GitBucket
Newer
<?xml version="1.0" ?>
<net name="yolov5_640x640_b2" version="10">
<layers>
<layer id="0" name="2606261011217" type="Const" version="opset1">
<data offset="0" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="2607261112060" type="Const" version="opset1">
<data offset="72" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="2" name="2608261210614" type="Const" version="opset1">
<data offset="0" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="3" name="2609261310875" type="Const" version="opset1">
<data offset="72" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="4" name="model.24.m.0.weight78710560" type="Const" version="opset1">
<data offset="144" size="9216" shape="18,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.24.m.0.weight">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="Conv_196/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="6" name="2826283012183" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="2827283111973" type="Const" version="opset1">
<data offset="9364" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="8" name="282828329936" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="9" name="2829283310404" type="Const" version="opset1">
<data offset="9364" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="10" name="2166217011286" type="Const" version="opset1">
<data offset="9368" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="11" name="2167217111811" type="Const" version="opset1">
<data offset="9880" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="12" name="2168217211844" type="Const" version="opset1">
<data offset="9368" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="13" name="2169217312177" type="Const" version="opset1">
<data offset="9880" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="14" name="model.17.cv3.conv.weight70210890" type="Const" version="opset1">
<data offset="10392" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.17.cv3.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="15" name="Conv_153/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="16" name="4091409511637" type="Const" version="opset1">
<data offset="75928" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="17" name="4092409610047" type="Const" version="opset1">
<data offset="75932" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="18" name="4093409710665" type="Const" version="opset1">
<data offset="75928" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="19" name="4094409810521" type="Const" version="opset1">
<data offset="75932" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="20" name="2927293110170" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="21" name="2928293210647" type="Const" version="opset1">
<data offset="75936" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="22" name="2929293312096" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="23" name="293029349933" type="Const" version="opset1">
<data offset="75936" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="24" name="2736274010989" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="25" name="2737274111934" type="Const" version="opset1">
<data offset="75936" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="26" name="2738274212054" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="27" name="2739274312084" type="Const" version="opset1">
<data offset="75936" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="28" name="1616162010896" type="Const" version="opset1">
<data offset="75940" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="29" name="1617162111544" type="Const" version="opset1">
<data offset="76196" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="30" name="1618162211598" type="Const" version="opset1">
<data offset="75940" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="31" name="1619162310263" type="Const" version="opset1">
<data offset="76196" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="32" name="model.17.cv1.conv.weight68110071" type="Const" version="opset1">
<data offset="76452" size="65536" shape="64,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.17.cv1.conv.weight">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="33" name="Conv_140/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="34" name="4061406510254" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="35" name="4062406611523" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="36" name="4063406711583" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="37" name="4064406810191" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="38" name="2296230011781" type="Const" version="opset1">
<data offset="141992" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="39" name="2297230111229" type="Const" version="opset1">
<data offset="142504" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="40" name="2298230211310" type="Const" version="opset1">
<data offset="141992" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="41" name="2299230311283" type="Const" version="opset1">
<data offset="142504" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="42" name="model.4.cv3.conv.weight50811358" type="Const" version="opset1">
<data offset="143016" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.cv3.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="43" name="Conv_47/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="44" name="4251425510932" type="Const" version="opset1">
<data offset="208552" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="45" name="4252425610029" type="Const" version="opset1">
<data offset="208556" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="46" name="4253425712276" type="Const" version="opset1">
<data offset="208552" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="47" name="4254425810605" type="Const" version="opset1">
<data offset="208556" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="48" name="1376138012231" type="Const" version="opset1">
<data offset="208560" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="49" name="1377138111196" type="Const" version="opset1">
<data offset="208564" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="50" name="1378138212099" type="Const" version="opset1">
<data offset="208560" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="51" name="1379138310482" type="Const" version="opset1">
<data offset="208564" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="52" name="1776178010455" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="53" name="1777178110599" type="Const" version="opset1">
<data offset="208568" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="54" name="1778178211784" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="55" name="1779178312021" type="Const" version="opset1">
<data offset="208568" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="56" name="2386239010275" type="Const" version="opset1">
<data offset="208572" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="57" name="2387239111820" type="Const" version="opset1">
<data offset="208576" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="58" name="2388239210833" type="Const" version="opset1">
<data offset="208572" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="59" name="2389239311355" type="Const" version="opset1">
<data offset="208576" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="60" name="1956196011928" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="61" name="1957196111688" type="Const" version="opset1">
<data offset="208580" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="62" name="1958196210431" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="63" name="1959196310869" type="Const" version="opset1">
<data offset="208580" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="64" name="2726273011121" type="Const" version="opset1">
<data offset="208584" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="65" name="2727273110164" type="Const" version="opset1">
<data offset="208840" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="66" name="2728273212063" type="Const" version="opset1">
<data offset="208584" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="67" name="2729273311643" type="Const" version="opset1">
<data offset="208840" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="68" name="model.2.cv3.conv.weight46510950" type="Const" version="opset1">
<data offset="209096" size="16384" shape="64,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.2.cv3.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="69" name="Conv_20/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="70" name="4231423512210" type="Const" version="opset1">
<data offset="225480" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="71" name="4232423610530" type="Const" version="opset1">
<data offset="225484" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="72" name="4233423710446" type="Const" version="opset1">
<data offset="225480" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="73" name="4234423810146" type="Const" version="opset1">
<data offset="225484" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="74" name="2516252011985" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="75" name="2517252111868" type="Const" version="opset1">
<data offset="225488" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="76" name="2518252211610" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="77" name="2519252311649" type="Const" version="opset1">
<data offset="225488" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="78" name="1496150010854" type="Const" version="opset1">
<data offset="225492" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="79" name="1497150112006" type="Const" version="opset1">
<data offset="225620" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="80" name="1498150211577" type="Const" version="opset1">
<data offset="225492" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="81" name="1499150311619" type="Const" version="opset1">
<data offset="225620" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="82" name="model.2.cv1.conv.weight44311184" type="Const" version="opset1">
<data offset="225748" size="8192" shape="32,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.2.cv1.conv.weight">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="83" name="Conv_6/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="84" name="1796180010365" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="85" name="1797180111679" type="Const" version="opset1">
<data offset="233940" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="86" name="1798180210584" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="87" name="1799180311754" type="Const" version="opset1">
<data offset="233940" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="88" name="1836184011016" type="Const" version="opset1">
<data offset="233944" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="89" name="1837184110656" type="Const" version="opset1">
<data offset="233948" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="90" name="1838184210281" type="Const" version="opset1">
<data offset="233944" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="91" name="1839184311193" type="Const" version="opset1">
<data offset="233948" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="92" name="2907291111826" type="Const" version="opset1">
<data offset="233952" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="93" name="2908291210533" type="Const" version="opset1">
<data offset="233956" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="94" name="2909291310926" type="Const" version="opset1">
<data offset="233952" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="95" name="2910291411673" type="Const" version="opset1">
<data offset="233956" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="96" name="images" type="Parameter" version="opset1">
<data shape="2,3,640,640" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="images">
<dim>2</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
</output>
</layer>
<layer id="97" name="Conv_0/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
</output>
</layer>
<layer id="98" name="2917292111463" type="Const" version="opset1">
<data offset="233960" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="99" name="2918292210374" type="Const" version="opset1">
<data offset="234088" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="100" name="2919292310707" type="Const" version="opset1">
<data offset="234216" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="101" name="2920292411208" type="Const" version="opset1">
<data offset="234344" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="102" name="model.0.conv.weight43310737" type="Const" version="opset1">
<data offset="234472" size="13824" shape="32,3,6,6" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.0.conv.weight">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="103" name="Conv_0/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="104" name="Conv_0/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="2,2" pads_end="2,2"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="105" name="Conv_0/Dims357043512030" type="Const" version="opset1">
<data offset="248296" size="128" shape="1,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="106" name="Conv_0" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="122">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="107" name="Mul_2" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="124">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="108" name="Conv_3/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="109" name="1846185010959" type="Const" version="opset1">
<data offset="248424" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="110" name="1847185110428" type="Const" version="opset1">
<data offset="248680" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="111" name="1848185210590" type="Const" version="opset1">
<data offset="248424" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="112" name="1849185310689" type="Const" version="opset1">
<data offset="248680" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="113" name="model.1.conv.weight43810194" type="Const" version="opset1">
<data offset="248936" size="73728" shape="64,32,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.1.conv.weight">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="114" name="Conv_3/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="115" name="Conv_3/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="116" name="Conv_3/Dims362444010125" type="Const" version="opset1">
<data offset="322664" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="117" name="Conv_3" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="125">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="118" name="Mul_5" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="127">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="119" name="Conv_16/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="120" name="Conv_6/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="121" name="Conv_6/Dims358844511721" type="Const" version="opset1">
<data offset="322920" size="128" shape="1,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="122" name="Conv_6" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="128">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="123" name="Mul_8" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="130">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="124" name="Add_15/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="125" name="2526253012081" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="126" name="2527253110794" type="Const" version="opset1">
<data offset="323048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="127" name="2528253210416" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="128" name="2529253310368" type="Const" version="opset1">
<data offset="323048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="129" name="2236224011415" type="Const" version="opset1">
<data offset="323052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="130" name="2237224112198" type="Const" version="opset1">
<data offset="323056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="131" name="2238224210110" type="Const" version="opset1">
<data offset="323052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="132" name="2239224310137" type="Const" version="opset1">
<data offset="323056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="133" name="2506251011028" type="Const" version="opset1">
<data offset="323060" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="134" name="2507251112150" type="Const" version="opset1">
<data offset="323188" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="135" name="2508251210389" type="Const" version="opset1">
<data offset="323060" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="136" name="2509251310020" type="Const" version="opset1">
<data offset="323188" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="137" name="model.2.m.0.cv1.conv.weight44810098" type="Const" version="opset1">
<data offset="323316" size="4096" shape="32,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.2.m.0.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="138" name="Conv_9/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="139" name="Conv_9/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="140" name="Conv_9/Dims382245010152" type="Const" version="opset1">
<data offset="327412" size="128" shape="1,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="141" name="Conv_9" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="131">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="142" name="Mul_11" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="133">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="143" name="Conv_12/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="144" name="2246225011103" type="Const" version="opset1">
<data offset="327540" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="145" name="2247225111874" type="Const" version="opset1">
<data offset="327668" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="146" name="224822529969" type="Const" version="opset1">
<data offset="327540" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="147" name="2249225311889" type="Const" version="opset1">
<data offset="327668" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="148" name="model.2.m.0.cv2.conv.weight45311964" type="Const" version="opset1">
<data offset="327796" size="36864" shape="32,32,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.2.m.0.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="149" name="Conv_12/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="150" name="Conv_12/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="151" name="Conv_12/Dims356445511862" type="Const" version="opset1">
<data offset="364660" size="128" shape="1,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="152" name="Conv_12" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="134">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="153" name="Mul_14" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="136">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="154" name="Add_15/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="155" name="Add_15" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="137">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="156" name="Concat_19/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="157" name="4241424512135" type="Const" version="opset1">
<data offset="364788" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="158" name="424242469957" type="Const" version="opset1">
<data offset="364792" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="159" name="4243424710038" type="Const" version="opset1">
<data offset="364788" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="160" name="4244424810206" type="Const" version="opset1">
<data offset="364792" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="161" name="1806181010221" type="Const" version="opset1">
<data offset="364796" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="162" name="1807181111634" type="Const" version="opset1">
<data offset="364924" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="163" name="1808181210725" type="Const" version="opset1">
<data offset="364796" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="164" name="1809181310362" type="Const" version="opset1">
<data offset="364924" size="128" shape="32,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="165" name="model.2.cv2.conv.weight45910500" type="Const" version="opset1">
<data offset="365052" size="8192" shape="32,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.2.cv2.conv.weight">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="166" name="Conv_16/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="167" name="Conv_16/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="168" name="Conv_16/Dims378046110449" type="Const" version="opset1">
<data offset="373244" size="128" shape="1,32,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="169" name="Conv_16" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="138">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="170" name="Mul_18" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="140">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="171" name="Concat_19/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="172" name="Concat_19" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="141">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="173" name="Conv_20/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="174" name="Conv_20/Dims373246711433" type="Const" version="opset1">
<data offset="373372" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="175" name="Conv_20" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="142">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="176" name="Mul_22" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="144">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="177" name="Conv_23/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="178" name="1966197010041" type="Const" version="opset1">
<data offset="373628" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="179" name="1967197110179" type="Const" version="opset1">
<data offset="374140" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="180" name="1968197211766" type="Const" version="opset1">
<data offset="373628" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="181" name="1969197310083" type="Const" version="opset1">
<data offset="374140" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="182" name="model.3.conv.weight47010023" type="Const" version="opset1">
<data offset="374652" size="294912" shape="128,64,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.3.conv.weight">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="183" name="Conv_23/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="184" name="Conv_23/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="185" name="Conv_23/Dims379847211769" type="Const" version="opset1">
<data offset="669564" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="186" name="Conv_23" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="145">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="187" name="Mul_25" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="147">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="188" name="Conv_26/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="189" name="2396240010089" type="Const" version="opset1">
<data offset="670076" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="190" name="2397240112120" type="Const" version="opset1">
<data offset="670332" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="191" name="2398240210545" type="Const" version="opset1">
<data offset="670076" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="192" name="2399240311058" type="Const" version="opset1">
<data offset="670332" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="193" name="model.4.cv1.conv.weight47510710" type="Const" version="opset1">
<data offset="670588" size="32768" shape="64,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.cv1.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="194" name="Conv_26/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="195" name="Conv_26/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="196" name="Conv_26/Dims351647711025" type="Const" version="opset1">
