Chai continue the great work he’s doing by
> disabling the failing tests (like we normally do for any failing/flaky
> tests already)
>
> Sam
>
> > On Oct 7, 2019, at 12:45 PM, Anirudh Acharya
> wrote:
> >
> > Hi Chaitanya,
> >
> > The last I checked(
Hi Chaitanya,
The last I checked( a couple of months back) there are a few
customers/users of MXNet in Amazon who use ONNX in production.
The last commit for ONNX module was on Aug 29th
- b7cca015553d707cd1c4ce292826d7311309419c
So IMO disabling any of the tests is not a good idea.
Thanks
t;
> > > > wrote:
> > > >
> > > > > Congratulations Anirudh! Well deserved!
> > > > >
> > > > > On Thu, 26 Sep 2019 at 10:10, Chris Olivier <
> cjolivie...@apache.org>
> > > > > wrote:
> > > > >
Hi,
In the operator tutorial(
http://mxnet.incubator.apache.org/api/faq/add_op_in_backend), there are
sections which do not render properly, for example - forward function,
backward function and shape inference.
Thanks
Anirudh
On Wed, Sep 25, 2019 at 7:53 AM Aaron Markham
wrote:
> I'm
+1
On Thu, Jul 18, 2019 at 11:03 AM Marco de Abreu
wrote:
> +1
>
> -Marco
>
> Sheng Zha schrieb am Do., 18. Juli 2019, 19:59:
>
> > Dear MXNet community,
> >
> > I'd like to reopen the discussion on deprecating python2 support. This
> > would help modernize the design and engineering practice
Hi Pedro,
mshadow is mostly used for tensor arithmetic. There have been discussions
about including it within mxnet. I think it is a good idea.
As a more long term solution using libraries like eigen to perform linear
algebra operations was also suggested by anirudh2290@. I think xtensor(
There was a conversation on this some time back here -
https://lists.apache.org/list.html?d...@mxnet.apache.org:2018-12:Rcpp%20licensing%20in%20Apache%20MXNet
-
Anirudh
On Mon, Apr 1, 2019 at 12:19 PM Zach Kimberg
wrote:
> As part of the current MXNet release process, the R-package is
model/Inception-BN-0126.params")"
>
> Looks like the
> http://data.dmlc.ml/models/imagenet/inception-bn/Inception-BN-0126.params
> is failing for me as well.
>
>
> On Mon, Mar 25, 2019 at 10:37 AM Anirudh Acharya
> wrote:
>
> > Hi Per da Silva,
> >
> >
Hi Per da Silva,
Let me know if I can help, we can chat offline.
>From first glance it would seem
- R:MKLDNN CPU is passing whereas R:CPU is failing
- R:GPU might have failed due to this "cannot open URL '
http://data.dmlc.ml/models/imagenet/inception-bn/Inception-BN-0126.params
'"
I have also faced this problem, when talking to someone external( at
meetups etc.. ) using two names like gluon and mxnet gets confusing and
people usually have not heard of gluon.
I get around it by referring to gluon as "gluon-mxnet" while talking to
anyone outside the community.
-
Anirudh
some
wiggle room there.
MXNet needs HPO functionality and instead of building something from
scratch we could just use existing open source projects. Would like to hear
more from the community.
Thanks
Anirudh Acharya
Having only non-organization PMC members nominate new committers could
un-level the playing field.
1. Many times contributions might not require a contributor to have direct
1:1 discussion with PMC members outside his org.
2. It would give inordinate power/responsibility to the few non-Amazon
Hi Lin,
This is a good idea. Here is an issue -
https://github.com/apache/incubator-mxnet/issues/9686 that is already
attempting to collate all the breaking changes that might be necessary for
v2.0. We could start by adding things to that issue.
I think eventually we will need a separate branch
Congratulations Lin
On Sat, Feb 2, 2019, 3:27 PM Tianqi Chen Dear Community:
>
> Please join me to welcome Lin Yuan(@apeforest) as a new committer of
> Apache(incubating) MXNet!
>
> He has contributed to various improvements, including better compatibility
> of larger arrays across the codebase.
