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https://issues.apache.org/jira/browse/SINGA-324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16068193#comment-16068193
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ASF subversion and git services commented on SINGA-324:
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Commit 2ce7229ad688f54b7fb88fe46c23e771dfb87365 in incubator-singa's branch
refs/heads/master from [~foxconnwang...@163.com]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=2ce7229 ]
SINGA-324 Extend RNN layer to accept variant seq length across batches
The cudnn rnn layer is updated to handle mini-batches with
different seq lengths. The internal data structures are re-allocated if
max_length_ < seq_length_ (the longest sample of the current
mini-batch).
> Extend RNN layer to accept variant seq length across batches
> ------------------------------------------------------------
>
> Key: SINGA-324
> URL: https://issues.apache.org/jira/browse/SINGA-324
> Project: Singa
> Issue Type: Improvement
> Reporter: wangwei
>
> The current RNN layer can accept samples with different length within one
> mini-batch, however, it assumes that the longest samples of each mini-batch
> is the same, i.e. seq_length is fixed.
> To make it more flexible, this ticket will extend the RNN layer to accept
> mini-batches with different longest samples.
> In particular, we will set two variables, max_length_ and seq_length_, where
> the first one is for the max seq length over all mini-batches, and the
> seq_length_ is the effective seq length for the current mini-batch, which is
> updated based on the input data for every iteration (mini-batch). The
> max_length_ is updated when max_length_ < seq_length_.
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