<data offset="703356" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="197" name="Conv_26" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="148">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="198" name="Mul_28" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="150">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="199" name="Add_35/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="200" name="1786179011406" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="201" name="1787179111736" type="Const" version="opset1">
<data offset="703612" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="202" name="1788179211976" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="203" name="1789179311799" type="Const" version="opset1">
<data offset="703612" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="204" name="1906191010488" type="Const" version="opset1">
<data offset="703616" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="205" name="1907191110176" type="Const" version="opset1">
<data offset="703620" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="206" name="1908191210845" type="Const" version="opset1">
<data offset="703616" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="207" name="1909191312033" type="Const" version="opset1">
<data offset="703620" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="208" name="2816282011667" type="Const" version="opset1">
<data offset="703624" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="209" name="2817282111607" type="Const" version="opset1">
<data offset="703880" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="210" name="2818282211376" type="Const" version="opset1">
<data offset="703624" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="211" name="2819282311958" type="Const" version="opset1">
<data offset="703880" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="212" name="model.4.m.0.cv1.conv.weight48011994" type="Const" version="opset1">
<data offset="704136" size="16384" shape="64,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="213" name="Conv_29/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="214" name="Conv_29/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="215" name="Conv_29/Dims361248211331" type="Const" version="opset1">
<data offset="720520" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="216" name="Conv_29" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="151">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="217" name="Mul_31" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="153">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="218" name="Conv_32/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="219" name="1916192012264" type="Const" version="opset1">
<data offset="720776" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="220" name="1917192111475" type="Const" version="opset1">
<data offset="721032" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="221" name="1918192210434" type="Const" version="opset1">
<data offset="720776" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="222" name="1919192311703" type="Const" version="opset1">
<data offset="721032" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="223" name="model.4.m.0.cv2.conv.weight48512282" type="Const" version="opset1">
<data offset="721288" size="147456" shape="64,64,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="224" name="Conv_32/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="225" name="Conv_32/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="226" name="Conv_32/Dims368448710293" type="Const" version="opset1">
<data offset="868744" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="227" name="Conv_32" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="154">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="228" name="Mul_34" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="156">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="229" name="Add_35/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="230" name="Add_35" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="157">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="231" name="Add_42/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="232" name="1386139010893" type="Const" version="opset1">
<data offset="869000" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="233" name="1387139110473" type="Const" version="opset1">
<data offset="869004" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="234" name="1388139210740" type="Const" version="opset1">
<data offset="869000" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="235" name="1389139310092" type="Const" version="opset1">
<data offset="869004" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="236" name="1976198011319" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="237" name="1977198111787" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="238" name="1978198210257" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="239" name="1979198312123" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="240" name="2006201010491" type="Const" version="opset1">
<data offset="869008" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="241" name="2007201110536" type="Const" version="opset1">
<data offset="869264" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="242" name="2008201211793" type="Const" version="opset1">
<data offset="869008" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="243" name="2009201311223" type="Const" version="opset1">
<data offset="869264" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="244" name="model.4.m.1.cv1.conv.weight49110443" type="Const" version="opset1">
<data offset="869520" size="16384" shape="64,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.m.1.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="245" name="Conv_36/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="246" name="Conv_36/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="247" name="Conv_36/Dims370849311202" type="Const" version="opset1">
<data offset="885904" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="248" name="Conv_36" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="158">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="249" name="Mul_38" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="160">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="250" name="Conv_39/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="251" name="1986199011997" type="Const" version="opset1">
<data offset="886160" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="252" name="1987199110167" type="Const" version="opset1">
<data offset="886416" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="253" name="1988199211361" type="Const" version="opset1">
<data offset="886160" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="254" name="1989199310722" type="Const" version="opset1">
<data offset="886416" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="255" name="model.4.m.1.cv2.conv.weight49611829" type="Const" version="opset1">
<data offset="886672" size="147456" shape="64,64,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.m.1.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="256" name="Conv_39/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="257" name="Conv_39/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="258" name="Conv_39/Dims385249812291" type="Const" version="opset1">
<data offset="1034128" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="259" name="Conv_39" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="161">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="260" name="Mul_41" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="163">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="261" name="Add_42/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="262" name="Add_42" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="164">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="263" name="Concat_46/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="264" name="4261426512048" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="265" name="4262426612255" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="266" name="4263426711706" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="267" name="4264426810470" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="268" name="1896190011550" type="Const" version="opset1">
<data offset="1034384" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="269" name="1897190110074" type="Const" version="opset1">
<data offset="1034640" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="270" name="1898190210671" type="Const" version="opset1">
<data offset="1034384" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="271" name="1899190310326" type="Const" version="opset1">
<data offset="1034640" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="272" name="model.4.cv2.conv.weight50210290" type="Const" version="opset1">
<data offset="1034896" size="32768" shape="64,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.4.cv2.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="273" name="Conv_43/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="274" name="Conv_43/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="275" name="Conv_43/Dims372050412045" type="Const" version="opset1">
<data offset="1067664" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="276" name="Conv_43" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="165">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="277" name="Mul_45" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="167">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="278" name="Concat_46/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="279" name="Concat_46" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="168">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="280" name="Conv_47/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="281" name="Conv_47/Dims352251010317" type="Const" version="opset1">
<data offset="1067920" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="282" name="Conv_47" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="169">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="283" name="Mul_49" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="171">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="284" name="Concat_139/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="285" name="4051405511385" type="Const" version="opset1">
<data offset="1068432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="286" name="4052405610977" type="Const" version="opset1">
<data offset="1068436" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="287" name="4053405712144" type="Const" version="opset1">
<data offset="1068432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="288" name="4054405811850" type="Const" version="opset1">
<data offset="1068436" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="289" name="Resize_138/StridedSlice_scales29031378567712108" type="Const" version="opset1">
<data offset="1068440" size="8" shape="2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="290" name="Resize_138/axis28871387267812018" type="Const" version="opset1">
<data offset="1068448" size="16" shape="2" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="291" name="4121412510065" type="Const" version="opset1">
<data offset="1068432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="292" name="4122412610182" type="Const" version="opset1">
<data offset="1068436" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="293" name="4123412712168" type="Const" version="opset1">
<data offset="1068432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="294" name="4124412810944" type="Const" version="opset1">
<data offset="1068436" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="295" name="2416242010287" type="Const" version="opset1">
<data offset="1068464" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="296" name="2417242111211" type="Const" version="opset1">
<data offset="1068468" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="297" name="2418242210350" type="Const" version="opset1">
<data offset="1068464" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="298" name="2419242310506" type="Const" version="opset1">
<data offset="1068468" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="299" name="2106211010788" type="Const" version="opset1">
<data offset="1068472" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="300" name="2107211112024" type="Const" version="opset1">
<data offset="1069496" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="301" name="2108211212090" type="Const" version="opset1">
<data offset="1068472" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="302" name="2109211311601" type="Const" version="opset1">
<data offset="1069496" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="303" name="model.13.cv3.conv.weight65511418" type="Const" version="opset1">
<data offset="1070520" size="262144" shape="256,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.13.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="304" name="Conv_132/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="305" name="4031403512219" type="Const" version="opset1">
<data offset="1332664" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="306" name="4032403611061" type="Const" version="opset1">
<data offset="1332668" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="307" name="4033403710407" type="Const" version="opset1">
<data offset="1332664" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="308" name="4034403811388" type="Const" version="opset1">
<data offset="1332668" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="309" name="1546155011307" type="Const" version="opset1">
<data offset="1332672" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="310" name="1547155111949" type="Const" version="opset1">
<data offset="1332676" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="311" name="1548155211205" type="Const" version="opset1">
<data offset="1332672" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="312" name="1549155311910" type="Const" version="opset1">
<data offset="1332676" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="313" name="145614609948" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="314" name="1457146112105" type="Const" version="opset1">
<data offset="1332680" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="315" name="1458146211001" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="316" name="1459146310104" type="Const" version="opset1">
<data offset="1332680" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="317" name="1736174012261" type="Const" version="opset1">
<data offset="1332684" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="318" name="173717419999" type="Const" version="opset1">
<data offset="1333196" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="319" name="1738174211454" type="Const" version="opset1">
<data offset="1332684" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="320" name="1739174312243" type="Const" version="opset1">
<data offset="1333196" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="321" name="model.13.cv1.conv.weight63411502" type="Const" version="opset1">
<data offset="1333708" size="262144" shape="128,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.13.cv1.conv.weight">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="322" name="Conv_119/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="323" name="4001400510383" type="Const" version="opset1">
<data offset="1595852" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="324" name="4002400611691" type="Const" version="opset1">
<data offset="1595856" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="325" name="4003400711622" type="Const" version="opset1">
<data offset="1595852" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="326" name="4004400811424" type="Const" version="opset1">
<data offset="1595856" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="327" name="2466247012288" type="Const" version="opset1">
<data offset="1595860" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="328" name="2467247111640" type="Const" version="opset1">
<data offset="1596884" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="329" name="2468247211391" type="Const" version="opset1">
<data offset="1595860" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="330" name="2469247310515" type="Const" version="opset1">
<data offset="1596884" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="331" name="model.6.cv3.conv.weight56210980" type="Const" version="opset1">
<data offset="1597908" size="262144" shape="256,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="332" name="Conv_81/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="333" name="4271427510836" type="Const" version="opset1">
<data offset="1860052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="334" name="4272427612246" type="Const" version="opset1">
<data offset="1860056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="335" name="4273427711520" type="Const" version="opset1">
<data offset="1860052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="336" name="4274427810593" type="Const" version="opset1">
<data offset="1860056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="337" name="1396140011067" type="Const" version="opset1">
<data offset="1860060" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="338" name="1397140111775" type="Const" version="opset1">
<data offset="1860064" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="339" name="1398140210329" type="Const" version="opset1">
<data offset="1860060" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="340" name="1399140310587" type="Const" version="opset1">
<data offset="1860064" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="341" name="1816182011493" type="Const" version="opset1">
<data offset="1860068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="342" name="1817182111241" type="Const" version="opset1">
<data offset="1860072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="343" name="1818182210494" type="Const" version="opset1">
<data offset="1860068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="344" name="1819182312078" type="Const" version="opset1">
<data offset="1860072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="345" name="3007301111214" type="Const" version="opset1">
<data offset="1860076" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="346" name="3008301210215" type="Const" version="opset1">
<data offset="1860080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="347" name="3009301311907" type="Const" version="opset1">
<data offset="1860076" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="348" name="3010301410476" type="Const" version="opset1">
<data offset="1860080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="349" name="2696270011154" type="Const" version="opset1">
<data offset="1860084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="350" name="2697270111250" type="Const" version="opset1">
<data offset="1860088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="351" name="2698270211172" type="Const" version="opset1">
<data offset="1860084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="352" name="2699270311922" type="Const" version="opset1">
<data offset="1860088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="353" name="1696170010998" type="Const" version="opset1">
<data offset="1860092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="354" name="1697170110635" type="Const" version="opset1">
<data offset="1861116" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="355" name="1698170211979" type="Const" version="opset1">
<data offset="1860092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="356" name="1699170311298" type="Const" version="opset1">
<data offset="1861116" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="357" name="model.5.conv.weight51310668" type="Const" version="opset1">
<data offset="1862140" size="1179648" shape="256,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.5.conv.weight">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="358" name="Conv_50/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="359" name="Conv_50/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="360" name="Conv_50/Dims357651511133" type="Const" version="opset1">
<data offset="3041788" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="361" name="Conv_50" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="172">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="362" name="Mul_52" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="174">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="363" name="Conv_53/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="364" name="2706271011292" type="Const" version="opset1">
<data offset="3042812" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="365" name="2707271111508" type="Const" version="opset1">
<data offset="3043324" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="366" name="2708271210212" type="Const" version="opset1">
<data offset="3042812" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="367" name="2709271310752" type="Const" version="opset1">
<data offset="3043324" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="368" name="model.6.cv1.conv.weight51810731" type="Const" version="opset1">
<data offset="3043836" size="131072" shape="128,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="369" name="Conv_53/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="370" name="Conv_53/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="371" name="Conv_53/Dims360052011148" type="Const" version="opset1">
<data offset="3174908" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="372" name="Conv_53" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="175">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="373" name="Mul_55" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="177">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="374" name="Add_62/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="375" name="3017302112051" type="Const" version="opset1">
<data offset="3175420" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="376" name="3018302210053" type="Const" version="opset1">
<data offset="3175424" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="377" name="3019302311832" type="Const" version="opset1">
<data offset="3175420" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="378" name="3020302411142" type="Const" version="opset1">
<data offset="3175424" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="379" name="2346235011226" type="Const" version="opset1">
<data offset="3175428" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="380" name="2347235111343" type="Const" version="opset1">
<data offset="3175432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="381" name="2348235211064" type="Const" version="opset1">
<data offset="3175428" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="382" name="2349235310335" type="Const" version="opset1">
<data offset="3175432" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="383" name="2897290110392" type="Const" version="opset1">
<data offset="3175436" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="384" name="2898290211244" type="Const" version="opset1">
<data offset="3175948" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="385" name="2899290310314" type="Const" version="opset1">
<data offset="3175436" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="386" name="2900290411730" type="Const" version="opset1">
<data offset="3175948" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="387" name="model.6.m.0.cv1.conv.weight52311109" type="Const" version="opset1">
<data offset="3176460" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="388" name="Conv_56/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="389" name="Conv_56/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="390" name="Conv_56/Dims380452511046" type="Const" version="opset1">
<data offset="3241996" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="391" name="Conv_56" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="178">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="392" name="Mul_58" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="180">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="393" name="Conv_59/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="394" name="2356236010524" type="Const" version="opset1">
<data offset="3242508" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="395" name="2357236111496" type="Const" version="opset1">
<data offset="3243020" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="396" name="2358236210419" type="Const" version="opset1">
