Re: [apache/incubator-mxnet] [RFC] MXNet 2.0 API Deprecation (#17676)

Drop the following loss operators since they are used with Module API: - mx.symbol.LinearRegressionOutput - mx.symbol.MAERegressionOutput - mx.symbol.LogisticRegressionOutput - mx.symbol.SVMOutput - mx.symbol.SoftmaxOutput -- You are receiving this because you authored the thread. Reply to this

Re: [apache/incubator-mxnet] [RFC] Apache MXNet 2.0 Roadmap (#16167)

@lilongyue the integration of bytePS to mxnet is in this PR https://github.com/apache/incubator-mxnet/pull/17555 -- You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-mxnet/issues/16167#issuecomment-605494475

Re: [VOTE] Release Apache MXNet (incubating) version 1.6.0.rc1

:50 PM Haibin Lin wrote: > +1 > > Built from source with USE_CUDA=1 on Ubuntu. Run gluon-nlp unit tests and > they passed. > > On Fri, Jan 10, 2020 at 3:18 PM Karan Jariwala > wrote: > >> +1 >> >> Tested MXNet with and without MKL-DNN on Ubuntu 16.04

Re: [VOTE] Release Apache MXNet (incubating) version 1.6.0.rc1

+1 Built from source with USE_CUDA=1 on Ubuntu. Run gluon-nlp unit tests and they passed. On Fri, Jan 10, 2020 at 3:18 PM Karan Jariwala wrote: > +1 > > Tested MXNet with and without MKL-DNN on Ubuntu 16.04 with Horovod 0.18.2. > No regression seen between 1.5.1 and 1.6.0.rc1 when running

Re: Stopping nightly releases to Pypi

I was trying the nightly builds, but none of them is available: pip3 install https://apache-mxnet.s3-us-west-2.amazonaws.com/dist/2020-01-01/dist/mxnet_cu100-1.6.0b20200101-py2.py3-none-manylinux1_x86_64.whl --user pip3 install

Re: Stopping nightly releases to Pypi

Shall we update the website installation page with nightly build information as well (after we figure out the CD details)? Best, Haibin On Tue, Dec 10, 2019 at 10:15 PM Lausen, Leonard wrote: > Not yet. As a community, we first need to add the nightly build hosting > feature > to the community

Re: [apache/incubator-mxnet] [RFC] Unified API for Distributed Data Parallel Training (#16795)

I do expect the API to change in the future. Currently @szhengac @zhongyuchen and I are exploring APIs for gradient compression with a few algorithms, and we may bring back the best practice back to MXNet. -- You are receiving this because you are subscribed to this thread. Reply to this

Re: [apache/incubator-mxnet] [RFC] Unified API for Distributed Data Parallel Training (#16795)

I did mean use case 2,3,4. Initialization is done in the constructor `kv.__init__()`, and for horovod it could be simply a `hvd.init()` call. I have not discussed problem 1 for too much details. horovod uses mpirun to setup connection and launch processes, while byteps/p3 and native kvstore

[apache/incubator-mxnet] [RFC] Unified API for Distributed Data Parallel Training (#16795)

([example code](https://github.com/eric-haibin-lin/gluon-nlp/blob/benchmark/scripts/bert/run_pretraining.py#L187-L228)) 3. create (Distributed)Trainers ([example code](https://github.com/eric-haibin-lin/gluon-nlp/blob/benchmark/scripts/bert/run_pretraining.py#L297-L303)) 4. send custom tensors

Re: new website, docs code freeze

t; >> > > > > >> > >> Hello, > > >> > >> > > >> > >> I checked the Google Analytics statistics and the launch of the > new > > >> > >> website reduced the traffic by over 80%: > > >> > >

Re: new website, docs code freeze

ndex.html > > Also, on the MXNet 'getting started' page > https://mxnet.incubator.apache.org/get_started , the link "Ubuntu > Installation Guide" at the bottom doesn't work either, it points to: > https://mxnet.incubator.apache.org/ubuntu_setup.html > > > I suggest

