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
--
This
message contains confidential information and is intended only
for the
individual(s) named. If you are not the intended
recipient, you are
notified that disclosing, copying, distributing or taking any
action in
reliance on the contents of this mail and attached file/s is strictly
prohibited. Please notify the
sender immediately and delete this e-mail
from your system. E-mail transmission
cannot be guaranteed to be secured or
error-free as information could be
intercepted, corrupted, lost, destroyed,
arrive late or incomplete, or contain
viruses. The sender therefore does
not accept liability for any errors or
omissions in the contents of this
message, which arise as a result of e-mail
transmission.
Hi,
I'm trying to send a minor patch in ArmNN for review, but I ran into some
authentication failure below for 'git review' (I added the gerrit server
with ‘git remote add gerrit https://review.mlplatform.org/ml/armnn’).
remote: Unauthorized
fatal: Authentication failed for 'https://review.mlplatform.org/ml/armnn/'
I can login to the gerrit server with the same username/password. Is there
any special permission required? I cannot find related information in
mlplatform.org website.
Please let me know if I missed something.
Thanks,
Jammy