<data offset="3242508" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="397" name="2359236311439" type="Const" version="opset1">
<data offset="3243020" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="398" name="model.6.m.0.cv2.conv.weight52811529" type="Const" version="opset1">
<data offset="3243532" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="399" name="Conv_59/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="400" name="Conv_59/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="401" name="Conv_59/Dims351053010827" type="Const" version="opset1">
<data offset="3833356" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="402" name="Conv_59" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="181">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="403" name="Mul_61" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="183">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="404" name="Add_62/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="405" name="Add_62" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="184">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="406" name="Add_69/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="407" name="1826183010872" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="408" name="1827183111106" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="409" name="1828183210050" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="410" name="1829183311487" type="Const" version="opset1">
<data offset="141988" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="411" name="2576258010539" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="412" name="2577258110158" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="413" name="2578258210686" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="414" name="2579258310068" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="415" name="1536154010596" type="Const" version="opset1">
<data offset="3833872" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="416" name="153715419954" type="Const" version="opset1">
<data offset="3834384" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="417" name="1538154210131" type="Const" version="opset1">
<data offset="3833872" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="418" name="1539154311031" type="Const" version="opset1">
<data offset="3834384" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="419" name="model.6.m.1.cv1.conv.weight53411040" type="Const" version="opset1">
<data offset="3834896" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="420" name="Conv_63/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="421" name="Conv_63/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="422" name="Conv_63/Dims369053611412" type="Const" version="opset1">
<data offset="3900432" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="423" name="Conv_63" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="185">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="424" name="Mul_65" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="187">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="425" name="Conv_66/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="426" name="2586259011157" type="Const" version="opset1">
<data offset="3900944" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="427" name="2587259111232" type="Const" version="opset1">
<data offset="3901456" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="428" name="2588259211151" type="Const" version="opset1">
<data offset="3900944" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="429" name="2589259311448" type="Const" version="opset1">
<data offset="3901456" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="430" name="model.6.m.1.cv2.conv.weight53911595" type="Const" version="opset1">
<data offset="3901968" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="431" name="Conv_66/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="432" name="Conv_66/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="433" name="Conv_66/Dims372654110422" type="Const" version="opset1">
<data offset="4491792" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="434" name="Conv_66" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="188">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="435" name="Mul_68" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="190">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="436" name="Add_69/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="437" name="Add_69" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="191">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="438" name="Add_76/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="439" name="1406141011670" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="440" name="1407141110149" type="Const" version="opset1">
<data offset="4492304" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="441" name="1408141211796" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="442" name="1409141310503" type="Const" version="opset1">
<data offset="4492304" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="443" name="1856186011430" type="Const" version="opset1">
<data offset="4492308" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="444" name="1857186110779" type="Const" version="opset1">
<data offset="4492312" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="445" name="1858186211037" type="Const" version="opset1">
<data offset="4492308" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="446" name="1859186311079" type="Const" version="opset1">
<data offset="4492312" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="447" name="2206221010002" type="Const" version="opset1">
<data offset="4492316" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="448" name="2207221111010" type="Const" version="opset1">
<data offset="4492828" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="449" name="2208221211592" type="Const" version="opset1">
<data offset="4492316" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="450" name="2209221310557" type="Const" version="opset1">
<data offset="4492828" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="451" name="model.6.m.2.cv1.conv.weight54510935" type="Const" version="opset1">
<data offset="4493340" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.2.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="452" name="Conv_70/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="453" name="Conv_70/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="454" name="Conv_70/Dims379254712225" type="Const" version="opset1">
<data offset="4558876" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="455" name="Conv_70" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="192">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="456" name="Mul_72" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="194">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="457" name="Conv_73/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="458" name="1866187011397" type="Const" version="opset1">
<data offset="4559388" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="459" name="1867187110842" type="Const" version="opset1">
<data offset="4559900" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="460" name="1868187210860" type="Const" version="opset1">
<data offset="4559388" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="461" name="1869187310401" type="Const" version="opset1">
<data offset="4559900" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="462" name="model.6.m.2.cv2.conv.weight55010956" type="Const" version="opset1">
<data offset="4560412" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.m.2.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="463" name="Conv_73/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="464" name="Conv_73/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="465" name="Conv_73/Dims373855212147" type="Const" version="opset1">
<data offset="5150236" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="466" name="Conv_73" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="195">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="467" name="Mul_75" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="197">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="468" name="Add_76/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="469" name="Add_76" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="198">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="470" name="Concat_80/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="471" name="4281428512201" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="472" name="4282428610341" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="473" name="4283428711049" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="474" name="4284428810062" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="475" name="1596160011757" type="Const" version="opset1">
<data offset="5150752" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="476" name="1597160112009" type="Const" version="opset1">
<data offset="5151264" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="477" name="1598160211367" type="Const" version="opset1">
<data offset="5150752" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="478" name="1599160312273" type="Const" version="opset1">
<data offset="5151264" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="479" name="model.6.cv2.conv.weight5569987" type="Const" version="opset1">
<data offset="5151776" size="131072" shape="128,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.6.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="480" name="Conv_77/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="481" name="Conv_77/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="482" name="Conv_77/Dims363655811004" type="Const" version="opset1">
<data offset="5282848" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="483" name="Conv_77" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="199">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="484" name="Mul_79" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="201">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="485" name="Concat_80/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="486" name="Concat_80" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="202">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="487" name="Conv_81/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="488" name="Conv_81/Dims36305649993" type="Const" version="opset1">
<data offset="5283360" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="489" name="Conv_81" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="203">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="490" name="Mul_83" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="205">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="491" name="Concat_118/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="492" name="3991399511586" type="Const" version="opset1">
<data offset="5284384" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="493" name="3992399611280" type="Const" version="opset1">
<data offset="5284388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="494" name="3993399710116" type="Const" version="opset1">
<data offset="5284384" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="495" name="3994399810155" type="Const" version="opset1">
<data offset="5284388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="496" name="Resize_117/StridedSlice_scales2869142506309945" type="Const" version="opset1">
<data offset="1068440" size="8" shape="2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="497" name="Resize_117/axis28531401963111631" type="Const" version="opset1">
<data offset="1068448" size="16" shape="2" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="498" name="4181418511946" type="Const" version="opset1">
<data offset="5284384" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="499" name="4182418611814" type="Const" version="opset1">
<data offset="5284388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="500" name="4183418710239" type="Const" version="opset1">
<data offset="5284384" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="501" name="4184418812285" type="Const" version="opset1">
<data offset="5284388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="502" name="1666167012129" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="503" name="1667167111895" type="Const" version="opset1">
<data offset="5284392" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="504" name="1668167211427" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="505" name="1669167312237" type="Const" version="opset1">
<data offset="5284392" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="506" name="2546255011892" type="Const" version="opset1">
<data offset="5284396" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="507" name="2547255110839" type="Const" version="opset1">
<data offset="5286444" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="508" name="2548255210173" type="Const" version="opset1">
<data offset="5284396" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="509" name="2549255311589" type="Const" version="opset1">
<data offset="5286444" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="510" name="model.9.cv2.conv.weight60811742" type="Const" version="opset1">
<data offset="5288492" size="2097152" shape="512,1024,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.9.cv2.conv.weight">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="511" name="Conv_111/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="512" name="3891389510815" type="Const" version="opset1">
<data offset="7385644" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="513" name="3892389610698" type="Const" version="opset1">
<data offset="7385648" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="514" name="3893389710986" type="Const" version="opset1">
<data offset="7385644" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="515" name="3894389811646" type="Const" version="opset1">
<data offset="7385648" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="516" name="2116212010209" type="Const" version="opset1">
<data offset="7385652" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="517" name="2117212110143" type="Const" version="opset1">
<data offset="7385656" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="518" name="2118212211571" type="Const" version="opset1">
<data offset="7385652" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="519" name="2119212311139" type="Const" version="opset1">
<data offset="7385656" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="520" name="2646265010611" type="Const" version="opset1">
<data offset="7385660" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="521" name="2647265110572" type="Const" version="opset1">
<data offset="7387708" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="522" name="2648265211991" type="Const" version="opset1">
<data offset="7385660" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="523" name="2649265311838" type="Const" version="opset1">
<data offset="7387708" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="524" name="model.8.cv3.conv.weight59411970" type="Const" version="opset1">
<data offset="7389756" size="1048576" shape="512,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.8.cv3.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="525" name="Conv_101/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="526" name="3871387512087" type="Const" version="opset1">
<data offset="8438332" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="527" name="3872387610803" type="Const" version="opset1">
<data offset="8438336" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="528" name="3873387711094" type="Const" version="opset1">
<data offset="8438332" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="529" name="3874387811739" type="Const" version="opset1">
<data offset="8438336" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="530" name="2476248011859" type="Const" version="opset1">
<data offset="8438340" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="531" name="2477248110200" type="Const" version="opset1">
<data offset="8438344" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="532" name="2478248211346" type="Const" version="opset1">
<data offset="8438340" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="533" name="2479248312207" type="Const" version="opset1">
<data offset="8438344" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="534" name="2056206011199" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="535" name="2057206110437" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="536" name="2058206210452" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="537" name="2059206310011" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="538" name="2977298111700" type="Const" version="opset1">
<data offset="8438348" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="539" name="2978298211988" type="Const" version="opset1">
<data offset="8440396" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="540" name="2979298311451" type="Const" version="opset1">
<data offset="8438348" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="541" name="2980298410659" type="Const" version="opset1">
<data offset="8440396" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="542" name="model.7.conv.weight56710077" type="Const" version="opset1">
<data offset="8442444" size="4718592" shape="512,256,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.7.conv.weight">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="543" name="Conv_84/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="544" name="Conv_84/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="545" name="Conv_84/Dims374456911841" type="Const" version="opset1">
<data offset="13161036" size="2048" shape="1,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="546" name="Conv_84" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="206">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="547" name="Mul_86" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="208">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="548" name="Conv_87/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="549" name="206620709981" type="Const" version="opset1">
<data offset="13163084" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="550" name="2067207111505" type="Const" version="opset1">
<data offset="13164108" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="551" name="2068207211253" type="Const" version="opset1">
<data offset="13163084" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="552" name="2069207310344" type="Const" version="opset1">
<data offset="13164108" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="553" name="model.8.cv1.conv.weight57210782" type="Const" version="opset1">
<data offset="13165132" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.8.cv1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="554" name="Conv_87/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="555" name="Conv_87/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="556" name="Conv_87/Dims359457411187" type="Const" version="opset1">
<data offset="13689420" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="557" name="Conv_87" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="209">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="558" name="Mul_89" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="211">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="559" name="Add_96/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="560" name="2486249011514" type="Const" version="opset1">
<data offset="13690444" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="561" name="2487249110878" type="Const" version="opset1">
<data offset="13690448" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="562" name="2488249210080" type="Const" version="opset1">
<data offset="13690444" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="563" name="2489249311340" type="Const" version="opset1">
<data offset="13690448" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="564" name="2266227010719" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="565" name="2267227110677" type="Const" version="opset1">
<data offset="13690452" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="566" name="2268227210713" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="567" name="2269227310608" type="Const" version="opset1">
<data offset="13690452" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="568" name="1766177011823" type="Const" version="opset1">
<data offset="13690456" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="569" name="1767177111904" type="Const" version="opset1">
<data offset="13691480" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="570" name="176817729963" type="Const" version="opset1">
<data offset="13690456" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="571" name="1769177311145" type="Const" version="opset1">
<data offset="13691480" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="572" name="model.8.m.0.cv1.conv.weight57710908" type="Const" version="opset1">
<data offset="13692504" size="262144" shape="256,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.8.m.0.cv1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="573" name="Conv_90/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="574" name="Conv_90/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="575" name="Conv_90/Dims384057911478" type="Const" version="opset1">
<data offset="13954648" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="576" name="Conv_90" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="212">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="577" name="Mul_92" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="214">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="578" name="Conv_93/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="579" name="227622809930" type="Const" version="opset1">
<data offset="13955672" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="580" name="2277228110005" type="Const" version="opset1">
<data offset="13956696" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="581" name="2278228210905" type="Const" version="opset1">
<data offset="13955672" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="582" name="2279228310320" type="Const" version="opset1">
<data offset="13956696" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="583" name="model.8.m.0.cv2.conv.weight58210251" type="Const" version="opset1">
<data offset="13957720" size="2359296" shape="256,256,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.8.m.0.cv2.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="584" name="Conv_93/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="585" name="Conv_93/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="586" name="Conv_93/Dims354658412159" type="Const" version="opset1">
<data offset="16317016" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="587" name="Conv_93" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="215">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="588" name="Mul_95" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="217">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="589" name="Add_96/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="590" name="Add_96" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="218">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="591" name="Concat_100/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="592" name="3881388510641" type="Const" version="opset1">
<data offset="16318040" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="593" name="3882388610866" type="Const" version="opset1">
<data offset="16318044" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="594" name="3883388710734" type="Const" version="opset1">
<data offset="16318040" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="595" name="3884388812156" type="Const" version="opset1">
<data offset="16318044" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="596" name="2376238010923" type="Const" version="opset1">
<data offset="16318048" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="597" name="2377238111751" type="Const" version="opset1">
<data offset="16319072" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="598" name="2378238210623" type="Const" version="opset1">
<data offset="16318048" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="599" name="2379238310830" type="Const" version="opset1">