Re: new website, docs code freeze

It looks like my previous email did not go through. Re-sending: Hi Aaron, The website looks cool. Thanks for pushing this to production. A few questions: - I was looking for the API doc for mx.sym.dot, but I find that most operators under mx.sym.* are missing. Is this expected? - I was also

Re: [Discuss] MXNet Python < 3.6 Support Deprecation

+1 On Thu, Aug 22, 2019 at 11:22 PM Junru Shao wrote: > +1 for 3.6+ > > On Thu, Aug 22, 2019 at 8:54 AM Marco de Abreu > wrote: > > > +1 for 3.6+ > > > > Yuan Tang schrieb am Do., 22. Aug. 2019, > 08:08: > > > > > +1 to target 3.6+ > > > > > > On Thu, Aug 22, 2019 at 11:01 AM Leonard Lausen

Fwd: ApacheCon Europe 2019: Join our Hackathon!

-- Forwarded message - From: Sally Khudairi Date: Wed, Aug 21, 2019 at 9:23 AM Subject: ApacheCon Europe 2019: Join our Hackathon! To: Dear Apache Committers, There will be a hackathon space at ApacheCon Europe 2019 in Berlin. It will be available on 23rd/24th October from the

Re: [VOTE] Release Apache MXNet (incubating) version 1.5.0.rc1

In GluonNLP we are testing with MXNET nightly build for each PR, and we did find some MXNet related issue caught by the CI. I recommend other toolkits also add integration tests with MXNet nightly. It helps identify issues early. Best, Haibin On Thu, Jun 20, 2019 at 18:52 Zhao, Patric wrote: >

Re: [DISCUSS] 1.5.0 Release Plan

ull/15039 > 3. https://github.com/apache/incubator-mxnet/pull/15097 > > Thanks! > > Best Regards > > Lai > > > On Tue, May 28, 2019 at 9:32 AM Haibin Lin > wrote: > > > Hi dev@, > > > > I was testing GluonNLP with MXNet master, and found that BER

Re: [DISCUSS] 1.5.0 Release Plan

Hi dev@, I was testing GluonNLP with MXNet master, and found that BERT training crashes a few hours after I launch the job. I can confirm that MXNet pip package 20190412 works fine. I am bisecting changes in MXNet/GluonNLP to check what causes the problem. I'll send an update as soon as I find

Re: direction for documentation across various APIs that share common doc source

Hi Aaron, You can see that the examples listed in elemwise_addDoc class in https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/ndarray_doc.py#L57 are appended to the example section of elemwise_add op in

Re: "If" function in MXNET and sharing parameters

Hi Stanislas, Did you consider nd/symbol.contrib.cond for conditional statement? https://mxnet.incubator.apache.org/versions/master/tutorials/control_flow/ControlFlowTutorial.html Best, Haibin On Fri, Mar 8, 2019 at 10:29 Lauly, Stanislas wrote: > Hi, > > About MXNET module, I need to create

Re: [VOTE] Release Apache MXNet (incubating) version 1.4.0.rc3

+1 Built from source on Ubuntu and it passed kvstore unit tests. Best, Haibin On Tue, Feb 19, 2019 at 10:03 AM Piyush Ghai wrote: > Hi all, > > I still need more votes from PMC members in order to conclude this vote. > > PMC members, please TEST and vote accordingly. Your votes will help us >

Re: [VOTE] Release Apache MXNet (incubating) version 1.4.0.rc2

+1 built from source on Linux and passed dist sync kvstore test. On Mon, Feb 4, 2019 at 9:54 AM Lin Yuan wrote: > +1 build from source on MacOS 10.13.6 and tested mxnet-to-coreml converter. > > On Mon, Feb 4, 2019 at 9:03 AM Indhu wrote: > > > +1 > > > > Build from source and tested few

Re: Taxonomy on our cwiki

+1 Will there be broken links? I thought confluence will show "page is now moved to https://xxx.html; to redirect users, when this kind of reorg happens. Best, Haibin On Fri, Jan 18, 2019 at 4:50 PM Aaron Markham wrote: > +1 but note that this is probably going to create a bunch of broken

