{"action":"created","issue":{"url":"https://api.github.com/repos/pytorch/pytorch/issues/5456","repository_url":"https://api.github.com/repos/pytorch/pytorch","labels_url":"https://api.github.com/repos/pytorch/pytorch/issues/5456/labels{/name}","comments_url":"https://api.github.com/repos/pytorch/pytorch/issues/5456/comments","events_url":"https://api.github.com/repos/pytorch/pytorch/issues/5456/events","html_url":"https://github.com/pytorch/pytorch/pull/5456","id":300956505,"number":5456,"title":"Add upsample_bilinear2d to onnx/symbolic.py","user":{"login":"kkk669","id":601636,"avatar_url":"https://avatars2.githubusercontent.com/u/601636?v=4","gravatar_id":"","url":"https://api.github.com/users/kkk669","html_url":"https://github.com/kkk669","followers_url":"https://api.github.com/users/kkk669/followers","following_url":"https://api.github.com/users/kkk669/following{/other_user}","gists_url":"https://api.github.com/users/kkk669/gists{/gist_id}","starred_url":"https://api.github.com/users/kkk669/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kkk669/subscriptions","organizations_url":"https://api.github.com/users/kkk669/orgs","repos_url":"https://api.github.com/users/kkk669/repos","events_url":"https://api.github.com/users/kkk669/events{/privacy}","received_events_url":"https://api.github.com/users/kkk669/received_events","type":"User","site_admin":false},"labels":[{"id":693805995,"url":"https://api.github.com/repos/pytorch/pytorch/labels/onnx","name":"onnx","color":"e99695","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-28T09:47:32Z","updated_at":"2018-03-01T17:19:53Z","closed_at":null,"author_association":"NONE","pull_request":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/5456","html_url":"https://github.com/pytorch/pytorch/pull/5456","diff_url":"https://github.com/pytorch/pytorch/pull/5456.diff","patch_url":"https://github.com/pytorch/pytorch/pull/5456.patch"},"body":"This function is needed to convert a PyTorch model that uses `UpsamplingBilinear2d` to an ONNX one.\r\n\r\nHowever the ONNX's operator `Upsample` is experimental now, the nearest mode is already used in PyTorch [here](https://github.com/pytorch/pytorch/blob/847fad70a9846e9005867ea7ce000d564b5af708/torch/onnx/symbolic.py#L415), so I think this change should be no problem."},"comment":{"url":"https://api.github.com/repos/pytorch/pytorch/issues/comments/369663994","html_url":"https://github.com/pytorch/pytorch/pull/5456#issuecomment-369663994","issue_url":"https://api.github.com/repos/pytorch/pytorch/issues/5456","id":369663994,"user":{"login":"ezyang","id":13564,"avatar_url":"https://avatars0.githubusercontent.com/u/13564?v=4","gravatar_id":"","url":"https://api.github.com/users/ezyang","html_url":"https://github.com/ezyang","followers_url":"https://api.github.com/users/ezyang/followers","following_url":"https://api.github.com/users/ezyang/following{/other_user}","gists_url":"https://api.github.com/users/ezyang/gists{/gist_id}","starred_url":"https://api.github.com/users/ezyang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ezyang/subscriptions","organizations_url":"https://api.github.com/users/ezyang/orgs","repos_url":"https://api.github.com/users/ezyang/repos","events_url":"https://api.github.com/users/ezyang/events{/privacy}","received_events_url":"https://api.github.com/users/ezyang/received_events","type":"User","site_admin":false},"created_at":"2018-03-01T17:19:53Z","updated_at":"2018-03-01T17:19:53Z","author_association":"COLLABORATOR","body":"@pytorchbot test this please"}}
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