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 * INTEL CONFIDENTIAL
 * Copyright (C) 2018-2019 Intel Corporation.
 *
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 * related to the source code ("Material") are owned by Intel Corporation
 * or its suppliers or licensors. Title to the Material remains with
 * Intel Corporation or its suppliers and licensors. The Material may
 * contain trade secrets and proprietary and confidential information
 * of Intel Corporation and its suppliers and licensors, and is protected
 * by worldwide copyright and trade secret laws and treaty provisions.
 * No part of the Material may be used, copied, reproduced, modified,
 * published, uploaded, posted, transmitted, distributed, or disclosed
 * in any way without Intel's prior express written permission.
 *
 * No license under any patent, copyright, trade secret or other
 * intellectual property right is granted to or conferred upon you by
 * disclosure or delivery of the Materials, either expressly, by implication,
 * inducement, estoppel or otherwise. Any license under such intellectual
 * property rights must be express and approved by Intel in writing.
 *
 * Include any supplier copyright notices as supplier requires Intel to use.
 *
 * Include supplier trademarks or logos as supplier requires Intel to use,
 * preceded by an asterisk. An asterisked footnote can be added as follows:
 * *Third Party trademarks are the property of their respective owners.
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 * this notice or any other notice embedded in Materials by Intel or Intel's
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 */

#include "test_irs.hpp"

namespace GNATestIRs {

std::string FCOnlyModel() {
    return R"V0G0N(
<Net Name="FullyConnected_Only" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>


        <layer name="FullyConnected" id="1" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string Fc2DOutputModel() {
    return R"V0G0N(
<Net Name="FullyConnected_Only" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>


        <layer name="FullyConnected" id="1" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string affineToMemoryModel() {
    return R"V0G0N(
<Net Name="FullyConnected_ToMemory" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="FullyConnected" id="1" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>

        <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
			<data operation="sum" />
			<input>
				<port id="0">
					<!--connected to FullyConnected-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="1">
					<!--connected to Memory_28-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="Memory_27" type="Memory" id="27" precision="FP32">
			<data id="r_27-28" index="0" size="2" />
			<input>
				<port id="60">
					<!--connected to FullyConnected-->
                    <dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
		</layer>

		<layer name="Memory_28" type="Memory" id="28" precision="FP32">
			<data id="r_27-28" index="1" size="2" />
			<output>
				<port id="59">
					<!--connected to , Eltwise_8-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</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="27" to-port="60" />
        <edge from-layer="1" from-port="1" to-layer="11" to-port="1" />
        <edge from-layer="28" from-port="59" to-layer="11" to-port="0" />
    </edges>
</Net>
)V0G0N";
}
std::string eltwiseToMemoryModelNoOutput() {
    return R"V0G0N(
<Net Name="FullyConnected_ToMemory" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>


        <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
			<data operation="sum" />
			<input>
				<port id="0">
					<!--connected to FullyConnected-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="1">
					<!--connected to Memory_28-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>


        <layer name="Memory_27" type="Memory" id="27" precision="FP32">
			<data id="r_27-28" index="0" size="2" />
			<input>
				<port id="60">
					<!--connected to Eltwise_8-->
                    <dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
		</layer>

		<layer name="Memory_28" type="Memory" id="28" precision="FP32">
			<data id="r_27-28" index="1" size="2" />
			<output>
				<port id="59">
					<!--connected to , Eltwise_8-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="11" to-port="1" />
        <edge from-layer="11" from-port="2" to-layer="27" to-port="60" />
        <edge from-layer="28" from-port="59" to-layer="11" to-port="0" />
    </edges>
</Net>
)V0G0N";
}
std::string eltwiseToMemoryModel() {
    return R"V0G0N(
<Net Name="FullyConnected_ToMemory" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>
        <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
			<data operation="sum" />
			<input>
				<port id="0">
					<!--connected to Memory_28-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="1">
					<!--connected to input-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="Eltwise_9" type="Eltwise" id="12" precision="FP32">
			<data operation="sum" />
			<input>
				<port id="0">
					<!--connected Memory_28 to -->
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="1">
					<!--connected to Elwise_8-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="Memory_27" type="Memory" id="27" precision="FP32">
			<data id="r_27-28" index="0" size="2" />
			<input>
				<port id="60">
					<!--connected to Eltwise_8-->
                    <dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
		</layer>

