Another thing to take into consideration:
All python artefacts that are created (PyPi) are built with make and are
not using the bundled OpenMP library.
One step for the switch to CMake to happen is the approval and merging of
the mentioned PR:
> Would it be possible to define cmake itself as a conan dependency for
MXNet?
yes, it is definitely possible
for instance, to declare CMake 3.13.0 as a dependency, the following line
has to be added to the conanfile.py:
build_requires = "cmake_installer/3.13.0@conan/stable"
other build tools
I think I asked this already, but want to confirm in regards to the
following discussion:
MXNet CMake build - raise minimal required version
https://lists.apache.org/thread.html/09772f9447ebff72cdfea5512ae70e295db8a21ba0ddb39359cd0a77@%3Cdev.mxnet.apache.org%3E
Would it be possible to define
both questions are totally valid.
> Is it easy to create a build which will build dependencies from source?
1. yep, it's very easy, just add `--build` argument to the `conan install`
command line
> What guarantees you get with conan with regards to ABI / C++ stdlib
binary compatibility of the
I like the conciseness of the new website. Thanks, Mu and Aron for bringing
this
Tianqi
On Mon, Nov 26, 2018 at 11:56 AM Mu Li wrote:
> Dear Community,
>
> I have been working with several Amazon folks in the past few weeks for a
> major update of the document website. Now we have a minimal
Hi Tao,
I was suggesting we can start using a release tag from mkldnn for major and
minor releases of mxnet starting with 1.4.0. But this would require a
versioning mechanism similar to semver for MKLDNN and MKLDNN to do patch
release to backport the bug fixes/regressions. I dont know if this is
Hi Anirudh, please find the statements from MKL-DNN manager for the versioning
mechanism of MKL-DNN library as below:
"That's valid request and I would expect that as the software matures more and
more applications will rely on stable versions. I would expect that for MXNet
there is a stable
Hello all,
I notice there is a significant performance regression in SpMV after this PR
(https://github.com/apache/incubator-mxnet/pull/12380). It seems the problem
occurs when running on multiple GPUs (e.g., 8 GPUs). When running multiple GPUs
for training, SpMV on CPU only uses two or three
Thank you and welcome!
Am Di., 27. Nov. 2018, 07:42 hat Steffen Rochel
geschrieben:
> Congratulation, Tao! Thank you for contributions and commitment to MXNet
> project.
> On Mon, Nov 26, 2018 at 8:04 PM Zhao, Patric
> wrote:
>
> > Congratulation, Tao.
> >
> > > -Original Message-
> >
Hi Pedro,
yes, you're absolutely right, by default, conan will be pulling prebuilt
binaries for the libraries from the bintray.
however, if prebuilt binaries are not available (e.g. because you use some
different compiler for which we don't have prebuilt binaries),
or if you want to build
Hi Konstantin
Thanks for this contribution. With your proposed changes, when
building MXNet we will be pulling binaries for the libraries managed
by conan?
Pedro.
On Mon, Nov 26, 2018 at 11:43 AM Konstantin Ivlev wrote:
>
> Hello, Ivan,
>
> could you possibly clarify your question (may be
Hello Dev,
This is a friendly reminder that Berlin office hours will be held today at
6pm-7pm (CEST) / 9am-10am (PST). More info here:
https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+%28Incubating%29+User+Groups+recurring+meetings
Thanks!
Chance Bair
Thank you for the warm welcome, Kellen and Marco :)
-Original Message-
From: Marco de Abreu [mailto:marco.g.ab...@googlemail.com.INVALID]
Sent: Tuesday, November 27, 2018 4:26 PM
To: dev@mxnet.incubator.apache.org
Subject: Re: [Anouncement] New Committer: Tao Lv
Thank you and welcome!
And Steffen. :)
-Original Message-
From: Lv, Tao A [mailto:tao.a...@intel.com]
Sent: Tuesday, November 27, 2018 9:05 PM
To: dev@mxnet.incubator.apache.org
Subject: RE: [Anouncement] New Committer: Tao Lv
Thank you for the warm welcome, Kellen and Marco :)
-Original Message-
Hi Pedro,
Conan is distributed. So besides building from sources the dependencies, it
is also possible to create binaries yourself for those dependencies (with
the existing recipes, or your own recipes), and host them in your own repo
(Bintray OSS repo, or Artifactory).
This will provide both
Hi Anirudh,
Just to confirm, you're focusing on the 1.4.0 release of MXNet and want to have
a release version of MKL-DNN there, right? Or do you mean all the development
in the future should base on the release version of MKL-DNN? For the former
one, I think 0.17 release of MKL-DNN is a good
Thanks both for the detailed explanations. Couple of more questions:
Is it easy to create a build which will build dependencies from source?
What guarantees you get with conan with regards to ABI / C++ stdlib
binary compatibility of the pulled dependencies?
Just to clarify: My concerns are in
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