{"action":"closed","issue":{"url":"https://api.github.com/repos/gan3sh500/kervolution-pytorch/issues/4","repository_url":"https://api.github.com/repos/gan3sh500/kervolution-pytorch","labels_url":"https://api.github.com/repos/gan3sh500/kervolution-pytorch/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/gan3sh500/kervolution-pytorch/issues/4/comments","events_url":"https://api.github.com/repos/gan3sh500/kervolution-pytorch/issues/4/events","html_url":"https://github.com/gan3sh500/kervolution-pytorch/issues/4","id":448030957,"node_id":"MDU6SXNzdWU0NDgwMzA5NTc=","number":4,"title":"the following two code can compute the same as your code,why do we unfold the matrix to compute","user":{"login":"ccijunk","id":50870921,"node_id":"MDQ6VXNlcjUwODcwOTIx","avatar_url":"https://avatars1.githubusercontent.com/u/50870921?v=4","gravatar_id":"","url":"https://api.github.com/users/ccijunk","html_url":"https://github.com/ccijunk","followers_url":"https://api.github.com/users/ccijunk/followers","following_url":"https://api.github.com/users/ccijunk/following{/other_user}","gists_url":"https://api.github.com/users/ccijunk/gists{/gist_id}","starred_url":"https://api.github.com/users/ccijunk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ccijunk/subscriptions","organizations_url":"https://api.github.com/users/ccijunk/orgs","repos_url":"https://api.github.com/users/ccijunk/repos","events_url":"https://api.github.com/users/ccijunk/events{/privacy}","received_events_url":"https://api.github.com/users/ccijunk/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2019-05-24T07:58:57Z","updated_at":"2019-05-24T08:43:34Z","closed_at":"2019-05-24T08:43:33Z","author_association":"NONE","body":"```\r\n        x=F.conv2d(x, self.weight, self.bias, self.stride,\r\n                        self.padding, self.dilation, self.groups)\r\n          (x+cp)**dp\r\n```\r\n"}}
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