		<layer name="Memory_28" type="Memory" id="28" precision="FP32">
			<data id="r_27-28" index="1" size="2" />
			<output>
				<port id="59">
					<!--connected to , Eltwise_8-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
                <port id="5010">
					<!--connected to , Eltwise_9-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="11" to-port="1" />
        <edge from-layer="11" from-port="2" to-layer="27" to-port="60" />
        <edge from-layer="11" from-port="2" to-layer="12" to-port="1" />
        <edge from-layer="28" from-port="59" to-layer="11" to-port="0" />
        <edge from-layer="28" from-port="5010" to-layer="12" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string activationAfterSplitModel() {
    return R"V0G0N(
    <net Name="activationAfterSplit" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <!--connected to split-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <!--connected to tanh_28-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

            <layer name="Split_1" type="Split" id="12" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to tanh-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="2">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="Activation_38" type="Activation" id="38" precision="FP32">
                <data type="tanh" />
                <input>
                    <port id="82">
                        <!--connected to Eltwise_37-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="83">
                        <!--connected to , Eltwise_41-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
        </layers>
        <edges>
            <edge from-layer="0" from-port="0" to-layer="12" to-port="0" />
            <edge from-layer="12" from-port="1" to-layer="11" to-port="0" />
            <edge from-layer="12" from-port="2" to-layer="38" to-port="82" />
            <edge from-layer="38" from-port="83" to-layer="11" to-port="1" />
        </edges>
    </net>
    )V0G0N";
}

std::string FCWithPaddingAfterSplitModel() {
    return R"V0G0N(
    <Net Name="FCWithPaddingAfterSplitModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Split_1" type="Split" id="1" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="11" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_8" type="Eltwise" id="21" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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="21" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="11" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string FCBeforeSplitModel() {
    return R"V0G0N(
    <Net Name="FCBeforeSplitModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected_1" id="1" type="InnerProduct" precision="FP32">
                <fc out-size="20" />
                <biases offset="0" size="80" />
                <weights offset="80" size="1600" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Split_1" type="Split" id="2" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected_2" id="11" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="1600" size="40" />
                <weights offset="1640" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_8" type="Eltwise" id="21" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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" />
            <edge from-layer="2" from-port="1" to-layer="21" to-port="0" />
            <edge from-layer="2" from-port="2" to-layer="11" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}
std::string twoFCWithPaddingAfterSliceModel() {
    return R"V0G0N(
    <Net Name="twoFCWithPaddingAfterSliceModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Slice_1" type="Slice" id="1" precision="FP32">
                <data axis="1" slice_point="8" slice_dim="1"/>
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>12</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="11" type="InnerProduct" precision="FP32">
                <fc out-size="8" />
                <biases offset="0" size="32" />
                <weights offset="32" size="384" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>12</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected2" id="12" type="InnerProduct" precision="FP32">
                <fc out-size="8" />
                <biases offset="0" size="32" />
                <weights offset="32" size="384" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>12</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_1" type="Eltwise" id="21" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_2" type="Eltwise" id="22" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </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="21" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="11" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="12" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="1" />
            <edge from-layer="21" from-port="2" to-layer="22" to-port="0" />
            <edge from-layer="12" from-port="1" to-layer="22" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string FCWithPaddingAfterSliceModel() {
    return R"V0G0N(
    <Net Name="FCWithPaddingAfterSliceModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Slice_1" type="Slice" id="1" precision="FP32">
                <data axis="1" slice_point="8" slice_dim="1"/>
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>12</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="11" type="InnerProduct" precision="FP32">
                <fc out-size="8" />
                <biases offset="0" size="32" />
                <weights offset="32" size="384" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>12</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_8" type="Eltwise" id="21" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>8</dim>
                    </port>
                </output>
            </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="21" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="11" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string SliceModelWithAlignedOutputs() {
    return R"V0G0N(
    <Net Name="SliceModelWithAlignedOutputs" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Slice_1" type="Slice" id="1" precision="FP32">
                <data axis="1" slice_point="8" slice_dim="1"/>
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>16</dim>
                    </port>
                    <port id="2">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>4</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="11" type="InnerProduct" precision="FP32">
                <fc out-size="4" />
                <biases offset="0" size="16" />
                <weights offset="16" size="512" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>16</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>4</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_8" type="Eltwise" id="21" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>4</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>4</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>4</dim>
                    </port>
                </output>
            </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="11" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="21" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string eltwiseSummModel()  {
    return R"V0G0N(
    <Net Name="activationAfterSplit" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="2" type="InnerProduct" precision="FP32">

                <fc out-size="10" />

                <biases offset="0" size="40" />
                <weights offset="40" size="400" />

