Hi Alex, Regarding RNN, the first version of MKL-DNN RNN API is available in the MKL-DNN master branch. We have integrated it in our local branch and you can try our code (still in developments).
https://github.com/lihaofd/incubator-mxnet/blob/mkldnn-rnn/src/operator/nn/mkldnn/mkldnn_rnn_impl.h We plan to PR our integration into MXNET master when both functionality and performance are qualified. Thanks, --Patric > -----Original Message----- > From: Alex Zai [mailto:aza...@gmail.com] > Sent: Wednesday, July 4, 2018 1:17 AM > To: dev@mxnet.incubator.apache.org > Subject: MKLDNN Integration Stable Release > > We are preparing a stable release of MKL-DNN integration in 1.3.0 > (experimental since 1.2.0), which supports acceleration of operations such as > Convolution, Deconvolution, FullyConnected, Pooling, Batch Normalization, > Activation, LRN, Softmax. Currently the RNN operator is not supported as the > MKL-DNN API is still experimental; however, they hope to release a more > stable version RNN API this or next week in MKL-DNN 0.15. > > We will have CPP unit test support on these operators and I am planning to > write python unit tests to compare a RNN network's results from the MKLDNN > backend with that of the GPU to test accuracy. Is there any additional > coverage > that you think we should cover in the next two weeks? > > Alex
