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https://issues.apache.org/jira/browse/MXNET-31?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389071#comment-16389071
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ASF GitHub Bot commented on MXNET-31:
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piiswrong commented on issue #9934: [MXNET-31] Support variable sequence length
in gluon.RecurrentCell
URL: https://github.com/apache/incubator-mxnet/pull/9934#issuecomment-371034064
@szha Is this ready?
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> Support variable sequence length in gluon.RecurrentCell
> -------------------------------------------------------
>
> Key: MXNET-31
> URL: https://issues.apache.org/jira/browse/MXNET-31
> Project: Apache MXNet
> Issue Type: New Feature
> Reporter: Xingjian Shi
> Assignee: Chris Olivier
> Priority: Major
>
> When the input sequences have different lengths, the common approach is to
> pad them to the same length and feed the padded data into the recurrent
> neural network. To deal with this scenario, this PR adds a new
> {{valid_length}} option in {{unroll}}. {{valid_length}} refers to the real
> length of the sequences before padding. When the {{valid_length}} is given,
> the last valid state will be returned and the padded portion in the output
> will be masked to be zero. This feature is essential for implementing a NMT
> model.
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