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rt_info_deserialization.cpp
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// Copyright (C) 2018-2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <memory>
#include <sstream>
#include <string>
#include "common_test_utils/graph_comparator.hpp"
#include "openvino/core/preprocess/input_tensor_info.hpp"
#include "openvino/frontend/manager.hpp"
#include "openvino/op/add.hpp"
#include "openvino/op/convert.hpp"
#include "openvino/op/parameter.hpp"
#include "openvino/op/result.hpp"
#include "openvino/op/round.hpp"
#include "openvino/op/transpose.hpp"
#include "openvino/runtime/core.hpp"
#include "transformations/rt_info/fused_names_attribute.hpp"
#include "transformations/rt_info/old_api_map_element_type_attribute.hpp"
#include "transformations/rt_info/old_api_map_order_attribute.hpp"
class RTInfoDeserialization : public testing::Test {
protected:
std::shared_ptr<ov::Model> getWithIRFrontend(const std::string& model) {
std::istringstream modelStringStream(model);
std::istream& modelStream = modelStringStream;
ov::frontend::FrontEnd::Ptr FE;
ov::frontend::InputModel::Ptr inputModel;
ov::AnyVector params{&modelStream};
FE = manager.load_by_model(params);
if (FE)
inputModel = FE->load(params);
if (inputModel)
return FE->convert(inputModel);
return nullptr;
}
private:
ov::frontend::FrontEndManager manager;
};
TEST_F(RTInfoDeserialization, node_v10) {
std::string model = R"V0G0N(
<net name="Network" version="10">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f16" shape="1,3,22,22"/>
<rt_info>
<attribute name="fused_names" version="0" value="in1"/>
<attribute name="old_api_map_order" version="0" value="0,2,3,1" />
<attribute name="old_api_map_element_type" version="0" value="f16"/>
</rt_info>
<output>
<port id="0" precision="FP16" names="input_tensor">
<rt_info>
<attribute name="layout" version="0" layout="[N,C,H,W]"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="Round" id="1" type="Round" version="opset8">
<data mode="half_to_even"/>
<rt_info>
<attribute name="fused_names" version="0" value="Round1,Round2"/>
</rt_info>
<input>
<port id="1" precision="FP16">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP16" names="output_tensor">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_rt_info = [](const ov::RTMap& info) {
EXPECT_FALSE(info.count(ov::FusedNames::get_type_info_static()));
const std::string& key_old_api_order = ov::OldApiMapOrder::get_type_info_static();
EXPECT_FALSE(info.count(key_old_api_order));
const std::string& key_old_api_element_type = ov::OldApiMapElementType::get_type_info_static();
EXPECT_FALSE(info.count(key_old_api_element_type));
};
auto check_version = [](const std::shared_ptr<ov::Model>& f, int version_ref) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), version_ref);
};
check_version(f, 10);
auto param = f->get_parameters()[0];
check_rt_info(param->get_rt_info());
auto result = f->get_results()[0];
auto round = result->get_input_node_ptr(0);
check_rt_info(round->get_rt_info());
// read IR v10 with new API and check that CNNNetwork precision conversions are applied
{
ov::Shape shape{1, 3, 22, 22};
auto type = ov::element::f32;
auto param = std::make_shared<ov::op::v0::Parameter>(type, shape);
param->set_friendly_name("in1");
param->get_output_tensor(0).set_names({"input_tensor", param->get_friendly_name()});
// TODO: No guarantee that exactly 'Convert' will be added
auto convert_param = std::make_shared<ov::op::v0::Convert>(param, ov::element::f16);
auto round = std::make_shared<ov::op::v5::Round>(convert_param, ov::op::v5::Round::RoundMode::HALF_TO_EVEN);
auto convert_result = std::make_shared<ov::op::v0::Convert>(round, type);
convert_result->set_friendly_name("Round");
convert_result->get_output_tensor(0).set_names({"output_tensor", convert_result->get_friendly_name()});
auto result = std::make_shared<ov::op::v0::Result>(convert_result);
result->set_friendly_name("output");
auto f_10_ref = std::make_shared<ov::Model>(ov::ResultVector{result}, ov::ParameterVector{param});
f_10_ref->set_friendly_name("Network");
ov::Core core;
auto f_10_core = core.read_model(model, ov::Tensor());
ASSERT_NE(nullptr, f_10_core);
check_version(f_10_core, 10);
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
auto res = fc.compare(f_10_core, f_10_ref);
EXPECT_TRUE(res.valid) << res.message;
}
}
TEST_F(RTInfoDeserialization, names_collision_v10) {
std::string model = R"V0G0N(
<net name="Network" version="10">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f16" shape="1,3,22,22"/>
<rt_info>
<attribute name="fused_names" version="0" value="in1"/>
<attribute name="old_api_map_order" version="0" value="0,2,3,1" />
