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https://issues.apache.org/jira/browse/MXNET-428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Denis Davydenko updated MXNET-428:
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Resolution: Duplicate
Status: Done (was: To Do)
When Float64 is available - this functionality will be available as well.
> Switch data type for NDArray creation
> -------------------------------------
>
> Key: MXNET-428
> URL: https://issues.apache.org/jira/browse/MXNET-428
> Project: Apache MXNet
> Issue Type: Improvement
> Components: Apache MXNet Scala API
> Reporter: Koen Dejonghe
> Priority: Major
>
> [Scala]
> It should be possible to swap the data type from float to double for creation
> of NDArrays, in order to perform gradient checks.
> For more information on gradient checks, see
> http://cs231n.github.io/neural-networks-3/#gradcheck
> As an idea, in ND4J (https://nd4j.org/) it is possible to globally set the
> data type by executing:
> Nd4j.setDataType(DataBuffer.Type.DOUBLE)
> Subsequent nd-arrays will be of type Double.
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