ee31b648d1
* save work * Add common snipp * update ie pipeline with python snippets * ov_common_snippet * Python snippets for graph construction * Fix docs * Add missed old api snippets * Fix names * Fix markers * Fix methods call
96 lines
2.8 KiB
C++
96 lines
2.8 KiB
C++
#include <openvino/runtime/core.hpp>
|
|
#include <inference_engine.hpp>
|
|
|
|
int main_new() {
|
|
ov::Core core;
|
|
|
|
//! [core_get_ro_property]
|
|
// 'auto' is automatically deduced as std::string
|
|
// since the type is stored in the property
|
|
auto full_device_name = core.get_property("CPU", ov::device::full_name);
|
|
//! [core_get_ro_property]
|
|
|
|
//! [core_get_rw_property]
|
|
// 'auto' is automatically deduced as ov::streams::Num
|
|
// since the type is stored in the property
|
|
auto num_streams = core.get_property("CPU", ov::streams::num);
|
|
//! [core_get_rw_property]
|
|
|
|
//! [core_set_property]
|
|
core.set_property("CPU", ov::enable_profiling(true));
|
|
//! [core_set_property]
|
|
|
|
auto model = core.read_model("sample.xml");
|
|
//! [core_compile_model]
|
|
auto compiled_model = core.compile_model(model, "MULTI",
|
|
ov::device::priorities("GPU", "CPU"),
|
|
ov::hint::performance_mode(ov::hint::PerformanceMode::THROUGHPUT),
|
|
ov::hint::inference_precision(ov::element::f32));
|
|
//! [core_compile_model]
|
|
|
|
//! [compiled_model_set_property]
|
|
// turn CPU off for multi-device execution
|
|
compiled_model.set_property(ov::device::priorities("GPU"));
|
|
//! [compiled_model_set_property]
|
|
|
|
{
|
|
//! [compiled_model_get_ro_property]
|
|
// 'auto' is deduced to 'uint32_t'
|
|
auto nireq = compiled_model.get_property(ov::optimal_number_of_infer_requests);
|
|
//! [compiled_model_get_ro_property]
|
|
}
|
|
|
|
{
|
|
//! [compiled_model_get_rw_property]
|
|
ov::hint::PerformanceMode perf_mode = compiled_model.get_property(ov::hint::performance_mode);
|
|
//! [compiled_model_get_rw_property]
|
|
}
|
|
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
int main_old() {
|
|
InferenceEngine::Core core;
|
|
//! [core_get_metric]
|
|
auto full_device_name = core.GetMetric("CPU", METRIC_KEY(FULL_DEVICE_NAME)).as<std::string>();
|
|
//! [core_get_metric]
|
|
|
|
//! [core_get_config]
|
|
// a user has to parse std::string after
|
|
auto num_streams = core.GetConfig("CPU", CONFIG_KEY(CPU_THROUGHPUT_STREAMS)).as<std::string>();
|
|
//! [core_get_config]
|
|
|
|
//! [core_set_config]
|
|
core.SetConfig({ { CONFIG_KEY(PERF_COUNT), CONFIG_VALUE(YES) } }, "CPU");
|
|
//! [core_set_config]
|
|
|
|
auto model = core.ReadNetwork("sample.xml");
|
|
//! [core_load_network]
|
|
auto exec_network = core.LoadNetwork(model, "MULTI", {
|
|
{ MULTI_CONFIG_KEY(DEVICE_PRIORITIES), "CPU, GPU" },
|
|
{ CONFIG_KEY(PERFORMANCE_HINT), CONFIG_VALUE(THROUGHPUT) },
|
|
{ CONFIG_KEY(ENFORCE_BF16), CONFIG_VALUE(NO) } });
|
|
//! [core_load_network]
|
|
|
|
//! [executable_network_set_config]
|
|
// turn CPU off for multi-device execution
|
|
exec_network.SetConfig({ { MULTI_CONFIG_KEY(DEVICE_PRIORITIES), "GPU" } });
|
|
//! [executable_network_set_config]
|
|
|
|
{
|
|
//! [executable_network_get_metric]
|
|
auto nireq = exec_network.GetMetric(EXEC_NETWORK_METRIC_KEY(OPTIMAL_NUMBER_OF_INFER_REQUESTS)).as<uint32_t>();
|
|
//! [executable_network_get_metric]
|
|
}
|
|
|
|
{
|
|
//! [executable_network_get_config]
|
|
std::string perf_model = exec_network.GetConfig(CONFIG_KEY(PERFORMANCE_HINT)).as<std::string>();
|
|
//! [executable_network_get_config]
|
|
}
|
|
|
|
return 0;
|
|
}
|