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From Anirudh Acharya <anirudhk...@gmail.com>
Subject Re: [VOTE] Release Apache MXNet (incubating) version 1.2.0.RC0
Date Sat, 21 Apr 2018 20:12:17 GMT
@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 <thomas.delteil1@gmail.com>
wrote:

> *-0*
>
> compiled from source on GPU CUDA/CUDNN, tutorials run fine.
>
> However:
> Compiled from source and adding USE_MKLDNN=1, the onnx/super_resolution
> tutorial is crashing on this line:
>
> ```
> from collections import namedtuple
> Batch = namedtuple('Batch', ['data'])
>
> # forward on the provided data batch
> mod.forward(Batch([mx.nd.array(test_image)]))
> ```
>
> Stack trace returned 8 entries:
> [bt] (0)
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
> mxnet/../../lib/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x5b)
> [0x7feef615721b]
> [bt] (1)
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
> mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~
> LogMessageFatal()+0x28)
> [0x7feef6158258]
> [bt] (2)
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
> mxnet/../../lib/libmxnet.so(mxnet::engine::ThreadedEngine:
> :ExecuteOprBlock(mxnet::RunContext,
> mxnet::engine::OprBlock*)+0xfa9) [0x7feef8b1ad49]
> [bt] (3)
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
> mxnet/../../lib/libmxnet.so(std::_Function_handler<void
> (std::shared_ptr<dmlc::ManualEvent>),
> mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::
> OprBlock*,
> bool)::{lambda()#1}::operator()()
> const::{lambda(std::shared_ptr<dmlc::ManualEvent>)#1}>::_
> M_invoke(std::_Any_data
> const&, std::shared_ptr<dmlc::ManualEvent>&&)+0xe2) [0x7feef8b30d82]
> [bt] (4)
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
> mxnet/../../lib/libmxnet.so(std::thread::_Impl<std::_Bind_
> simple<std::function<void
> (std::shared_ptr<dmlc::ManualEvent>)> (std::shared_ptr<dmlc::
> ManualEvent>)>
> >::_M_run()+0x4a) [0x7feef8b2af1a]
> [bt] (5) /home/ubuntu/anaconda3/bin/../lib/libstdc++.so.6(+0xafc5c)
> [0x7fef7cc79c5c]
> [bt] (6) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fef7dec36ba]
> [bt] (7) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fef7dbf941d]
>
> Depending on how experimental we consider MKLDNN, that could be a *-1 *for
> me.
>
> 2018-04-21 9:01 GMT-07:00 Jun Wu <wujun.nju@gmail.com>:
>
> > +1
> >
> > Compiled from source. Ran the model quantization example. Both quantized
> > model generation and inference can run successfully.
> >
> > On Fri, Apr 20, 2018 at 5:14 PM, Indhu <indhubharathi@gmail.com> wrote:
> >
> > > +1
> > >
> > > Compiled from source on P3 instance. Tested the SSD example and some
> > Gluon
> > > examples.
> > >
> > > On Wed, Apr 18, 2018, 7:40 PM Anirudh <anirudh2290@gmail.com> wrote:
> > >
> > > > Hi everyone,
> > > >
> > > > This is a vote to release Apache MXNet (incubating) version 1.2.0.
> > Voting
> > > > will start now (Wednesday, April 18th) and end at 7:40 PM PDT,
> > Saturday,
> > > > April 21st.
> > > >
> > > > Link to the release notes:
> > > >
> > > >
> > > > https://cwiki.apache.org/confluence/display/MXNET/
> > > Apache+MXNet+%28incubating%29+1.2.0+Release+Notes
> > > >
> > > > Link to the release candidate 1.2.0.rc0:
> > > > https://github.com/apache/incubator-mxnet/releases/tag/1.2.0.rc0
> > > >
> > > > View this page, click on “Build from Source”, and use the source code
> > > > obtained from the 1.2.0.rc0 tag:
> > > > https://mxnet.incubator.apache.org/install/index.html
> > > >
> > > > (Note: The README.md points to the 1.2.0 tag and does not work at the
> > > > moment.)
> > > >
> > > > Please remember to TEST first before voting accordingly:
> > > > +1 = approve
> > > > +0 = no opinion
> > > > -1 = disapprove (provide reason)
> > > >
> > > > Thanks,
> > > >
> > > > Anirudh
> > > >
> > >
> >
>

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