                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

        <layer name="FullyConnected_1" id="3" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>

            <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <!--connected to FC1-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <!--connected to FC2-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
        </layers>
        <edges>
            <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
            <edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="11" to-port="0" />
            <edge from-layer="3" from-port="1" to-layer="11" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}


std::string eltwiseMulModel()  {
    return R"V0G0N(
    <Net Name="eltwiseMul" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="2" type="InnerProduct" precision="FP32">

                <fc out-size="10" />

                <biases offset="0" size="40" />
                <weights offset="40" size="400" />

                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

        <layer name="FullyConnected_1" id="3" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>

            <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
                <data operation="mul" />
                <input>
                    <port id="0">
                        <!--connected to FC1-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <!--connected to FC2-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
        </layers>
        <edges>
            <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
            <edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="11" to-port="0" />
            <edge from-layer="3" from-port="1" to-layer="11" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string scaleShiftAffineModel() {
    return R"V0G0N(
<Net Name="FullyConnected_Only" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="ScaleShift_21" type="ScaleShift" id="21" precision="FP32">
			<input>
				<port id="46">
					<!--connected to input-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="45">
					<!--connected to , FullyConnected-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
			<weights offset="0" size="40" precision="FP32" />
		</layer>

        <layer name="FullyConnected" id="1" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="21" to-port="46" />
        <edge from-layer="21" from-port="45" to-layer="1" to-port="0" />
    </edges>
</Net>
)V0G0N";

}

std::string clampFollowedByTanhModel() {
    return R"V0G0N(
<Net Name="clampFollowedByTanhModel" version="2" precision="FP32" batch="1">
	<layers>
		<layer name="input_1" type="input" id="0" precision="FP32">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="Clamp_20" type="Clamp" id="20" precision="FP32">
			<data max="50" min="-50" />
			<input>
				<port id="43">
					<!--connected to Eltwise_19-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="44">
					<!--connected to , ScaleShift_21, Activation_24, Memory_4-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        <layer name="Activation_38" type="Activation" id="38" precision="FP32">
                <data type="tanh" />
                <input>
                    <port id="82">
                        <!--connected to Eltwise_37-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="83">
                        <!--connected to , Eltwise_41-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>


    </layers>
    <edges>
		<edge from-layer="0" from-port="0" to-layer="20" to-port="43" />
        <edge from-layer="20" from-port="44" to-layer="38" to-port="82" />
    </edges>
</Net>
)V0G0N";

}

std::string eltwiseWithMemoryAndActivationInputModel() {
    return R"V0G0N(
    <Net Name="activationAfterSplit" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

        <layer name="Memory_27" type="Memory" id="27" precision="FP32">
			<data id="r_27-28" index="0" size="2" />
			<input>
				<port id="60">
					<!--connected to Activation_38-->
                    <dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
		</layer>

		<layer name="Memory_28" type="Memory" id="28" precision="FP32">
			<data id="r_27-28" index="1" size="2" />
			<output>
				<port id="59">
					<!--connected to , Eltwise_8-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

            <layer name="FullyConnected" id="2" type="InnerProduct" precision="FP32">

                <fc out-size="10" />

                <biases offset="0" size="40" />
                <weights offset="40" size="400" />

                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

            <layer name="Activation_38" type="Activation" id="38" precision="FP32">
                <data type="tanh" />
                <input>
                    <port id="82">
                        <!--connected to Eltwise_37-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="83">
                        <!--connected to , Eltwise_41-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

            <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <!--connected to FC1-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="1">
                        <!--connected to FC2-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
        </layers>
        <edges>
            <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="38" to-port="82" />
            <edge from-layer="38" from-port="83" to-layer="11" to-port="0" />
            <edge from-layer="28" from-port="59" to-layer="11" to-port="1" />
            <edge from-layer="38" from-port="83" to-layer="27" to-port="60" />
        </edges>
    </Net>
    )V0G0N";

}
std::string AffineWith2AffineOutputsModel() {
    return R"V0G0N(
    <Net Name="eltwiseMul" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected" id="2" type="InnerProduct" precision="FP32">

                <fc out-size="10" />

                <biases offset="0" size="40" />
                <weights offset="40" size="400" />

                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>

        <layer name="FullyConnected_1" id="3" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>

        <layer name="FullyConnected_5" id="4" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="0" size="40" />
            <weights offset="40" size="400" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="Eltwise_8" type="Eltwise" id="11" precision="FP32">
			<data operation="sum" />
			<input>
				<port id="0">
					<!--connected to FullyConnected-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="1">
					<!--connected to Memory_28-->
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>

