+1 I built MXNet tag 1.8.0.rc2 from source following instructions on [1] using cmake config file [2] on an Ubuntu 18.04 Deep Learning Base AMI, with CUDA v11.0 and cuDNN v8.0.2, and tested it by running all non operator tests in tests/python/gpu/ folder.
[1] https://github.com/apache/incubator-mxnet/blob/1.8.0.rc2/docs/static_site/src/pages/get_started/build_from_source.md#building-mxnet [2] https://github.com/apache/incubator-mxnet/blob/1.8.0.rc2/config/linux_gpu.cmake Manu Seth On Thu, Oct 29, 2020 at 8:08 PM Skalicky, Sam <[email protected]> wrote: > Dear MXNet community, > > This is the vote to release Apache MXNet (incubating) version 1.8.0. > Voting will start October 29, 20:10:00 PT and close on November 1, 20:10:00 > PT. > > Link to release notes: > https://cwiki.apache.org/confluence/display/MXNET/1.8.0+Release+Notes > > Link to release candidate: > https://github.com/apache/incubator-mxnet/releases/tag/1.8.0.rc2 > > Link to source and signatures on apache dist server: > https://dist.apache.org/repos/dist/dev/incubator/mxnet/1.8.0.rc2 > > Please remember to TEST first before voting accordingly: > +1 = approve > +0 = no opinion > -1 = disapprove (provide reason) > > Here are the changes comparing to 1.8.0.rc1: > > * Updated LICENSE for all submodules > * Updated oneDNN to v1.6.5 for RNN bugfix > * Fixed type issue for broadcast_like > * Fix MKLDNN BatchNorm with even number of channels > * CI enhancements > * Fix SoftReLU fused operator numerical stability > * More Extensions fixes > * Changed intgemm to a submodule instead of fetch > * Updated DISCLAIMER > * Update cuDNN version > > Best regards, > Sam Skalicky > > >