<data offset="16319072" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="600" name="model.8.cv2.conv.weight58811802" type="Const" version="opset1">
<data offset="16320096" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.8.cv2.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="601" name="Conv_97/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="602" name="Conv_97/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="603" name="Conv_97/Dims377459010356" type="Const" version="opset1">
<data offset="16844384" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="604" name="Conv_97" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="219">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="605" name="Mul_99" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="221">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="606" name="Concat_100/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="607" name="Concat_100" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="222">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="608" name="Conv_101/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="609" name="Conv_101/Dims355859612279" type="Const" version="opset1">
<data offset="16845408" size="2048" shape="1,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="610" name="Conv_101" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="223">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="611" name="Mul_103" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="225">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="612" name="Conv_104/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="613" name="2126213010311" type="Const" version="opset1">
<data offset="16847456" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="614" name="2127213111778" type="Const" version="opset1">
<data offset="16848480" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="615" name="2128213210857" type="Const" version="opset1">
<data offset="16847456" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="616" name="2129213310914" type="Const" version="opset1">
<data offset="16848480" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="617" name="model.9.cv1.conv.weight59912072" type="Const" version="opset1">
<data offset="16849504" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.9.cv1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="618" name="Conv_104/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="619" name="Conv_104/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="620" name="Conv_104/Dims358260112114" type="Const" version="opset1">
<data offset="17373792" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="621" name="Conv_104" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="226">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="622" name="Mul_106" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="228">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="623" name="Concat_110/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="624" name="MaxPool_107" type="MaxPool" version="opset1">
<data strides="1,1" kernel="5,5" pads_begin="2,2" pads_end="2,2" rounding_type="floor" auto_pad="explicit"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="229">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="625" name="MaxPool_108" type="MaxPool" version="opset1">
<data strides="1,1" kernel="5,5" pads_begin="2,2" pads_end="2,2" rounding_type="floor" auto_pad="explicit"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="230">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="626" name="MaxPool_109" type="MaxPool" version="opset1">
<data strides="1,1" kernel="5,5" pads_begin="2,2" pads_end="2,2" rounding_type="floor" auto_pad="explicit"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="231">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="627" name="Concat_110" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="3">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="232">
<dim>2</dim>
<dim>1024</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="628" name="Conv_111/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>1024</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="629" name="Conv_111/Dims378661010425" type="Const" version="opset1">
<data offset="17374816" size="2048" shape="1,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="630" name="Conv_111" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="233">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="631" name="Mul_113" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="235">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="632" name="Conv_114/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="633" name="1676168011718" type="Const" version="opset1">
<data offset="17376864" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="634" name="1677168111697" type="Const" version="opset1">
<data offset="17377888" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="635" name="1678168210983" type="Const" version="opset1">
<data offset="17376864" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="636" name="1679168311880" type="Const" version="opset1">
<data offset="17377888" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="637" name="model.10.conv.weight61311115" type="Const" version="opset1">
<data offset="17378912" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.10.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="638" name="Conv_114/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="639" name="Conv_114/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="640" name="Conv_114/Dims366661511652" type="Const" version="opset1">
<data offset="17903200" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="641" name="Conv_114" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="236">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="642" name="Mul_116" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="238">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="643" name="Concat_179/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="644" name="Resize_117/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i64"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="645" name="2858" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="646" name="52562011865" type="Const" version="opset1">
<data offset="17904224" size="16" shape="4" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="525">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="647" name="Resize_117/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="648" name="Resize_117/Add_input_port_1/value28571412462210458" type="Const" version="opset1">
<data offset="17904240" size="4" shape="1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="649" name="Resize_117/Add" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="650" name="Resize_117/Floor" type="Floor" version="opset1">
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="651" name="2862" type="Convert" version="opset1">
<data destination_type="i64"/>
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="652" name="Resize_117/StridedSlice_sizes_input_port_1/value28391384262610512" type="Const" version="opset1">
<data offset="17904244" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="653" name="Resize_117/StridedSlice_sizes_input_port_2/value28411386062711790" type="Const" version="opset1">
<data offset="17904252" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="654" name="Resize_117/StridedSlice_sizes_input_port_3/value28431408562810101" type="Const" version="opset1">
<data offset="17904260" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="655" name="Resize_117/StridedSlice_sizes" type="StridedSlice" version="opset1">
<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="0" ellipsis_mask="0"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
</port>
</input>
<output>
<port id="4" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="656" name="Resize_117" type="Interpolate" version="opset4">
<data mode="nearest" nearest_mode="floor" cube_coeff="-0.75" coordinate_transformation_mode="asymmetric" shape_calculation_mode="scales" antialias="false" pads_begin="0,0,0,0" pads_end="0,0,0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
</port>
<port id="2">
<dim>2</dim>
</port>
<port id="3">
<dim>2</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="243">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="657" name="Concat_118/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="658" name="Concat_118" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="244">
<dim>2</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="659" name="Conv_119/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="660" name="Conv_119/Dims367863610185" type="Const" version="opset1">
<data offset="17904268" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="661" name="Conv_119" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="245">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="662" name="Mul_121" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="247">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="663" name="Conv_122/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="664" name="1466147011613" type="Const" version="opset1">
<data offset="17904780" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="665" name="1467147111931" type="Const" version="opset1">
<data offset="17905292" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="666" name="1468147210410" type="Const" version="opset1">
<data offset="17904780" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="667" name="1469147311373" type="Const" version="opset1">
<data offset="17905292" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="668" name="model.13.m.0.cv1.conv.weight6399984" type="Const" version="opset1">
<data offset="17905804" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.13.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="669" name="Conv_122/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="670" name="Conv_122/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="671" name="Conv_122/Dims367264110941" type="Const" version="opset1">
<data offset="17971340" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="672" name="Conv_122" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="248">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="673" name="Mul_124" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="250">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="674" name="Conv_125/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="675" name="1556156011574" type="Const" version="opset1">
<data offset="17971852" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="676" name="1557156110497" type="Const" version="opset1">
<data offset="17972364" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="677" name="1558156211712" type="Const" version="opset1">
<data offset="17971852" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="678" name="1559156311472" type="Const" version="opset1">
<data offset="17972364" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="679" name="model.13.m.0.cv2.conv.weight64411559" type="Const" version="opset1">
<data offset="17972876" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.13.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="680" name="Conv_125/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="681" name="Conv_125/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="682" name="Conv_125/Dims364864610563" type="Const" version="opset1">
<data offset="18562700" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="683" name="Conv_125" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="251">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="684" name="Mul_127" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="253">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="685" name="Concat_131/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="686" name="4041404511940" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="687" name="4042404610764" type="Const" version="opset1">
<data offset="225488" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="688" name="4043404710332" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="689" name="4044404810797" type="Const" version="opset1">
<data offset="225488" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="690" name="2626263010728" type="Const" version="opset1">
<data offset="18563212" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="691" name="2627263110881" type="Const" version="opset1">
<data offset="18563724" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="692" name="2628263211316" type="Const" version="opset1">
<data offset="18563212" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="693" name="2629263311676" type="Const" version="opset1">
<data offset="18563724" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="694" name="model.13.cv2.conv.weight64911616" type="Const" version="opset1">
<data offset="18564236" size="262144" shape="128,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.13.cv2.conv.weight">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="695" name="Conv_128/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="696" name="Conv_128/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="697" name="Conv_128/Dims382865112036" type="Const" version="opset1">
<data offset="18826380" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="698" name="Conv_128" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="254">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="699" name="Mul_130" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="256">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="700" name="Concat_131/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="701" name="Concat_131" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="257">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="702" name="Conv_132/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="703" name="Conv_132/Dims353465711022" type="Const" version="opset1">
<data offset="18826892" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="704" name="Conv_132" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="258">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="705" name="Mul_134" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="260">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="706" name="Conv_135/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="707" name="2426243011289" type="Const" version="opset1">
<data offset="18827916" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="708" name="2427243112240" type="Const" version="opset1">
<data offset="18828428" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="709" name="2428243211055" type="Const" version="opset1">
<data offset="18827916" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="710" name="2429243311526" type="Const" version="opset1">
<data offset="18828428" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="711" name="model.14.conv.weight66011877" type="Const" version="opset1">
<data offset="18828940" size="131072" shape="128,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.14.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="712" name="Conv_135/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="713" name="Conv_135/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="714" name="Conv_135/Dims375066211901" type="Const" version="opset1">
<data offset="18960012" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="715" name="Conv_135" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="261">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="716" name="Mul_137" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="263">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="717" name="Concat_159/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="718" name="Resize_138/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i64"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="719" name="2892" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="720" name="5251416666712042" type="Const" version="opset1">
<data offset="17904224" size="16" shape="4" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="525">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="721" name="Resize_138/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="722" name="Resize_138/Add_input_port_1/value28911409466910566" type="Const" version="opset1">
<data offset="17904240" size="4" shape="1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="723" name="Resize_138/Add" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="724" name="Resize_138/Floor" type="Floor" version="opset1">
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="725" name="2896" type="Convert" version="opset1">
<data destination_type="i64"/>
<input>
<port id="0">
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="726" name="Resize_138/StridedSlice_sizes_input_port_1/value28731418767310581" type="Const" version="opset1">
<data offset="17904244" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="727" name="Resize_138/StridedSlice_sizes_input_port_2/value28751418467411763" type="Const" version="opset1">
<data offset="17904252" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="728" name="Resize_138/StridedSlice_sizes_input_port_3/value28771389967511313" type="Const" version="opset1">
<data offset="17904260" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="729" name="Resize_138/StridedSlice_sizes" type="StridedSlice" version="opset1">
<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="0" ellipsis_mask="0"/>
<input>
<port id="0">
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
</port>
</input>
<output>
<port id="4" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="730" name="Resize_138" type="Interpolate" version="opset4">
<data mode="nearest" nearest_mode="floor" cube_coeff="-0.75" coordinate_transformation_mode="asymmetric" shape_calculation_mode="scales" antialias="false" pads_begin="0,0,0,0" pads_end="0,0,0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
</port>
<port id="2">
<dim>2</dim>
</port>
<port id="3">
<dim>2</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="268">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="731" name="Concat_139/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="732" name="Concat_139" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="269">
<dim>2</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="733" name="Conv_140/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="734" name="Conv_140/Dims375668311247" type="Const" version="opset1">
<data offset="18960524" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="735" name="Conv_140" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="270">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="736" name="Mul_142" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="272">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="737" name="Conv_143/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="738" name="2746275011097" type="Const" version="opset1">
<data offset="18960780" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="739" name="2747275111760" type="Const" version="opset1">
<data offset="18961036" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="740" name="2748275211136" type="Const" version="opset1">
<data offset="18960780" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="741" name="2749275310299" type="Const" version="opset1">
<data offset="18961036" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="742" name="model.17.m.0.cv1.conv.weight68612216" type="Const" version="opset1">
<data offset="18961292" size="16384" shape="64,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.17.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="743" name="Conv_143/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="744" name="Conv_143/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="745" name="Conv_143/Dims366068810548" type="Const" version="opset1">
<data offset="18977676" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="746" name="Conv_143" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="273">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="747" name="Mul_145" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="275">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="748" name="Conv_146/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="749" name="2937294111169" type="Const" version="opset1">
<data offset="18977932" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="750" name="293829429978" type="Const" version="opset1">
<data offset="18978188" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="751" name="2939294311919" type="Const" version="opset1">
<data offset="18977932" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="752" name="2940294410044" type="Const" version="opset1">
<data offset="18978188" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="753" name="model.17.m.0.cv2.conv.weight69111808" type="Const" version="opset1">
<data offset="18978444" size="147456" shape="64,64,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.17.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="754" name="Conv_146/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="755" name="Conv_146/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="756" name="Conv_146/Dims364269312015" type="Const" version="opset1">
<data offset="19125900" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="757" name="Conv_146" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="276">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="758" name="Mul_148" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="278">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="759" name="Concat_152/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="760" name="4101410510965" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="761" name="4102410610767" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="762" name="4103410710650" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="763" name="4104410812039" type="Const" version="opset1">
<data offset="3833868" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="764" name="2446245011664" type="Const" version="opset1">
<data offset="19126156" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="765" name="2447245111682" type="Const" version="opset1">
<data offset="19126412" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="766" name="2448245210884" type="Const" version="opset1">
<data offset="19126156" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="767" name="2449245310554" type="Const" version="opset1">
<data offset="19126412" size="256" shape="64,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="768" name="model.17.cv2.conv.weight69611733" type="Const" version="opset1">
<data offset="19126668" size="65536" shape="64,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.17.cv2.conv.weight">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="769" name="Conv_149/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="770" name="Conv_149/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="771" name="Conv_149/Dims36546989924" type="Const" version="opset1">
<data offset="19192204" size="256" shape="1,64,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="772" name="Conv_149" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="279">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="773" name="Mul_151" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="281">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="774" name="Concat_152/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="775" name="Concat_152" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="282">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="776" name="Conv_153/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="777" name="Conv_153/Dims352870412165" type="Const" version="opset1">
<data offset="19192460" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="778" name="Conv_153" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="283">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="779" name="Mul_155" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="285">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="780" name="Conv_156/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="781" name="Conv_196/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="782" name="Conv_196/Dims381678912267" type="Const" version="opset1">
<data offset="19192972" size="72" shape="1,18,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="783" name="Conv_196" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="326">
