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Hi! Megat_Intel
Thanks for the reply.
Here's information about the environment in which I ran the code.
- os: k8s pod run on centos7
- useing archive: l_openvino_toolkit_centos7_2023.1.0.12185.47b736f63ed_x86_64.tgz, and using ld_library_path to load openvino_toolkit，tbb, opengl etc.
- code ：
class OpenvinoBackend {
public:
void init () {
try {
std::string model_full_path = "xxx";
ov::Core core;
auto network = core.read_model(model_full_path);
compiled_model_ = make_shared<ov::CompiledModel>(core.compile_model(network, "CPU"));
} catch (const ov::Exception& exception) {
std::cout<<exception.what());
return ;
}
}
void printInfo() {
auto inputs = compiled_model->inputs();
for (const ov::Output<const ov::Node> input : inputs) {
std::cout << " inputs" << std::endl;
const std::string name = input.get_names().empty() ? "NONE" : input.get_any_name();
std::cout << " input name: " << name << std::endl;
const ov::element::Type type = input.get_element_type();
std::cout << " input type: " << type << std::endl;
const ov::Shape shape = input.get_shape();
std::cout << " input shape: " << shape << std::endl;
}
auto outputs = compiled_model->outputs();
for (const ov::Output<const ov::Node> output : outputs) {
std::cout << " outputs" << std::endl;
const std::string name = output.get_names().empty() ? "NONE" : output.get_any_name();
std::cout << " output name: " << name << std::endl;
const ov::element::Type type = output.get_element_type();
std::cout << " output type: " << type << std::endl;
}
}
private:
shared_ptr<ov::CompiledModel> compiled_model_;
};
int main () {
OpenvinoBackend ovBackend;
ovBackend.init(); // coredump here
ovBackend.printInfo();
return 0;
}
Here is a picture of using auto-plugin debug info
before init finished, it coredump at compile_model(), In addition, ov::Exception did not capture painc but triggers coredump
I want to know if this issue is caused by the openvino-kit being incompatible with the CPU, or if the system I am using
Hi Freyr,
Thank you for the information provided.
For your information, I tried running the code you provided and received an error while building the code. I made some minor changes to the code (my edited code is below) and was successful in building the code and running the inference. My results are here:
- CPU: Intel i7-11700K
- OS: CentOS 7
- OpenVINO™ version: 2023.1.0
On another note, I tried running the inference with an incorrect model and received the error Segmentation fault ( core dumped ). To investigate further, can you please provide us with the model you used?
If you are unable to provide us with your model, Could you try to run the code using the face-detection-adas-0001 model to verify if the model issue is the cause?
#include "openvino/openvino.hpp"
using namespace std;
class OpenvinoBackend {
public:
void init() {
try {
std::string model_full_path = "<model_xml_directory>";
ov::Core core;
auto network = core.read_model(model_full_path);
compiled_model = make_shared<ov::CompiledModel>(core.compile_model(network, "CPU"));
}
catch (const ov::Exception& exception) {
std::cout << exception.what();
return;
}
}
void printInfo() {
auto inputs = compiled_model->inputs();
for (const ov::Output<const ov::Node> input : inputs) {
std::cout << " inputs" << std::endl;
const std::string name = input.get_names().empty() ? "NONE" : input.get_any_name();
std::cout << " input name: " << name << std::endl;
const ov::element::Type type = input.get_element_type();
std::cout << " input type: " << type << std::endl;
const ov::Shape shape = input.get_shape();
std::cout << " input shape: " << shape << std::endl;
}
auto outputs = compiled_model->outputs();
for (const ov::Output<const ov::Node> output : outputs) {
std::cout << " outputs" << std::endl;
const std::string name = output.get_names().empty() ? "NONE" : output.get_any_name();
std::cout << " output name: " << name << std::endl;
const ov::element::Type type = output.get_element_type();
std::cout << " output type: " << type << std::endl;
}
}
private:
shared_ptr<ov::CompiledModel> compiled_model ;
};
int main() {
OpenvinoBackend ovBackend;
ovBackend.init(); // coredump here
ovBackend.printInfo();
return 0;
}
Regards,
Megat