<attribute name="old_api_map_element_type" version="0" value="f16"/>
</rt_info>
<output>
<port id="0" precision="FP16" names="input_tensor">
<rt_info>
<attribute name="layout" version="0" layout="[N,C,H,W]"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="input_tensor" id="1" type="Round" version="opset8">
<data mode="half_to_even"/>
<rt_info>
<attribute name="fused_names" version="0" value="Round1,Round2"/>
</rt_info>
<input>
<port id="1" precision="FP16">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP16" names="output_tensor">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_version = [](const std::shared_ptr<ov::Model>& f, int version_ref) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), version_ref);
};
check_version(f, 10);
// read IR v10 with new API
{
ov::Core core;
EXPECT_THROW(core.read_model(model, ov::Tensor()), ov::Exception);
}
}
TEST_F(RTInfoDeserialization, input_and_output_v10) {
std::string model = R"V0G0N(
<net name="Network" version="10">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="i64" shape="1,3,22,22"/>
<output>
<port id="0" precision="I64" names="input_tensor">
<rt_info>
<attribute name="fused_names" version="0" value="test1,test2"/>
<attribute name="layout" version="0" layout="[N,C,H,W]" />
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer id="1" name="sum" type="Add" version="opset1">
<input>
<port id="0">
<rt_info>
<attribute name="fused_names" version="0" value="test2,test3"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1">
<rt_info>
<attribute name="fused_names" version="0" value="test3,test4"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="output_tensor">
<rt_info>
<attribute name="fused_names" version="0" value="test4,test5"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<input>
<port id="0" precision="I64">
<rt_info>
<attribute name="fused_names" version="0" value="test5,test6"/>
<attribute name="layout" version="0" layout="[?,C,H,W]" />
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_rt_info = [](const ov::RTMap& info) {
ASSERT_FALSE(info.count(ov::FusedNames::get_type_info_static()));
};
auto check_version = [](const std::shared_ptr<ov::Model>& f, int ref_version) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), ref_version);
};
check_version(f, 10);
auto param = f->get_parameters()[0];
EXPECT_EQ(param->get_layout(), "");
check_rt_info(param->output(0).get_rt_info());
auto result = f->get_results()[0];
EXPECT_EQ(result->get_layout(), "");
check_rt_info(result->input(0).get_rt_info());
auto add = result->get_input_node_ptr(0);
check_rt_info(add->input(0).get_rt_info());
check_rt_info(add->input(1).get_rt_info());
check_rt_info(add->output(0).get_rt_info());
// read IR v10 with new API and check that CNNNetwork precision conversions are applied
{
const ov::Shape shape{1, 3, 22, 22};
const auto type = ov::element::i64;
auto param = std::make_shared<ov::op::v0::Parameter>(type, shape);
param->set_friendly_name("in1");
param->get_output_tensor(0).set_names({"input_tensor", param->get_friendly_name()});
auto sum = std::make_shared<ov::op::v1::Add>(param, param);
// TODO: No guarantee that exactly 'convert' will be added by post-processing
auto convert_result = std::make_shared<ov::op::v0::Convert>(sum, ov::element::i32);
convert_result->set_friendly_name("sum");
convert_result->get_output_tensor(0).set_names({"output_tensor", convert_result->get_friendly_name()});
auto result = std::make_shared<ov::op::v0::Result>(convert_result);
result->set_friendly_name("output");
auto f_10_ref = std::make_shared<ov::Model>(ov::ResultVector{result}, ov::ParameterVector{param});
f_10_ref->set_friendly_name("Network");
ov::Core core;
auto f_10_core = core.read_model(model, ov::Tensor());
ASSERT_NE(nullptr, f_10_core);
check_version(f_10_core, 10);
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
auto res = fc.compare(f_10_core, f_10_ref);
EXPECT_TRUE(res.valid) << res.message;
}
}
TEST_F(RTInfoDeserialization, node_v11) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f32" shape="1,22,22,3"/>
<rt_info>
<attribute name="old_api_map_element_type" version="0" value="f16"/>
<attribute name="old_api_map_order" version="0" value="0,2,3,1"/>
<attribute name="fused_names" version="0" value="in1"/>
<attribute name="if no version" value="then ignore"/>
<attribute name="fused_names" version="1" comment="unknown version"/>
</rt_info>
<output>
<port id="0" precision="FP32" names="input_tensor">
<rt_info>
<attribute name="layout" version="0" layout="[N,H,W,C]"/>
<no_name version="0" value="param1"/>
<empty_node/>
</rt_info>
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="Round" id="1" type="Round" version="opset8">
