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Copy pathtensor_iterator_deserialization.cpp
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tensor_iterator_deserialization.cpp
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// Copyright (C) 2018-2022 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "frontend_test.hpp"
#include "openvino/opsets/opset1.hpp"
#include "openvino/opsets/opset8.hpp"
class IRFrontendTestsTensorIterator : public ::testing::Test, public IRFrontendTestsImpl {
protected:
void SetUp() override {}
void TearDown() override {
RemoveTemporalFiles();
}
};
TEST_F(IRFrontendTestsTensorIterator, tensor_iterator_merged_input) {
std::string testModel = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer id="0" name="Parameter1" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2,3"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1" name="TensorIterator" type="TensorIterator" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</output>
<port_map>
<input external_port_id="0" internal_layer_id="0"/>
<output external_port_id="1" internal_layer_id="1"/>
</port_map>
<back_edges>
<edge from-layer="1" to-layer="0"/>
</back_edges>
<body>
<layers>
<layer id="0" name="internalParameter1" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2,3"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1" name="internalResult1" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
</edges>
</body>
</layer>
<layer id="2" name="Result1" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="1" from-port="1" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ASSERT_NO_THROW(model = core.read_model(testModel, ov::Tensor()));
ASSERT_TRUE(!!model);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 2, 3});
parameter->set_friendly_name("Parameter1");
auto tensor_iterator = std::make_shared<ov::opset8::TensorIterator>();
std::shared_ptr<ov::Model> body;
auto internalParameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 2, 3});
internalParameter->set_friendly_name("internalParameter1");
auto result1 = std::make_shared<ov::opset1::Result>(internalParameter);
result1->set_friendly_name("internalResult1");
body = std::make_shared<ov::Model>(ov::NodeVector{result1}, ov::ParameterVector{internalParameter});
tensor_iterator->set_body(body);
tensor_iterator->set_friendly_name("TensorIterator");
tensor_iterator->set_merged_input(internalParameter, parameter, result1);
auto out0 = tensor_iterator->get_iter_value(result1, -1);
auto result = std::make_shared<ov::opset1::Result>(tensor_iterator->output(0));
result->set_friendly_name("Result1");
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(IRFrontendTestsTensorIterator, tensor_iterator_slised_input) {
std::string testModel = R"V0G0N(
<net name="Network" version="11">
<layers>
<layer id="0" name="Parameter1" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2,3"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1" name="TensorIterator" type="TensorIterator" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</output>
<port_map>
<input axis="2" external_port_id="0" internal_layer_id="0" part_size="1" stride="1"/>
<output axis="2" external_port_id="1" internal_layer_id="1" part_size="1" stride="1"/>
</port_map>
<back_edges>
<edge from-layer="1" to-layer="0"/>
</back_edges>
<body>
<layers>
<layer id="0" name="internalParameter1" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2,1"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="internalResult1" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>1</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
</edges>
</body>
</layer>
<layer id="2" name="Result1" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>3</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="1" from-port="1" to-layer="2" to-port="0"/>
</edges>
</net>
)V0G0N";
std::shared_ptr<ov::Model> model;
ASSERT_NO_THROW(model = core.read_model(testModel, ov::Tensor()));
ASSERT_TRUE(!!model);
std::shared_ptr<ov::Model> modelRef;
{
auto parameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 2, 3});
parameter->set_friendly_name("Parameter1");
auto tensor_iterator = std::make_shared<ov::opset8::TensorIterator>();
std::shared_ptr<ov::Model> body;
auto internalParameter = std::make_shared<ov::opset1::Parameter>(ov::element::f32, ov::Shape{1, 2, 3});
internalParameter->set_friendly_name("internalParameter1");
auto result1 = std::make_shared<ov::opset1::Result>(internalParameter);
result1->set_friendly_name("internalResult1");
body = std::make_shared<ov::Model>(ov::NodeVector{result1}, ov::ParameterVector{internalParameter});
tensor_iterator->set_body(body);
tensor_iterator->set_friendly_name("TensorIterator");
tensor_iterator->set_sliced_input(internalParameter, parameter, 0, 1, 1, -1, 2);
auto out0 = tensor_iterator->get_concatenated_slices(result1, 0, 1, 1, -1, 2);
auto result = std::make_shared<ov::opset1::Result>(tensor_iterator->output(0));
result->set_friendly_name("Result1");
