sponsibility to it to
maintain compatibility rather than the other way around?
On Tue, May 21, 2019 at 3:39 PM Zheng, Da wrote:
> Hello all,
>
> I recently find that DGL don’t run with the recent MXNet. DGL crashes with
> memory errors.
> Yesterd
Hello all,
I recently find that DGL don’t run with the recent MXNet. DGL crashes with
memory errors.
Yesterday we have identified a bug in DLPack and Junru has implemented a fix:
https://github.com/apache/incubator-mxnet/pull/15016
However, there are some other bugs that causes DGL to crash with
Hello Steffen,
Can this bug be fixed in 1.4.0 release? It's a significant performance
regression on sparse matrix multiplication.
https://github.com/apache/incubator-mxnet/issues/13449
Thanks,
Da
On 11/26/18, 6:42 AM, "Steffen Rochel" wrote:
Dear MXNet community,
I will be the r
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 t
> Hi Da,
>
> I am currently running the unit test and will check in the fix once it's
> complete.
>
> Thanks,
>
> Lin
>
> On Thu, Aug 23, 2018 at 3:59 PM Zheng, Da
> wrote:
>
> > Hello all,
> >
Hello all,
There is a little bug in shape inference of the where operator. Currently, the
where operator doesn’t work if the first input is a 1D array. Yuan Lin will
provide a patch to fix this bug.
Best,
Da
Hello all,
As you know, MXNet performs static shape inference to optimize the performance.
However, there are cases that the output arrays of an operator can’t be
statically inferred. In addition, MXNet doesn’t support shape symbol. For
example, the input shape of mx.sym.ones has to be a Python
+1 The PR has been merged a while ago, so it has been tested by many people.
Other people's work now depends on this PR. Reverting it at this point can
cause a lot of problems for many other people.
Best,
Da
On 6/15/18, 2:18 PM, "workc...@gmail.com on behalf of Tianqi Chen"
wrote:
+1 W
o
> have
> > below PRs. But it depends the progress of review and merging.
> > 1. bug fix: https://github.com/apache/incubator-mxnet/pull/11095 (under
> > review)
> > 2. perf improvement: https://github.com/apache/
> incubator-mxnet/pull/1104
the future.
Any comments and suggestions will be highly appreciated. Thanks.
-tao
-Original Message-
From: Zheng, Da [mailto:dzz...@amazon.com]
Sent: Saturday, June 2, 2018 4:38 AM
To: dev@mxnet.incubator.apache.org
Subject: A proposal for unified integ
Hello all,
We would like to propose a new mechanism that unifies the integration with most
of the external acceleration libraries, including TVM, MKLDNN, TensorRT and
more. The main idea is to integrate with the external libraries in the level of
subgraphs instead of operators.
There are a few
https://github.com/apache/incubator-mxnet/issues/10898
On 5/10/18, 10:26 PM, "Zheng, Da" wrote:
I didn't create an issue for this. I think Sheng can provide more details.
Best,
Da
On 5/10/18, 10:10 PM, "Anirudh" wrote:
Hi Da,
hen patch
release needs to be considered.
Anirudh
On Thu, May 10, 2018 at 9:34 PM, Zheng, Da wrote:
> Hello,
>
> It has been reported that MXNet v1.2 has compilation errors in old Mac.
> The fix is on the way.
> We have been dis
Hello,
Scientists like to develop models with Gluon or Pytorch and hand the models
over to engineer for deployment. It takes a lot of effort to deploy these
models because engineers usually need to reimplement the models (this is
especially for NLP and speech models). Recently, Pytorch announce
Hello,
It has been reported that MXNet v1.2 has compilation errors in old Mac. The fix
is on the way.
We have been discussing that since the problem only exists on an uncommon
hardware, maybe we don’t block the release of v1.2. Instead, we can have a
patch release in a near future.
Best,
Da
er build.
ci/docker/runtime_functions.sh clean_repo
Pedro.
On Thu, May 3, 2018 at 7:17 PM, Zheng, Da wrote:
> Hello Pedro,
>
> I tried your instructions. It seems I can't run the docker in EC2
> instances.
> Where did you r
pu --into-container --print-docker-run
A core should be there.
you might need to install gdb as root by executing the previous command
without uid so you can use apt-get.
Good luck.
On Thu, May 3, 2018 at 4:51 PM
data_heap_ = 0x0}, }
(gdb)
On Thu, May 3, 2018 at 4:36 PM, Zheng, Da wrote:
> There are a few problems with valgrind, which makes it not an ideal tool
> for mxnet with python interface.
>
> First, valgrind generates a huge number of irrelevant m
> > > >> It might also be possible that this isn't an MKLDNN bug.
> > > >> I just saw a similar memory error without MKLDNN build.
> > > >>
> > > >>
> > > http://jenkins.mxnet-ci.amazon-ml.c
There might be a race condition that causes the memory error.
It might be caused by this PR:
https://github.com/apache/incubator-mxnet/pull/10706/files
This PR removes MKLDNN memory from NDArray.
However, I don't know why this causes memory error. If someone is using the
memory, it should still ho
I have to agree that the DMLC subrepos do make the development much more
difficult sometimes.
On 5/2/18, 3:57 AM, "Pedro Larroy" wrote:
For me the situation with DMLC is problematic.
I often find myself having to fix things in the DMLC subrepos.
* These changes are imposs
, the padding should be converted correctly.
For the time being, I'll just fix MKLDNN so it doesn't check the tuple length
of padding.
Best,
Da
On 4/23/18, 2:58 PM, "Zheng, Da" wrote:
I can reproduce the bug now. I'm working on a fix for the bug.
Currently,
59 PM, "Zheng, Da" wrote:
It seems I have problems of compiling scala when running "make docs".
Please see the error below.
Are there any instructions of compiling these scala code? I guess I might
miss some packages.
I tried installing libslf4j-java and didn'
@ThomasDelteil could you show me how to reproduce the problem? I'll take it a
look as well.
Best,
Da
Sent from my iPhone
On Apr 21, 2018, at 1:12 PM, Anirudh Acharya
mailto:anirudhk...@gmail.com>> wrote:
@ThomasDelteil that might be due to the fact that in the example, the
context is being se
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