        </layers>
        <edges>
            <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="3" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="4" to-port="0" />
            <edge from-layer="4" from-port="1" to-layer="11" to-port="0" />
            <edge from-layer="3" from-port="1" to-layer="11" to-port="1" />
        </edges>
    </Net>
    )V0G0N";

}

std::string SigmoidActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithSigmoidActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="Sig_Activation" id="2" type="Activation" precision="FP32">
            <data type="sigmoid" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string TanhActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithTanhActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="Tanh_Activation" id="2" type="Activation" precision="FP32">
            <data type="tanh" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string ReLUActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithReLUActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="ReLU_Activation" type="Activation" id="2" precision="FP32">
            <data type="ReLU" negative_slope="0.000000" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="4">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string LeakyReLUActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithLeakyReLUActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="LeakyReLU_Activation" type="Activation" id="2" precision="FP32">
            <data type="ReLU" negative_slope="0.010000" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="4">
                    <dim>1</dim>
                    <dim>1</dim>
                    <dim>10</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string ClampActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithClippingActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="Clamp_Activation" id="2" type="Activation" precision="FP32">
            <data type="clamp" min="-5" max="5" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string IdentityActivationModel() {
    return R"V0G0N(
<Net Name="InputLayerWithIdentityActivation" version="2" precision="FP32" batch="1">
    <layers>
        <layer name="input_1" type="input" id="0" precision="FP32">
            <output>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
        <layer name="Identity_Activation" id="2" type="Activation" precision="FP32">
            <data type="identity" />
            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </layer>
    </layers>
    <edges>
        <edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
    </edges>
</Net>
)V0G0N";
}

std::string concatModel()  {
    return R"V0G0N(
    <Net Name="concatinationModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Split1" type="Split" id="1" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to eltwise-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
           <layer name="ReLU1" id="11" type="Activation" precision="FP32">
                <data type="ReLU" negative_slope="0.000000" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="12" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="concat1" id="21"  precision="FP32" type="Concat">
                    <data axis="1"/>
                    <input>
                            <port id="0">
                                    <dim>1</dim>
                                    <dim>10</dim>
                            </port>
                            <port id="1">
                                    <dim>1</dim>
                                    <dim>10</dim>
                            </port>
                    </input>
                    <output>
                            <port id="2">
                                    <dim>1</dim>
                                    <dim>20</dim>
                            </port>
                    </output>
            </layer>
            <layer name="FullyConnected2" id="31" type="InnerProduct" precision="FP32">
                <fc out-size="20" />
                <biases offset="0" size="80" />
                <weights offset="80" size="1600" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </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="11" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="12" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="21" to-port="0" />
            <edge from-layer="12" from-port="1" to-layer="21" to-port="1" />
            <edge from-layer="21" from-port="2" to-layer="31" to-port="0" />
        </edges>
    </Net>
    )V0G0N";
}
std::string TFLeakyReluModel() {
    return R"V0G0N(
    <?xml version="1.0" ?>
    <net batch="1" name="model" version="2">
        <layers>
            <layer id="0" name="Placeholder" precision="FP32" type="Input">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>126</dim>
                    </port>
                </output>
            </layer>
            <layer id="1" name="conv1_node/Conv2D" precision="FP32" type="Convolution">
                <data dilation-x="1" dilation-y="1" group="1" kernel-x="5" kernel-y="1" output="128" pad-x="0" pad-y="0" stride="1,1,1,1" stride-x="1" stride-y="1"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>126</dim>
                    </port>
                </input>
                <output>
                    <port id="3">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
                <blobs>
                    <weights offset="0" size="327680"/>
                    <biases offset="327680" size="512"/>
                </blobs>
            </layer>
            <layer id="2" name="conv1_node/Relu" precision="FP32" type="ReLU">
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
            <layer id="3" name="conv1_node/Neg" precision="FP32" type="Power">
                <data power="1" scale="-1" shift="0"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
            <layer id="4" name="conv1_node/Relu_1" precision="FP32" type="ReLU">
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
            <layer id="5" name="conv1_node/mul" precision="FP32" type="Power">
                <data power="1" scale="0.20000000298023224" shift="0"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
            <layer id="47" name="conv1_node/sub/negate_86" precision="FP32" type="Power">
                <data power="1" scale="-1" shift="0"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
            <layer id="48" name="conv1_node/sub/add_87" precision="FP32" type="Eltwise">
                <data operation="sum"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>128</dim>
                        <dim>1</dim>
                        <dim>122</dim>
                    </port>
                </output>
            </layer>
        </layers>
        <edges>
		<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
		<edge from-layer="1" from-port="3" to-layer="2" to-port="0"/>
		<edge from-layer="1" from-port="3" to-layer="3" to-port="0"/>
		<edge from-layer="3" from-port="1" to-layer="4" to-port="0"/>
		<edge from-layer="4" from-port="1" to-layer="5" to-port="0"/>
		<edge from-layer="5" from-port="1" to-layer="47" to-port="0"/>
		<edge from-layer="2" from-port="1" to-layer="48" to-port="0"/>
		<edge from-layer="47" from-port="1" to-layer="48" to-port="1"/>
        </edges>
    </net>
    )V0G0N";
}