Re: [ANNOUNCE] MKLDNN becomes the default CPU backend in Apache/MXNet master branch

Awesome work! On Sat, Jan 12, 2019 at 1:25 AM Lv, Tao A wrote: > Thanks for the great collaboration through the community to make things > happen. :) > > > -Original Message- > From: Jun Wu [mailto:wujun@gmail.com] > Sent: Saturday, January 12, 2019 12:54 PM > To:

Re: Incubator Podling Report (Due 2nd January)

at 2:00 PM Haibin Lin wrote: > Dear MXNet community, > > The section for "How has the community developed since the last report?" > has been updated with recent developments in MXNet ecosystem. Please feel > free to provide feedbacks on the draft report. Thanks. > >

Re: Incubator Podling Report (Due 2nd January)

Dear MXNet community, The section for "How has the community developed since the last report?" has been updated with recent developments in MXNet ecosystem. Please feel free to provide feedbacks on the draft report. Thanks. Best, Haibin On Wed, Jan 2, 2019 at 1:23 PM Michael Wall wrote: >

Re: Apache MXNet v1.4.0 release status

Hi Steffen, Aston and I would like to bring this PR to your attention: https://github.com/apache/incubator-mxnet/pull/13686, where Zhi fixed the num_worker argument of DataLoader on windows. Without this fix, using DataLoader with num_worker > 0 would result in crash on Windows. Bringing this PR

Re: trouble with foreach operator in conjunction with multiple GPUs

Hi Tali, Yes I think currently the foreach API is experimental and multi-device support is future work. The existing implementation uses the main thread to wait for execution result and does not handle the case for data parallel training on multi gpus. However, if you use gluon, you can probably

Re: [Announcement] New Committer -- Rahul Huilgol

Congratulations Rahul. Well deserved! On Mon, Dec 3, 2018 at 10:18 PM Steffen Rochel wrote: > Congratulation Rahul! > > On Mon, Dec 3, 2018 at 10:17 PM Hagay Lupesko wrote: > > > +1 - congrats Rahul! > > > > On Mon, Dec 3, 2018 at 8:09 PM kellen sunderland < > > kellen.sunderl...@gmail.com>

Re: v1.4.0 status 11/29

It would also be great to include the PR that reverts a commit causing cpu performance degradation https://github.com/apache/incubator-mxnet/pull/13501, where num_omp_threads decrease to 1 when multiple GPUs are used, as Anirudh reported in

Re: [Announce] Upcoming Apache MXNet (incubating) 1.3.1 patch release

Hi Naveen and Anton, Thanks for pointing that out. You are right that these are not critical fixes. Putting them in 1.4.0 is more appropriate. PRs are closed. Best, Haibin On Tue, Nov 6, 2018 at 7:35 AM Naveen Swamy wrote: > Please note that this is a patch release(1.3.1) to address critical

Re: [Announce] Upcoming Apache MXNet (incubating) 1.3.1 patch release

Hi Anton, Thanks for driving the patch release. Besides the MKL improvements, I suggest we include two changes for *performance improvement* for NLP tasks below: CUDNN support for LSTM with projection & clipping: - https://github.com/apache/incubator-mxnet/pull/13056 - It is used in state of the

Re: [VOTE] Separating PMC and Committership

Hi Carin, Thank you very much for driving this forward! +1 Best, Haibin On Mon, Nov 5, 2018 at 9:54 AM Sebastian wrote: > +1 (binding) > > On 05.11.18 11:29, Carin Meier wrote: > > This is a procedural vote on whether to separate the committer and PPMC > > levels in the project. The current

[Discussion] Separating PMC and Committership

Dear MXNet community, In the past when we invite a person to become a committer, he/she is automatically made a PMC member. However, a lot of communities keep a small PMC, and a bigger and more diverse committers to enrich the community. This has the benefit of having two opportunities to

Re: MXNet Podling Report - October

ng him explicitly here. Thanks Haibin. > > Mike > > On Thu, Oct 4, 2018 at 8:12 PM Haibin Lin > wrote: > > > Hi Justin and Michael, > > > > I updated the report with the links to the tutorial summaries: > > June