<data mode="half_to_even"/>
<rt_info>
<attribute name="fused_names" version="0" value=" Round 1 , Round 2 "/>
</rt_info>
<input>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="output_tensor">
<rt_info>
<attribute name="layout" version="0" layout="[N,H,W,C]"/>
</rt_info>
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<rt_info>
<attribute name="old_api_map_order" version="0" value="0,3,1,2"/>
</rt_info>
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_fused_names = [](const ov::RTMap& info, const std::string& names) {
ASSERT_TRUE(info.count(ov::FusedNames::get_type_info_static()));
auto fused_names_attr = info.at(ov::FusedNames::get_type_info_static()).as<ov::FusedNames>();
EXPECT_EQ(fused_names_attr.getNames(), names);
};
auto check_old_api_map_order = [](const ov::RTMap& info, const std::vector<uint64_t>& order) {
const std::string& old_api_map_key = ov::OldApiMapOrder::get_type_info_static();
ASSERT_TRUE(info.count(old_api_map_key));
auto old_api_map_attr_val = info.at(old_api_map_key).as<ov::OldApiMapOrder>().value;
EXPECT_EQ(old_api_map_attr_val, order);
};
auto check_old_api_map_type = [](const ov::RTMap& info, const ov::element::Type& type) {
const std::string& old_api_map_key = ov::OldApiMapElementType::get_type_info_static();
ASSERT_TRUE(info.count(old_api_map_key));
auto old_api_map_attr_val = info.at(old_api_map_key).as<ov::OldApiMapElementType>().value;
EXPECT_EQ(old_api_map_attr_val, type);
};
auto check_version = [](const std::shared_ptr<ov::Model>& f, int ref_version) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), ref_version);
};
check_version(f, 11);
auto param = f->get_parameters()[0];
check_fused_names(param->get_rt_info(), "in1");
check_old_api_map_order(param->get_rt_info(), std::vector<uint64_t>({0, 2, 3, 1}));
check_old_api_map_type(param->get_rt_info(), ov::element::Type_t::f16);
auto result = f->get_result();
check_old_api_map_order(result->get_rt_info(), std::vector<uint64_t>({0, 3, 1, 2}));
auto round = result->get_input_node_ptr(0);
check_fused_names(round->get_rt_info(), "Round 1,Round 2");
// read IR v11 with new API
{
ov::Core core;
auto f_11 = core.read_model(model, ov::Tensor());
ASSERT_NE(nullptr, f_11);
check_old_api_map_order(f_11->get_parameters()[0]->get_rt_info(), std::vector<uint64_t>({0, 2, 3, 1}));
check_old_api_map_type(f_11->get_parameters()[0]->get_rt_info(), ov::element::Type_t::f16);
check_old_api_map_order(f_11->get_result()->get_rt_info(), std::vector<uint64_t>({0, 3, 1, 2}));
auto res = compare_functions(f, f_11);
EXPECT_TRUE(res.first) << res.second;
check_version(f_11, 11);
}
}
TEST_F(RTInfoDeserialization, node_v11_multiple_rt_keys) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f32" shape="1,22,22,3"/>
<rt_info>
<attribute name="old_api_map_order" version="0" value="0,2,3,1"/>
<attribute name="old_api_map_order" version="0" value="0,1,2,3"/>
<attribute name="fused_names" version="0" value="in1"/>
</rt_info>
<output>
<port id="0" precision="FP32" names="input_tensor">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="Round" id="1" type="Round" version="opset8">
<data mode="half_to_even"/>
<rt_info>
<attribute name="fused_names" version="0" value="Round1,Round2"/>
</rt_info>
<input>
<rt_info>
<attribute name="fused_names" version="0" value="check"/>
<attribute name="fused_names" version="0" value="multiple_keys"/>
</rt_info>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="output_tensor">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<rt_info>
<attribute name="old_api_map_order" version="0" value="0,3,1,2"/>
</rt_info>
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
ASSERT_THROW(getWithIRFrontend(model), ov::Exception);
}
TEST_F(RTInfoDeserialization, input_and_output_v11) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f32" shape="1,3,22,22"/>
<output>
<port id="0" precision="FP32">
<rt_info>
<attribute name="fused_names" version="0" value="test1,test2"/>
<attribute name="layout" version="0" layout="[N,C,H,W]" />
<attribute name="memory_type" version="0" value="test_memory_type" />
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer id="1" name="sum" type="Add" version="opset1">
<input>
<port id="0">
<rt_info>
<attribute name="fused_names" version="0" value="test2,test3"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1">
<rt_info>
<attribute name="fused_names" version="0" value="test3,test4"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<rt_info>
<attribute name="fused_names" version="0" value="test4,test5"/>
<attribute name="layout" version="0" layout="[?,C,H,W]" />
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="2" version="opset8">
<input>
<port id="0" precision="FP32">
