{"action":"opened","issue":{"url":"https://api.github.com/repos/onnx/onnx/issues/1558","repository_url":"https://api.github.com/repos/onnx/onnx","labels_url":"https://api.github.com/repos/onnx/onnx/issues/1558/labels{/name}","comments_url":"https://api.github.com/repos/onnx/onnx/issues/1558/comments","events_url":"https://api.github.com/repos/onnx/onnx/issues/1558/events","html_url":"https://github.com/onnx/onnx/issues/1558","id":374558118,"node_id":"MDU6SXNzdWUzNzQ1NTgxMTg=","number":1558,"title":"Upsample linear mode: how to deal with the last data in the most inner 2 dimension?","user":{"login":"HectorSVC","id":29932710,"node_id":"MDQ6VXNlcjI5OTMyNzEw","avatar_url":"https://avatars3.githubusercontent.com/u/29932710?v=4","gravatar_id":"","url":"https://api.github.com/users/HectorSVC","html_url":"https://github.com/HectorSVC","followers_url":"https://api.github.com/users/HectorSVC/followers","following_url":"https://api.github.com/users/HectorSVC/following{/other_user}","gists_url":"https://api.github.com/users/HectorSVC/gists{/gist_id}","starred_url":"https://api.github.com/users/HectorSVC/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HectorSVC/subscriptions","organizations_url":"https://api.github.com/users/HectorSVC/orgs","repos_url":"https://api.github.com/users/HectorSVC/repos","events_url":"https://api.github.com/users/HectorSVC/events{/privacy}","received_events_url":"https://api.github.com/users/HectorSVC/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-26T21:46:25Z","updated_at":"2018-10-26T21:46:25Z","closed_at":null,"author_association":"NONE","body":"Regarding to the PR: https://github.com/onnx/onnx/pull/1295\r\nThe Onnx spec is not clear on this. For the last data in the most inner 2 dimensions, should we\r\n\r\n- copy them to the end, then do interpolation before it, \r\nor \r\n- just fork them at the end multiple times specified by the scales\r\n"}}
{"actor":{"display_login":"HectorSVC"}}