Re: MXNet Podling Report - October

/dea9184350f2fe87ce450722ead28072f763196045f39859190f83f8@%3Cuser.mxnet.apache.org%3E August - https://discuss.mxnet.io/t/apache-mxnet-digest-august-2018/1863 Justin, the length of the permanent link is longer than 76 characters. Would this be an issue? Best, Haibin On Thu, Oct 4, 2018 at 1:16 PM Haibin Lin wrote: > Hi Jus

Re: MXNet Podling Report - October

Hi Justin, Thanks for the notice. I've reformatted the MXNet section to have at most 76 characters per line. Sorry about the last minute update. Best, Haibin On Thu, Oct 4, 2018 at 12:59 PM Justin Mclean wrote: > Hi, > > I noticed you have edited the report after the due date and have broken

Re: MXNet Podling Report - October

in the report as well which might help to generate the numbers next time. > 5 - You mention new mentors were added, but not why. If the board asks, it > will be a follow up task. > > Mike > > On Mon, Oct 1, 2018 at 8:33 PM Haibin Lin > wrote: > > > Hi MXNet commun

MXNet Podling Report - October

Hi MXNet community, The podling report for MXNet is due on October 3rd. The report covers MXNet's progress on community development and project development (the previous one can be found here ). You can search "MXNet" at

Re: [Discuss] Next MXNet release

I found 2 bugs related to gluon Trainer with distributed KVStore. Basically if someone uses Gluon for distributed training with a learning rate schedule (e.g. train ResNet50 for image classification), it won't work. https://github.com/apache/incubator-mxnet/issues/12713 I have the fix for the

Re: [VOTE] Release MXNet version 1.3.0.RC0

+1 built from source and passes dist_sync_kvstore test on Ubuntu. Best, Haibin On Thu, Sep 6, 2018 at 1:32 PM Indhu wrote: > +1 > > The release candidate looks good. I'm able to build and run basic models. > > One the FP16 issue: > > Like others have pointed out, releases on expensive in terms

Re: Consolidating developer guide in one place (cwiki preferred)

+1 On Wed, Aug 15, 2018 at 1:10 PM, Aaron Markham wrote: > Hi Lin, I agree with this organization. If you feel like somethings should > be transitioned from the website to the wiki, I can help with that, but for > the moment I've been suggesting that new developer-focused content be > placed on

Re: Duplication of Operators for sampling from random distributions

Hi Anirudh, Thanks for asking this on dev@. I looked at the doc for sample_uniform and random_uniform, and found that the API is different. For sample_uniform, the type of arguments `low` and `high` is NDArray, while that of random_uniform's is float. I don't think they're going to be deprecated.

Re: Should MXNet 1.3 contain a buggy version of nn.Embedding backward by default?

Hi Hao, Did you look at the AddTakeGrad for sparse gradient https://github.com/apache/incubator-mxnet/blob/master/src/operator/tensor/indexing_op.cu#L77 ? If I'm not mistaken, Leonard doesn't see nan values generated by the sparse gradient kernel. The sparse kernel shares similar parallelization

Re: [DISCUSS] Subscribe dev@ to Github Activities?

it was previously but not now > > Yeah, amount of messages would be tripled at least: Jira + Github > issue + PR > > On Thu, Jul 12, 2018 at 11:13 PM, Haibin Lin > > wrote: > > > I'm a bit concerned with the amount of emails flooding in. In the >

Re: [DISCUSS] Subscribe dev@ to Github Activities?

