wmf0929 commented 4 years ago

my testCase code as follows, openvino version is 2019R3

#include <ie_builders.hpp>
#include <inference_engine.hpp>
#include <vector>

namespace Builder = InferenceEngine::Builder;
using Layer = InferenceEngine::Builder::Layer;
using PortInfo = InferenceEngine::PortInfo;
using TensorDesc = InferenceEngine::TensorDesc;
using Precision = InferenceEngine::Precision;
using Layout = InferenceEngine::Layout;
using Blob = InferenceEngine::Blob;
using idx_t = InferenceEngine::idx_t;
using Port = InferenceEngine::Port;

int main() {
  // float inputData[1001 * 1 * 1 * 1] = {1.2};
  // float outputData[1001 * 1 * 1 * 1] = {0};
  float bias[1001 * 1 * 1 * 1] = {2.1};
  Builder::Network *network = new Builder::Network("openvino");

  // InputLayer
  Layer input = Builder::InputLayer("input").setPort(Port({1, 1, 1, 1001}));
  idx_t input_id = network->addLayer(input);

  // ConstLayer
  TensorDesc tDesc(Precision::FP32, {1001}, Layout::ANY);
  Blob::Ptr blob =
      InferenceEngine::make_shared_blob<float>(tDesc, (float *)bias);

  Layer weight =
      Builder::ConstLayer("weight").setPort(Port({1001})).setData(blob);

  auto weight_id = network->addLayer(weight);

  // ReshapeLayer
  Layer reshape = Builder::ReshapeLayer("reshape")
                      .setInputPort(Port({1001}))
                      .setOutputPort(Port({1, 1, 1, 1001}))
                      .setDims({1, 1, 1, 1001});
  idx_t reshape_id = network->addLayer({weight.getId()}, reshape);

  // EltwiseLayer
  Layer add = Builder::EltwiseLayer("add")
                  .setEltwiseType(Builder::EltwiseLayer::SUM)
                  .setInputPorts({Port({1, 1, 1, 1001}), Port({1, 1, 1, 1001})})
                  .setOutputPort(Port({1, 1, 1, 1001}));
  idx_t add_id = network->addLayer({input.getId(), reshape.getId()}, add);

  return 0;
}

build command: c++ openvino.cc -I /opt/intel/openvino/deployment_tools/inference_engine/include -L /opt/intel/openvino/deployment_tools/inference_engine/lib/intel64 -linference_engine -g -O0

the run error information as follows:

gdb a.outGNU gdb (Ubuntu 8.1-0ubuntu3.2) 8.1.0.20180409-git Copyright (C) 2018 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. Type "show copying" and "show warranty" for details. This GDB was configured as "x86_64-linux-gnu". Type "show configuration" for configuration details. For bug reporting instructions, please see: http://www.gnu.org/software/gdb/bugs/. Find the GDB manual and other documentation resources online at: http://www.gnu.org/software/gdb/documentation/. For help, type "help". Type "apropos word" to search for commands related to "word"... Reading symbols from a.out...done. (gdb) b main Breakpoint 1 at 0x166ed: file openvino_3.cc, line 15. (gdb) r Starting program: /host/workspace/halo_tflite/a.out [Thread debugging using libthread_db enabled] Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".

Breakpoint 1, main () at openvino_3.cc:15 15 int main() { (gdb) n 18 float bias[1001 1 1 1] = {2.1}; (gdb) n 19 Builder::Network network = new Builder::Network("openvino"); (gdb) n 22 Layer input = Builder::InputLayer("input").setPort(Port({1, 1, 1, 1001})); (gdb) n 23 idx_t input_id = network->addLayer(input); (gdb) n 26 TensorDesc tDesc(Precision::FP32, {1001}, Layout::ANY); (gdb) n 28 InferenceEngine::make_shared_blob(tDesc, (float *)bias); (gdb) n 31 Builder::ConstLayer("weight").setPort(Port({1001})).setData(blob); (gdb) n 33 auto weight_id = network->addLayer(weight); (gdb) n 36 Layer reshape = Builder::ReshapeLayer("reshape") (gdb) n 37 .setInputPort(Port({1001})) (gdb) 38 .setOutputPort(Port({1, 1, 1, 1001})) (gdb) 39 .setDims({1, 1, 1, 1001}); (gdb) 40 idx_t reshape_id = network->addLayer({weight.getId()}, reshape); (gdb) terminate called after throwing an instance of 'InferenceEngine::details::InferenceEngineException' what(): Cannot find layer with id: 18446744073709551615 /host/code/openvino/inference-engine/src/inference_engine/builders/ie_network_builder.cpp:710

