Shufflenet has an old version of BatchNormalization op (that uses consumed_inputs)

[spandantiwari]

The Shufflenet model in this repo has an older version of BatchNormalization op in the model, that uses the attribute consumed_inputs. There are two issues with this:

1. This version is quite old and several frameworks that support ONNX do not have support for it.
2. Furthermore, the older version's spec does not have a good description for this attribute.

Is it possible to remove this attribute from the model and generate the model with the latest version of the BatchNormzalization op?

[spandantiwari]

@houseroad - I was expecting to see other models also to not have "consumed_inputs" attribute for BatchNormalization based on this post (#13), but I am seeing it in others as well, such as Resnet50. Could this just be an issue of the links pointing to the older models?

[houseroad]

Please try https://s3.amazonaws.com/download.onnx/models/opset_6/resnet50.tar.gz

[spandantiwari]

Yes, this model is fine.

[prasanthpul]

@houseroad @jspisak can you update the READMEs of all the models to list the right links? This is impacting many users. Using the new README template would be ideal

[houseroad]

@prasanthpul thanks for reminding this. I will update it soon.

[spandantiwari]

@houseroad - thanks for that. I am also wondering if we can have links to the older (opset < 6) models as well somewhere just because we have the models anyway?

[houseroad]

@spandantiwari Yes, I have listed two major versions, opset_3 (stable version with release 1.1.0) and opset_6 (master branch)

[spandantiwari]

Awesome! Thanks @houseroad .