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(IRFrontendTestsTensorIterator, loop1) {
std::string xmlModel = R"V0G0N(
<net name="yolov3-10" version="11">
<layers>
<layer id="0" name="TFNodes/yolo_evaluation_layer_1/arange_4__77_trip_cnt/placeholder_port_0" type="Parameter" version="opset1">
<data element_type="f32" shape=""/>
<output>
<port id="0" precision="FP32"/>
</output>
</layer>
<layer id="1" name="TFNodes/yolo_evaluation_layer_1/arange_4__77_trip_cnt" type="Convert" version="opset1">
<data destination_type="i64"/>
<input>
<port id="0"/>
</input>
<output>
<port id="1" precision="I64"/>
</output>
</layer>
<layer id="2" name="TFNodes/yolo_evaluation_layer_1/arange__271_cond/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="boolean" offset="0" shape="" size="1"/>
<output>
<port id="1" precision="BOOL"/>
</output>
</layer>
<layer id="3" name="TFNodes/yolo_evaluation_layer_1/arange_5/start:0/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="i32" offset="1" shape="" size="4"/>
<output>
<port id="1" precision="I32"/>
</output>
</layer>
<layer id="4" name="TFNodes/yolo_evaluation_layer_1/arange_5/delta:0/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="i32" offset="5" shape="" size="4"/>
<output>
<port id="1" precision="I32"/>
</output>
</layer>
<layer id="5" name="TFNodes/yolo_evaluation_layer_1/arange_4__77_loop" type="Loop" version="opset5">
<input>
<port id="0"/>
<port id="1"/>
<port id="2"/>
<port id="3"/>
</input>
<output>
<port id="4" precision="I32">
<dim>1</dim>
</port>
</output>
<port_map>
<input external_port_id="3" internal_layer_id="6"/>
<input external_port_id="1" internal_layer_id="0"/>
<input external_port_id="2" internal_layer_id="2"/>
<output external_port_id="-1" internal_layer_id="1" purpose="execution_condition"/>
<output axis="0" external_port_id="4" internal_layer_id="5"/>
</port_map>
<back_edges>
<edge from-layer="1" from-port="0" to-layer="0" to-port="0"/>
<edge from-layer="8" from-port="0" to-layer="2" to-port="0"/>
</back_edges>
<body>
<layers>
<layer id="0" name="cond" type="Parameter" version="opset1">
<data element_type="boolean" shape=""/>
<output>
<port id="0" precision="BOOL"/>
</output>
</layer>
<layer id="1" name="Identity__82/sink_port_0" type="Result" version="opset1">
<data order="0"/>
<input>
<port id="0"/>
</input>
</layer>
<layer id="2" name="prev" type="Parameter" version="opset1">
<data element_type="i32" shape=""/>
<output>
<port id="0" precision="I32"/>
</output>
</layer>
<layer id="3" name="11_input_port_1/value/Output_0/Data__const" type="Const" version="opset1">
<data element_type="i64" offset="0" shape="1" size="8"/>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="4" name="11" type="Unsqueeze" version="opset1">
<input>
<port id="0"/>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="Identity__84/sink_port_0" type="Result" version="opset1">
<data order="2"/>
<input>
<port id="0">
<dim>1</dim>
</port>
</input>
</layer>
<layer id="6" name="TFNodes/yolo_evaluation_layer_1/arange_5/delta:0" type="Parameter" version="opset1">
<data element_type="i32" shape=""/>
<output>
<port id="0" precision="I32"/>
</output>
</layer>
<layer id="7" name="add__83" type="Add" version="opset1">
<input>
<port id="0"/>
<port id="1"/>
</input>
<output>
<port id="2" precision="I32"/>
</output>
</layer>
<layer id="8" name="add__83/sink_port_0" type="Result" version="opset1">
<data order="1"/>
<input>
<port id="0"/>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="2" from-port="0" to-layer="4" to-port="0"/>
<edge from-layer="3" from-port="1" to-layer="4" to-port="1"/>
<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
<edge from-layer="2" from-port="0" to-layer="7" to-port="0"/>
<edge from-layer="6" from-port="0" to-layer="7" to-port="1"/>
<edge from-layer="7" from-port="2" to-layer="8" to-port="0"/>
</edges>
</body>
</layer>
<layer id="8" name="TFNodes/yolo_evaluation_layer_1/Reshape_13/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="1" from-port="1" to-layer="5" to-port="0"/>
<edge from-layer="2" from-port="1" to-layer="5" to-port="1"/>
<edge from-layer="3" from-port="1" to-layer="5" to-port="2"/>
<edge from-layer="4" from-port="1" to-layer="5" to-port="3"/>
<edge from-layer="5" from-port="4" to-layer="8" to-port="0"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(8, 0);
int64_t* int64Buffer = reinterpret_cast<int64_t*>(buffer.data());
int64Buffer[0] = 0;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ASSERT_NO_THROW(model = core.read_model(xmlFileName, binFileName));
ASSERT_TRUE(!!model);
}
TEST_F(IRFrontendTestsTensorIterator, loop2) {
std::string xmlModel = R"V0G0N(
<net name="loop_2d_add" version="11">
<layers>
<layer id="0" name="trip_count/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="i64" offset="0" shape="1" size="8"/>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="a_final5/execution_cond/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="boolean" offset="8" shape="" size="1"/>