<dim>2</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="784" name="34879112270" type="Const" version="opset1">
<data offset="19193044" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64" names="348">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="785" name="Reshape_213" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="349">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="786" name="39879311925" type="Const" version="opset1">
<data offset="19193084" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="787" name="350" type="Transpose" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="350">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="788" name="350/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</input>
</layer>
<layer id="789" name="1446145012000" type="Const" version="opset1">
<data offset="19193124" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="790" name="1447145111070" type="Const" version="opset1">
<data offset="19193196" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="791" name="1448145211328" type="Const" version="opset1">
<data offset="19193124" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="792" name="1449145310704" type="Const" version="opset1">
<data offset="19193196" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="793" name="model.24.m.1.weight77912186" type="Const" version="opset1">
<data offset="19193268" size="18432" shape="18,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.24.m.1.weight">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="794" name="Conv_250/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="795" name="2756276011259" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="796" name="2757276111274" type="Const" version="opset1">
<data offset="323048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="797" name="275827629939" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="798" name="2759276310863" type="Const" version="opset1">
<data offset="323048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="799" name="1656166011256" type="Const" version="opset1">
<data offset="19211700" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="800" name="1657166111580" type="Const" version="opset1">
<data offset="19212724" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="801" name="1658166210800" type="Const" version="opset1">
<data offset="19211700" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="802" name="1659166310284" type="Const" version="opset1">
<data offset="19212724" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="803" name="model.20.cv3.conv.weight73411556" type="Const" version="opset1">
<data offset="19213748" size="262144" shape="256,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.20.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="804" name="Conv_173/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="805" name="4151415511685" type="Const" version="opset1">
<data offset="19475892" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="806" name="4152415610818" type="Const" version="opset1">
<data offset="19475896" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="807" name="4153415712258" type="Const" version="opset1">
<data offset="19475892" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="808" name="4154415811445" type="Const" version="opset1">
<data offset="19475896" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="809" name="2016202010296" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="810" name="2017202110770" type="Const" version="opset1">
<data offset="1332680" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="811" name="201820229996" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="812" name="2019202311490" type="Const" version="opset1">
<data offset="1332680" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="813" name="2136214010644" type="Const" version="opset1">
<data offset="19475900" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="814" name="2137214111457" type="Const" version="opset1">
<data offset="19475904" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="815" name="2138214211277" type="Const" version="opset1">
<data offset="19475900" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="816" name="2139214311235" type="Const" version="opset1">
<data offset="19475904" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="817" name="2666267011181" type="Const" version="opset1">
<data offset="19475908" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="818" name="2667267111886" type="Const" version="opset1">
<data offset="19476420" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="819" name="2668267210278" type="Const" version="opset1">
<data offset="19475908" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="820" name="2669267311085" type="Const" version="opset1">
<data offset="19476420" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="821" name="model.20.cv1.conv.weight71311805" type="Const" version="opset1">
<data offset="19476932" size="131072" shape="128,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.20.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="822" name="Conv_160/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="823" name="4111411511334" type="Const" version="opset1">
<data offset="19608004" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="824" name="4112411610059" type="Const" version="opset1">
<data offset="19608008" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="825" name="4113411710353" type="Const" version="opset1">
<data offset="19608004" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="826" name="4114411810398" type="Const" version="opset1">
<data offset="19608008" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="827" name="2836284011409" type="Const" version="opset1">
<data offset="19608012" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="828" name="2837284112027" type="Const" version="opset1">
<data offset="19608524" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="829" name="2838284211337" type="Const" version="opset1">
<data offset="19608012" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="830" name="2839284310134" type="Const" version="opset1">
<data offset="19608524" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="831" name="model.18.conv.weight70711166" type="Const" version="opset1">
<data offset="19609036" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.18.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="832" name="Conv_156/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="833" name="Conv_156/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="834" name="Conv_156/Dims355270910701" type="Const" version="opset1">
<data offset="20198860" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="835" name="Conv_156" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="286">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="836" name="Mul_158" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="288">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="837" name="Concat_159/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="838" name="Concat_159" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="289">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="839" name="Conv_160/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="840" name="Conv_160/Dims386471511268" type="Const" version="opset1">
<data offset="20199372" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="841" name="Conv_160" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="290">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="842" name="Mul_162" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="292">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="843" name="Conv_163/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="844" name="2146215011538" type="Const" version="opset1">
<data offset="20199884" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="845" name="2147215110218" type="Const" version="opset1">
<data offset="20200396" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="846" name="2148215211853" type="Const" version="opset1">
<data offset="20199884" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="847" name="2149215310086" type="Const" version="opset1">
<data offset="20200396" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="848" name="model.20.m.0.cv1.conv.weight71811082" type="Const" version="opset1">
<data offset="20200908" size="65536" shape="128,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.20.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="849" name="Conv_163/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="850" name="Conv_163/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="851" name="Conv_163/Dims360672010809" type="Const" version="opset1">
<data offset="20266444" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="852" name="Conv_163" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="293">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="853" name="Mul_165" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="295">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="854" name="Conv_166/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="855" name="2026203010902" type="Const" version="opset1">
<data offset="20266956" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="856" name="2027203110638" type="Const" version="opset1">
<data offset="20267468" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="857" name="2028203210929" type="Const" version="opset1">
<data offset="20266956" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="858" name="2029203311727" type="Const" version="opset1">
<data offset="20267468" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="859" name="model.20.m.0.cv2.conv.weight72311541" type="Const" version="opset1">
<data offset="20267980" size="589824" shape="128,128,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.20.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="860" name="Conv_166/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="861" name="Conv_166/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="862" name="Conv_166/Dims376272510056" type="Const" version="opset1">
<data offset="20857804" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="863" name="Conv_166" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="296">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="864" name="Mul_168" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="298">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="865" name="Concat_172/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="866" name="4161416510758" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="867" name="4162416611469" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="868" name="4163416710578" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="869" name="4164416811511" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="870" name="2957296110755" type="Const" version="opset1">
<data offset="20858316" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="871" name="2958296210305" type="Const" version="opset1">
<data offset="20858828" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="872" name="2959296310266" type="Const" version="opset1">
<data offset="20858316" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="873" name="2960296412222" type="Const" version="opset1">
<data offset="20858828" size="512" shape="128,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="874" name="model.20.cv2.conv.weight72810575" type="Const" version="opset1">
<data offset="20859340" size="131072" shape="128,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.20.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="875" name="Conv_169/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="876" name="Conv_169/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="877" name="Conv_169/Dims384673010014" type="Const" version="opset1">
<data offset="20990412" size="512" shape="1,128,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="878" name="Conv_169" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="299">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="879" name="Mul_171" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="301">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="880" name="Concat_172/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="881" name="Concat_172" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="302">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="882" name="Conv_173/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="883" name="Conv_173/Dims361873611013" type="Const" version="opset1">
<data offset="20990924" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="884" name="Conv_173" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="303">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="885" name="Mul_175" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="305">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="886" name="Conv_176/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="887" name="Conv_250/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="888" name="Conv_250/Dims369678110791" type="Const" version="opset1">
<data offset="20991948" size="72" shape="1,18,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="889" name="Conv_250" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="392">
<dim>2</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="890" name="41478310338" type="Const" version="opset1">
<data offset="20992020" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64" names="414">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="891" name="Reshape_267" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="415">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="892" name="40078511484" type="Const" version="opset1">
<data offset="19193084" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="893" name="416" type="Transpose" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="416">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="894" name="416/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</input>
</layer>
<layer id="895" name="2306231012192" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="896" name="230723119975" type="Const" version="opset1">
<data offset="13690452" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="897" name="2308231211301" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="898" name="2309231310887" type="Const" version="opset1">
<data offset="13690452" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="899" name="1426143011961" type="Const" version="opset1">
<data offset="20992060" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="900" name="1427143111628" type="Const" version="opset1">
<data offset="20994108" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="901" name="1428143210122" type="Const" version="opset1">
<data offset="20992060" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="902" name="1429143310245" type="Const" version="opset1">
<data offset="20994108" size="2048" shape="512,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="903" name="model.23.cv3.conv.weight76610509" type="Const" version="opset1">
<data offset="20996156" size="1048576" shape="512,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.23.cv3.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="904" name="Conv_193/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="905" name="4211421511856" type="Const" version="opset1">
<data offset="22044732" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="906" name="4212421610224" type="Const" version="opset1">
<data offset="22044736" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="907" name="4213421711220" type="Const" version="opset1">
<data offset="22044732" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="908" name="4214421810377" type="Const" version="opset1">
<data offset="22044736" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="909" name="2846285010302" type="Const" version="opset1">
<data offset="22044740" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="910" name="2847285111265" type="Const" version="opset1">
<data offset="22044744" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="911" name="2848285210761" type="Const" version="opset1">
<data offset="22044740" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="912" name="2849285311442" type="Const" version="opset1">
<data offset="22044744" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="913" name="1926193011745" type="Const" version="opset1">
<data offset="22044748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="914" name="1927193111625" type="Const" version="opset1">
<data offset="22044752" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="915" name="192819329960" type="Const" version="opset1">
<data offset="22044748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="916" name="1929193311160" type="Const" version="opset1">
<data offset="22044752" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="917" name="1636164010824" type="Const" version="opset1">
<data offset="22044756" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="918" name="1637164110464" type="Const" version="opset1">
<data offset="22045780" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="919" name="1638164212012" type="Const" version="opset1">
<data offset="22044756" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="920" name="1639164311724" type="Const" version="opset1">
<data offset="22045780" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="921" name="model.23.cv1.conv.weight74510617" type="Const" version="opset1">
<data offset="22046804" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.23.cv1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="922" name="Conv_180/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="923" name="4171417511604" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="924" name="4172417611124" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="925" name="4173417711481" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="926" name="4174417810119" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="927" name="2766277012093" type="Const" version="opset1">
<data offset="22571092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="928" name="2767277112066" type="Const" version="opset1">
<data offset="22572116" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="929" name="2768277211535" type="Const" version="opset1">
<data offset="22571092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="930" name="2769277310413" type="Const" version="opset1">
<data offset="22572116" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="931" name="model.21.conv.weight73911382" type="Const" version="opset1">
<data offset="22573140" size="2359296" shape="256,256,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.21.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="932" name="Conv_176/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="933" name="Conv_176/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="2,2" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="934" name="Conv_176/Dims354074111661" type="Const" version="opset1">
<data offset="24932436" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="935" name="Conv_176" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="306">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="936" name="Mul_178" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="308">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="937" name="Concat_179/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="938" name="Concat_179" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="309">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="939" name="Conv_180/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="940" name="Conv_180/Dims385874711547" type="Const" version="opset1">
<data offset="24933460" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="941" name="Conv_180" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="310">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="942" name="Mul_182" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="312">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="943" name="Conv_183/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="944" name="1936194012138" type="Const" version="opset1">
<data offset="24934484" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="945" name="1937194112213" type="Const" version="opset1">
<data offset="24935508" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="946" name="1938194211943" type="Const" version="opset1">
<data offset="24934484" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="947" name="1939194312249" type="Const" version="opset1">
<data offset="24935508" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="948" name="model.23.m.0.cv1.conv.weight75010806" type="Const" version="opset1">
<data offset="24936532" size="262144" shape="256,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.23.m.0.cv1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="949" name="Conv_183/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="950" name="Conv_183/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="951" name="Conv_183/Dims376875210272" type="Const" version="opset1">
<data offset="25198676" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="952" name="Conv_183" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="313">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="953" name="Mul_185" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="315">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="954" name="Conv_186/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="955" name="285628619966" type="Const" version="opset1">
<data offset="25199700" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="956" name="2857286210569" type="Const" version="opset1">
<data offset="25200724" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="957" name="2859286311262" type="Const" version="opset1">
<data offset="25199700" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="958" name="2860286411562" type="Const" version="opset1">
<data offset="25200724" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="959" name="model.23.m.0.cv2.conv.weight75510626" type="Const" version="opset1">
<data offset="25201748" size="2359296" shape="256,256,3,3" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.23.m.0.cv2.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="960" name="Conv_186/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="961" name="Conv_186/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="1,1" pads_end="1,1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="962" name="Conv_186/Dims381075710395" type="Const" version="opset1">
<data offset="27561044" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="963" name="Conv_186" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="316">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="964" name="Mul_188" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="318">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="965" name="Concat_192/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="966" name="4221422510692" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="967" name="4222422610632" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="968" name="4223422710308" type="Const" version="opset1">
<data offset="9360" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="969" name="4224422810230" type="Const" version="opset1">
<data offset="5150748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="970" name="1576158011163" type="Const" version="opset1">
<data offset="27562068" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="971" name="1577158111883" type="Const" version="opset1">
<data offset="27563092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="972" name="1578158211112" type="Const" version="opset1">
<data offset="27562068" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="973" name="1579158310953" type="Const" version="opset1">
<data offset="27563092" size="1024" shape="256,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="974" name="model.23.cv2.conv.weight76011034" type="Const" version="opset1">
<data offset="27564116" size="524288" shape="256,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.23.cv2.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="975" name="Conv_189/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="976" name="Conv_189/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="977" name="Conv_189/Dims370276210518" type="Const" version="opset1">
