{"action":"created","issue":{"url":"https://api.github.com/repos/NervanaSystems/neon/issues/296","repository_url":"https://api.github.com/repos/NervanaSystems/neon","labels_url":"https://api.github.com/repos/NervanaSystems/neon/issues/296/labels{/name}","comments_url":"https://api.github.com/repos/NervanaSystems/neon/issues/296/comments","events_url":"https://api.github.com/repos/NervanaSystems/neon/issues/296/events","html_url":"https://github.com/NervanaSystems/neon/issues/296","id":176278695,"number":296,"title":"Grouped convolutions","user":{"login":"ibmua","id":2233511,"avatar_url":"https://avatars.githubusercontent.com/u/2233511?v=3","gravatar_id":"","url":"https://api.github.com/users/ibmua","html_url":"https://github.com/ibmua","followers_url":"https://api.github.com/users/ibmua/followers","following_url":"https://api.github.com/users/ibmua/following{/other_user}","gists_url":"https://api.github.com/users/ibmua/gists{/gist_id}","starred_url":"https://api.github.com/users/ibmua/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ibmua/subscriptions","organizations_url":"https://api.github.com/users/ibmua/orgs","repos_url":"https://api.github.com/users/ibmua/repos","events_url":"https://api.github.com/users/ibmua/events{/privacy}","received_events_url":"https://api.github.com/users/ibmua/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"thestew42","id":1091272,"avatar_url":"https://avatars.githubusercontent.com/u/1091272?v=3","gravatar_id":"","url":"https://api.github.com/users/thestew42","html_url":"https://github.com/thestew42","followers_url":"https://api.github.com/users/thestew42/followers","following_url":"https://api.github.com/users/thestew42/following{/other_user}","gists_url":"https://api.github.com/users/thestew42/gists{/gist_id}","starred_url":"https://api.github.com/users/thestew42/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/thestew42/subscriptions","organizations_url":"https://api.github.com/users/thestew42/orgs","repos_url":"https://api.github.com/users/thestew42/repos","events_url":"https://api.github.com/users/thestew42/events{/privacy}","received_events_url":"https://api.github.com/users/thestew42/received_events","type":"User","site_admin":false},"assignees":[{"login":"thestew42","id":1091272,"avatar_url":"https://avatars.githubusercontent.com/u/1091272?v=3","gravatar_id":"","url":"https://api.github.com/users/thestew42","html_url":"https://github.com/thestew42","followers_url":"https://api.github.com/users/thestew42/followers","following_url":"https://api.github.com/users/thestew42/following{/other_user}","gists_url":"https://api.github.com/users/thestew42/gists{/gist_id}","starred_url":"https://api.github.com/users/thestew42/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/thestew42/subscriptions","organizations_url":"https://api.github.com/users/thestew42/orgs","repos_url":"https://api.github.com/users/thestew42/repos","events_url":"https://api.github.com/users/thestew42/events{/privacy}","received_events_url":"https://api.github.com/users/thestew42/received_events","type":"User","site_admin":false}],"milestone":null,"comments":6,"created_at":"2016-09-12T01:38:37Z","updated_at":"2016-09-14T22:51:55Z","closed_at":null,"body":"Would you consider adding grouped capability to your convs considering that structures like ResNets can hugely benefit from it GPU computation-wise by moving some of their height into grouped width and therefore becoming much more parallelizable without at least any serious loss in learning potential? As far as I understand, it would be a very slight and easy change to make for a person familiar with the code.\r\nCuDNN in Torch and Caffe already have this feature. Though, relatively poorly implemented, as far as my checks on their performance go. "},"comment":{"url":"https://api.github.com/repos/NervanaSystems/neon/issues/comments/247181180","html_url":"https://github.com/NervanaSystems/neon/issues/296#issuecomment-247181180","issue_url":"https://api.github.com/repos/NervanaSystems/neon/issues/296","id":247181180,"user":{"login":"ibmua","id":2233511,"avatar_url":"https://avatars.githubusercontent.com/u/2233511?v=3","gravatar_id":"","url":"https://api.github.com/users/ibmua","html_url":"https://github.com/ibmua","followers_url":"https://api.github.com/users/ibmua/followers","following_url":"https://api.github.com/users/ibmua/following{/other_user}","gists_url":"https://api.github.com/users/ibmua/gists{/gist_id}","starred_url":"https://api.github.com/users/ibmua/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ibmua/subscriptions","organizations_url":"https://api.github.com/users/ibmua/orgs","repos_url":"https://api.github.com/users/ibmua/repos","events_url":"https://api.github.com/users/ibmua/events{/privacy}","received_events_url":"https://api.github.com/users/ibmua/received_events","type":"User","site_admin":false},"created_at":"2016-09-14T22:51:55Z","updated_at":"2016-09-14T22:51:55Z","body":"Regarding contributions, IMHO, Neon could become a framework of choice for people exploring new concepts that require writing custom CUDA code due to PyCUDA and more overall cleanliness vs Torch/TensorFlow/Caffe. But you guys need to work a bit on clearly explaining how to extend different parts of it. With some rather simple non-cryptic non-SASS examples."}}
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