Program received signal SIGABRT, Aborted. __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:51 51 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. (gdb) bt

0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:51

1 0x00007ffff5d9b8b1 in __GI_abort () at abort.c:79

2 0x00007ffff63fe257 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

3 0x00007ffff6409606 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

4 0x00007ffff6409671 in std::terminate() () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

5 0x00007ffff6409905 in __cxa_throw () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

6 0x00007ffff72a3d78 in InferenceEngine::Builder::Network::getLayer (this=0x5555555a3560, layerId=18446744073709551615)

at /host/code/openvino/inference-engine/src/inference_engine/builders/ie_network_builder.cpp:710

7 0x00007ffff729d0c6 in InferenceEngine::Builder::Network::<lambda()>::operator()(void) const (__closure=0x7fffffffc390)

at /host/code/openvino/inference-engine/src/inference_engine/builders/ie_network_builder.cpp:333

8 0x00007ffff729dc05 in InferenceEngine::Builder::Network::connect (this=0x5555555a3560, input=..., output=...)

at /host/code/openvino/inference-engine/src/inference_engine/builders/ie_network_builder.cpp:380

9 0x00007ffff729c127 in InferenceEngine::Builder::Network::addLayer (this=0x5555555a3560,

inputs=std::vector of length 1, capacity 1 = {...}, layer=...)

---Type to continue, or q to quit--- at /host/code/openvino/inference-engine/src/inference_engine/builders/ie_network_builder.cpp:272

10 0x000055555556af34 in main () at openvino_3.cc:40

(gdb)

ilya-lavrenov commented 4 years ago

@wmf0929 this NN builder API is deprecated since 2019 R4 and not supported anymore. It's even removed in 2020.4 release. So the proposal is to use ngraph API to construct networks from code.

wmf0929 commented 4 years ago

Ok, thanks a lot!

发件人: noreply@github.com 代表 Ilya Lavrenov notifications@github.com 答复: openvinotoolkit/openvino reply@reply.github.com 日期: 2020年8月10日星期一下午5:05 收件人: openvinotoolkit/openvino openvino@noreply.github.com 抄送: wmf0929 wmf0929@163.com, Mention mention@noreply.github.com 主题: Re: [openvinotoolkit/openvino] i use openvino 2019R3 version to build a ConstLayer, but it can not connect with ReshapeLayer and EltwiseLayer (#1694)

@wmf0929 this NN builder API is deprecated since 2019 R4 and not supported anymore. It's even removed in 2020.4 release. So the proposal is to use ngraph API to construct networks from code.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.

wmf0929 commented 4 years ago

#include "ie_core.hpp"
#include "ngraph/opsets/opset.hpp"
#include "ngraph/opsets/opset3.hpp"
using namespace std;
using namespace ngraph;

int main() {
  auto arg0 = make_shared<opset3::Parameter>(element::f32, Shape{7});
  auto arg1 = make_shared<opset3::Parameter>(element::f32, Shape{7});

  // Create an 'Add' operation with two inputs 'arg0' and 'arg1'
  auto add0 = make_shared<opset3::Add>(arg0, arg1);
  auto abs0 = make_shared<opset3::Abs>(add0);

  // Create a node whose inputs/attributes will be specified later
  auto acos0 = make_shared<opset3::Acos>();

  // Create a node using opset factories
  auto add1 = shared_ptr<Node>(get_opset3().create("Add"));

