","followers_url":"https://api.github.com/users/jekbradbury/followers","following_url":"https://api.github.com/users/jekbradbury/following{/other_user}","gists_url":"https://api.github.com/users/jekbradbury/gists{/gist_id}","starred_url":"https://api.github.com/users/jekbradbury/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jekbradbury/subscriptions","organizations_url":"https://api.github.com/users/jekbradbury/orgs","repos_url":"https://api.github.com/users/jekbradbury/repos","events_url":"https://api.github.com/users/jekbradbury/events{/privacy}","received_events_url":"https://api.github.com/users/jekbradbury/received_events","type":"User","site_admin":false},"created_at":"2017-07-09T20:53:13Z","updated_at":"2017-07-09T20:53:13Z","body":"Currently `Iterator` and `BucketIterator` without shuffling work even for datasets that are only provided as a generator (e.g. infinite synthetic datasets or datasets that are too big to load all at once) and I’d like to keep that."}}
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