I'm a bit concerned with the amount of emails flooding in. In the past week there're 32 new issues and 35 new pull requests. This means on avg 10 email per day and I doubt I'll read all of them.. Does the Spark community subscribe dev@ to github? Best, Haibin On Thu, Jul 12, 2018 at 3:08 PM,

Re: C++ api issue labeling

+1 merging "feature" with "feature request" On Tue, Jul 10, 2018 at 12:59 PM, Anirudh Acharya wrote: > There is another instance of label duplication - We have labels "Feature" ( > https://github.com/apache/incubator-mxnet/labels/Feature ) and "Feature > Request" ( >

Re: [VOTE] Release MXNet version 1.2.1.RC1

+1 Built from source with cuda and dist kvstore. Ran dist_sync_kvstore.py nightly test and it passed. Best, Haibin On Wed, Jul 11, 2018 at 6:13 PM, Roshani Nagmote wrote: > Hi All, > > Could you please test and vote for this release? Voting will end tomorrow > by 5:50 pm PDT. > > Thanks, >

Re: [VOTE] Release MXNet version 1.2.1.RC0 (Patch Release)

+1 Built from source with CUDA on Ubuntu. Ran example/gluon/word_language_model/train.py Best, Haibin On Thu, Jun 21, 2018 at 11:08 AM, Anirudh wrote: > Hi Pedro, > > I think you raised this issue in 1.2.0 release here: > https://lists.apache.org/thread.html/ddc088a21aac179144350ea97353a7 >

Re: The operator check for Scala Package

f operator in C Yes >- change the documentation such as README.md No >- add/remove/modify operator Yes >- add/remove/modify operator parameter Yes > > Thanks, > Qing > > On

Re: Reverting pull request

Why revert the PR when we know there's a fix? If we keep going backwards like this, no progress can be made. On Fri, Jun 15, 2018 at 2:37 PM, Mu Li wrote: > Agree that major changes need more extensive reviews. But we cannot ignore > that both reviews and CI cannot catch all bugs. Reverting

Re: Make cmake default

+1 Thanks for bringing this up. Maintaining two build systems is a pain. If we decide to make cmake default, please make sure all installation documentations are updated correspondingly. They're currently all using "make" if installed from source. Best, Haibin On Fri, Jun 1, 2018 at 3:06 PM,

Re: [LAZY VOTE][RESULT] Upgrade CI to CUDA 9.1 with CuDNN 7.0

Is there a plan for adding those CUDA 8 tests back to CI? What about CUDA 7? There were a few build problems in the past few weeks due to lack of CI coverage: - https://github.com/apache/incubator-mxnet/pull/10710 were found during 1.2 rc voting -

Re: Problems with test_sparse_operator.test_sparse_mathematical_core

Hi Marco, Is auto scaling already enabled on mxnet apache CI, or this is only happens on your setup? I see the test is using scipy. Do both environments have the same version of scipy installed? I recently see lots of test failures on mxnet master. One thing on my wish list is a database which

Re: [VOTE] Release Apache MXNet(incubating) version 1.2.0.RC2

I agree with Anirudh that the focus of the discussion should be limited to the release branch, not the master branch. Anything that breaks on master but works on release branch should not block the release itself. Best, Haibin On Fri, May 4, 2018 at 10:58 AM, Pedro Larroy

Re: [VOTE] Release Apache MXNet (incubating) version 1.2.0.RC0

Hi Da, After looking at your detailed description in github issue https://github.com/apache/incubator-mxnet/issues/10663, I would argue that the fix should go to mxnet-onnx instead of mxnet-mkldnn. In onnx padding params are in the form of (left, right, top, bottom), which supports asymmetric

Sparse support for Gluon

Hi everyone, I drafted a design proposal for supporting sparse ndarrays in Gluon. Please see https://cwiki.apache.org/confluence/display/MXNET/Gluon+Sparse+Support for details and give suggestions. Thanks! Best, Haibin

Re: PR build failed because of git errors

I've seen this before. Try rebasing and force pushing. On Thu, Mar 29, 2018 at 3:51 PM, Indhu wrote: > Hi, > > Looks like PR #10039 build failed because of git errors. Here is the error > log: > http://jenkins.mxnet-ci.amazon-ml.com/job/incubator- >

Release Status - MXNet 1.1.0.RC0

Hi all, The vote on general@ for 1.1.0.RC0 failed with 2 -1 votes (2 bindings) and no 0 or +1 votes. -1 votes (binding) and reasons: Justin and Henri - LICENSE has issues Vote thread on general@:

