openvino/inference-engine/tests/functional/inference_engine/ngraph_reader/relu_tests.cpp

// Copyright (C) 2018-2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include <string>
#include "ngraph_reader_tests.hpp"
TEST_F(NGraphReaderTests, ReadReLUNetworkWithoutTopologicalOrder) {
    std::string model = R"V0G0N(
<net name="Network" version="10">
    <layers>
        <layer name="output" type="Result" id="2" version="opset1">
            <input>
                <port id="0" precision="FP32">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </input>
        </layer>
        <layer name="activation" id="1" type="ReLU" version="opset1">
            <input>
                <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">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
        <layer name="in1" 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>
    </layers>
    <edges>
        <edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
        <edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
    </edges>
</net>
)V0G0N";
    std::string modelV5 = R"V0G0N(
<net name="Network" version="5" precision="FP32" batch="1">
    <layers>
        <layer name="activation" id="1" type="ReLU" precision="FP32">
            <input>
                <port id="1">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </input>
            <output>
                <port id="2">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
        <layer name="in1" type="Input" precision="FP32" id="0">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
    </edges>
</net>
)V0G0N";

    compareIRs(model, modelV5, 0);
}

TEST_F(NGraphReaderTests, ReadReLUNetwork) {
    std::string model = R"V0G0N(
<net name="Network" version="10">
    <layers>
        <layer name="in1" 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="activation" id="1" type="ReLU" version="opset1">
            <input>
                <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">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
        <layer name="output" type="Result" id="2" 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="1"/>
        <edge from-layer="1" from-port="2" to-layer="2" to-port="0"/>
    </edges>
</net>
)V0G0N";
    std::string modelV5 = R"V0G0N(
<net name="Network" version="5" precision="FP32" batch="1">
    <layers>
        <layer name="in1" type="Input" precision="FP32" id="0">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
        <layer name="activation" id="1" type="ReLU" precision="FP32">
            <input>
                <port id="1">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </input>
            <output>
                <port id="2">
                    <dim>1</dim>
                    <dim>3</dim>
                    <dim>22</dim>
                    <dim>22</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="1" to-port="1"/>
    </edges>
</net>
)V0G0N";

    compareIRs(model, modelV5, 0);
}

TEST_F(NGraphReaderTests, ReadReLUScalarNetwork) {
    std::string model = R"V0G0N(
<net name="Network" version="10">
    <layers>
        <layer name="in1" type="Parameter" id="0" version="opset1">
            <data element_type="f32" shape=""/>
            <output>
                <port id="0" precision="FP32" />
            </output>
        </layer>
        <layer name="prior" id="2" type="ReLU"  version="opset1">
            <input>
                <port id="1" precision="FP32" />
            </input>
            <output>
                <port id="2" precision="FP32" />
            </output>
        </layer>
        <layer name="output" type="Result" id="3" version="opset1">
            <input>
                <port id="0" precision="FP32" />
            </input>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" 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";

    Blob::CPtr blob;
    Core reader;
    auto cnn = reader.ReadNetwork(model, blob);

    IE_SUPPRESS_DEPRECATED_START
    // convert to old representation
    getCreatorLayer(cnn.getInputsInfo().begin()->second->getInputData());
    IE_SUPPRESS_DEPRECATED_END
}