{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1322","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1322/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1322/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1322/events","html_url":"https://github.com/tensorflow/tensorflow/issues/1322","id":136979290,"number":1322,"title":"Custom padding for convolutions","user":{"login":"jeandut","id":11030901,"avatar_url":"https://avatars.githubusercontent.com/u/11030901?v=3","gravatar_id":"","url":"https://api.github.com/users/jeandut","html_url":"https://github.com/jeandut","followers_url":"https://api.github.com/users/jeandut/followers","following_url":"https://api.github.com/users/jeandut/following{/other_user}","gists_url":"https://api.github.com/users/jeandut/gists{/gist_id}","starred_url":"https://api.github.com/users/jeandut/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jeandut/subscriptions","organizations_url":"https://api.github.com/users/jeandut/orgs","repos_url":"https://api.github.com/users/jeandut/repos","events_url":"https://api.github.com/users/jeandut/events{/privacy}","received_events_url":"https://api.github.com/users/jeandut/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2016-02-27T23:02:31Z","updated_at":"2016-02-28T01:14:04Z","closed_at":null,"body":"For the moment it looks like TF only supports VALID or SAME convolutions ? Is there a clever work around to do custom padding convolutions like having a padding of length h defined by the user like in this [neon implementation](http://neon.nervanasys.com/docs/latest/generated/neon.layers.layer.Conv.html) ? Is implementing it in the pipeline ?\r\n"},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/189756309","html_url":"https://github.com/tensorflow/tensorflow/issues/1322#issuecomment-189756309","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/1322","id":189756309,"user":{"login":"Dringite","id":17135606,"avatar_url":"https://avatars.githubusercontent.com/u/17135606?v=3","gravatar_id":"","url":"https://api.github.com/users/Dringite","html_url":"https://github.com/Dringite","followers_url":"https://api.github.com/users/Dringite/followers","following_url":"https://api.github.com/users/Dringite/following{/other_user}","gists_url":"https://api.github.com/users/Dringite/gists{/gist_id}","starred_url":"https://api.github.com/users/Dringite/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Dringite/subscriptions","organizations_url":"https://api.github.com/users/Dringite/orgs","repos_url":"https://api.github.com/users/Dringite/repos","events_url":"https://api.github.com/users/Dringite/events{/privacy}","received_events_url":"https://api.github.com/users/Dringite/received_events","type":"User","site_admin":false},"created_at":"2016-02-28T01:14:04Z","updated_at":"2016-02-28T01:14:04Z","body":"I'm confused as to why you would even need this. Doing a 3x3 kernel conv with SAME does padding of 1. 5x5 does padding of 2, etc..."}}