Re: JIRA notifications on dev@

+1 to disable automatic notifications to dev@. On Tue, Feb 6, 2018 at 5:05 PM, Marco de Abreu wrote: > Haha, we need to have a discussion here first before we can make the > change. I'd like the opinion of the community on this one. > > -Marco > > On Tue, Feb 6,

[jira] [Created] (MXNET-16) Move submodules to the 3rdparty folder

Haibin Lin created MXNET-16: --- Summary: Move submodules to the 3rdparty folder Key: MXNET-16 URL: https://issues.apache.org/jira/browse/MXNET-16 Project: Apache MXNet Issue Type: Task

Re: [RESULTS] [VOTE] Release MXNet version 1.1.0.RC0

will be required for 1.1.0. Best, Haibin On Tue, Feb 6, 2018 at 1:22 PM, Marco de Abreu <marco.g.ab...@googlemail.com > wrote: > Hello, > > what's the status of this release? > > Best regards, > Marco > > On Wed, Jan 31, 2018 at 1:02 PM, Haibin Lin <haibin.lin@gmail.com

Re: Could anyone help add me into slack group?

Done. On Fri, Feb 2, 2018 at 7:15 PM, Zhao, Patric wrote: > Thanks， > > --Patric > >

Re: Adding to slack

Done. On Mon, Feb 5, 2018 at 5:22 AM, Yogesh Kumar wrote: > > > > > > > Please add me to the Slack channel > > > Get Outlook for iOS > >

Re: [jira] [Commented] (MXNET-2) Please delete old releases from mirroring system

I'm going to work on this issue now. Is anyone aware of any link that might be broken after it is removed? If there're no major concerns I'll go ahead and remove it. Best, Haibin On Sun, Feb 4, 2018 at 12:56 PM, Sebb (JIRA) wrote: > > [

Re: Unit tests removed

Good catch. In general, I agree that tests are not supposed to removed, although CI is not running any of these cpp tests just yet. Usually unit tests in python for individual operators should be sufficient to test the correctness of operators (although I don't know how/if python tests can run on

[RESULTS] [VOTE] Release MXNet version 1.1.0.RC0

This vote passes with 6 +1 votes (5 bindings) and no 0 or -1 votes. Binding +1: Yizhi Sandeep Chris Marco Indhu Non-binding +1: Kellen Vote thread: https://lists.apache.org/thread.html/4b9310aaa1e5c378aa91c274acf412eb5b495a10fe7dad0fab653436@%3Cdev.mxnet.apache.org%3E I'll continue with the

Re: [VOTE] Release Apache MXNet (incubating) version 1.1.0.RC0

; I guess that was an oversight. rc2 has the full source. > I remember it generally has the source because there were complaints that > there were licensing issues with the dmlc files. > > On Tue, Jan 30, 2018 at 8:38 PM, Haibin Lin <haibin.lin@gmail.com> > wrote: > > > @Chris Are pre-

Re: [VOTE] Release Apache MXNet (incubating) version 1.1.0.RC0

; > > > +1 (binding) > > > > > > On Tue, Jan 30, 2018 at 3:20 PM, Indhu <indhubhara...@gmail.com> > wrote: > > > > > > > +1 (binding) > > > > > > > > > > > > On Tue, Jan 30, 2018 at 2:16 PM Chris Ol

Re: [VOTE] Release Apache MXNet (incubating) version 1.1.0.RC0

Update: Link to release candidate 1.1.0.rc0: https://dist.apache.org/repos/dist/dev/incubator/mxnet/1.1.0.rc0/ Link to the release tag: https://github.com/apache/incubator-mxnet/tree/1.1.0.rc0 Best, Haibin On Sun, Jan 28, 2018 at 12:29 AM, Haibin Lin <haibin.lin@gmail.com> wrote:

Re: Release plan - MXNET 1.0.1

s://github.com/apache/incubator-mxnet/commit/ > fdc0766971ed95811d0db15ad0d878998192fce5 > > -Marco > > On Fri, Jan 26, 2018 at 10:28 PM, Haibin Lin <haibin.lin@gmail.com> > wrote: > > > Hi everyone, > > > > Just some status update: > > >

