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frontend_test_basic.cpp
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// Copyright (C) 2018-2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "common_test_utils/test_assertions.hpp"
#include "frontend_test.hpp"
#include "openvino/opsets/opset1.hpp"
#include "openvino/opsets/opset3.hpp"
#include "openvino/opsets/opset6.hpp"
#include "utils.hpp"
class IRFrontendTests : public ::testing::Test, public IRFrontendTestsImpl {
protected:
void SetUp() override {}
void TearDown() override {
RemoveTemporalFiles();
}
};
class IRFrontendMMapTests : public ::testing::TestWithParam<bool>, public IRFrontendTestsImpl {
protected:
void SetUp() override {}
void TearDown() override {
RemoveTemporalFiles();
}
};
TEST_F(IRFrontendTests, elementary_model_reading_v11) {
std::string testModelV11 = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ov::RTMap rtInfo;
uint64_t version = 0;
OV_ASSERT_NO_THROW(model = getWithIRFrontend(testModelV11));
ASSERT_TRUE(!!model);
OV_ASSERT_NO_THROW(rtInfo = model->get_rt_info());
OV_ASSERT_NO_THROW(version = rtInfo["version"].as<int64_t>());
ASSERT_EQ(11, version);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto result = std::make_shared<ov::opset1::Result>(parameter);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_F(IRFrontendTests, elementary_model_reading_v11_undefined_precisoin) {
std::string testModelV11 = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<data element_type="undefined" shape="1,3,22,22"/>
<output>
<port id="0" precision="UNSPECIFIED">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="1" version="opset1">
<input>
<port id="0" precision="UNSPECIFIED">
<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"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ov::RTMap rtInfo;
uint64_t version = 0;
OV_ASSERT_NO_THROW(model = getWithIRFrontend(testModelV11));
ASSERT_TRUE(!!model);
OV_ASSERT_NO_THROW(rtInfo = model->get_rt_info());
OV_ASSERT_NO_THROW(version = rtInfo["version"].as<int64_t>());
ASSERT_EQ(11, version);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::dynamic, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto result = std::make_shared<ov::opset1::Result>(parameter);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_F(IRFrontendTests, elementary_model_reading_v11_dynamic_precisoin) {
std::string testModelV11 = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<data element_type="dynamic" shape="1,3,22,22"/>
<output>
<port id="0" precision="dynamic">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="1" version="opset1">
<input>
<port id="0" precision="dynamic">
<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"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ov::RTMap rtInfo;
uint64_t version = 0;
OV_ASSERT_NO_THROW(model = getWithIRFrontend(testModelV11));
ASSERT_TRUE(!!model);
OV_ASSERT_NO_THROW(rtInfo = model->get_rt_info());
OV_ASSERT_NO_THROW(version = rtInfo["version"].as<int64_t>());
ASSERT_EQ(11, version);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::dynamic, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto result = std::make_shared<ov::opset1::Result>(parameter);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_F(IRFrontendTests, elementary_model_reading_v10) {
std::string testModelV10 = R"V0G0N(
<net name="Network" version="10">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> modelv10;
ov::RTMap rtInfoV10;
uint64_t version = 0;
OV_ASSERT_NO_THROW(modelv10 = getWithIRFrontend(testModelV10));
ASSERT_TRUE(!!modelv10);
OV_ASSERT_NO_THROW(rtInfoV10 = modelv10->get_rt_info());
OV_ASSERT_NO_THROW(version = rtInfoV10["version"].as<int64_t>());
ASSERT_EQ(10, version);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto result = std::make_shared<ov::opset1::Result>(parameter);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(modelv10, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_F(IRFrontendTests, DISABLED_elementary_model_reading_v9) {
std::string testModelV9 = R"V0G0N(
<net name="Network" version="9">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> modelv9;
ASSERT_THROW(modelv9 = core.read_model(testModelV9, ov::Tensor()), ov::Exception);
ASSERT_FALSE(!!modelv9);
}
TEST_F(IRFrontendTests, model_with_missing_weights) {
std::string testModelV11 = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="value1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Transpose0321" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
ASSERT_THROW(core.read_model(testModelV11, ov::Tensor()), ov::Exception);
}
TEST_P(IRFrontendMMapTests, model_with_weights_reading_from_disk) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="value1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Transpose0321" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(32, 0);
uint64_t* uint64Buffer = reinterpret_cast<uint64_t*>(buffer.data());
uint64Buffer[0] = 0;
uint64Buffer[1] = 3;
uint64Buffer[2] = 2;
uint64Buffer[3] = 1;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ov::Core new_core;
new_core.set_property(ov::enable_mmap(GetParam()));
OV_ASSERT_NO_THROW(model = new_core.read_model(xmlFileName, binFileName));
ASSERT_TRUE(!!model);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto constant =
std::make_shared<ov::opset1::Constant>(ov::element::i64, ov::Shape{4}, std::vector<uint64_t>{0, 3, 2, 1});
constant->set_friendly_name("value1");
auto transpose = std::make_shared<ov::opset1::Transpose>(parameter, constant);
transpose->set_friendly_name("Transpose0321");
auto result = std::make_shared<ov::opset1::Result>(transpose);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_P(IRFrontendMMapTests, model_with_lp_weights_reading_from_disk) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Model" version="11">
<layers>
<layer id="0" name="A" type="Parameter" version="opset1">
<data shape="" element_type="u4" />
<output>
<port id="0" precision="U4" names="" />
