+1
Build from source on CentOS 7.6 with MKL/DNNL on and verified it works with
DNNL backend for fp32/int8 inference.
Both functionality and performance are great 😊
Thanks
Xinyu
On 2020/1/8, 1:55 AM, "Przemysław Trędak" <ptre...@apache.org> wrote:
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