Re: Release plan - MXNET 1.0.1

new functionalities in the contrib namespace. Best, Haibin On Thu, Jan 25, 2018 at 6:26 PM, Haibin Lin <haibin.lin@gmail.com> wrote: > Hi everyone, > > Just some status update regarding the release: > > 1. More license fixes by @mbaijal are merged. > https://github.co

Re: Release plan - MXNET 1.0.1

> Thanks, > > >> > > > Meghna > > >> > > > > > >> > > > On Jan 24, 2018 8:56 PM, "Marco de Abreu" < > > >> > marco.g.ab...@googlemail.com> > > >> > > > w

Re: Release plan - MXNET 1.0.1

On Tue, Jan 23, 2018 at 11:25 AM, Haibin Lin <haibin.lin@gmail.com> wrote: > Hi Sheng, > > 1. I've been following the discussion on the branching & versioning > thread. Features like MKLDNN integration should not go to patch release > 1.0.1, and it's risky to mer

Re: Submitting changes to the MXNet website

Hi Marco, Thanks for the clarification. I was wondering about the website build process, too. I wonder if it will be beneficial to create a page on Apache wiki so that people not on the mailing list will be also aware of this? Best, Haibin On Tue, Jan 23, 2018 at 1:08 PM, Marco de Abreu <

Re: Release plan - MXNET 1.0.1

> > That means we can fix the tests before the release, or remove the > > corresponding feature from release > > (might be hard to do, e.g. for optimizer). Otherwise, we must > collectively > > decide that a feature is > > OK to release without tests. > > The thread on

Please help update/review pending PRs

Laurawly8915 ashokei 8918 eric-haibin-lin 8922 9481 taliesinb 8949 cjolivier01 8972 9498 rahul0039029 9049 9152 mbaijal 9046 9484 9500 9504 9505 anjishnu9111 jegalgo 9142 chaoyuaw9165 zihaolucky

Re: Proposal for treating warnings as errors in Linux & Clang builds (-Werror)

+1 (binding) On Mon, Jan 15, 2018 at 9:43 AM, Marco de Abreu < marco.g.ab...@googlemail.com> wrote: > +1 > > On Mon, Jan 15, 2018 at 6:27 PM, Pedro Larroy < > pedro.larroy.li...@gmail.com> > wrote: > > > Hi > > > > I would like to propose to compile in CI with warnings as errors for > >

Re: Release plan - MXNET 1.0.1

solutely unavoidable.I personally would either remove this from the > release or otherwise move the release date. > Let me know if I misunderstood anything. > Regards > Asmus > > > > > > Am Donnerstag, 11. Januar 2018, 00:34:04 MEZ hat Haibin Lin

Re: R Build failure

+1 for using free datasets or datasets without license issues and host them on s3 buckets to reduce external dependencies. On 2018-01-06 15:26, kellen sunderland wrote: > FYI PRs are currently failing to build. The R "Matrix Factorization" test > is failing to

Re: Test failures due to mxnet.text

I noticed that, too. I pinged the contributor to investigate the cause of the failure. Thanks for reporting this, Marco. Best, Haibin On 2018-01-11 13:45, Marco de Abreu wrote: > Hello, > > apparently, the recently introduced mxnet.text API introduces test

Release plan - MXNET 1.0.1

I am starting the process to prepare for MXNET 1.0.1 release. I have drafted release notes (*https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+%28incubating%29+1.0.1+Release+Notes *)

Re: Status of Sparse Tensor Support in MXNet

want to use it for? Do you want any item in the list of future work to become available sooner? Any feedback is welcome. Thanks a lot. Best, Haibin On Wed, Sep 27, 2017 at 10:12 AM, Haibin Lin <haibin.lin@gmail.com> wrote: > (It looks like the previous email didn’t go through.

Status of Sparse Tensor Support in MXNet

(It looks like the previous email didn’t go through. Resending it) Hi everyone, I’ve been working on sparse tensor support in MXNet. I’d like to share a bit regarding what I worked on and gather some inputs/feature requests from the community. Recently sparse tensor CPU support has been