<output>
<port id="1" precision="BOOL"/>
</output>
</layer>
<layer id="2" name="a_init" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="3" name="a_final5" type="Loop" version="opset5">
<input>
<port id="0">
<dim>1</dim>
</port>
<port id="1"/>
<port id="2">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</output>
<port_map>
<input external_port_id="1" internal_layer_id="0"/>
<input external_port_id="2" internal_layer_id="2"/>
<output external_port_id="-1" internal_layer_id="1" purpose="execution_condition"/>
<output external_port_id="3" internal_layer_id="5"/>
<output axis="0" external_port_id="4" internal_layer_id="8"/>
</port_map>
<back_edges>
<edge from-layer="1" from-port="0" to-layer="0" to-port="0"/>
<edge from-layer="5" from-port="0" to-layer="2" to-port="0"/>
</back_edges>
<body>
<layers>
<layer id="0" name="cond_in" type="Parameter" version="opset1">
<data element_type="boolean" shape=""/>
<output>
<port id="0" precision="BOOL"/>
</output>
</layer>
<layer id="1" name="cond_identity/sink_port_0" type="Result" version="opset1">
<input>
<port id="0"/>
</input>
</layer>
<layer id="2" name="a_in" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="3" name="b/Output_0/Data__const" type="Const" version="opset1">
<data element_type="f32" offset="0" shape="1,2" size="8"/>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="4" name="loop_body_add" type="Add" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="5" name="loop_body_add/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
<layer id="6" name="11_input_port_1/value/Output_0/Data__const" type="Const" version="opset1">
<data element_type="i64" offset="0" shape="1" size="8"/>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="11" type="Unsqueeze" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="8" name="output_accumulator/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="2" from-port="0" to-layer="4" to-port="0"/>
<edge from-layer="3" from-port="1" to-layer="4" to-port="1"/>
<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
<edge from-layer="4" from-port="2" to-layer="7" to-port="0"/>
<edge from-layer="6" from-port="1" to-layer="7" to-port="1"/>
<edge from-layer="7" from-port="2" to-layer="8" to-port="0"/>
</edges>
</body>
</layer>
<layer id="6" name="a_final/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
<layer id="9" name="a_values/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="1" to-layer="3" to-port="0"/>
<edge from-layer="1" from-port="1" to-layer="3" to-port="1"/>
<edge from-layer="2" from-port="0" to-layer="3" to-port="2"/>
<edge from-layer="3" from-port="3" to-layer="6" to-port="0"/>
<edge from-layer="3" from-port="4" to-layer="9" to-port="0"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(8, 0);
float* floatBuffer = reinterpret_cast<float*>(buffer.data());
floatBuffer[0] = 0;
floatBuffer[1] = 0;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ASSERT_NO_THROW(model = core.read_model(xmlFileName, binFileName));
ASSERT_TRUE(!!model);
}
TEST_F(IRFrontendTestsTensorIterator, loop_external_port1_is_not_connected) {
std::string xmlModel = R"V0G0N(
<net name="loop_2d_add" version="10">
<layers>
<layer id="0" name="trip_count/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="i64" offset="0" shape="1" size="8"/>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="a_final5/execution_cond/Output_0/Data__const" type="Parameter" version="opset1">
<data element_type="boolean" offset="8" shape="" size="1"/>
<output>
<port id="1" precision="BOOL"/>
</output>
</layer>
<layer id="2" name="a_init" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="3" name="a_final5" type="Loop" version="opset5">
<input>
<port id="0">
<dim>1</dim>
</port>
<port id="1"/>
<port id="2">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</output>
<port_map>
<input external_port_id="0" internal_layer_id="0"/>
<input external_port_id="2" internal_layer_id="2"/>
<output external_port_id="-1" internal_layer_id="1" purpose="execution_condition"/>
<output external_port_id="3" internal_layer_id="5"/>
<output axis="0" external_port_id="4" internal_layer_id="8"/>
</port_map>
<back_edges>
<edge from-layer="1" from-port="0" to-layer="0" to-port="0"/>
<edge from-layer="5" from-port="0" to-layer="2" to-port="0"/>
</back_edges>
<body>
<layers>
<layer id="0" name="cond_in" type="Parameter" version="opset1">
<data element_type="boolean" shape=""/>
<output>
<port id="0" precision="BOOL"/>
</output>
</layer>
<layer id="1" name="cond_identity/sink_port_0" type="Result" version="opset1">
<input>
<port id="0"/>
</input>
</layer>
<layer id="2" name="a_in" type="Parameter" version="opset1">
<data element_type="f32" shape="1,2"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="3" name="b/Output_0/Data__const" type="Const" version="opset1">
