Dear MXNet community, This is the vote to release Apache MXNet (incubating) version 1.6.0. Voting starts today and will close on Friday 1/10/2020 23:59 PST.
Link to release notes: https://cwiki.apache.org/confluence/display/MXNET/1.6.0+Release+notes Link to release candidate: https://github.com/apache/incubator-mxnet/releases/tag/1.6.0.rc1 Link to source and signatures on apache dist server: https://dist.apache.org/repos/dist/dev/incubator/mxnet/1.6.0.rc1/ The differences comparing to previous release candidate 1.6.0.rc0: * Fix for RNN gradient calculation for MKLDNN ([v1.6.x] Cherry-pick MKL-DNN Rnn operator enhancements to v1.6.x (#17225)) * Fix for Windows CMake build (Backport #16980 #17031 #17018 #17019 to 1.6 branch (#17213)) * CPU counterpart to contrib multihead attention operators (Interleaved MHA for CPU path (#17138) (#17211)) * Fix for #16060 (fix norm sparse fallback (#17149)) * Fix for inconsistent names in estimator API (fix parameter names in the estimator api (#17051) (#17162)) * Fixes for OpenMP (Backport 3rdparty/openmp fixes (#17193)) * Fix for pointwise fusion speed for large networks (which was the reason of -1 in the vote for rc0) as well as fixes for nondeterminism in sum of squares operator and trainer parameter order (Backport #17002, #17068 and #17114 to 1.6 branch (#17137)) Please remember to TEST first before voting accordingly: +1 = approve +0 = no opinion -1 = disapprove (provide reason) Best regards, Przemyslaw Tredak
