On 2018/03/23 05:49:07, sandeep krishnamurthy
wrote:
> Hello MXNet Community,
>
> Along with Lai, Karan and other MXNet contributors, I am working on adding
> MXNet backend for Keras. Currently supporting around ~70% of Keras APIs
> across CNNs and RNNs.
> https://github.com/deep-learning-too
On 2018/07/12 17:26:33, Jun Wu wrote:
> +1 Built from source and ran the gpu unit tests.
>
> On Thu, Jul 12, 2018 at 8:01 AM sandeep krishnamurthy <
> sandeep.krishn...@gmail.com> wrote:
>
> > +1
> >
> > Built from source. Tested on CPU and GPU with Keras-MXNet (ResNet and LSTM
> > examples)
On 2019/06/11 17:36:09, Pedro Larroy wrote:
> A bit more background into this:
>
> While tuning a model using LSTM and convolutions we find that using
> hybridize with static_alloc and static_shape is 15% slower in the
> latest revision vs in version 1.4.1 in which using hybridize with
> stat
On 2019/06/11 18:53:56, Pedro Larroy wrote:
> The stack trace doesn't seem to come from MXNet, do you have more info?
>
> On Tue, Jun 11, 2019 at 11:46 AM Zhi Zhang wrote:
> >
> >
> >
> > On 2019/06/11 17:36:09, Pedro Larroy wrote:
> > > A b
+1 built from source and passed gluoncv unittests
Thanks,
Zhi
On 2020/01/07 17:55:15, Przemys��aw Tr��dak 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 re