<data element_type="f32" offset="0" shape="1,2" size="8"/>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="4" name="loop_body_add" type="Add" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="5" name="loop_body_add/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
<layer id="6" name="11_input_port_1/value/Output_0/Data__const" type="Const" version="opset1">
<data element_type="i64" offset="0" shape="1" size="8"/>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="11" type="Unsqueeze" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="8" name="output_accumulator/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
<edge from-layer="2" from-port="0" to-layer="4" to-port="0"/>
<edge from-layer="3" from-port="1" to-layer="4" to-port="1"/>
<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
<edge from-layer="4" from-port="2" to-layer="7" to-port="0"/>
<edge from-layer="6" from-port="1" to-layer="7" to-port="1"/>
<edge from-layer="7" from-port="2" to-layer="8" to-port="0"/>
</edges>
</body>
</layer>
<layer id="6" name="a_final/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
<layer id="9" name="a_values/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>3</dim>
<dim>1</dim>
<dim>2</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="1" to-layer="3" to-port="0"/>
<edge from-layer="1" from-port="1" to-layer="3" to-port="1"/>
<edge from-layer="2" from-port="0" to-layer="3" to-port="2"/>
<edge from-layer="3" from-port="3" to-layer="6" to-port="0"/>
<edge from-layer="3" from-port="4" to-layer="9" to-port="0"/>
</edges>
</net>
)V0G0N";
std::vector<unsigned char> buffer(8, 0);
float* floatBuffer = reinterpret_cast<float*>(buffer.data());
floatBuffer[0] = 0;
floatBuffer[1] = 0;
createTemporalModelFile(xmlModel, buffer);
std::shared_ptr<ov::Model> model;
ASSERT_NO_THROW(model = core.read_model(xmlFileName, binFileName));
ASSERT_TRUE(!!model);
}
TEST_F(IRFrontendTestsTensorIterator, tensor_iterator_resnet_opset4) {
std::string xmlModel = R"V0G0N(
<net name="Resnet" version="10">
<layers>
<layer id="0" name="data1" type="Parameter" version="opset1">
<data element_type="f32" shape="16,1,512"/>
<output>
<port id="0" precision="FP32">
<dim>16</dim>
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="data2" type="Parameter" version="opset1">
<data element_type="f32" shape="1,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="2" name="data3" type="Parameter" version="opset1">
<data element_type="f32" shape="1,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="3" name="471/TensorIterator" type="TensorIterator" version="opset1">
<input>
<port id="0">
<dim>16</dim>
<dim>1</dim>
<dim>512</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>512</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>16</dim>
<dim>1</dim>
<dim>512</dim>
</port>
<port id="4" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
<port_map>
<input axis="0" external_port_id="0" internal_layer_id="0" part_size="1" stride="1"/>
<input external_port_id="1" internal_layer_id="3"/>
<input external_port_id="2" internal_layer_id="4"/>
<output axis="0" external_port_id="3" internal_layer_id="13" part_size="1" stride="1"/>
<output external_port_id="4" internal_layer_id="9"/>
<output external_port_id="5" internal_layer_id="10"/>
</port_map>
<back_edges>
<edge from-layer="9" to-layer="3"/>
<edge from-layer="10" to-layer="4"/>
</back_edges>
<body>
<layers>
<layer id="0" name="20" type="Parameter" version="opset1">
<data element_type="f32" shape="1,1,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="7_const" type="Const" version="opset1">
<data element_type="i64" offset="0" shape="2" size="16"/>
<output>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="2" name="471/input_squeeze" type="Reshape" version="opset1">
<data special_zero="True"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>512</dim>
</port>
<port id="1">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="3" name="22" type="Parameter" version="opset1">
<data element_type="f32" shape="1,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="4" name="24" type="Parameter" version="opset1">
<data element_type="f32" shape="1,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="5" name="471/LSTMCell/Split149_const" type="Const" version="opset1">
<data element_type="f32" offset="16" shape="2048,512" size="4194304"/>
<output>
<port id="1" precision="FP32">
<dim>2048</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="6" name="471/LSTMCell/Split150_const" type="Const" version="opset1">
<data element_type="f32" offset="4194320" shape="2048,512" size="4194304"/>
<output>
<port id="1" precision="FP32">
<dim>2048</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="7" name="471/inport/2_const" type="Const" version="opset1">
<data element_type="f32" offset="8388624" shape="2048" size="8192"/>
<output>
<port id="1" precision="FP32">
<dim>2048</dim>
</port>
</output>
</layer>
<layer id="8" name="471/LSTMCell" type="LSTMCell" version="opset4">
<data hidden_size="512"/>
<input>
<port id="0">
<dim>1</dim>