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Posted to issues@mxnet.apache.org by "Xingjian Shi (JIRA)" <ji...@apache.org> on 2018/03/07 05:01:00 UTC

[jira] [Created] (MXNET-31) Support variable sequence length in gluon.RecurrentCell

Xingjian Shi created MXNET-31:
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             Summary: 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


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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