Thanks Patric, appreciate your contributions. I looked at your design proposal. I'm missing any statements about validation of correctness and performance of the integrated solution. I would suggest to pay more attention to this aspect as we struggled in previously releases with the quality of the integration. As you know, we still have too many issues on MKL-DNN integration to move from experimental to GA stage. Regards, Steffen
On Thu, Jun 21, 2018 at 12:09 AM Zhao, Patric <[email protected]> wrote: > Hi MXNET owner, > > Recently, we (Intel engineers) have implemented the fused RNN operations > (LSTM/GRU/vRNN) for the CPU, including bidirectional, multiple layers, > inference/training. > The LSTM and GRU PR was merged and vRNN code will be PR soon. > > The new APIs make the gluon and symbolic models much faster :) > > Thus, I have added a new row in the 1.3 proposal table and hope the end > user can leverage the new feature easily. > > > https://cwiki.apache.org/confluence/display/MXNET/Project+Proposals+for+next+MXNet+Release > > Feel free to let me know for any feedbacks and suggestions. > > BR, > > Thanks, > > --Patric > >