std::string maxpoolAfterRelu() {
    return R"V0G0N(
<?xml version="1.0" ?>
<net batch="1" name="model" version="2">
	<layers>
		<layer id="0" name="Placeholder" precision="FP32" type="Input">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="conv1_node/Conv2D" precision="FP32" type="Convolution">
			<data dilation-x="1" dilation-y="1" group="1" kernel-x="5" kernel-y="1" output="128" pad-x="0" pad-y="0" stride="1,1,1,1" stride-x="1" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</input>
			<output>
				<port id="3">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
			<blobs>
				<weights offset="0" size="327680"/>
				<biases offset="327680" size="512"/>
			</blobs>
		</layer>
		<layer id="2" name="conv1_node/Relu" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="conv1_node/Neg" precision="FP32" type="Power">
			<data power="1" scale="-1" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="conv1_node/Relu_1" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="conv1_node/mul" precision="FP32" type="Power">
			<data power="1" scale="0.20000000298023224" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="conv1_node/sub/negate_86" precision="FP32" type="Power">
			<data power="1" scale="-1" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="conv1_node/sub/add_87" precision="FP32" type="Eltwise">
			<data operation="sum"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="conv2_node/Conv2D" precision="FP32" type="Convolution">
			<data dilation-x="1" dilation-y="1" group="1" kernel-x="5" kernel-y="1" output="128" pad-x="0" pad-y="0" stride="1,1,1,1" stride-x="1" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="3">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
			<blobs>
				<weights offset="328192" size="327680"/>
				<biases offset="655872" size="512"/>
			</blobs>
		</layer>
		<layer id="7" name="conv2_node/Relu" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="conv2_node/Neg" precision="FP32" type="Power">
			<data power="1" scale="-1" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="conv2_node/Relu_1" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="conv2_node/mul" precision="FP32" type="Power">
			<data power="1" scale="0.20000000298023224" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="conv2_node/sub/negate_92" precision="FP32" type="Power">
			<data power="1" scale="-1" shift="0"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="conv2_node/sub/add_93" precision="FP32" type="Eltwise">
			<data operation="sum"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="pool1_node/MaxPool" precision="FP32" type="Pooling">
			<data exclude-pad="true" kernel-x="2" kernel-y="1" pad-x="0" pad-y="0" pool-method="max" stride="1,1,1,2" stride-x="2" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>118</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>59</dim>
				</port>
			</output>
		</layer>
        </layers>
        <edges>
		<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
		<edge from-layer="1" from-port="3" to-layer="2" to-port="0"/>
		<edge from-layer="1" from-port="3" to-layer="3" to-port="0"/>
		<edge from-layer="3" from-port="1" to-layer="4" to-port="0"/>
		<edge from-layer="4" from-port="1" to-layer="5" to-port="0"/>
		<edge from-layer="5" from-port="1" to-layer="47" to-port="0"/>
		<edge from-layer="2" from-port="1" to-layer="48" to-port="0"/>
		<edge from-layer="47" from-port="1" to-layer="48" to-port="1"/>
		<edge from-layer="48" from-port="2" to-layer="6" to-port="0"/>
		<edge from-layer="6" from-port="3" to-layer="7" to-port="0"/>
		<edge from-layer="6" from-port="3" to-layer="8" to-port="0"/>
		<edge from-layer="8" from-port="1" to-layer="9" to-port="0"/>
		<edge from-layer="9" from-port="1" to-layer="10" to-port="0"/>
		<edge from-layer="10" from-port="1" to-layer="53" to-port="0"/>
		<edge from-layer="7" from-port="1" to-layer="54" to-port="0"/>
		<edge from-layer="53" from-port="1" to-layer="54" to-port="1"/>
		<edge from-layer="54" from-port="2" to-layer="11" to-port="0"/>
        </edges>
    </net>