</output>
</layer>
<layer id="1" name="my_const" type="Const" version="opset1">
<data element_type="u4" shape="" offset="0" size="1" />
<output>
<port id="0" precision="U4" />
</output>
</layer>
<layer id="2" name="Add_4" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="U4" />
<port id="1" precision="U4" />
</input>
<output>
<port id="2" precision="U4" />
</output>
</layer>
<layer id="3" name="Result_5" type="Result" version="opset1">
<input>
<port id="0" precision="U4" />
</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" />
</edges>
<rt_info />
</net>
)V0G0N";
std::vector<unsigned char> buffer(1, 0);
auto buffer_ptr = reinterpret_cast<uint8_t*>(buffer.data());
buffer_ptr[0] = 0x18;
auto t = ov::Tensor(ov::element::u4, ov::Shape{}, buffer.data());
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ov::Core new_core;
new_core.set_property(ov::enable_mmap(GetParam()));
OV_ASSERT_NO_THROW(model = new_core.read_model(xmlFileName, binFileName));
ASSERT_TRUE(!!model);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::u4, ov::Shape{});
parameter->set_friendly_name("A");
auto constant = std::make_shared<ov::opset1::Constant>(t);
constant->set_friendly_name("my_const");
auto transpose = std::make_shared<ov::opset1::Add>(parameter, constant);
transpose->set_friendly_name("Add_4");
auto result = std::make_shared<ov::opset1::Result>(transpose);
result->set_friendly_name("Result_5");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
for (auto&& op : model->get_ops()) {
if (auto c = ov::as_type<ov::op::v0::Constant>(op.get())) {
const auto v = c->get_vector<uint8_t>();
EXPECT_EQ(v[0], 0x08);
}
}
}
INSTANTIATE_TEST_SUITE_P(EnableMMapPropery, IRFrontendMMapTests, ::testing::Bool());
TEST_F(IRFrontendTests, model_without_weights_reading_from_disk) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
createTemporalModelFile(xmlModel);
std::shared_ptr<ov::Model> model;
OV_ASSERT_NO_THROW(model = core.read_model(xmlFileName));
ASSERT_TRUE(!!model);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 3, 22, 22});
parameter->set_friendly_name("input");
auto result = std::make_shared<ov::opset1::Result>(parameter);
result->set_friendly_name("output");
modelRef = std::make_shared<ov::Model>(ov::NodeVector{result}, ov::ParameterVector{parameter});
}
const auto fc = FunctionsComparator::with_default()
.enable(FunctionsComparator::ATTRIBUTES)
.enable(FunctionsComparator::PRECISIONS)
.enable(FunctionsComparator::RUNTIME_KEYS)
.enable(FunctionsComparator::NAMES)
.enable(FunctionsComparator::CONST_VALUES);
const auto res = fc.compare(model, modelRef);
EXPECT_TRUE(res.valid) << res.message;
}
TEST_F(IRFrontendTests, model_with_wrong_shape) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="value1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="16" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Transpose0321" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(32, 0);
uint64_t* uint64Buffer = reinterpret_cast<uint64_t*>(buffer.data());
uint64Buffer[0] = 0;
uint64Buffer[1] = 3;
uint64Buffer[2] = 2;
uint64Buffer[3] = 1;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ASSERT_THROW(core.read_model(xmlFileName, binFileName), ov::Exception);
}
TEST_F(IRFrontendTests, model_with_underallocated_weights_reading_from_disk) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="value1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Transpose0321" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(24, 0);
uint64_t* uint64Buffer = reinterpret_cast<uint64_t*>(buffer.data());
uint64Buffer[0] = 0;
uint64Buffer[1] = 3;
uint64Buffer[2] = 2;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ASSERT_THROW(core.read_model(xmlFileName, binFileName), ov::Exception);
}
TEST_F(IRFrontendTests, model_with_missing_weights_from_disk) {
std::string xmlModel = R"V0G0N(
<?xml version="1.0" ?>
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="value1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Transpose0321" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
createTemporalModelFile(xmlModel);
std::shared_ptr<ov::Model> model;
ASSERT_THROW(core.read_model(xmlFileName, binFileName), ov::Exception);
}
TEST_F(IRFrontendTests, missing_layer_data) {
std::string model = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
ASSERT_THROW(core.read_model(model, ov::Tensor()), ov::Exception);
}
TEST_F(IRFrontendTests, model_with_wrong_dimensions) {
std::string testModel = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<data element_type="f32" shape="1,3,22,22"/>
<output>
<port id="0" precision="FP32">
<dim>-2</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="1" version="opset1">
<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="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ASSERT_THROW(model = core.read_model(testModel, ov::Tensor()), ov::Exception);
ASSERT_TRUE(!model);
}
TEST_F(IRFrontendTests, name_is_not_unique) {
std::string xmlModel = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer name="input" type="Parameter" id="0" version="opset1">
<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="1" name="testname" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="testname" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>22</dim>
<dim>22</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>22</dim>
<dim>22</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer name="output" type="Result" id="3" version="opset1">
<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="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"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(32, 0);
int64_t* int64Buffer = reinterpret_cast<int64_t*>(buffer.data());
int64Buffer[0] = 0;
int64Buffer[1] = 3;
int64Buffer[2] = 2;
int64Buffer[3] = 1;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
EXPECT_NO_THROW(core.read_model(xmlFileName, binFileName));
}
TEST_F(IRFrontendTests, edge_has_wrong_port_id) {
std::string testModel = R"V0G0N(