{"action":"opened","issue":{"url":"https://api.github.com/repos/nengo/nengo-dl/issues/75","repository_url":"https://api.github.com/repos/nengo/nengo-dl","labels_url":"https://api.github.com/repos/nengo/nengo-dl/issues/75/labels{/name}","comments_url":"https://api.github.com/repos/nengo/nengo-dl/issues/75/comments","events_url":"https://api.github.com/repos/nengo/nengo-dl/issues/75/events","html_url":"https://github.com/nengo/nengo-dl/issues/75","id":391231915,"node_id":"MDU6SXNzdWUzOTEyMzE5MTU=","number":75,"title":"Input performance considerations","user":{"login":"hunse","id":1952250,"node_id":"MDQ6VXNlcjE5NTIyNTA=","avatar_url":"https://avatars1.githubusercontent.com/u/1952250?v=4","gravatar_id":"","url":"https://api.github.com/users/hunse","html_url":"https://github.com/hunse","followers_url":"https://api.github.com/users/hunse/followers","following_url":"https://api.github.com/users/hunse/following{/other_user}","gists_url":"https://api.github.com/users/hunse/gists{/gist_id}","starred_url":"https://api.github.com/users/hunse/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hunse/subscriptions","organizations_url":"https://api.github.com/users/hunse/orgs","repos_url":"https://api.github.com/users/hunse/repos","events_url":"https://api.github.com/users/hunse/events{/privacy}","received_events_url":"https://api.github.com/users/hunse/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-14T19:12:55Z","updated_at":"2018-12-14T19:12:55Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"I was just reading [this page](https://www.tensorflow.org/guide/performance/overview#data_formats), and it recommends not using `feed_dict` with `sess.run`, since apparently it's often slow. This is how `nengo_dl` currently does things.\r\n\r\nThe first step is to determine if this is actually a problem in `nengo_dl`, by benchmarking the `feed_dict` method versus other alternatives (I'm not sure what alternatives there all are)."}}
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