    )V0G0N";
}

std::string doubleConcatModel() {
    return R"V0G0N(
    <Net Name="concatinationModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>40</dim>
                    </port>
                </output>
            </layer>
            <layer name="Split1" type="Split" id="1" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to input-->
                        <dim>1</dim>
                        <dim>40</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to relu-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                    <port id="2">
                        <!--connected to split-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
           <layer name="ReLU1" id="11" type="Activation" precision="FP32">
                <data type="ReLU" negative_slope="0.000000" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Split2" type="Split" id="12" precision="FP32">
                <data axis="1" />
                <input>
                    <port id="0">
                        <!--connected to split-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <!--connected to relu-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                    <port id="2">
                        <!--connected to fc-->
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
           <layer name="ReLU2" id="21" type="Activation" precision="FP32">
                <data type="ReLU" negative_slope="0.000000" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="22" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="concat1" id="31"  precision="FP32" type="Concat">
                    <data axis="1"/>
                    <input>
                            <port id="0">
                                    <dim>1</dim>
                                    <dim>10</dim>
                            </port>
                            <port id="1">
                                    <dim>1</dim>
                                    <dim>10</dim>
                            </port>
                    </input>
                    <output>
                            <port id="2">
                                    <dim>1</dim>
                                    <dim>20</dim>
                            </port>
                    </output>
            </layer>
             <layer name="concat2" id="41"  precision="FP32" type="Concat">
                    <data axis="1"/>
                    <input>
                            <port id="0">
                                    <dim>1</dim>
                                    <dim>20</dim>
                            </port>
                            <port id="1">
                                    <dim>1</dim>
                                    <dim>20</dim>
                            </port>
                    </input>
                    <output>
                            <port id="2">
                                    <dim>1</dim>
                                    <dim>40</dim>
                            </port>
                    </output>
            </layer>
            <layer name="FullyConnected2" id="51" type="InnerProduct" precision="FP32">
                <fc out-size="40" />
                <biases offset="400" size="160" />
                <weights offset="560" size="6960" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>40</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>40</dim>
                    </port>
                </output>
            </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="11" to-port="0" />
            <edge from-layer="1" from-port="2" to-layer="12" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="41" to-port="0" />
            <edge from-layer="12" from-port="1" to-layer="21" to-port="0" />
            <edge from-layer="12" from-port="2" to-layer="22" to-port="0" />
            <edge from-layer="21" from-port="1" to-layer="31" to-port="0" />
            <edge from-layer="22" from-port="1" to-layer="31" to-port="1" />
            <edge from-layer="31" from-port="2" to-layer="41" to-port="1" />
            <edge from-layer="41" from-port="2" to-layer="51" to-port="0" />
        </edges>
    </Net>
    )V0G0N";
}


std::string cropWithoutOffsetModel() {
    return R"V0G0N(
    <Net Name="cropWithoutOffsetModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Crop1" type="Crop" id="1" precision="FP32">
                <data axis="1" dim="10" offset="0"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="2" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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::string cropWithAlignedOffsetModel() {
    return R"V0G0N(
    <Net Name="cropWithAlignedOffsetModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Crop1" type="Crop" id="1" precision="FP32">
                <data axis="1" dim="10" offset="8"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="2" type="InnerProduct" precision="FP32">
                <fc out-size="12" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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::string cropWithOffsetModel() {
    return R"V0G0N(
    <Net Name="cropWithOffsetModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Crop1" type="Crop" id="1" precision="FP32">
                <data axis="1" dim="10" offset="5"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="2" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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::string cropWithMaxOffsetModel() {
    return R"V0G0N(
    <Net Name="cropWithOffsetModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Crop1" type="Crop" id="1" precision="FP32">
                <data axis="1" dim="10" offset="10"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="2" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="0" size="40" />
                <weights offset="40" size="400" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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::string cropWithOffsetExtendedModel() {
    return R"V0G0N(
    <Net Name="cropWithOffsetExtendedModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="1" type="InnerProduct" precision="FP32">
                <fc out-size="20" />
                <biases offset="0" size="80" />
                <weights offset="80" size="1920" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Crop1" type="Crop" id="11" precision="FP32">
                <data axis="1" dim="10" offset="5"/>
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected2" id="12" type="InnerProduct" precision="FP32">
                <fc out-size="10" />
                <biases offset="1920" size="40" />
                <weights offset="1960" size="640" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>10</dim>
                    </port>
                </output>
            </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="11" to-port="0" />
            <edge from-layer="11" from-port="1" to-layer="12" to-port="0" />
        </edges>
    </Net>
    )V0G0N";
}

