{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1940","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1940/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1940/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1940/events","html_url":"https://github.com/tensorflow/tensorflow/issues/1940","id":148358834,"number":1940,"title":"convolution on dimension variable inputs ","user":{"login":"ahmed-touati","id":9800831,"avatar_url":"https://avatars.githubusercontent.com/u/9800831?v=3","gravatar_id":"","url":"https://api.github.com/users/ahmed-touati","html_url":"https://github.com/ahmed-touati","followers_url":"https://api.github.com/users/ahmed-touati/followers","following_url":"https://api.github.com/users/ahmed-touati/following{/other_user}","gists_url":"https://api.github.com/users/ahmed-touati/gists{/gist_id}","starred_url":"https://api.github.com/users/ahmed-touati/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ahmed-touati/subscriptions","organizations_url":"https://api.github.com/users/ahmed-touati/orgs","repos_url":"https://api.github.com/users/ahmed-touati/repos","events_url":"https://api.github.com/users/ahmed-touati/events{/privacy}","received_events_url":"https://api.github.com/users/ahmed-touati/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2016-04-14T13:18:07Z","updated_at":"2016-06-06T23:40:54Z","closed_at":"2016-06-06T23:40:54Z","body":"I would like to perform a convolution on dimension variable inputs. \r\nThe only solution I find and I think that it would work is to perform a convolution on each input and perform a scan on batch_size. I think this is not optimal.\r\nIs there another function or method to do this differently in TensorFlow?\r\n\r\nThanks in advance. "},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/224121410","html_url":"https://github.com/tensorflow/tensorflow/issues/1940#issuecomment-224121410","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1940","id":224121410,"user":{"login":"girving","id":70511,"avatar_url":"https://avatars.githubusercontent.com/u/70511?v=3","gravatar_id":"","url":"https://api.github.com/users/girving","html_url":"https://github.com/girving","followers_url":"https://api.github.com/users/girving/followers","following_url":"https://api.github.com/users/girving/following{/other_user}","gists_url":"https://api.github.com/users/girving/gists{/gist_id}","starred_url":"https://api.github.com/users/girving/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/girving/subscriptions","organizations_url":"https://api.github.com/users/girving/orgs","repos_url":"https://api.github.com/users/girving/repos","events_url":"https://api.github.com/users/girving/events{/privacy}","received_events_url":"https://api.github.com/users/girving/received_events","type":"User","site_admin":false},"created_at":"2016-06-06T23:40:54Z","updated_at":"2016-06-06T23:40:54Z","body":"I'm going to close, since I don't think this is feasible in TensorFlow in a performant manner.  Everything down to cuDNN assumes rectangular tensors, and uses this assumption to arrange for high arithmetic intensity.  Fancy approaches which do manual tiling of irregularly sizes images are possible, but those would be a layer on top of tensorflow (or possibly something in `tf.contrib`)."}}
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