mxnet-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Zhao, Patric" <patric.z...@intel.com>
Subject RE: call for contributions to next MXNet release
Date Fri, 23 Mar 2018 14:22:47 GMT
Really thank Marco, Da and other reviewers' help :)  

I'd like to update the status of MKL-DNN bugs. 
Feel free to let me know if there're any other issues.

There're 8 opened issues (1 discussion thread is not included).

2 issues are WIP and will be completed in next several days.
#10189, Race condition when MKLDNN is enabled MKL, Zheng Da  
Note: this data race exist in theory but couldn't happen now. Da is working on the enhancement
to make it perfect.
-#8712, test_operator.test_depthwise_convolution fails in [Python2: MKLML-CPU] and [Python3:
MKLML-CPU], Patric Zhao

6 opened issues have been resolved and wait to review/merge/close
#10168 (PR#10218) CPP test case fails to compile using gcc 4.8.5 when MKLDNN enabled Breaking
Build MKL
#10141 (Passed, to be closed)  Flaky test test_operator_gpu.test_convolution_options @ Python2:
MKLDNN-GPU Flaky MKL Test
#10092 (PR#10021) No "full" pooling convention support with MKL-DNN Feature request MKL Operator
#10026 (PR#10069) MXNET_MKLDNN_DEBUG=1 produces errors Bug MKL
#8974 (Question, will update doc) MXNET compatibility with MKL libraries bundled in Microsoft
R Open MKL
#8532 (resolved by workaround) mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy
with MKL Bug MKL
Note: The duplicated libiomp.so library caused the conflict in the conda and it's not introduced
by MKL-DNN. 
            It can be resolved by environment variable. I am looking for C API to set in the
runtime.

> -----Original Message-----
> From: Marco de Abreu [mailto:marco.g.abreu@googlemail.com]
> Sent: Saturday, March 17, 2018 1:37 AM
> To: dev@mxnet.incubator.apache.org
> Subject: Re: call for contributions to next MXNet release
> 
> Hi Patric,
> 
> I have added three more issues:
> https://github.com/apache/incubator-mxnet/issues/10131
> https://github.com/apache/incubator-mxnet/issues/10133
> https://github.com/apache/incubator-mxnet/issues/10134
> 
> Also, you missed https://github.com/apache/incubator-mxnet/issues/8712 -
> sorry, it was not labelled before
> 
> Best regards,
> Marco
> 
> On Fri, Mar 16, 2018 at 7:45 AM, Zhao, Patric <patric.zhao@intel.com>
> wrote:
> 
> > MKL issues summary:
> >
> > Feel free to let me know if anything I missed.
> >
> > Totally, there’re 11 open issues  in the github with the label of MKL
> > as
> > below:
> >      4 Bugs issues: #10092, #10086,  #10026, #8881
> >      4 Building issues: #9993, #9828, #8974, #8532
> >      1 Flaky Tests: #9864
> >      2 wrong label and invalidated:  #9844, #8874
> >
> > Current status.
> >     3 DONE, to be closed.
> >     4 WIP (working in progress)
> >     2 TODO
> >     2 are invalidated now.
> >
> > Details:
> > #10092, WIP, PR#10021
> > #10086, TODO
> > #10026, WIP
> > #9993, DONE (need to be closed), fixed by #10075 #9864, TODO #9844,
> > INVALIDED, not related w/ MKL #9828, DONE (need to be closed), fixed
> > by #9918 & #10115 #8974, WIP #8881, DONE (need to be closed), fixed by
> > #9112 #8874, INVALIDED, “I believe, we are not using MKL”
> > #8532, WIP, library conflict and can be resolved by environment
> > setting
> >
> > Lists:
> > No "full" pooling convention support with MKL-DNN Feature request MKL
> > Operator
> > #10092 opened 2 days ago by marcoabreu
> > https://github.com/apache/incubator-mxnet/issues/10092
> >
> > [MXNET-84] Segfault test_autograd.test_unary_func @ Python3:
> > MKLDNN-CPU Bug MKL Test
> > #10086 opened 3 days ago by marcoabreu
> > https://github.com/apache/incubator-mxnet/issues/10086
> >
> > MXNET_MKLDNN_DEBUG=1 produces errors Bug MKL
> > #10026 opened 8 days ago by marcoabreu
> > https://github.com/apache/incubator-mxnet/issues/10026
> >
> > cmake cannot build mxnet Bug Build MKL
> > #9993 opened 11 days ago by jacky4323
> > https://github.com/apache/incubator-mxnet/issues/9993
> >
> > Flaky hanging test_operator.test_laop_3 @ Python3: MKLDNN-CPU Flaky
> > MKL Test
> > #9864 opened 21 days ago by marcoabreu
> > https://github.com/apache/incubator-mxnet/issues/9864
> >
> > Flaky test_operator_gpu.test_binary_op @ Python3: MKLDNN-GPU Flaky
> MKL
> > Test
> > #9844 opened 23 days ago by marcoabreu
> > https://github.com/apache/incubator-mxnet/issues/9844
> >
> > Building with MKL fails on OSX Build MKL
> > #9828 opened 25 days ago by sbodenstein
> > https://github.com/apache/incubator-mxnet/issues/9828
> >
> > MXNET compatibility with MKL libraries bundled in Microsoft R Open MKL
> > #8974 opened on Dec 7, 2017 by mjmg
> > https://github.com/apache/incubator-mxnet/issues/8974
> >
> > Intel MKL FATAL ERROR: Cannot load libmkl_avx512_mic.so or
> libmkl_def.so.
> > Bug Data-loading MKL
> > #8881 opened on Nov 30, 2017 by wuzhijiexia
> > https://github.com/apache/incubator-mxnet/issues/8881
> >
> > mxnet installation from source: C++ linkage error on HPC C++
> > Installation MKL
> > #8874 opened on Nov 30, 2017 by jerrin92
> > https://github.com/apache/incubator-mxnet/issues/8874
> >
> > mxnet-mkl (v0.12.0) crash when using (conda-installed) numpy with MKL
> > Bug MKL
> > #8532 opened on Nov 3, 2017 by fhieber
> > https://github.com/apache/incubator-mxnet/issues/8532
> >
> >
> > > -----Original Message-----
> > > From: Zheng, Da [mailto:dzzhen@amazon.com]
> > > Sent: Tuesday, March 13, 2018 2:06 AM
> > > To: Zhao, Patric <patric.zhao@intel.com>; steffenrochel@gmail.com;
> > > dev@mxnet.incubator.apache.org
> > > Cc: marco.g.abreu@googlemail.com; Ye, Jason Y <jason.y.ye@intel.com>
> > > Subject: Re: call for contributions to next MXNet release
> > >
> > > Patric, thanks for summarizing open issues.
> > >
> > > Since I'm in the Palo Alto office, maybe we don't need to wait until
> > > Apr
> > 24th?
> > >
> > > Best,
> > > Da
> > >
> > > On 3/11/18, 6:43 AM, "Zhao, Patric" <patric.zhao@intel.com> wrote:
> > >
> > >     >- should we talk about the package at the Apr 24th meetup in
> > Seattle?
> > >     We're based in Shanghai, China; so maybe @Da Zheng?
> >
> >
Mime
View raw message