<data offset="28088404" size="1024" shape="1,256,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="978" name="Conv_189" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="319">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="979" name="Mul_191" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="321">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="980" name="Concat_192/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="981" name="Concat_192" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="322">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="982" name="Conv_193/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="983" name="Conv_193/Dims383476810128" type="Const" version="opset1">
<data offset="28089428" size="2048" shape="1,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="984" name="Conv_193" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="323">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="985" name="Mul_195" type="Swish" version="opset4">
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="325">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="986" name="Conv_304/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="987" name="2316232011238" type="Const" version="opset1">
<data offset="28091476" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="988" name="2317232110113" type="Const" version="opset1">
<data offset="28091548" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="989" name="2318232211370" type="Const" version="opset1">
<data offset="28091476" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="990" name="2319232311100" type="Const" version="opset1">
<data offset="28091548" size="72" shape="18,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="991" name="model.24.m.2.weight77110371" type="Const" version="opset1">
<data offset="28091620" size="36864" shape="18,512,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="model.24.m.2.weight">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="992" name="Conv_304/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="993" name="Conv_304/WithoutBiases" type="Convolution" version="opset1">
<data auto_pad="explicit" strides="1,1" dilations="1,1" pads_begin="0,0" pads_end="0,0"/>
<input>
<port id="0">
<dim>2</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>2</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="994" name="Conv_304/Dims371477311088" type="Const" version="opset1">
<data offset="28128484" size="72" shape="1,18,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="995" name="Conv_304" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>18</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="458">
<dim>2</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="996" name="4807759990" type="Const" version="opset1">
<data offset="28128556" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64" names="480">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="997" name="Reshape_321" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="481">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="998" name="39977710971" type="Const" version="opset1">
<data offset="19193084" size="40" shape="5" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>5</dim>
</port>
</output>
</layer>
<layer id="999" name="482" type="Transpose" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>6</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="482">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1000" name="482/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</input>
</layer>
<layer id="1001" name="Sigmoid_215" type="Sigmoid" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="351">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1002" name="47251382179611871" type="Const" version="opset1">
<data offset="17904252" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1003" name="47271413079710974" type="Const" version="opset1">
<data offset="28128596" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1004" name="Slice_220/Split" type="VariadicSplit" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
<port id="1"/>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="356">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="369">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="380">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1005" name="2987299111271" type="Const" version="opset1">
<data offset="28128620" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1006" name="2988299211400" type="Const" version="opset1">
<data offset="28128624" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1007" name="2989299312132" type="Const" version="opset1">
<data offset="28128620" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1008" name="2990299411178" type="Const" version="opset1">
<data offset="28128624" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1009" name="3571395680111052" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1010" name="1746175011847" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1011" name="1747175110236" type="Const" version="opset1">
<data offset="28128636" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1012" name="1748175212162" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1013" name="1749175311898" type="Const" version="opset1">
<data offset="28128636" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1014" name="Mul_222/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1015" name="Mul_222" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="358">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1016" name="3591424780312117" type="Const" version="opset1">
<data offset="28128640" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="359">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1017" name="Sub_224" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="360">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1018" name="Add_226/fq_input_11724" type="Const" version="opset1">
<data offset="28128644" size="153600" shape="1,3,80,80,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="361">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1019" name="Add_226" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="362">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1020" name="Mul_228/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1021" name="2997300111499" type="Const" version="opset1">
<data offset="28282244" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1022" name="2998300210674" type="Const" version="opset1">
<data offset="28282248" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1023" name="2999300311349" type="Const" version="opset1">
<data offset="28282244" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1024" name="3000300411043" type="Const" version="opset1">
<data offset="28282248" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1025" name="36380710911" type="Const" version="opset1">
<data offset="28282248" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="363">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1026" name="Mul_228/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1027" name="Mul_228" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="364">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1028" name="2216222011565" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1029" name="2217222111364" type="Const" version="opset1">
<data offset="28282252" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1030" name="2218222210680" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1031" name="2219222311019" type="Const" version="opset1">
<data offset="28282252" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1032" name="3571399281112180" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1033" name="3027303111127" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1034" name="3028303210962" type="Const" version="opset1">
<data offset="28282256" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1035" name="3029303310161" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1036" name="3030303412234" type="Const" version="opset1">
<data offset="28282256" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1037" name="2036204010248" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1038" name="2037204111709" type="Const" version="opset1">
<data offset="28282260" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1039" name="2038204210683" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1040" name="2039204312141" type="Const" version="opset1">
<data offset="28282260" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1041" name="Mul_235/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1042" name="2046205010233" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1043" name="2047205110440" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1044" name="2048205210695" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1045" name="2049205312003" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1046" name="35780910461" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1047" name="Mul_235/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1048" name="Mul_235" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="371">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1049" name="Pow_237/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1050" name="Pow_237" type="Power" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="373">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1051" name="Mul_239/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1052" name="2226223010776" type="Const" version="opset1">
<data offset="28282268" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1053" name="2227223111403" type="Const" version="opset1">
<data offset="28282272" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1054" name="2228223210848" type="Const" version="opset1">
<data offset="28282268" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1055" name="2229223312252" type="Const" version="opset1">
<data offset="28282272" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1056" name="37481310017" type="Const" version="opset1">
<data offset="28282276" size="153600" shape="1,3,80,80,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="374">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1057" name="Mul_239/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1058" name="Mul_239" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="375">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1059" name="Concat_245" type="Concat" version="opset1">
<data axis="4"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="381">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1060" name="39081611118" type="Const" version="opset1">
<data offset="28435876" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="390">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1061" name="Reshape_249" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="391">
<dim>2</dim>
<dim>19200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1062" name="Sigmoid_269" type="Sigmoid" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="417">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1063" name="47301423281910992" type="Const" version="opset1">
<data offset="17904252" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1064" name="47321397782011190" type="Const" version="opset1">
<data offset="28128596" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1065" name="Slice_274/Split" type="VariadicSplit" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
<port id="1"/>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="422">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="435">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="446">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1066" name="2556256011772" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1067" name="2557256112171" type="Const" version="opset1">
<data offset="28435900" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1068" name="2558256210095" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1069" name="2559256310653" type="Const" version="opset1">
<data offset="28435900" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1070" name="2867287111436" type="Const" version="opset1">
<data offset="28435904" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1071" name="2868287212057" type="Const" version="opset1">
<data offset="28435908" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1072" name="2869287312153" type="Const" version="opset1">
<data offset="28435904" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1073" name="2870287411421" type="Const" version="opset1">
<data offset="28435908" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1074" name="3571390882412189" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1075" name="1946195010008" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1076" name="1947195110773" type="Const" version="opset1">
<data offset="28435912" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1077" name="1948195210602" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1078" name="1949195310716" type="Const" version="opset1">
<data offset="28435912" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1079" name="Mul_276/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1080" name="Mul_276" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="424">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1081" name="35982611937" type="Const" version="opset1">
<data offset="28128640" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="359">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1082" name="Sub_278" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="426">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1083" name="Add_280/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1084" name="2877288111295" type="Const" version="opset1">
<data offset="28435916" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1085" name="2878288211352" type="Const" version="opset1">
<data offset="28435920" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1086" name="2879288310968" type="Const" version="opset1">
<data offset="28435916" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1087" name="2880288411916" type="Const" version="opset1">
<data offset="28435920" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1088" name="42782810620" type="Const" version="opset1">
<data offset="28435924" size="38400" shape="1,3,40,40,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="427">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1089" name="Add_280/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1090" name="Add_280" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="428">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1091" name="Mul_282/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1092" name="2566257011568" type="Const" version="opset1">
<data offset="28474324" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1093" name="2567257110551" type="Const" version="opset1">
<data offset="28474328" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1094" name="2568257211322" type="Const" version="opset1">
<data offset="28474324" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1095" name="256925739972" type="Const" version="opset1">
<data offset="28474328" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1096" name="42983012126" type="Const" version="opset1">
<data offset="28474328" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="429">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1097" name="Mul_282/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1098" name="Mul_282" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="430">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1099" name="1506151012069" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1100" name="1507151111967" type="Const" version="opset1">
<data offset="28474332" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1101" name="1508151210812" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1102" name="1509151311394" type="Const" version="opset1">
<data offset="28474332" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1103" name="3571398683411130" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1104" name="2406241011952" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1105" name="2407241111835" type="Const" version="opset1">
<data offset="28474336" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1106" name="2408241210629" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1107" name="2409241310197" type="Const" version="opset1">
<data offset="28474336" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1108" name="2176218010380" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1109" name="2177218110743" type="Const" version="opset1">
<data offset="28474340" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1110" name="2178218210785" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1111" name="2179218311325" type="Const" version="opset1">
<data offset="28474340" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1112" name="Mul_289/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1113" name="2186219010359" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1114" name="2187219110920" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1115" name="2188219210347" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1116" name="2189219311982" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1117" name="3571391783210749" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1118" name="Mul_289/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1119" name="Mul_289" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="437">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1120" name="Pow_291/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1121" name="Pow_291" type="Power" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="439">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1122" name="Mul_293/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1123" name="1516152012075" type="Const" version="opset1">
<data offset="28474344" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1124" name="1517152110107" type="Const" version="opset1">
<data offset="28474348" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1125" name="1518152210479" type="Const" version="opset1">
<data offset="28474344" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1126" name="1519152310323" type="Const" version="opset1">
<data offset="28474348" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1127" name="44083610035" type="Const" version="opset1">
<data offset="28474352" size="38400" shape="1,3,40,40,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="440">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1128" name="Mul_293/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1129" name="Mul_293" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="441">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1130" name="Concat_299" type="Concat" version="opset1">
<data axis="4"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="447">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1131" name="45683910662" type="Const" version="opset1">
<data offset="28435876" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="456">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1132" name="Reshape_303" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="457">
<dim>2</dim>
<dim>4800</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1133" name="Sigmoid_323" type="Sigmoid" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="483">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1134" name="47351399884211091" type="Const" version="opset1">
<data offset="17904252" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1135" name="47371395084311655" type="Const" version="opset1">
<data offset="28128596" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1136" name="Slice_328/Split" type="VariadicSplit" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
<port id="1"/>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="488">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="501">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="512">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1137" name="207620809942" type="Const" version="opset1">
<data offset="28512752" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1138" name="2077208110899" type="Const" version="opset1">
<data offset="28512756" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1139" name="2078208210995" type="Const" version="opset1">
<data offset="28512752" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1140" name="207920839951" type="Const" version="opset1">
<data offset="28512756" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1141" name="2776278011304" type="Const" version="opset1">
<data offset="28512760" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1142" name="2777278111913" type="Const" version="opset1">
<data offset="28512764" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1143" name="2778278210917" type="Const" version="opset1">
<data offset="28512760" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1144" name="2779278312204" type="Const" version="opset1">
<data offset="28512764" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1145" name="3571420584710527" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1146" name="1876188010242" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1147" name="1877188112228" type="Const" version="opset1">
<data offset="28512768" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1148" name="1878188211076" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1149" name="187918839927" type="Const" version="opset1">
<data offset="28512768" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1150" name="Mul_330/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1151" name="Mul_330" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="490">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1152" name="3591405584910821" type="Const" version="opset1">
<data offset="28128640" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="359">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1153" name="Sub_332" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="492">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1154" name="Add_334/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1155" name="2786279011517" type="Const" version="opset1">
<data offset="28512772" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1156" name="2787279112195" type="Const" version="opset1">
<data offset="28512776" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1157" name="2788279211715" type="Const" version="opset1">
<data offset="28512772" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1158" name="2789279311460" type="Const" version="opset1">
<data offset="28512776" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1159" name="49385112102" type="Const" version="opset1">
<data offset="28512780" size="9600" shape="1,3,20,20,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="493">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1160" name="Add_334/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1161" name="Add_334" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="494">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1162" name="Mul_336/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1163" name="2086209010485" type="Const" version="opset1">
<data offset="28522380" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1164" name="2087209112111" type="Const" version="opset1">
<data offset="28522384" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1165" name="2088209211658" type="Const" version="opset1">
<data offset="28522380" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1166" name="2089209311748" type="Const" version="opset1">
<data offset="28522384" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1167" name="49585312174" type="Const" version="opset1">
<data offset="28522384" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="495">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1168" name="Mul_336/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1169" name="Mul_336" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="496">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1170" name="2676268011175" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1171" name="2677268110851" type="Const" version="opset1">
<data offset="28522388" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1172" name="2678268211694" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1173" name="2679268311379" type="Const" version="opset1">
