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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/09/02 02:09:30 UTC

[GitHub] [incubator-mxnet] Zheweiqiu commented on issue #15892: retinaface model to onnx

Zheweiqiu commented on issue #15892: retinaface model to onnx
URL: https://github.com/apache/incubator-mxnet/issues/15892#issuecomment-526977705
 
 
   > > > > Thanks @vandanavk for trying out. I go this error at first. After I googled, according to this [answer](https://github.com/onnx/onnx/issues/1954) I replace all "SoftmaxActivation" with "softmax" in the *.json file. Then I got the error stated in the question. Do I need to re-train the model using op "softmax" instead of "SoftmaxActivation"?
   > > > > Thanks!
   > > > 
   > > > 
   > > > Retraining with softmax would be the best solution, since SoftmaxActivation has been deprecated.
   > > 
   > > 
   > > I tried remove the attribute mode for softmax operator but got the following error:
   > > AttributeError: No conversion function registered for op type UpSampling yet.
   > > I believe same problem will be encountered even if I retrain the model and I see this issue is still working in progress.
   > > Thanks for your reply!
   > 
   > Support for Upsampling operator is currently in review. Operator changes in #15811 and ONNX support in #15994. You could pull in these changes and build locally to try immediately. Else, you could watch out for these 2 PRs getting merged.
   
   The mxnet was installed using pip command. Do I need to uninstall it and rebuild it from source to reflect those changes?

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