std::string copyModel() {
    return R"V0G0N(
    <Net Name="cropWithOffsetExtendedModel" version="2" precision="FP32" batch="1">
        <layers>
            <layer name="input_1" type="input" id="0" precision="FP32">
                <output>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="FullyConnected1" id="1" type="InnerProduct" precision="FP32">
                <fc out-size="20" />
                <biases offset="0" size="80" />
                <weights offset="80" size="1920" />
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Copy1" id="2" type="Copy" precision="FP32">
                <input>
                    <port id="0">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </layer>
            <layer name="Eltwise_1" type="Eltwise" id="11" precision="FP32">
                <data operation="sum" />
                <input>
                    <port id="0">
                        <!--connected to FullyConnected-->
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                    <port id="1">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </input>
                <output>
                    <port id="2">
                        <dim>1</dim>
                        <dim>20</dim>
                    </port>
                </output>
            </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="2" to-port="0" />
            <edge from-layer="1" from-port="1" to-layer="11" to-port="0" />
            <edge from-layer="2" from-port="1" to-layer="11" to-port="1" />
        </edges>
    </Net>
    )V0G0N";
}

std::string two_inputs_to_concat() {
    return R"V0G0N(
<?xml version="1.0" ?>
<net batch="1" name="N" version="2">
	<layers>
		<layer id="0" name="input_1" precision="FP32" type="input">
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="input_2" precision="FP32" type="input">
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="concat" precision="FP32" type="Concat">
			<data out-size="600"/>
			<input>
				<port id="3">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</input>
			<input>
				<port id="4">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</input>
			<output>
				<port id="5">
					<dim>1</dim>
					<dim>1200</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="tanh_6" precision="FP32" type="Activation">
			<data type="tanh"/>
			<input>
				<port id="10">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</input>
			<output>
				<port id="11">
					<dim>1</dim>
					<dim>600</dim>
				</port>
			</output>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="1" to-layer="2" to-port="3"/>
		<edge from-layer="1" from-port="2" to-layer="2" to-port="4"/>
		<edge from-layer="2" from-port="5" to-layer="5" to-port="10"/>
	</edges>
</net>
    )V0G0N";

}

std::string two_inputs_to_affine() {
    return R"V0G0N(
<?xml version="1.0" ?>
<net batch="1" name="" version="2">
	<layers>
		<layer id="0" name="input_1" precision="FP32" type="input">
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="input_2" precision="FP32" type="input">
			<output>
				<port id="2">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="affinetransform_3" precision="FP32" type="FullyConnected">
			<data out-size="10"/>
			<input>
				<port id="3">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="4">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
			<blobs>
				<weights offset="0" size="400"/>
			</blobs>
		</layer>
		<layer id="3" name="affinetransform_4" precision="FP32" type="FullyConnected">
			<data out-size="600"/>
			<input>
				<port id="5">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="6">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
			<blobs>
				<weights offset="400" size="400"/>
			</blobs>
		</layer>
		<layer id="4" name="add_5" precision="FP32" type="Eltwise">
			<data operation="sum"/>
			<input>
				<port id="7">
					<dim>1</dim>
					<dim>10</dim>
				</port>
				<port id="8">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</input>
			<output>
				<port id="9">
					<dim>1</dim>
					<dim>10</dim>
				</port>
			</output>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="1" to-layer="2" to-port="3"/>
		<edge from-layer="1" from-port="2" to-layer="3" to-port="5"/>
		<edge from-layer="2" from-port="4" to-layer="4" to-port="7"/>
		<edge from-layer="3" from-port="6" to-layer="4" to-port="8"/>
	</edges>
</net>
    )V0G0N";

}


std::string affineAfterConvNoPermute() {
    return R"V0G0N(
<?xml version="1.0" ?>
<net batch="1" name="model" version="2">
	<layers>
		<layer id="0" name="Placeholder" precision="FP32" type="Input">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="conv1" precision="FP32" type="Convolution">
			<data dilation-x="1" dilation-y="1" group="1" kernel-x="5" kernel-y="1" output="128" pad-x="0" pad-y="0" stride="1,1,1,1" stride-x="1" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
			<blobs>
				<weights offset="0" size="327680"/>
				<biases offset="327680" size="512"/>
			</blobs>
		</layer>
		<layer id="2" name="conv1_node/Relu" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="pool1_node/MaxPool" precision="FP32" type="Pooling">
			<data exclude-pad="true" kernel-x="2" kernel-y="1" pad-x="0" pad-y="0" pool-method="max" stride="1,1,1,2" stride-x="2" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>61</dim>
				</port>
			</output>
		</layer>