<data offset="28522388" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1174" name="3571400185711532" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1175" name="1476148011007" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1176" name="1477148110260" type="Const" version="opset1">
<data offset="28522392" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1177" name="1478148210269" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1178" name="1479148310746" type="Const" version="opset1">
<data offset="28522392" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1179" name="2326233010032" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1180" name="2327233111817" type="Const" version="opset1">
<data offset="28522396" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1181" name="2328233211466" type="Const" version="opset1">
<data offset="28128632" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1182" name="2329233310386" type="Const" version="opset1">
<data offset="28522396" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1183" name="Mul_343/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1184" name="2336234010542" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1185" name="2337234110140" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1186" name="2338234210203" type="Const" version="opset1">
<data offset="28282264" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1187" name="2339234310467" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1188" name="3571405885511955" type="Const" version="opset1">
<data offset="28128628" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="357">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1189" name="Mul_343/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1190" name="Mul_343" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="503">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1191" name="Pow_345/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1192" name="Pow_345" type="Power" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="505">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1193" name="Mul_347/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1194" name="2686269010947" type="Const" version="opset1">
<data offset="28522400" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1195" name="2687269111073" type="Const" version="opset1">
<data offset="28522404" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1196" name="2688269210938" type="Const" version="opset1">
<data offset="28522400" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1197" name="2689269310227" type="Const" version="opset1">
<data offset="28522404" size="4" shape="1,1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1198" name="50685910026" type="Const" version="opset1">
<data offset="28522408" size="9600" shape="1,3,20,20,2" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="506">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1199" name="Mul_347/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="255" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1200" name="Mul_347" type="Multiply" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="507">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1201" name="Concat_353" type="Concat" version="opset1">
<data axis="4"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="513">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1202" name="52286211553" type="Const" version="opset1">
<data offset="28435876" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="522">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1203" name="Reshape_357" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>2</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="523">
<dim>2</dim>
<dim>1200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1204" name="output" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>2</dim>
<dim>19200</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>2</dim>
<dim>4800</dim>
<dim>6</dim>
</port>
<port id="2">
<dim>2</dim>
<dim>1200</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="output">
<dim>2</dim>
<dim>25200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1205" name="output/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>2</dim>
<dim>25200</dim>
<dim>6</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="4" from-port="0" to-layer="5" to-port="0"/>
<edge from-layer="0" from-port="0" to-layer="5" to-port="1"/>
<edge from-layer="1" from-port="0" to-layer="5" to-port="2"/>
<edge from-layer="2" from-port="0" to-layer="5" to-port="3"/>
<edge from-layer="3" from-port="0" to-layer="5" to-port="4"/>
<edge from-layer="14" from-port="0" to-layer="15" to-port="0"/>
<edge from-layer="10" from-port="0" to-layer="15" to-port="1"/>
<edge from-layer="11" from-port="0" to-layer="15" to-port="2"/>
<edge from-layer="12" from-port="0" to-layer="15" to-port="3"/>
<edge from-layer="13" from-port="0" to-layer="15" to-port="4"/>
<edge from-layer="32" from-port="0" to-layer="33" to-port="0"/>
<edge from-layer="28" from-port="0" to-layer="33" to-port="1"/>
<edge from-layer="29" from-port="0" to-layer="33" to-port="2"/>
<edge from-layer="30" from-port="0" to-layer="33" to-port="3"/>
<edge from-layer="31" from-port="0" to-layer="33" to-port="4"/>
<edge from-layer="42" from-port="0" to-layer="43" to-port="0"/>
<edge from-layer="38" from-port="0" to-layer="43" to-port="1"/>
<edge from-layer="39" from-port="0" to-layer="43" to-port="2"/>
<edge from-layer="40" from-port="0" to-layer="43" to-port="3"/>
<edge from-layer="41" from-port="0" to-layer="43" to-port="4"/>
<edge from-layer="68" from-port="0" to-layer="69" to-port="0"/>
<edge from-layer="64" from-port="0" to-layer="69" to-port="1"/>
<edge from-layer="65" from-port="0" to-layer="69" to-port="2"/>
<edge from-layer="66" from-port="0" to-layer="69" to-port="3"/>
<edge from-layer="67" from-port="0" to-layer="69" to-port="4"/>
<edge from-layer="82" from-port="0" to-layer="83" to-port="0"/>
<edge from-layer="78" from-port="0" to-layer="83" to-port="1"/>
<edge from-layer="79" from-port="0" to-layer="83" to-port="2"/>
<edge from-layer="80" from-port="0" to-layer="83" to-port="3"/>
<edge from-layer="81" from-port="0" to-layer="83" to-port="4"/>
<edge from-layer="96" from-port="0" to-layer="97" to-port="0"/>
<edge from-layer="92" from-port="0" to-layer="97" to-port="1"/>
<edge from-layer="93" from-port="0" to-layer="97" to-port="2"/>
<edge from-layer="94" from-port="0" to-layer="97" to-port="3"/>
<edge from-layer="95" from-port="0" to-layer="97" to-port="4"/>
<edge from-layer="102" from-port="0" to-layer="103" to-port="0"/>
<edge from-layer="98" from-port="0" to-layer="103" to-port="1"/>
<edge from-layer="99" from-port="0" to-layer="103" to-port="2"/>
<edge from-layer="100" from-port="0" to-layer="103" to-port="3"/>
<edge from-layer="101" from-port="0" to-layer="103" to-port="4"/>
<edge from-layer="97" from-port="5" to-layer="104" to-port="0"/>
<edge from-layer="103" from-port="5" to-layer="104" to-port="1"/>
<edge from-layer="104" from-port="2" to-layer="106" to-port="0"/>
<edge from-layer="105" from-port="0" to-layer="106" to-port="1"/>
<edge from-layer="106" from-port="2" to-layer="107" to-port="0"/>
<edge from-layer="107" from-port="1" to-layer="108" to-port="0"/>
<edge from-layer="88" from-port="0" to-layer="108" to-port="1"/>
<edge from-layer="89" from-port="0" to-layer="108" to-port="2"/>
<edge from-layer="90" from-port="0" to-layer="108" to-port="3"/>
<edge from-layer="91" from-port="0" to-layer="108" to-port="4"/>
<edge from-layer="113" from-port="0" to-layer="114" to-port="0"/>
<edge from-layer="109" from-port="0" to-layer="114" to-port="1"/>
<edge from-layer="110" from-port="0" to-layer="114" to-port="2"/>
<edge from-layer="111" from-port="0" to-layer="114" to-port="3"/>
<edge from-layer="112" from-port="0" to-layer="114" to-port="4"/>
<edge from-layer="108" from-port="5" to-layer="115" to-port="0"/>
<edge from-layer="114" from-port="5" to-layer="115" to-port="1"/>
<edge from-layer="115" from-port="2" to-layer="117" to-port="0"/>
<edge from-layer="116" from-port="0" to-layer="117" to-port="1"/>
<edge from-layer="117" from-port="2" to-layer="118" to-port="0"/>
<edge from-layer="118" from-port="1" to-layer="119" to-port="0"/>
<edge from-layer="84" from-port="0" to-layer="119" to-port="1"/>
<edge from-layer="85" from-port="0" to-layer="119" to-port="2"/>
<edge from-layer="86" from-port="0" to-layer="119" to-port="3"/>
<edge from-layer="87" from-port="0" to-layer="119" to-port="4"/>
<edge from-layer="119" from-port="5" to-layer="120" to-port="0"/>
<edge from-layer="83" from-port="5" to-layer="120" to-port="1"/>
<edge from-layer="120" from-port="2" to-layer="122" to-port="0"/>
<edge from-layer="121" from-port="0" to-layer="122" to-port="1"/>
<edge from-layer="122" from-port="2" to-layer="123" to-port="0"/>
<edge from-layer="123" from-port="1" to-layer="124" to-port="0"/>
<edge from-layer="74" from-port="0" to-layer="124" to-port="1"/>
<edge from-layer="75" from-port="0" to-layer="124" to-port="2"/>
<edge from-layer="76" from-port="0" to-layer="124" to-port="3"/>
<edge from-layer="77" from-port="0" to-layer="124" to-port="4"/>
<edge from-layer="137" from-port="0" to-layer="138" to-port="0"/>
<edge from-layer="133" from-port="0" to-layer="138" to-port="1"/>
<edge from-layer="134" from-port="0" to-layer="138" to-port="2"/>
<edge from-layer="135" from-port="0" to-layer="138" to-port="3"/>
<edge from-layer="136" from-port="0" to-layer="138" to-port="4"/>
<edge from-layer="124" from-port="5" to-layer="139" to-port="0"/>
<edge from-layer="138" from-port="5" to-layer="139" to-port="1"/>
<edge from-layer="139" from-port="2" to-layer="141" to-port="0"/>
<edge from-layer="140" from-port="0" to-layer="141" to-port="1"/>
<edge from-layer="141" from-port="2" to-layer="142" to-port="0"/>
<edge from-layer="142" from-port="1" to-layer="143" to-port="0"/>
<edge from-layer="129" from-port="0" to-layer="143" to-port="1"/>
<edge from-layer="130" from-port="0" to-layer="143" to-port="2"/>
<edge from-layer="131" from-port="0" to-layer="143" to-port="3"/>
<edge from-layer="132" from-port="0" to-layer="143" to-port="4"/>
<edge from-layer="148" from-port="0" to-layer="149" to-port="0"/>
<edge from-layer="144" from-port="0" to-layer="149" to-port="1"/>
<edge from-layer="145" from-port="0" to-layer="149" to-port="2"/>
<edge from-layer="146" from-port="0" to-layer="149" to-port="3"/>
<edge from-layer="147" from-port="0" to-layer="149" to-port="4"/>
<edge from-layer="143" from-port="5" to-layer="150" to-port="0"/>
<edge from-layer="149" from-port="5" to-layer="150" to-port="1"/>
<edge from-layer="150" from-port="2" to-layer="152" to-port="0"/>
<edge from-layer="151" from-port="0" to-layer="152" to-port="1"/>
<edge from-layer="152" from-port="2" to-layer="153" to-port="0"/>
<edge from-layer="153" from-port="1" to-layer="154" to-port="0"/>
<edge from-layer="125" from-port="0" to-layer="154" to-port="1"/>
<edge from-layer="126" from-port="0" to-layer="154" to-port="2"/>
<edge from-layer="127" from-port="0" to-layer="154" to-port="3"/>
<edge from-layer="128" from-port="0" to-layer="154" to-port="4"/>
<edge from-layer="124" from-port="5" to-layer="155" to-port="0"/>
<edge from-layer="154" from-port="5" to-layer="155" to-port="1"/>
<edge from-layer="155" from-port="2" to-layer="156" to-port="0"/>
<edge from-layer="70" from-port="0" to-layer="156" to-port="1"/>
<edge from-layer="71" from-port="0" to-layer="156" to-port="2"/>
<edge from-layer="72" from-port="0" to-layer="156" to-port="3"/>
<edge from-layer="73" from-port="0" to-layer="156" to-port="4"/>
<edge from-layer="165" from-port="0" to-layer="166" to-port="0"/>
<edge from-layer="161" from-port="0" to-layer="166" to-port="1"/>
<edge from-layer="162" from-port="0" to-layer="166" to-port="2"/>
<edge from-layer="163" from-port="0" to-layer="166" to-port="3"/>
<edge from-layer="164" from-port="0" to-layer="166" to-port="4"/>
<edge from-layer="119" from-port="5" to-layer="167" to-port="0"/>
<edge from-layer="166" from-port="5" to-layer="167" to-port="1"/>
<edge from-layer="167" from-port="2" to-layer="169" to-port="0"/>
<edge from-layer="168" from-port="0" to-layer="169" to-port="1"/>
<edge from-layer="169" from-port="2" to-layer="170" to-port="0"/>
<edge from-layer="170" from-port="1" to-layer="171" to-port="0"/>
<edge from-layer="157" from-port="0" to-layer="171" to-port="1"/>
<edge from-layer="158" from-port="0" to-layer="171" to-port="2"/>
<edge from-layer="159" from-port="0" to-layer="171" to-port="3"/>
<edge from-layer="160" from-port="0" to-layer="171" to-port="4"/>
<edge from-layer="156" from-port="5" to-layer="172" to-port="0"/>
<edge from-layer="171" from-port="5" to-layer="172" to-port="1"/>
<edge from-layer="172" from-port="2" to-layer="173" to-port="0"/>
<edge from-layer="69" from-port="5" to-layer="173" to-port="1"/>
<edge from-layer="173" from-port="2" to-layer="175" to-port="0"/>
<edge from-layer="174" from-port="0" to-layer="175" to-port="1"/>
<edge from-layer="175" from-port="2" to-layer="176" to-port="0"/>
<edge from-layer="176" from-port="1" to-layer="177" to-port="0"/>
<edge from-layer="60" from-port="0" to-layer="177" to-port="1"/>
<edge from-layer="61" from-port="0" to-layer="177" to-port="2"/>
<edge from-layer="62" from-port="0" to-layer="177" to-port="3"/>
<edge from-layer="63" from-port="0" to-layer="177" to-port="4"/>
<edge from-layer="182" from-port="0" to-layer="183" to-port="0"/>
<edge from-layer="178" from-port="0" to-layer="183" to-port="1"/>
<edge from-layer="179" from-port="0" to-layer="183" to-port="2"/>
<edge from-layer="180" from-port="0" to-layer="183" to-port="3"/>
<edge from-layer="181" from-port="0" to-layer="183" to-port="4"/>
<edge from-layer="177" from-port="5" to-layer="184" to-port="0"/>
<edge from-layer="183" from-port="5" to-layer="184" to-port="1"/>
<edge from-layer="184" from-port="2" to-layer="186" to-port="0"/>
<edge from-layer="185" from-port="0" to-layer="186" to-port="1"/>
<edge from-layer="186" from-port="2" to-layer="187" to-port="0"/>
<edge from-layer="187" from-port="1" to-layer="188" to-port="0"/>
<edge from-layer="56" from-port="0" to-layer="188" to-port="1"/>
<edge from-layer="57" from-port="0" to-layer="188" to-port="2"/>
<edge from-layer="58" from-port="0" to-layer="188" to-port="3"/>
<edge from-layer="59" from-port="0" to-layer="188" to-port="4"/>
<edge from-layer="193" from-port="0" to-layer="194" to-port="0"/>
<edge from-layer="189" from-port="0" to-layer="194" to-port="1"/>
<edge from-layer="190" from-port="0" to-layer="194" to-port="2"/>
<edge from-layer="191" from-port="0" to-layer="194" to-port="3"/>
<edge from-layer="192" from-port="0" to-layer="194" to-port="4"/>
<edge from-layer="188" from-port="5" to-layer="195" to-port="0"/>
<edge from-layer="194" from-port="5" to-layer="195" to-port="1"/>
<edge from-layer="195" from-port="2" to-layer="197" to-port="0"/>
<edge from-layer="196" from-port="0" to-layer="197" to-port="1"/>
<edge from-layer="197" from-port="2" to-layer="198" to-port="0"/>
<edge from-layer="198" from-port="1" to-layer="199" to-port="0"/>
<edge from-layer="52" from-port="0" to-layer="199" to-port="1"/>
<edge from-layer="53" from-port="0" to-layer="199" to-port="2"/>
<edge from-layer="54" from-port="0" to-layer="199" to-port="3"/>
<edge from-layer="55" from-port="0" to-layer="199" to-port="4"/>
<edge from-layer="212" from-port="0" to-layer="213" to-port="0"/>
<edge from-layer="208" from-port="0" to-layer="213" to-port="1"/>
<edge from-layer="209" from-port="0" to-layer="213" to-port="2"/>
<edge from-layer="210" from-port="0" to-layer="213" to-port="3"/>
<edge from-layer="211" from-port="0" to-layer="213" to-port="4"/>
<edge from-layer="199" from-port="5" to-layer="214" to-port="0"/>
<edge from-layer="213" from-port="5" to-layer="214" to-port="1"/>
<edge from-layer="214" from-port="2" to-layer="216" to-port="0"/>
<edge from-layer="215" from-port="0" to-layer="216" to-port="1"/>
<edge from-layer="216" from-port="2" to-layer="217" to-port="0"/>
<edge from-layer="217" from-port="1" to-layer="218" to-port="0"/>
<edge from-layer="204" from-port="0" to-layer="218" to-port="1"/>
<edge from-layer="205" from-port="0" to-layer="218" to-port="2"/>
<edge from-layer="206" from-port="0" to-layer="218" to-port="3"/>
<edge from-layer="207" from-port="0" to-layer="218" to-port="4"/>
<edge from-layer="223" from-port="0" to-layer="224" to-port="0"/>
<edge from-layer="219" from-port="0" to-layer="224" to-port="1"/>
<edge from-layer="220" from-port="0" to-layer="224" to-port="2"/>
<edge from-layer="221" from-port="0" to-layer="224" to-port="3"/>
<edge from-layer="222" from-port="0" to-layer="224" to-port="4"/>
<edge from-layer="218" from-port="5" to-layer="225" to-port="0"/>
<edge from-layer="224" from-port="5" to-layer="225" to-port="1"/>
<edge from-layer="225" from-port="2" to-layer="227" to-port="0"/>
<edge from-layer="226" from-port="0" to-layer="227" to-port="1"/>
<edge from-layer="227" from-port="2" to-layer="228" to-port="0"/>
<edge from-layer="228" from-port="1" to-layer="229" to-port="0"/>
<edge from-layer="200" from-port="0" to-layer="229" to-port="1"/>
<edge from-layer="201" from-port="0" to-layer="229" to-port="2"/>
<edge from-layer="202" from-port="0" to-layer="229" to-port="3"/>
<edge from-layer="203" from-port="0" to-layer="229" to-port="4"/>
<edge from-layer="199" from-port="5" to-layer="230" to-port="0"/>
<edge from-layer="229" from-port="5" to-layer="230" to-port="1"/>
<edge from-layer="230" from-port="2" to-layer="231" to-port="0"/>
<edge from-layer="48" from-port="0" to-layer="231" to-port="1"/>
<edge from-layer="49" from-port="0" to-layer="231" to-port="2"/>
<edge from-layer="50" from-port="0" to-layer="231" to-port="3"/>
<edge from-layer="51" from-port="0" to-layer="231" to-port="4"/>
<edge from-layer="244" from-port="0" to-layer="245" to-port="0"/>
<edge from-layer="240" from-port="0" to-layer="245" to-port="1"/>
<edge from-layer="241" from-port="0" to-layer="245" to-port="2"/>
<edge from-layer="242" from-port="0" to-layer="245" to-port="3"/>
<edge from-layer="243" from-port="0" to-layer="245" to-port="4"/>
<edge from-layer="231" from-port="5" to-layer="246" to-port="0"/>
<edge from-layer="245" from-port="5" to-layer="246" to-port="1"/>
<edge from-layer="246" from-port="2" to-layer="248" to-port="0"/>
<edge from-layer="247" from-port="0" to-layer="248" to-port="1"/>
<edge from-layer="248" from-port="2" to-layer="249" to-port="0"/>
<edge from-layer="249" from-port="1" to-layer="250" to-port="0"/>
<edge from-layer="236" from-port="0" to-layer="250" to-port="1"/>
<edge from-layer="237" from-port="0" to-layer="250" to-port="2"/>
<edge from-layer="238" from-port="0" to-layer="250" to-port="3"/>
<edge from-layer="239" from-port="0" to-layer="250" to-port="4"/>
<edge from-layer="255" from-port="0" to-layer="256" to-port="0"/>
<edge from-layer="251" from-port="0" to-layer="256" to-port="1"/>
<edge from-layer="252" from-port="0" to-layer="256" to-port="2"/>
<edge from-layer="253" from-port="0" to-layer="256" to-port="3"/>
<edge from-layer="254" from-port="0" to-layer="256" to-port="4"/>
<edge from-layer="250" from-port="5" to-layer="257" to-port="0"/>
<edge from-layer="256" from-port="5" to-layer="257" to-port="1"/>
<edge from-layer="257" from-port="2" to-layer="259" to-port="0"/>
<edge from-layer="258" from-port="0" to-layer="259" to-port="1"/>
<edge from-layer="259" from-port="2" to-layer="260" to-port="0"/>
<edge from-layer="260" from-port="1" to-layer="261" to-port="0"/>
<edge from-layer="232" from-port="0" to-layer="261" to-port="1"/>
<edge from-layer="233" from-port="0" to-layer="261" to-port="2"/>
<edge from-layer="234" from-port="0" to-layer="261" to-port="3"/>
<edge from-layer="235" from-port="0" to-layer="261" to-port="4"/>
<edge from-layer="231" from-port="5" to-layer="262" to-port="0"/>
<edge from-layer="261" from-port="5" to-layer="262" to-port="1"/>
<edge from-layer="262" from-port="2" to-layer="263" to-port="0"/>
<edge from-layer="44" from-port="0" to-layer="263" to-port="1"/>
<edge from-layer="45" from-port="0" to-layer="263" to-port="2"/>
<edge from-layer="46" from-port="0" to-layer="263" to-port="3"/>
<edge from-layer="47" from-port="0" to-layer="263" to-port="4"/>
<edge from-layer="272" from-port="0" to-layer="273" to-port="0"/>
<edge from-layer="268" from-port="0" to-layer="273" to-port="1"/>
<edge from-layer="269" from-port="0" to-layer="273" to-port="2"/>
<edge from-layer="270" from-port="0" to-layer="273" to-port="3"/>
<edge from-layer="271" from-port="0" to-layer="273" to-port="4"/>
<edge from-layer="188" from-port="5" to-layer="274" to-port="0"/>
<edge from-layer="273" from-port="5" to-layer="274" to-port="1"/>
<edge from-layer="274" from-port="2" to-layer="276" to-port="0"/>
<edge from-layer="275" from-port="0" to-layer="276" to-port="1"/>
<edge from-layer="276" from-port="2" to-layer="277" to-port="0"/>
<edge from-layer="277" from-port="1" to-layer="278" to-port="0"/>
<edge from-layer="264" from-port="0" to-layer="278" to-port="1"/>
<edge from-layer="265" from-port="0" to-layer="278" to-port="2"/>
<edge from-layer="266" from-port="0" to-layer="278" to-port="3"/>
<edge from-layer="267" from-port="0" to-layer="278" to-port="4"/>
<edge from-layer="263" from-port="5" to-layer="279" to-port="0"/>
<edge from-layer="278" from-port="5" to-layer="279" to-port="1"/>
<edge from-layer="279" from-port="2" to-layer="280" to-port="0"/>
<edge from-layer="43" from-port="5" to-layer="280" to-port="1"/>
<edge from-layer="280" from-port="2" to-layer="282" to-port="0"/>
<edge from-layer="281" from-port="0" to-layer="282" to-port="1"/>
<edge from-layer="282" from-port="2" to-layer="283" to-port="0"/>
<edge from-layer="283" from-port="1" to-layer="284" to-port="0"/>
<edge from-layer="34" from-port="0" to-layer="284" to-port="1"/>
<edge from-layer="35" from-port="0" to-layer="284" to-port="2"/>
<edge from-layer="36" from-port="0" to-layer="284" to-port="3"/>
<edge from-layer="37" from-port="0" to-layer="284" to-port="4"/>
<edge from-layer="303" from-port="0" to-layer="304" to-port="0"/>
<edge from-layer="299" from-port="0" to-layer="304" to-port="1"/>
<edge from-layer="300" from-port="0" to-layer="304" to-port="2"/>
<edge from-layer="301" from-port="0" to-layer="304" to-port="3"/>
<edge from-layer="302" from-port="0" to-layer="304" to-port="4"/>
<edge from-layer="321" from-port="0" to-layer="322" to-port="0"/>
<edge from-layer="317" from-port="0" to-layer="322" to-port="1"/>
<edge from-layer="318" from-port="0" to-layer="322" to-port="2"/>
<edge from-layer="319" from-port="0" to-layer="322" to-port="3"/>
<edge from-layer="320" from-port="0" to-layer="322" to-port="4"/>
<edge from-layer="331" from-port="0" to-layer="332" to-port="0"/>
<edge from-layer="327" from-port="0" to-layer="332" to-port="1"/>
<edge from-layer="328" from-port="0" to-layer="332" to-port="2"/>
<edge from-layer="329" from-port="0" to-layer="332" to-port="3"/>
<edge from-layer="330" from-port="0" to-layer="332" to-port="4"/>
<edge from-layer="357" from-port="0" to-layer="358" to-port="0"/>
<edge from-layer="353" from-port="0" to-layer="358" to-port="1"/>
<edge from-layer="354" from-port="0" to-layer="358" to-port="2"/>
<edge from-layer="355" from-port="0" to-layer="358" to-port="3"/>
<edge from-layer="356" from-port="0" to-layer="358" to-port="4"/>
<edge from-layer="284" from-port="5" to-layer="359" to-port="0"/>
<edge from-layer="358" from-port="5" to-layer="359" to-port="1"/>
<edge from-layer="359" from-port="2" to-layer="361" to-port="0"/>
<edge from-layer="360" from-port="0" to-layer="361" to-port="1"/>
<edge from-layer="361" from-port="2" to-layer="362" to-port="0"/>
<edge from-layer="362" from-port="1" to-layer="363" to-port="0"/>
<edge from-layer="349" from-port="0" to-layer="363" to-port="1"/>
<edge from-layer="350" from-port="0" to-layer="363" to-port="2"/>
<edge from-layer="351" from-port="0" to-layer="363" to-port="3"/>
<edge from-layer="352" from-port="0" to-layer="363" to-port="4"/>
<edge from-layer="368" from-port="0" to-layer="369" to-port="0"/>
<edge from-layer="364" from-port="0" to-layer="369" to-port="1"/>
<edge from-layer="365" from-port="0" to-layer="369" to-port="2"/>
<edge from-layer="366" from-port="0" to-layer="369" to-port="3"/>
<edge from-layer="367" from-port="0" to-layer="369" to-port="4"/>
<edge from-layer="363" from-port="5" to-layer="370" to-port="0"/>
<edge from-layer="369" from-port="5" to-layer="370" to-port="1"/>
<edge from-layer="370" from-port="2" to-layer="372" to-port="0"/>
<edge from-layer="371" from-port="0" to-layer="372" to-port="1"/>
<edge from-layer="372" from-port="2" to-layer="373" to-port="0"/>
<edge from-layer="373" from-port="1" to-layer="374" to-port="0"/>
<edge from-layer="345" from-port="0" to-layer="374" to-port="1"/>
<edge from-layer="346" from-port="0" to-layer="374" to-port="2"/>
<edge from-layer="347" from-port="0" to-layer="374" to-port="3"/>
<edge from-layer="348" from-port="0" to-layer="374" to-port="4"/>
