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Subject [GitHub] [singa] dcslin commented on issue #662: [wip] cudnn Rnn
Date Thu, 09 Apr 2020 13:01:36 GMT
dcslin commented on issue #662: [wip] cudnn Rnn
   It is basically follow autograd LSTM structure, with additional arguments added. 
   And the data input and output are following previous convention, which is also the cudnn
convention. Input are in a array of {batch size, feature dim} with length - seq length/time
   I have not edit before, kindly advise anything wrong. Thanks

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