On 2019/06/11 17:36:09, Pedro Larroy <[email protected]> wrote:
> A bit more background into this:
>
> While tuning a model using LSTM and convolutions we find that using
> hybridize with static_alloc and static_shape is 15% slower in the
> latest revision vs in version 1.4.1 in which using hybridize with
> static_alloc and static_shape is 10% faster than without.
>
> Overwall we are still 33% faster when comparing master to 1.5.
>
> Let me know if you think this is a release blocker or not.
>
> Pedro.
>
> On Mon, Jun 10, 2019 at 4:51 PM Pedro Larroy
> <[email protected]> wrote:
> >
> > -1
> >
> > We found a performance regression vs 1.4 related to CachedOp which
> > affects Hybrid forward, which we are looking into.
> >
> > Pedro.
> >
> > On Mon, Jun 10, 2019 at 4:33 PM Lin Yuan <[email protected]> wrote:
> > >
> > > -1 (Tentatively until resolved)
> > >
> > > I tried to build MXNet 1.5.0 from source and pip install horovod but got
> > > the following error:
> > >
> > > Reproduce:
> > > 1) cp make/config.mk .
> > > 2) turn on USE_CUDA, USE_CUDNN, USE_NCCL
> > > 3) make -j
> > >
> > > MXNet can build successfully.
> > >
> > > 4) pip install horovod
> > >
> > >
> > > /home/ubuntu/src/incubator-mxnet/python/mxnet/../../include/mkldnn/mkldnn.h:55:28:
> > > fatal error: mkldnn_version.h: No such file or directory
> > > compilation terminated.
> > > INFO: Unable to build MXNet plugin, will skip it.
> > >
> > > I did not change any setting of MKLDNN in my config.mk. I am building on
> > > DLAMI base 18.0 which is Ubuntu 16.04 and CUDA 10.0
> > >
> > > Thanks,
> > >
> > > Lin
> > >
> > >
> > > On Sat, Jun 8, 2019 at 5:39 PM shiwen hu <[email protected]> wrote:
> > >
> > > > +1
> > > >
> > > > Lai Wei <[email protected]> 于2019年6月9日周日 上午4:12写道：
> > > >
> > > > > Dear MXNet community,
> > > > >
> > > > > This is the 3-day vote to release Apache MXNet (incubating) version
> > > > 1.5.0.
> > > > > Voting on dev@ will start June 8, 23:59:59(PST) and close on June 11,
> > > > > 23:59:59.
> > > > >
> > > > > 1) Link to release notes:
> > > > > https://cwiki.apache.org/confluence/display/MXNET/1.5.0+Release+Notes
> > > > >
> > > > > 2) Link to release candidate:
> > > > >
> > > > > https://github.com/apache/incubator-mxnet/releases/tag/1.5.0.rc0
> > > > >
> > > > > 3) Link to source and signatures on apache dist server:
> > > > >
> > > > > https://dist.apache.org/repos/dist/dev/incubator/mxnet/1.5.0.rc0/
> > > > >
> > > > >
> > > > > Please remember to TEST first before voting accordingly:
> > > > > +1 = approve
> > > > > +0 = no opinion
> > > > > -1 = disapprove (provide reason)
> > > > >
> > > > >
> > > > > Best Regards
> > > > >
> > > > > Lai
> > > > >
> > > >
>
-1. Built from source, import mxnet in python cause Segfault.
back trace:
Thread 1 "python3" received signal SIGSEGV, Segmentation fault.
0x00007fff3e8a9f20 in ?? ()
(gdb) bt
#0 0x00007fff3e8a9f20 in ?? ()
#1 0x00007fffebbf440c in ReadConfigFile(Configuration&,
std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > const&, bool const&, unsigned int const&) () from
/usr/lib/x86_64-linux-gnu/libapt-pkg.so.5.0
#2 0x00007fffebbf3d97 in ReadConfigDir(Configuration&,
std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > const&, bool const&, unsigned int const&) () from
/usr/lib/x86_64-linux-gnu/libapt-pkg.so.5.0
#3 0x00007fffebc5e9aa in pkgInitConfig(Configuration&) () from
/usr/lib/x86_64-linux-gnu/libapt-pkg.so.5.0
#4 0x00007ffff29d5c48 in ?? () from /usr/lib/python3/dist-packages/
apt_pkg.cpython-35m-x86_64-linux-gnu.so
#5 0x00000000004ea10f in PyCFunction_Call ()
#6 0x0000000000536d94 in PyEval_EvalFrameEx ()
#7 0x000000000053fc97 in ?? ()
#8 0x00000000005409bf in PyEval_EvalCode ()
#9 0x000000000054a328 in ?? ()
#10 0x00000000004ea1c6 in PyCFunction_Call ()
#11 0x000000000053d353 in PyEval_EvalFrameEx ()
#12 0x000000000053fc97 in ?? ()
#13 0x000000000053bc93 in PyEval_EvalFrameEx ()
#14 0x000000000053b294 in PyEval_EvalFrameEx ()
#15 0x000000000053b294 in PyEval_EvalFrameEx ()
#16 0x000000000053b294 in PyEval_EvalFrameEx ()
#17 0x0000000000540b0b in PyEval_EvalCodeEx ()
#18 0x00000000004ec2e3 in ?? ()
#19 0x00000000005c20e7 in PyObject_Call ()
I was using fresh DLAMI ubuntu 18.0 and CUDA 10.0, built with USE_CUDA=1,
USE_CUDNN=1, the rest are default values.
-Zhi