  // Set inputs to nodes explicitly
  acos0->set_argument(0, add0);

  add1->set_argument(0, acos0);
  add1->set_argument(1, abs0);

  // Run shape inference on the nodes
  NodeVector ops{arg0, arg1, add0, abs0, acos0, add1};
  validate_nodes_and_infer_types(ops);

  // Create a graph with one output (add1) and four inputs (arg0, arg1)
  auto ng_function =
      make_shared<Function>(OutputVector{add1}, ParameterVector{arg0, arg1});
  // std::shared_ptr<ngraph::Function> (use count 1, weak count 0) = {get() =
  // 0x555555597ff0}
  InferenceEngine::CNNNetwork net(ng_function);
  return 0;
}

c++ ngraph.cc -I /host/docker/opt/intel-2020-4-dev/include -L /host/docker/opt/intel-2020-4-dev/lib -lngraph -I /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include -L /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/lib/intel64 -linference_engine -g -O0 -std=c++11

use the openvino 2020.4 library to build the ngraph demo which you provided (https://docs.openvinotoolkit.org/latest/openvino_docs_IE_DG_nGraphTutorial.html) , will account the follows errors:

/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `main':
/host/workspace/halo_tflite/ngraph.cc:42: undefined reference to `InferenceEngine::CNNNetwork::CNNNetwork(std::shared_ptr<ngraph::Function> const&)'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::details::extract_exception(InferenceEngine::StatusCode, char*)':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/details/ie_exception_conversion.hpp:64: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::getOutputsInfo[abi:cxx11]() const':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:73: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::getInputsInfo[abi:cxx11]() const':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:87: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::setBatchSize(unsigned long)':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:126: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::getBatchSize() const':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:137: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::getInputShapes[abi:cxx11]() const':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:217: undefined reference to `InferenceEngine::Data::getTensorDesc() const'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:217: undefined reference to `InferenceEngine::Data::getName[abi:cxx11]() const'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:208: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /tmp/ccDiHoAS.o: in function `InferenceEngine::CNNNetwork::reshape(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<unsigned long, std::allocator<unsigned long> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<unsigned long, std::allocator<unsigned long> > > > > const&)':
/host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `InferenceEngine::details::InferenceEngineException::InferenceEngineException(InferenceEngine::details::InferenceEngineException const&)'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `typeinfo for InferenceEngine::details::InferenceEngineException'
/usr/local/bin/ld: /host/docker/opt/intel-2020-4-dev/deployment_tools/inference_engine/include/cpp/ie_cnn_network.h:230: undefined reference to `InferenceEngine::details::InferenceEngineException::~InferenceEngineException()'
collect2: error: ld returned 1 exit status

can you help me take a look? thanks

ilya-lavrenov commented 4 years ago

@wmf0929 please, also link inference_engine_legacy, it still contains some symbols of public API

wmf0929 commented 4 years ago

ok, thank you very much

jgespino commented 4 years ago

@wmf0929 I am closing the issue, please feel free to re-open or start a new one if additional assistance is needed.

openvinotoolkit / openvino

i use openvino 2019R3 version to build a ConstLayer, but it can not connect with ReshapeLayer and EltwiseLayer #1694

0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:51

1 0x00007ffff5d9b8b1 in __GI_abort () at abort.c:79

2 0x00007ffff63fe257 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

3 0x00007ffff6409606 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

4 0x00007ffff6409671 in std::terminate() () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

5 0x00007ffff6409905 in __cxa_throw () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6

6 0x00007ffff72a3d78 in InferenceEngine::Builder::Network::getLayer (this=0x5555555a3560, layerId=18446744073709551615)

7 0x00007ffff729d0c6 in InferenceEngine::Builder::Network::<lambda()>::operator()(void) const (__closure=0x7fffffffc390)

8 0x00007ffff729dc05 in InferenceEngine::Builder::Network::connect (this=0x5555555a3560, input=..., output=...)

9 0x00007ffff729c127 in InferenceEngine::Builder::Network::addLayer (this=0x5555555a3560,

10 0x000055555556af34 in main () at openvino_3.cc:40