Hi all,
Regarding the ILayerSupport interface in ILayerSupport.hpp, most of the methods have output TensorInfos. Some of the methods (e.g. IsDetectionPostProcessSupported) don't have output infos. This caused an issue in our custom backend because we were unable to check the output tensor info and reject the layer properly. I think it should be possible to have this information for all layers. What do you think?
Thanks,
Josh
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Hello Derek,
Is this issue still open..?
If open can I work on it?
On Mon, Oct 28, 2019 at 5:30 PM <armnn-dev-request(a)lists.linaro.org> wrote:
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> 1. Re: ArmNN | ONXX model load issue (Derek Lamberti)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 28 Oct 2019 10:31:11 +0000
> From: Derek Lamberti <derek.lamberti(a)linaro.org>
> To: Rahul Chowdhury <rahul.c(a)pathpartnertech.com>
> Cc: Manjunath Kulkarni <manjunath.kulkarni(a)pathpartnertech.com>,
> armnn-dev(a)lists.linaro.org
> Subject: Re: [Armnn-dev] ArmNN | ONXX model load issue
> Message-ID:
> <CAPeFqV89WNV-sw20X0NB=
> tznsiMmNpw0bzj23HcgNSEmoFFmWg(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Hi Rahul,
>
>
> ArmNN doesn't support zero dimension tensors implicitly. Often this
> can be resolved by converting the tensor to a 1D tensor with 1
> element. We have done this conversion automatically within the TfLite
> parser and this has worked for a particular use case we ran into. A
> similar solution might work for your use case too. This could be done
> within the ToTensorInfo() function in OnnxParser.cpp. If this resolves
> the issue for you I'd recommend issuing a pull request so that we can
> integrate it into master.
>
>
> Hope that helps,
> ~Derek
>
> On Thu, 22 Aug 2019 at 15:32, Rahul Chowdhury
> <rahul.c(a)pathpartnertech.com> wrote:
> >
> > Hi,
> >
> > We are using ArmNN to cross-compile a standalone C++ application on Linux
> > that loads a standard onnx model. During the model loading, we see a
> crash
> > with the below error output -
> >
> > terminate called after throwing an instance of
> > 'armnn::InvalidArgumentException'
> > what(): Tensor numDimensions must be greater than 0
> >
> > Initially we were on armnn master, and later we switched to tag v19.05,
> but
> > the error was same for both.
> >
> > Below is the code snippet to load the model -
> > armnnOnnxParser::IOnnxParserPtr parser =
> > armnnOnnxParser::IOnnxParser::Create();
> > std::cout << "\nmodel load start";
> > armnn::INetworkPtr network =
> > parser->CreateNetworkFromBinaryFile("onnx_3DDFA.onnx");
> > std::cout << "\nmodel load end";
> >
> > It crashes after printing "model load start" with the error message
> printed
> > above.
> >
> > A gdb backtrace is also provided below -
> > (gdb) r
> > Starting program:
> > /home/root/Rahul/armnn_onnx/3DDFA_ArmNN_onnx/3ddfa_armnn_onnx
> > [Thread debugging using libthread_db enabled]
> > Using host libthread_db library "/lib/libthread_db.so.1".
> >
> > terminate called after throwing an instance of
> > 'armnn::InvalidArgumentException'
> > what(): Tensor numDimensions must be greater than 0
> > model load start
> > Program received signal SIGABRT, Aborted.
> > __GI_raise (sig=sig@entry=6) at
> > /usr/src/debug/glibc/2.26-r0/git/sysdeps/unix/sysv/linux/raise.c:51
> > 51 }
> > (gdb) bt
> > #0 __GI_raise (sig=sig@entry=6) at
> > /usr/src/debug/glibc/2.26-r0/git/sysdeps/unix/sysv/linux/raise.c:51
> > #1 0x0000ffffbe41df00 in __GI_abort () at
> > /usr/src/debug/glibc/2.26-r0/git/stdlib/abort.c:90
> > #2 0x0000ffffbe6aa0f8 in __gnu_cxx::__verbose_terminate_handler() ()
> from
> > /usr/lib/libstdc++.so.6
> > #3 0x0000ffffbe6a7afc in ?? () from /usr/lib/libstdc++.so.6
> > #4 0x0000ffffbe6a7b50 in std::terminate() () from
> /usr/lib/libstdc++.so.6
> > #5 0x0000ffffbe6a7e20 in __cxa_throw () from /usr/lib/libstdc++.so.6
> > #6 0x0000ffffbefdad84 in armnn::TensorShape::TensorShape(unsigned int,
> > unsigned int const*) () from
> /home/root/Rahul/armnn_onnx/build/libarmnn.so
> > #7 0x0000ffffbe7e34d8 in armnnOnnxParser::(anonymous
> > namespace)::ToTensorInfo(onnx::ValueInfoProto const&) [clone
> > .constprop.493] () from
> > /home/root/Rahul/armnn_onnx/build/libarmnnOnnxParser.so
> > #8 0x0000ffffbe7e4080 in
> >
> armnnOnnxParser::OnnxParser::SetupInfo(google::protobuf::RepeatedPtrField<onnx::ValueInfoProto>
> > const*) () from /home/root/Rahul/armnn_onnx/build/libarmnnOnnxParser.so
> > #9 0x0000ffffbe7e41ac in armnnOnnxParser::OnnxParser::LoadGraph() ()
> from
> > /home/root/Rahul/armnn_onnx/build/libarmnnOnnxParser.so
> > #10 0x0000ffffbe7e4760 in
> > armnnOnnxParser::OnnxParser::CreateNetworkFromModel(onnx::ModelProto&) ()
> > from /home/root/Rahul/armnn_onnx/build/libarmnnOnnxParser.so
> > #11 0x0000ffffbe7e49b0 in
> > armnnOnnxParser::OnnxParser::CreateNetworkFromBinaryFile(char const*) ()
> > from /home/root/Rahul/armnn_onnx/build/libarmnnOnnxParser.so
> > #12 0x0000000000402290 in main ()
> > (gdb)
> >
> >
> > Can someone point out if we are missing something out or doing something
> > wrong? Any help or input is highly appreciated.
> >
> >
> > Regards,
> > Rahul
> >
> > --
> >
> >
> >
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