<rt_info>
<attribute name="fused_names" version="0" value="test5,test6"/>
</rt_info>
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
<edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_version = [](const std::shared_ptr<ov::Model>& f, int ref_version) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), ref_version);
};
check_version(f, 11);
auto check_fused_names = [](const ov::RTMap& info, const std::string& names) {
const std::string& key = ov::FusedNames::get_type_info_static();
ASSERT_TRUE(info.count(key));
auto fused_names_attr = info.at(key).as<ov::FusedNames>();
ASSERT_EQ(fused_names_attr.getNames(), names);
};
auto param = f->get_parameters()[0];
check_fused_names(param->output(0).get_rt_info(), "test1,test2");
EXPECT_EQ(param->get_layout(), "NCHW");
auto var0 = f->input(0)
.get_rt_info()
.at(ov::preprocess::TensorInfoMemoryType::get_type_info_static())
.as<ov::preprocess::TensorInfoMemoryType>()
.value;
EXPECT_EQ(var0, "test_memory_type");
auto result = f->get_result();
check_fused_names(result->input(0).get_rt_info(), "test5,test6");
EXPECT_EQ(f->get_results()[0]->get_layout(), "?CHW");
auto add = result->get_input_node_ptr(0);
check_fused_names(add->input(0).get_rt_info(), "test2,test3");
check_fused_names(add->input(1).get_rt_info(), "test3,test4");
check_fused_names(add->output(0).get_rt_info(), "test4,test5");
}
TEST_F(RTInfoDeserialization, indexes_input_and_output_v11) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="in1" type="Parameter" id="0" version="opset8">
<data element_type="f32" shape="1,3,22,22"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="in2" type="Parameter" id="1" version="opset8">
<data element_type="f32" shape="1,3,22,22"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer id="2" name="sum" type="Add" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer id="4" name="relu" type="Relu" version="opset8">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output2" type="Result" id="5" version="opset8">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
<layer name="output1" type="Result" id="3" version="opset8">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="2" to-port="1"/>
<edge from-layer="2" from-port="2" to-layer="3" to-port="0"/>
<edge from-layer="2" from-port="2" to-layer="4" to-port="0"/>
<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
</edges>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_version = [](const std::shared_ptr<ov::Model>& f, int ref_version) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), ref_version);
};
check_version(f, 11);
ASSERT_EQ(2, f->get_parameters().size());
ASSERT_EQ(f->get_parameters()[0]->get_friendly_name(), "in1");
ASSERT_EQ(f->get_parameters()[1]->get_friendly_name(), "in2");
ASSERT_EQ(2, f->get_results().size());
ASSERT_EQ(f->get_results()[0]->get_friendly_name(), "output2");
ASSERT_EQ(f->get_results()[1]->get_friendly_name(), "output1");
}
TEST_F(RTInfoDeserialization, node_naming_v11) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer id="0" name="input" type="Parameter" version="opset1">
<data shape="1,3,224,224" element_type="f32" />
<output>
<port id="0" precision="FP32" names="input">
<dim>1</dim>
<dim>3</dim>
<dim>224</dim>
<dim>224</dim>
</port>
</output>
</layer>
<layer id="1" name="output" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>224</dim>
<dim>224</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
</edges>
<rt_info>
<framework>
<item0 value="0" /> <!-- Old-style notation, may cause an issue if starts with an unexpected character. Compatibility. -->
<info name="item1" value="1" /> <!-- New-style notation, name can contain any characters -->
</framework>
<info name="conversion_parameters"> <!-- New-style whole block -->
<info name="input_model" value="DIR\model.onnx" />
<info name="is_python_api_used" value="True" />
</info>
</rt_info>
</net>
)V0G0N";
auto f = getWithIRFrontend(model);
ASSERT_NE(nullptr, f);
auto check_version = [](const std::shared_ptr<ov::Model>& f, int ref_version) {
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("version"));
ASSERT_TRUE(rt_info.at("version").is<int64_t>());
ASSERT_EQ(rt_info.at("version").as<int64_t>(), ref_version);
};
check_version(f, 11);
auto& rt_info = f->get_rt_info();
ASSERT_TRUE(rt_info.count("framework"));
ASSERT_TRUE(rt_info.count("conversion_parameters"));
auto& item0 = f->get_rt_info<std::string>("framework", "item0");
ASSERT_EQ(item0, "0");
auto& item1 = f->get_rt_info<std::string>("framework", "item1");
ASSERT_EQ(item1, "1");
auto& is_python_api_used = f->get_rt_info<std::string>("conversion_parameters", "is_python_api_used");
ASSERT_EQ(is_python_api_used, "True");
}