{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/10251","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/10251/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/10251/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/10251/events","html_url":"https://github.com/tensorflow/tensorflow/issues/10251","id":231807827,"number":10251,"title":"Support for custom input producers","user":{"login":"Androbin","id":16437156,"avatar_url":"https://avatars2.githubusercontent.com/u/16437156?v=3","gravatar_id":"","url":"https://api.github.com/users/Androbin","html_url":"https://github.com/Androbin","followers_url":"https://api.github.com/users/Androbin/followers","following_url":"https://api.github.com/users/Androbin/following{/other_user}","gists_url":"https://api.github.com/users/Androbin/gists{/gist_id}","starred_url":"https://api.github.com/users/Androbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Androbin/subscriptions","organizations_url":"https://api.github.com/users/Androbin/orgs","repos_url":"https://api.github.com/users/Androbin/repos","events_url":"https://api.github.com/users/Androbin/events{/privacy}","received_events_url":"https://api.github.com/users/Androbin/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-05-27T15:18:23Z","updated_at":"2017-05-27T20:26:52Z","closed_at":null,"body":"This is a **feature request** for being able to create **custom functions to feed examples into input pipelines**. Existing ops are designed to read **pre-defined formats**. Although it is entirely possible to pre-process all the data beforehand, I felt like it shouldn't be necessary, especially in realtime environments. I am sure, a lot of people would be glad if they could **pass TensorFlow a lambda to use to generate the batches directly** instead of either pre-processing them into the [standard tensorflow format](https://www.tensorflow.org/versions/r1.2/programmers_guide/reading_data#standard_tensorflow_format) a having to set up all of the IO nonsense or using the not very scalable option of python dicts (according to the [performance guide](https://www.tensorflow.org/versions/r1.2/performance/performance_guide#utilize_queues_for_reading_data)).\r\n\r\n[Please tell me if there already exists such a solution, I didn't find a way.]"},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/304474740","html_url":"https://github.com/tensorflow/tensorflow/issues/10251#issuecomment-304474740","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/10251","id":304474740,"user":{"login":"Androbin","id":16437156,"avatar_url":"https://avatars2.githubusercontent.com/u/16437156?v=3","gravatar_id":"","url":"https://api.github.com/users/Androbin","html_url":"https://github.com/Androbin","followers_url":"https://api.github.com/users/Androbin/followers","following_url":"https://api.github.com/users/Androbin/following{/other_user}","gists_url":"https://api.github.com/users/Androbin/gists{/gist_id}","starred_url":"https://api.github.com/users/Androbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Androbin/subscriptions","organizations_url":"https://api.github.com/users/Androbin/orgs","repos_url":"https://api.github.com/users/Androbin/repos","events_url":"https://api.github.com/users/Androbin/events{/privacy}","received_events_url":"https://api.github.com/users/Androbin/received_events","type":"User","site_admin":false},"created_at":"2017-05-27T20:26:52Z","updated_at":"2017-05-27T20:26:52Z","body":"What currently can be done: Loading TFRecords, CSV files and whatever format has support\r\nWhat currently isn't as easy: Loading a unknown/custom format and/or applying custom pre-processing before enqueuing the data"}}
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