Rad, thanks for the input everyone!
I'm anticipating some friction with using FFI with the C API since it's
considered unsafe in Rust; difficulty of integrating will depend on the
nuances of the C API as HY mentioned...
Going to go ahead and dive in. Will be back eventually for feedback / input!
Overall release looks good. Probably something I'm doing wrong, but so far
not able to validate the .asc. I'm getting "Can't check signature: No
public key". I've added the keys from GitHub and the release folder, and
also added your public key "40C9346904DFCE37" from the MIT key server
Dear MXNet community -
we currently have three +1 votes, one binding.
As the vote did not reach the necessary number of binding votes I'm
I'm calling on all PMC member, please test and vote.
On Wed, Jan 30, 2019 at 6:43 PM Aston Zhang wrote:
Tested with the Dive into Deep Learning book.
On Wed, Jan 30, 2019 at 1:25 PM Steffen Rochel
> Thanks Carin and Yuxi.
> Committers and PMC members - please test and send your vote to release
> Apache MXNet (incubating) v1.4.0.
> On Wed, Jan 30, 2019 at
Congrats on the Horovod integration everyone. That's really great to hear.
On Wed, Jan 30, 2019 at 10:08 AM Lin Yuan wrote:
> Hi Yuan,
> Thanks for your interest. We have just supported MXNet in Horovod and are
> working on performance tuning and adding more examples. We are definitely
Thanks Carin and Yuxi.
Committers and PMC members - please test and send your vote to release
Apache MXNet (incubating) v1.4.0.
On Wed, Jan 30, 2019 at 10:55 AM Yuxi Hu wrote:
> verified the training throughput for resnet50_v1 looks normal compared to
> 1.3.1 release
verified the training throughput for resnet50_v1 looks normal compared to
On Tue, Jan 29, 2019 at 3:36 PM Carin Meier wrote:
> +1 - checked out from the release tag and built and tested Scala/Clojure
> On Sat, Jan 26, 2019 at 8:53 PM Steffen Rochel
Thanks for your interest. We have just supported MXNet in Horovod and are
working on performance tuning and adding more examples. We are definitely
interested in further extending it's support with Kubeflow.
Let's set up some time to have a more detailed discussion.
It's great to see MXNet-Horovod integration got merged:
Is there any future plan for this? I've been working on Kubeflow's
MPI-Operator (https://github.com/kubeflow/mpi-operator) lately and it would
be interesting to see an example of using Horovod +
Sent the link just now. Welcome!
On Tue, Jan 29, 2019 at 11:44 PM Aston Zhang wrote:
> Could someone add me to MXNet Slack channel?
I have tried to create a a module via existing rust FFI generators but
failed. It seems like you have to think a lot more than just translate the
C api to make it work. It's better understand the C API first and make sure
it won't introduce new problems in rust.
Pedro Larroy 于2019年1月30日周三
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