{"action":"opened","issue":{"url":"https://api.github.com/repos/onnx/onnx/issues/1349","repository_url":"https://api.github.com/repos/onnx/onnx","labels_url":"https://api.github.com/repos/onnx/onnx/issues/1349/labels{/name}","comments_url":"https://api.github.com/repos/onnx/onnx/issues/1349/comments","events_url":"https://api.github.com/repos/onnx/onnx/issues/1349/events","html_url":"https://github.com/onnx/onnx/issues/1349","id":355374171,"node_id":"MDU6SXNzdWUzNTUzNzQxNzE=","number":1349,"title":"InstanceNormalization scale and bias are represented as constant tensors","user":{"login":"maksimgusarovsc","id":16618374,"node_id":"MDQ6VXNlcjE2NjE4Mzc0","avatar_url":"https://avatars0.githubusercontent.com/u/16618374?v=4","gravatar_id":"","url":"https://api.github.com/users/maksimgusarovsc","html_url":"https://github.com/maksimgusarovsc","followers_url":"https://api.github.com/users/maksimgusarovsc/followers","following_url":"https://api.github.com/users/maksimgusarovsc/following{/other_user}","gists_url":"https://api.github.com/users/maksimgusarovsc/gists{/gist_id}","starred_url":"https://api.github.com/users/maksimgusarovsc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maksimgusarovsc/subscriptions","organizations_url":"https://api.github.com/users/maksimgusarovsc/orgs","repos_url":"https://api.github.com/users/maksimgusarovsc/repos","events_url":"https://api.github.com/users/maksimgusarovsc/events{/privacy}","received_events_url":"https://api.github.com/users/maksimgusarovsc/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-29T23:52:26Z","updated_at":"2018-08-29T23:52:26Z","closed_at":null,"author_association":"NONE","body":"I'm exporting a model with InstanceNormalization from Pytorch to ONNX. For some reason in ONNX InstanceNormalization's scale and bias parameters are represented as stand-alone **constant layers**, while all other parameters like BatchNormalization's scale, bias, mean, variance, etc. are represented as **initializers**. Can you guys comment on why there's such inconsistency? "}}
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