Thanks Qing for bringing this up. I think the cwiki can contain pointers to
apache guidelines -
- https://www.apache.org/dev/committers.html
- https://www.apache.org/dev/new-committers-guide.html
- And a few thumb rules( not hard and fast rules, we should trust the
committers to act
Hi Steffen,
We had a similar discussion with a legal team in Amazon, and we made this
PR - https://github.com/apache/incubator-mxnet/pull/12559 to fix the
licensing issues in the R-package.
I think the R-package should be good to include in the release, but we
should try to get a confirmation
erl...@gmail.com> wrote:
> This makes a lot of sense to me Anirudh.
>
> On Tue, Sep 25, 2018 at 11:38 AM Anirudh Acharya
> wrote:
>
> > Hi,
> >
> > During some recent MXNet user surveys, one of the user requests was to
> have
> > a im2rec API that wi
This issue was raised before here -
https://lists.apache.org/thread.html/3e988e6bd82cb2d69ba20c21bf763952ed22a5732e61f6fba1f89ac8@%3Cdev.mxnet.apache.org%3E
We need someone with committer privileges to fix it.
Thanks
Anirudh
On Tue, Nov 13, 2018 at 4:36 PM Lin Yuan wrote:
> Dear Community,
features.
I am curious to know how you will write tests for these things.
Looking forward to seeing the design of this test bed/framework.
Thanks
Anirudh Acharya
On Fri, Nov 9, 2018 at 2:39 PM Marco de Abreu
wrote:
> Hello Ankit,
>
> that's a great idea! Using the tutorial tests as
this guide as more PRs come in that
> exhibit new ways of handling errors or warnings. That way, creating
> docs and troubleshooting any build issues will be much easier.
>
> Please let me know if you have any questions or feedback. You can
> always add that directly to the wiki too.
>
to the CI?
Regards
Anirudh Acharya
Hi Harsh,
Thanks for working on this. This will be very helpful for people who triage
issues and reviews PRs regularly.
Few concerns from this design document -
https://cwiki.apache.org/confluence/display/MXNET/Machine+Learning+Based+GitHub+Bot
and
the conversation in the comment section
1.
this functionality
from the PyPi package itself, instead of cloning the repo.
I was thinking of converting the tool into an API call under the mx.io
package. I will send the API design shortly. I wanted to know what the
community thinks of this change.
Thanks
Anirudh Acharya
+1 for discontinuing.
On Tue, Aug 28, 2018 at 4:11 PM Naveen Swamy wrote:
> +1 to stop supporting Win7
>
> On Tue, Aug 28, 2018 at 3:54 PM Lin Yuan wrote:
>
> > Dear Community,
> >
> >
> >
> > Currently, our MXNet installation guide for Windows does not work for
> > Windows 7. e.g. Microsoft
> invoke either sample_xxx or random_xxx correspondingly.
>
> Best,
> Haibin
>
> On Mon, Jul 23, 2018 at 1:42 PM, Anirudh Acharya
> wrote:
>
> > Hi All,
> >
> > I had earlier filed an issue with functionality-duplication/code-refactor
> > h
ith TensorRT enabled, would it
> be possible to get that image pushed to the MXNet Dockerhub repo by a
> committer?
>
> On Sun, Jul 22, 2018 at 3:57 PM Anirudh Acharya
> wrote:
>
> > @Naveen No, I meant in general, for all bindings. Irrespective of whether
> > we use a p
Hi All,
I had earlier filed an issue with functionality-duplication/code-refactor
here - https://github.com/apache/incubator-mxnet/issues/11811
As per the suggestion in the github issue I would like to bring it to the
attention of the wider community -
The operators defined in sample_op.cc and
to CRAN do you still see a need for docker ?
> Could
> > you elaborate how this would be helpful and easy if they were to use
> other
> > packages in CRAN?
