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Posted to issues@mxnet.apache.org by "Jason Yu (JIRA)" <ji...@apache.org> on 2018/09/03 08:43:00 UTC
[jira] [Updated] (MXNET-883) Implementation of einsum operator
[ https://issues.apache.org/jira/browse/MXNET-883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jason Yu updated MXNET-883:
---------------------------
Description:
Einstein summation convention is an expressive and flexible notation for conducting summation along specified axes of a list of tensors. It would greatly simplify some computational operation that would be tricky or complicated to perform without it. ([https://en.wikipedia.org/wiki/Einstein_notation])
As far as I know, numpy, Tensorflow and PyTorch all provide support for it.
[https://www.numpy.org/devdocs/reference/generated/numpy.einsum.html]
[https://pytorch.org/docs/stable/torch.html#torch.einsum]
> Implementation of einsum operator
> ---------------------------------
>
> Key: MXNET-883
> URL: https://issues.apache.org/jira/browse/MXNET-883
> Project: Apache MXNet
> Issue Type: New Feature
> Reporter: Jason Yu
> Priority: Major
>
> Einstein summation convention is an expressive and flexible notation for conducting summation along specified axes of a list of tensors. It would greatly simplify some computational operation that would be tricky or complicated to perform without it. ([https://en.wikipedia.org/wiki/Einstein_notation])
> As far as I know, numpy, Tensorflow and PyTorch all provide support for it.
> [https://www.numpy.org/devdocs/reference/generated/numpy.einsum.html]
> [https://pytorch.org/docs/stable/torch.html#torch.einsum]
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