Hi MXNet Community, The vote on Apache general has identified more issues [1] that need to be resolved before we can release 1.8.0. I have created a github issue with a summary and list of tasks [2]. Please help review/comment on the github issue and open PRs with necessary changes to help push this through. Once these issues are resolved we will need to have another release candidate and vote.
While these delays to the 1.8.0 release are painful we are improving the quality of the licensing/code/repo organization for MXNet and improving the project as a whole which is both beneficial to the community and another step in the right direction towards graduation. Thanks for your patience and assistance along the way. Thanks! Sam [1] https://lists.apache.org/thread.html/r47d1223cd30a04bbbbee83b642b800d9865620abe87607951f6a1124%40%3Cgeneral.incubator.apache.org%3E [2] https://github.com/apache/incubator-mxnet/issues/19660 On 11/5/20, 10:46 AM, "sandeep krishnamurthy" <sandeep.krishn...@gmail.com> wrote: CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you can confirm the sender and know the content is safe. Hello Carter, Thanks for testing and voting, you can carry over this vote on general@ list :) https://lists.apache.org/thread.html/r47d1223cd30a04bbbbee83b642b800d9865620abe87607951f6a1124%40%3Cgeneral.incubator.apache.org%3E On Mon, Nov 2, 2020 at 5:31 PM Dick Carter <dickjc...@apache.org> wrote: > Although the voting has concluded, I was able to repeat my testing on > NVIDIA's internal CI, so my late vote for the record is '+1 (binding)': > > My testing involved taking the 1.8.0.rc2 codebase and adding the files > needed to build and run against my internal CI system. The value here is > not in the number of build configurations per se, but in the number of > different GPU architectures tested. All the gpu unittests under > ./tests/python/{gpu,train,tensort} passed on machines with: A100, V100, > TU102, TU104, P100 and P40 GPUs. Also, all the cpu unittests under > ./tests/python/unittest passed (on a machine with a V100). > > The build was for ubuntu 18.04 with cuda 11.1 and cuDNN 8.0.4 using the > cmake command: > > cmake -GNinja -S. -DCMAKE_BUILD_TYPE=Release -Bbuild \ > -DUSE_MKLDNN=OFF -DMXNET_CUDA_ARCH="6.0 6.1 7.0 7.5 8.0" \ > -DUSE_CUDA=ON -DUSE_CUDNN=1 \ > -DUSE_NCCL=ON \ > -DUSE_DIST_KVSTORE=ON \ > -DONNX_NAMESPACE=onnx \ > -DUSE_NVTX=1 \ > -DUSE_INTGEMM=OFF \ > -DUSE_TENSORRT=1 > > > On 2020/10/30 03:08:36, "Skalicky, Sam" <sska...@amazon.com.INVALID> > 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 > > > > > > > -- Sandeep Krishnamurthy