> >
> > On Sat, Jul 21, 2018 at 10:51 PM, Anirudh Acharya >
> > wrote:
> >
> > > Yes, co
at 9:56 PM Mu Li wrote:
> cu90 and cu90mkl are also available, see
> https://hub.docker.com/r/mxnet/python/tags/
>
> On Sat, Jul 21, 2018 at 9:51 PM, Anirudh Acharya
> wrote:
>
> > The python binding that is actively maintained is
> >
> > mxnet-mkl 1.2.1
>
ber we
> can easily push all bindings into docker hub through the script in
> https://github.com/apache/incubator-mxnet/tree/master/docker.
>
> On Sat, Jul 21, 2018 at 5:03 PM, Anirudh Acharya
> wrote:
>
> > Hi,
> >
> > Docker Hub( https://hub.docker.com/u/mxnet
of use and access to our
users. Is this something that should be included as part of the release
process? What does the community think?
Thanks
Anirudh Acharya
@sandeep krishnamurthy the bug fixes in the
R-package is something we have just begun, there will not be anything
significant to announce before the v1.3 code freeze.
On Wed, Jul 18, 2018 at 10:08 PM Steffen Rochel
wrote:
> To make it easier to find the discussions related to project proposals
+1
On Tue, Jul 17, 2018 at 9:58 AM Anirudh wrote:
> Its not foregoing transparency since people can easily subscribe to the
> github activities individually. dev@ has been used till now for design
> discussions, other project discussions,
> votes etc. After we subscribe dev@ to all activities,
@gmail.com>
> > > wrote:
> > >
> > > > -1 It's a lot of traffic, whomever wants to subscribe can do it
> > in
> > > > github. I'm afraid it will decrease signal to noise ratio in the
> > list.
> > > >
> >
+1
On Thu, Jul 12, 2018 at 11:51 AM Piyush Ghai wrote:
> +1
> > On Jul 12, 2018, at 11:50 AM, Tianqi Chen
> wrote:
> >
> > +1
> >
> > On Thu, Jul 12, 2018 at 11:10 AM, Sheng Zha wrote:
> >
> >> Hi all,
> >>
> >> Should we subscribe dev list to github updates on mxnet repo? Both
> github
> >>
There is another instance of label duplication - We have labels "Feature" (
https://github.com/apache/incubator-mxnet/labels/Feature ) and "Feature
Request" (
https://github.com/apache/incubator-mxnet/labels/Feature%20request ). I
don't think there is much difference between these two labels.
It
Hi Marco,
A release process for the R-package would probably involve publishing the
package to CRAN. Currently it is not done and the r-package would need
considerable changes/improvements before it can get published to CRAN.
So at present accessing the package from the S3 bucket is the surest
the shape of second input( as it is done now)
or take the second input as the shape array itself.
Please let me know your comments and feedback.
Regards
Anirudh Acharya
slf4j.LoggerFactory
> >> >^
> >> > warning: there was one deprecation warning; re-run with
> >> > -deprecation for details
> >> > warning: there were 11 feature warnings; re-run with -feature
> for
> >> > details
ok as well.
> >
> > Best,
> > Da
> >
> > Sent from my iPhone
> >
> > On Apr 21, 2018, at 1:12 PM, Anirudh Acharya <anirudhk...@gmail.com
> > <mailto:anirudhk...@gmail.com>> wrote:
> >
> > @ThomasDelteil that might be due
@ThomasDelteil that might be due to the fact that in the example, the
context is being set as CPU and not GPU.
But I will still take a look as soon as possible.
Regards
Anirudh
On Sat, Apr 21, 2018 at 11:10 AM, Thomas DELTEIL
wrote:
> *-0*
>
> compiled from source
+1
Checked the following -
- source compiles
- the tests for the onnx import API passes.
Regards
Anirudh
On Thu, Apr 19, 2018 at 1:11 PM, Meghna Baijal
wrote:
> +1 (non-binding)
>
>
> I Checked the following:
>
> 1. Signatures are ok
>
> 2. Source compiles
There is already an AWS Evangelist, Julien Simon, who has quite a few posts
about mxnet/gluon on medium - https://medium.com/@julsimon
Regards
Anirudh
On Wed, Apr 11, 2018 at 3:27 PM, Sebastian Gutierrez <
sebast...@aiworkbox.com> wrote:
> Aaron and Thomas
>
> Great ideas!
>
> One thing worth
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