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https://issues.apache.org/jira/browse/MXNET-1234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pedro Larroy updated MXNET-1234:
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Resolution: Fixed
Status: Done (was: To Do)
> Activation gradient (backward pass) has bugs on shape inference
> ---------------------------------------------------------------
>
> Key: MXNET-1234
> URL: https://issues.apache.org/jira/browse/MXNET-1234
> Project: Apache MXNet
> Issue Type: Bug
> Components: Apache MXNet Backend
> Reporter: Pedro Larroy
> Priority: Major
> Time Spent: 6h 40m
> Remaining Estimate: 0h
>
> Shape inference is not working well for the Activation backward pass and
> triggering assertions since it has different number of inputs depending on
> the type of activation such as relu, softsign etc. This logic is not
> correctly handled and the C++ fail on some build configurations
> (CPU/MKL/GPU+MKL/GPU etc).
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