        <layer id="4" name="Reshape_3" precision="FP32" type="Reshape">
            <data axis="0" dim="1,7808" num_axes="-1"/>
            <input>
            <port id="0">
                <dim>1</dim>
                <dim>128</dim>
                <dim>1</dim>
                <dim>61</dim>
            </port>
            </input>
            <output>
            <port id="1">
                <dim>1</dim>
                <dim>7808</dim>
            </port>
            </output>
        </layer>

        <layer name="FullyConnected" id="5" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="328192" size="40" />
            <weights offset="328232" size="312320" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>7808</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </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"/>
		<edge from-layer="2" from-port="1" to-layer="3" to-port="0"/>
        <edge from-layer="3" from-port="1" to-layer="4" to-port="0"/>
        <edge from-layer="4" from-port="1" to-layer="5" to-port="0"/>
        </edges>
    </net>

    )V0G0N";
}

std::string affineAfterConvWithPermute() {
    return R"V0G0N(
<?xml version="1.0" ?>
<net batch="1" name="model" version="2">
	<layers>
		<layer id="0" name="Placeholder" precision="FP32" type="Input">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="conv1" precision="FP32" type="Convolution">
			<data dilation-x="1" dilation-y="1" group="1" kernel-x="5" kernel-y="1" output="128" pad-x="0" pad-y="0" stride="1,1,1,1" stride-x="1" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>126</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
			<blobs>
				<weights offset="0" size="327680"/>
				<biases offset="327680" size="512"/>
			</blobs>
		</layer>
		<layer id="2" name="conv1_node/Relu" precision="FP32" type="ReLU">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="pool1_node/MaxPool" precision="FP32" type="Pooling">
			<data exclude-pad="true" kernel-x="2" kernel-y="1" pad-x="0" pad-y="0" pool-method="max" stride="1,1,1,2" stride-x="2" stride-y="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>122</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>61</dim>
				</port>
			</output>
		</layer>

		<layer id="4" name="maxpoolingcomponent32/Permute" precision="FP32" type="Permute">
			<data order="0,3,2,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>61</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>61</dim>
					<dim>1</dim>
					<dim>128</dim>
				</port>
			</output>
		</layer>

        <layer id="5" name="Reshape_3" precision="FP32" type="Reshape">
            <data axis="0" dim="1,7808" num_axes="-1"/>
            <input>
            <port id="0">
                <dim>1</dim>
                <dim>61</dim>
                <dim>1</dim>
                <dim>128</dim>
            </port>
            </input>
            <output>
            <port id="1">
                <dim>1</dim>
                <dim>7808</dim>
            </port>
            </output>
        </layer>

        <layer name="FullyConnected" id="6" type="InnerProduct" precision="FP32">

            <fc out-size="10" />

            <biases offset="328192" size="40" />
            <weights offset="328232" size="312320" />

            <input>
                <port id="0">
                    <dim>1</dim>
                    <dim>7808</dim>
                </port>
            </input>
            <output>
                <port id="1">
                    <dim>1</dim>
                    <dim>10</dim>
                </port>
            </output>
        </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"/>
		<edge from-layer="2" from-port="1" to-layer="3" to-port="0"/>
        <edge from-layer="3" from-port="1" to-layer="4" to-port="0"/>
        <edge from-layer="4" from-port="1" to-layer="5" to-port="0"/>
        <edge from-layer="5" from-port="1" to-layer="6" to-port="0"/>
        </edges>
    </net>

    )V0G0N";
}



std::string ScaleShift3DModel() {
    return R"V0G0N(
   <?xml version="1.0" ?>
<net batch="1" name="frozen_model" version="4">
	<layers>
		<layer id="0" name="reshape_1_input" precision="FP32" type="Input">
			<output>
				<port id="0">
					<dim>1</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="conv1d_1/convolution/Squeeze" precision="FP32" type="Reshape">
			<data dim="1,5,8"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>5</dim>
					<dim>8</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="conv1d_1/add" precision="FP32" type="ScaleShift">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>5</dim>
					<dim>8</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>5</dim>
					<dim>8</dim>
				</port>
			</output>
			<blobs>
				<weights offset="0" size="32"/>
				<biases offset="32" size="32"/>
			</blobs>
		</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";
}

}  // namespace GNATestIRs