<edge from-layer="387" from-port="0" to-layer="388" to-port="0"/>
<edge from-layer="383" from-port="0" to-layer="388" to-port="1"/>
<edge from-layer="384" from-port="0" to-layer="388" to-port="2"/>
<edge from-layer="385" from-port="0" to-layer="388" to-port="3"/>
<edge from-layer="386" from-port="0" to-layer="388" to-port="4"/>
<edge from-layer="374" from-port="5" to-layer="389" to-port="0"/>
<edge from-layer="388" from-port="5" to-layer="389" to-port="1"/>
<edge from-layer="389" from-port="2" to-layer="391" to-port="0"/>
<edge from-layer="390" from-port="0" to-layer="391" to-port="1"/>
<edge from-layer="391" from-port="2" to-layer="392" to-port="0"/>
<edge from-layer="392" from-port="1" to-layer="393" to-port="0"/>
<edge from-layer="379" from-port="0" to-layer="393" to-port="1"/>
<edge from-layer="380" from-port="0" to-layer="393" to-port="2"/>
<edge from-layer="381" from-port="0" to-layer="393" to-port="3"/>
<edge from-layer="382" from-port="0" to-layer="393" to-port="4"/>
<edge from-layer="398" from-port="0" to-layer="399" to-port="0"/>
<edge from-layer="394" from-port="0" to-layer="399" to-port="1"/>
<edge from-layer="395" from-port="0" to-layer="399" to-port="2"/>
<edge from-layer="396" from-port="0" to-layer="399" to-port="3"/>
<edge from-layer="397" from-port="0" to-layer="399" to-port="4"/>
<edge from-layer="393" from-port="5" to-layer="400" to-port="0"/>
<edge from-layer="399" from-port="5" to-layer="400" to-port="1"/>
<edge from-layer="400" from-port="2" to-layer="402" to-port="0"/>
<edge from-layer="401" from-port="0" to-layer="402" to-port="1"/>
<edge from-layer="402" from-port="2" to-layer="403" to-port="0"/>
<edge from-layer="403" from-port="1" to-layer="404" to-port="0"/>
<edge from-layer="375" from-port="0" to-layer="404" to-port="1"/>
<edge from-layer="376" from-port="0" to-layer="404" to-port="2"/>
<edge from-layer="377" from-port="0" to-layer="404" to-port="3"/>
<edge from-layer="378" from-port="0" to-layer="404" to-port="4"/>
<edge from-layer="374" from-port="5" to-layer="405" to-port="0"/>
<edge from-layer="404" from-port="5" to-layer="405" to-port="1"/>
<edge from-layer="405" from-port="2" to-layer="406" to-port="0"/>
<edge from-layer="341" from-port="0" to-layer="406" to-port="1"/>
<edge from-layer="342" from-port="0" to-layer="406" to-port="2"/>
<edge from-layer="343" from-port="0" to-layer="406" to-port="3"/>
<edge from-layer="344" from-port="0" to-layer="406" to-port="4"/>
<edge from-layer="419" from-port="0" to-layer="420" to-port="0"/>
<edge from-layer="415" from-port="0" to-layer="420" to-port="1"/>
<edge from-layer="416" from-port="0" to-layer="420" to-port="2"/>
<edge from-layer="417" from-port="0" to-layer="420" to-port="3"/>
<edge from-layer="418" from-port="0" to-layer="420" to-port="4"/>
<edge from-layer="406" from-port="5" to-layer="421" to-port="0"/>
<edge from-layer="420" from-port="5" to-layer="421" to-port="1"/>
<edge from-layer="421" from-port="2" to-layer="423" to-port="0"/>
<edge from-layer="422" from-port="0" to-layer="423" to-port="1"/>
<edge from-layer="423" from-port="2" to-layer="424" to-port="0"/>
<edge from-layer="424" from-port="1" to-layer="425" to-port="0"/>
<edge from-layer="411" from-port="0" to-layer="425" to-port="1"/>
<edge from-layer="412" from-port="0" to-layer="425" to-port="2"/>
<edge from-layer="413" from-port="0" to-layer="425" to-port="3"/>
<edge from-layer="414" from-port="0" to-layer="425" to-port="4"/>
<edge from-layer="430" from-port="0" to-layer="431" to-port="0"/>
<edge from-layer="426" from-port="0" to-layer="431" to-port="1"/>
<edge from-layer="427" from-port="0" to-layer="431" to-port="2"/>
<edge from-layer="428" from-port="0" to-layer="431" to-port="3"/>
<edge from-layer="429" from-port="0" to-layer="431" to-port="4"/>
<edge from-layer="425" from-port="5" to-layer="432" to-port="0"/>
<edge from-layer="431" from-port="5" to-layer="432" to-port="1"/>
<edge from-layer="432" from-port="2" to-layer="434" to-port="0"/>
<edge from-layer="433" from-port="0" to-layer="434" to-port="1"/>
<edge from-layer="434" from-port="2" to-layer="435" to-port="0"/>
<edge from-layer="435" from-port="1" to-layer="436" to-port="0"/>
<edge from-layer="407" from-port="0" to-layer="436" to-port="1"/>
<edge from-layer="408" from-port="0" to-layer="436" to-port="2"/>
<edge from-layer="409" from-port="0" to-layer="436" to-port="3"/>
<edge from-layer="410" from-port="0" to-layer="436" to-port="4"/>
<edge from-layer="406" from-port="5" to-layer="437" to-port="0"/>
<edge from-layer="436" from-port="5" to-layer="437" to-port="1"/>
<edge from-layer="437" from-port="2" to-layer="438" to-port="0"/>
<edge from-layer="337" from-port="0" to-layer="438" to-port="1"/>
<edge from-layer="338" from-port="0" to-layer="438" to-port="2"/>
<edge from-layer="339" from-port="0" to-layer="438" to-port="3"/>
<edge from-layer="340" from-port="0" to-layer="438" to-port="4"/>
<edge from-layer="451" from-port="0" to-layer="452" to-port="0"/>
<edge from-layer="447" from-port="0" to-layer="452" to-port="1"/>
<edge from-layer="448" from-port="0" to-layer="452" to-port="2"/>
<edge from-layer="449" from-port="0" to-layer="452" to-port="3"/>
<edge from-layer="450" from-port="0" to-layer="452" to-port="4"/>
<edge from-layer="438" from-port="5" to-layer="453" to-port="0"/>
<edge from-layer="452" from-port="5" to-layer="453" to-port="1"/>
<edge from-layer="453" from-port="2" to-layer="455" to-port="0"/>
<edge from-layer="454" from-port="0" to-layer="455" to-port="1"/>
<edge from-layer="455" from-port="2" to-layer="456" to-port="0"/>
<edge from-layer="456" from-port="1" to-layer="457" to-port="0"/>
<edge from-layer="443" from-port="0" to-layer="457" to-port="1"/>
<edge from-layer="444" from-port="0" to-layer="457" to-port="2"/>
<edge from-layer="445" from-port="0" to-layer="457" to-port="3"/>
<edge from-layer="446" from-port="0" to-layer="457" to-port="4"/>
<edge from-layer="462" from-port="0" to-layer="463" to-port="0"/>
<edge from-layer="458" from-port="0" to-layer="463" to-port="1"/>
<edge from-layer="459" from-port="0" to-layer="463" to-port="2"/>
<edge from-layer="460" from-port="0" to-layer="463" to-port="3"/>
<edge from-layer="461" from-port="0" to-layer="463" to-port="4"/>
<edge from-layer="457" from-port="5" to-layer="464" to-port="0"/>
<edge from-layer="463" from-port="5" to-layer="464" to-port="1"/>
<edge from-layer="464" from-port="2" to-layer="466" to-port="0"/>
<edge from-layer="465" from-port="0" to-layer="466" to-port="1"/>
<edge from-layer="466" from-port="2" to-layer="467" to-port="0"/>
<edge from-layer="467" from-port="1" to-layer="468" to-port="0"/>
<edge from-layer="439" from-port="0" to-layer="468" to-port="1"/>
<edge from-layer="440" from-port="0" to-layer="468" to-port="2"/>
<edge from-layer="441" from-port="0" to-layer="468" to-port="3"/>
<edge from-layer="442" from-port="0" to-layer="468" to-port="4"/>
<edge from-layer="438" from-port="5" to-layer="469" to-port="0"/>
<edge from-layer="468" from-port="5" to-layer="469" to-port="1"/>
<edge from-layer="469" from-port="2" to-layer="470" to-port="0"/>
<edge from-layer="333" from-port="0" to-layer="470" to-port="1"/>
<edge from-layer="334" from-port="0" to-layer="470" to-port="2"/>
<edge from-layer="335" from-port="0" to-layer="470" to-port="3"/>
<edge from-layer="336" from-port="0" to-layer="470" to-port="4"/>
<edge from-layer="479" from-port="0" to-layer="480" to-port="0"/>
<edge from-layer="475" from-port="0" to-layer="480" to-port="1"/>
<edge from-layer="476" from-port="0" to-layer="480" to-port="2"/>
<edge from-layer="477" from-port="0" to-layer="480" to-port="3"/>
<edge from-layer="478" from-port="0" to-layer="480" to-port="4"/>
<edge from-layer="363" from-port="5" to-layer="481" to-port="0"/>
<edge from-layer="480" from-port="5" to-layer="481" to-port="1"/>
<edge from-layer="481" from-port="2" to-layer="483" to-port="0"/>
<edge from-layer="482" from-port="0" to-layer="483" to-port="1"/>
<edge from-layer="483" from-port="2" to-layer="484" to-port="0"/>
<edge from-layer="484" from-port="1" to-layer="485" to-port="0"/>
<edge from-layer="471" from-port="0" to-layer="485" to-port="1"/>
<edge from-layer="472" from-port="0" to-layer="485" to-port="2"/>
<edge from-layer="473" from-port="0" to-layer="485" to-port="3"/>
<edge from-layer="474" from-port="0" to-layer="485" to-port="4"/>
<edge from-layer="470" from-port="5" to-layer="486" to-port="0"/>
<edge from-layer="485" from-port="5" to-layer="486" to-port="1"/>
<edge from-layer="486" from-port="2" to-layer="487" to-port="0"/>
<edge from-layer="332" from-port="5" to-layer="487" to-port="1"/>
<edge from-layer="487" from-port="2" to-layer="489" to-port="0"/>
<edge from-layer="488" from-port="0" to-layer="489" to-port="1"/>
<edge from-layer="489" from-port="2" to-layer="490" to-port="0"/>
<edge from-layer="490" from-port="1" to-layer="491" to-port="0"/>
<edge from-layer="323" from-port="0" to-layer="491" to-port="1"/>
<edge from-layer="324" from-port="0" to-layer="491" to-port="2"/>
<edge from-layer="325" from-port="0" to-layer="491" to-port="3"/>
<edge from-layer="326" from-port="0" to-layer="491" to-port="4"/>
<edge from-layer="510" from-port="0" to-layer="511" to-port="0"/>
<edge from-layer="506" from-port="0" to-layer="511" to-port="1"/>
<edge from-layer="507" from-port="0" to-layer="511" to-port="2"/>
<edge from-layer="508" from-port="0" to-layer="511" to-port="3"/>
<edge from-layer="509" from-port="0" to-layer="511" to-port="4"/>
<edge from-layer="524" from-port="0" to-layer="525" to-port="0"/>
<edge from-layer="520" from-port="0" to-layer="525" to-port="1"/>
<edge from-layer="521" from-port="0" to-layer="525" to-port="2"/>
<edge from-layer="522" from-port="0" to-layer="525" to-port="3"/>
<edge from-layer="523" from-port="0" to-layer="525" to-port="4"/>
<edge from-layer="542" from-port="0" to-layer="543" to-port="0"/>
<edge from-layer="538" from-port="0" to-layer="543" to-port="1"/>
<edge from-layer="539" from-port="0" to-layer="543" to-port="2"/>
<edge from-layer="540" from-port="0" to-layer="543" to-port="3"/>
<edge from-layer="541" from-port="0" to-layer="543" to-port="4"/>
<edge from-layer="491" from-port="5" to-layer="544" to-port="0"/>
<edge from-layer="543" from-port="5" to-layer="544" to-port="1"/>
<edge from-layer="544" from-port="2" to-layer="546" to-port="0"/>
<edge from-layer="545" from-port="0" to-layer="546" to-port="1"/>
<edge from-layer="546" from-port="2" to-layer="547" to-port="0"/>
<edge from-layer="547" from-port="1" to-layer="548" to-port="0"/>
<edge from-layer="534" from-port="0" to-layer="548" to-port="1"/>
<edge from-layer="535" from-port="0" to-layer="548" to-port="2"/>
<edge from-layer="536" from-port="0" to-layer="548" to-port="3"/>
<edge from-layer="537" from-port="0" to-layer="548" to-port="4"/>
<edge from-layer="553" from-port="0" to-layer="554" to-port="0"/>
<edge from-layer="549" from-port="0" to-layer="554" to-port="1"/>
<edge from-layer="550" from-port="0" to-layer="554" to-port="2"/>
<edge from-layer="551" from-port="0" to-layer="554" to-port="3"/>
<edge from-layer="552" from-port="0" to-layer="554" to-port="4"/>
<edge from-layer="548" from-port="5" to-layer="555" to-port="0"/>
<edge from-layer="554" from-port="5" to-layer="555" to-port="1"/>
<edge from-layer="555" from-port="2" to-layer="557" to-port="0"/>
<edge from-layer="556" from-port="0" to-layer="557" to-port="1"/>
<edge from-layer="557" from-port="2" to-layer="558" to-port="0"/>
<edge from-layer="558" from-port="1" to-layer="559" to-port="0"/>
<edge from-layer="530" from-port="0" to-layer="559" to-port="1"/>
<edge from-layer="531" from-port="0" to-layer="559" to-port="2"/>
<edge from-layer="532" from-port="0" to-layer="559" to-port="3"/>
<edge from-layer="533" from-port="0" to-layer="559" to-port="4"/>
<edge from-layer="572" from-port="0" to-layer="573" to-port="0"/>
<edge from-layer="568" from-port="0" to-layer="573" to-port="1"/>
<edge from-layer="569" from-port="0" to-layer="573" to-port="2"/>
<edge from-layer="570" from-port="0" to-layer="573" to-port="3"/>
<edge from-layer="571" from-port="0" to-layer="573" to-port="4"/>
<edge from-layer="559" from-port="5" to-layer="574" to-port="0"/>
<edge from-layer="573" from-port="5" to-layer="574" to-port="1"/>
<edge from-layer="574" from-port="2" to-layer="576" to-port="0"/>
<edge from-layer="575" from-port="0" to-layer="576" to-port="1"/>
<edge from-layer="576" from-port="2" to-layer="577" to-port="0"/>
<edge from-layer="577" from-port="1" to-layer="578" to-port="0"/>
<edge from-layer="564" from-port="0" to-layer="578" to-port="1"/>
<edge from-layer="565" from-port="0" to-layer="578" to-port="2"/>
<edge from-layer="566" from-port="0" to-layer="578" to-port="3"/>
<edge from-layer="567" from-port="0" to-layer="578" to-port="4"/>
<edge from-layer="583" from-port="0" to-layer="584" to-port="0"/>
<edge from-layer="579" from-port="0" to-layer="584" to-port="1"/>
<edge from-layer="580" from-port="0" to-layer="584" to-port="2"/>
<edge from-layer="581" from-port="0" to-layer="584" to-port="3"/>
<edge from-layer="582" from-port="0" to-layer="584" to-port="4"/>
<edge from-layer="578" from-port="5" to-layer="585" to-port="0"/>
<edge from-layer="584" from-port="5" to-layer="585" to-port="1"/>
<edge from-layer="585" from-port="2" to-layer="587" to-port="0"/>
<edge from-layer="586" from-port="0" to-layer="587" to-port="1"/>
<edge from-layer="587" from-port="2" to-layer="588" to-port="0"/>
<edge from-layer="588" from-port="1" to-layer="589" to-port="0"/>
<edge from-layer="560" from-port="0" to-layer="589" to-port="1"/>
<edge from-layer="561" from-port="0" to-layer="589" to-port="2"/>
<edge from-layer="562" from-port="0" to-layer="589" to-port="3"/>
<edge from-layer="563" from-port="0" to-layer="589" to-port="4"/>
<edge from-layer="559" from-port="5" to-layer="590" to-port="0"/>
<edge from-layer="589" from-port="5" to-layer="590" to-port="1"/>
<edge from-layer="590" from-port="2" to-layer="591" to-port="0"/>
<edge from-layer="526" from-port="0" to-layer="591" to-port="1"/>
<edge from-layer="527" from-port="0" to-layer="591" to-port="2"/>
<edge from-layer="528" from-port="0" to-layer="591" to-port="3"/>
<edge from-layer="529" from-port="0" to-layer="591" to-port="4"/>
<edge from-layer="600" from-port="0" to-layer="601" to-port="0"/>
<edge from-layer="596" from-port="0" to-layer="601" to-port="1"/>
<edge from-layer="597" from-port="0" to-layer="601" to-port="2"/>
<edge from-layer="598" from-port="0" to-layer="601" to-port="3"/>
<edge from-layer="599" from-port="0" to-layer="601" to-port="4"/>
<edge from-layer="548" from-port="5" to-layer="602" to-port="0"/>
<edge from-layer="601" from-port="5" to-layer="602" to-port="1"/>
<edge from-layer="602" from-port="2" to-layer="604" to-port="0"/>
<edge from-layer="603" from-port="0" to-layer="604" to-port="1"/>
<edge from-layer="604" from-port="2" to-layer="605" to-port="0"/>
<edge from-layer="605" from-port="1" to-layer="606" to-port="0"/>
<edge from-layer="592" from-port="0" to-layer="606" to-port="1"/>
<edge from-layer="593" from-port="0" to-layer="606" to-port="2"/>
<edge from-layer="594" from-port="0" to-layer="606" to-port="3"/>
<edge from-layer="595" from-port="0" to-layer="606" to-port="4"/>
<edge from-layer="591" from-port="5" to-layer="607" to-port="0"/>
<edge from-layer="606" from-port="5" to-layer="607" to-port="1"/>
<edge from-layer="607" from-port="2" to-layer="608" to-port="0"/>
<edge from-layer="525" from-port="5" to-layer="608" to-port="1"/>
<edge from-layer="608" from-port="2" to-layer="610" to-port="0"/>
<edge from-layer="609" from-port="0" to-layer="610" to-port="1"/>
<edge from-layer="610" from-port="2" to-layer="611" to-port="0"/>
<edge from-layer="611" from-port="1" to-layer="612" to-port="0"/>
<edge from-layer="516" from-port="0" to-layer="612" to-port="1"/>
<edge from-layer="517" from-port="0" to-layer="612" to-port="2"/>
<edge from-layer="518" from-port="0" to-layer="612" to-port="3"/>
<edge from-layer="519" from-port="0" to-layer="612" to-port="4"/>
<edge from-layer="617" from-port="0" to-layer="618" to-port="0"/>
<edge from-layer="613" from-port="0" to-layer="618" to-port="1"/>
<edge from-layer="614" from-port="0" to-layer="618" to-port="2"/>
<edge from-layer="615" from-port="0" to-layer="618" to-port="3"/>
<edge from-layer="616" from-port="0" to-layer="618" to-port="4"/>
<edge from-layer="612" from-port="5" to-layer="619" to-port="0"/>
<edge from-layer="618" from-port="5" to-layer="619" to-port="1"/>
<edge from-layer="619" from-port="2" to-layer="621" to-port="0"/>
<edge from-layer="620" from-port="0" to-layer="621" to-port="1"/>
<edge from-layer="621" from-port="2" to-layer="622" to-port="0"/>
<edge from-layer="622" from-port="1" to-layer="623" to-port="0"/>
<edge from-layer="512" from-port="0" to-layer="623" to-port="1"/>
<edge from-layer="513" from-port="0" to-layer="623" to-port="2"/>
<edge from-layer="514" from-port="0" to-layer="623" to-port="3"/>
<edge from-layer="515" from-port="0" to-layer="623" to-port="4"/>
<edge from-layer="623" from-port="5" to-layer="624" to-port="0"/>
<edge from-layer="624" from-port="1" to-layer="625" to-port="0"/>
<edge from-layer="625" from-port="1" to-layer="626" to-port="0"/>
<edge from-layer="623" from-port="5" to-layer="627" to-port="0"/>
<edge from-layer="624" from-port="1" to-layer="627" to-port="1"/>
<edge from-layer="625" from-port="1" to-layer="627" to-port="2"/>
<edge from-layer="626" from-port="1" to-layer="627" to-port="3"/>
<edge from-layer="627" from-port="4" to-layer="628" to-port="0"/>
<edge from-layer="511" from-port="5" to-layer="628" to-port="1"/>
<edge from-layer="628" from-port="2" to-layer="630" to-port="0"/>
<edge from-layer="629" from-port="0" to-layer="630" to-port="1"/>
<edge from-layer="630" from-port="2" to-layer="631" to-port="0"/>
<edge from-layer="631" from-port="1" to-layer="632" to-port="0"/>
<edge from-layer="502" from-port="0" to-layer="632" to-port="1"/>
<edge from-layer="503" from-port="0" to-layer="632" to-port="2"/>
<edge from-layer="504" from-port="0" to-layer="632" to-port="3"/>
<edge from-layer="505" from-port="0" to-layer="632" to-port="4"/>
<edge from-layer="637" from-port="0" to-layer="638" to-port="0"/>
<edge from-layer="633" from-port="0" to-layer="638" to-port="1"/>
<edge from-layer="634" from-port="0" to-layer="638" to-port="2"/>
<edge from-layer="635" from-port="0" to-layer="638" to-port="3"/>
<edge from-layer="636" from-port="0" to-layer="638" to-port="4"/>
<edge from-layer="632" from-port="5" to-layer="639" to-port="0"/>
<edge from-layer="638" from-port="5" to-layer="639" to-port="1"/>
<edge from-layer="639" from-port="2" to-layer="641" to-port="0"/>
<edge from-layer="640" from-port="0" to-layer="641" to-port="1"/>
<edge from-layer="641" from-port="2" to-layer="642" to-port="0"/>
<edge from-layer="642" from-port="1" to-layer="643" to-port="0"/>
<edge from-layer="498" from-port="0" to-layer="643" to-port="1"/>
<edge from-layer="499" from-port="0" to-layer="643" to-port="2"/>
<edge from-layer="500" from-port="0" to-layer="643" to-port="3"/>
<edge from-layer="501" from-port="0" to-layer="643" to-port="4"/>
<edge from-layer="642" from-port="1" to-layer="644" to-port="0"/>
<edge from-layer="644" from-port="1" to-layer="645" to-port="0"/>
<edge from-layer="645" from-port="1" to-layer="647" to-port="0"/>
<edge from-layer="646" from-port="0" to-layer="647" to-port="1"/>
<edge from-layer="647" from-port="2" to-layer="649" to-port="0"/>
<edge from-layer="648" from-port="0" to-layer="649" to-port="1"/>
<edge from-layer="649" from-port="2" to-layer="650" to-port="0"/>
<edge from-layer="650" from-port="1" to-layer="651" to-port="0"/>
<edge from-layer="651" from-port="1" to-layer="655" to-port="0"/>
<edge from-layer="652" from-port="0" to-layer="655" to-port="1"/>
<edge from-layer="653" from-port="0" to-layer="655" to-port="2"/>
<edge from-layer="654" from-port="0" to-layer="655" to-port="3"/>
<edge from-layer="643" from-port="5" to-layer="656" to-port="0"/>
<edge from-layer="655" from-port="4" to-layer="656" to-port="1"/>
<edge from-layer="496" from-port="0" to-layer="656" to-port="2"/>
<edge from-layer="497" from-port="0" to-layer="656" to-port="3"/>
<edge from-layer="656" from-port="4" to-layer="657" to-port="0"/>
<edge from-layer="492" from-port="0" to-layer="657" to-port="1"/>
<edge from-layer="493" from-port="0" to-layer="657" to-port="2"/>
<edge from-layer="494" from-port="0" to-layer="657" to-port="3"/>
<edge from-layer="495" from-port="0" to-layer="657" to-port="4"/>
<edge from-layer="657" from-port="5" to-layer="658" to-port="0"/>
<edge from-layer="491" from-port="5" to-layer="658" to-port="1"/>
<edge from-layer="658" from-port="2" to-layer="659" to-port="0"/>
<edge from-layer="322" from-port="5" to-layer="659" to-port="1"/>
<edge from-layer="659" from-port="2" to-layer="661" to-port="0"/>
<edge from-layer="660" from-port="0" to-layer="661" to-port="1"/>
<edge from-layer="661" from-port="2" to-layer="662" to-port="0"/>
<edge from-layer="662" from-port="1" to-layer="663" to-port="0"/>
<edge from-layer="313" from-port="0" to-layer="663" to-port="1"/>
<edge from-layer="314" from-port="0" to-layer="663" to-port="2"/>
<edge from-layer="315" from-port="0" to-layer="663" to-port="3"/>
<edge from-layer="316" from-port="0" to-layer="663" to-port="4"/>
<edge from-layer="668" from-port="0" to-layer="669" to-port="0"/>
<edge from-layer="664" from-port="0" to-layer="669" to-port="1"/>
<edge from-layer="665" from-port="0" to-layer="669" to-port="2"/>
<edge from-layer="666" from-port="0" to-layer="669" to-port="3"/>
<edge from-layer="667" from-port="0" to-layer="669" to-port="4"/>
<edge from-layer="663" from-port="5" to-layer="670" to-port="0"/>
<edge from-layer="669" from-port="5" to-layer="670" to-port="1"/>
<edge from-layer="670" from-port="2" to-layer="672" to-port="0"/>
<edge from-layer="671" from-port="0" to-layer="672" to-port="1"/>
<edge from-layer="672" from-port="2" to-layer="673" to-port="0"/>
<edge from-layer="673" from-port="1" to-layer="674" to-port="0"/>
<edge from-layer="309" from-port="0" to-layer="674" to-port="1"/>
<edge from-layer="310" from-port="0" to-layer="674" to-port="2"/>
<edge from-layer="311" from-port="0" to-layer="674" to-port="3"/>
<edge from-layer="312" from-port="0" to-layer="674" to-port="4"/>
<edge from-layer="679" from-port="0" to-layer="680" to-port="0"/>
<edge from-layer="675" from-port="0" to-layer="680" to-port="1"/>
<edge from-layer="676" from-port="0" to-layer="680" to-port="2"/>
<edge from-layer="677" from-port="0" to-layer="680" to-port="3"/>
<edge from-layer="678" from-port="0" to-layer="680" to-port="4"/>
<edge from-layer="674" from-port="5" to-layer="681" to-port="0"/>
<edge from-layer="680" from-port="5" to-layer="681" to-port="1"/>
<edge from-layer="681" from-port="2" to-layer="683" to-port="0"/>
<edge from-layer="682" from-port="0" to-layer="683" to-port="1"/>
<edge from-layer="683" from-port="2" to-layer="684" to-port="0"/>
<edge from-layer="684" from-port="1" to-layer="685" to-port="0"/>
<edge from-layer="305" from-port="0" to-layer="685" to-port="1"/>
<edge from-layer="306" from-port="0" to-layer="685" to-port="2"/>
<edge from-layer="307" from-port="0" to-layer="685" to-port="3"/>
<edge from-layer="308" from-port="0" to-layer="685" to-port="4"/>
<edge from-layer="694" from-port="0" to-layer="695" to-port="0"/>
<edge from-layer="690" from-port="0" to-layer="695" to-port="1"/>
<edge from-layer="691" from-port="0" to-layer="695" to-port="2"/>
<edge from-layer="692" from-port="0" to-layer="695" to-port="3"/>
<edge from-layer="693" from-port="0" to-layer="695" to-port="4"/>
<edge from-layer="658" from-port="2" to-layer="696" to-port="0"/>
<edge from-layer="695" from-port="5" to-layer="696" to-port="1"/>
<edge from-layer="696" from-port="2" to-layer="698" to-port="0"/>
<edge from-layer="697" from-port="0" to-layer="698" to-port="1"/>
<edge from-layer="698" from-port="2" to-layer="699" to-port="0"/>
<edge from-layer="699" from-port="1" to-layer="700" to-port="0"/>
<edge from-layer="686" from-port="0" to-layer="700" to-port="1"/>
<edge from-layer="687" from-port="0" to-layer="700" to-port="2"/>
<edge from-layer="688" from-port="0" to-layer="700" to-port="3"/>
<edge from-layer="689" from-port="0" to-layer="700" to-port="4"/>
<edge from-layer="685" from-port="5" to-layer="701" to-port="0"/>
<edge from-layer="700" from-port="5" to-layer="701" to-port="1"/>
<edge from-layer="701" from-port="2" to-layer="702" to-port="0"/>
<edge from-layer="304" from-port="5" to-layer="702" to-port="1"/>
<edge from-layer="702" from-port="2" to-layer="704" to-port="0"/>
<edge from-layer="703" from-port="0" to-layer="704" to-port="1"/>
<edge from-layer="704" from-port="2" to-layer="705" to-port="0"/>
<edge from-layer="705" from-port="1" to-layer="706" to-port="0"/>
<edge from-layer="295" from-port="0" to-layer="706" to-port="1"/>
<edge from-layer="296" from-port="0" to-layer="706" to-port="2"/>
<edge from-layer="297" from-port="0" to-layer="706" to-port="3"/>
<edge from-layer="298" from-port="0" to-layer="706" to-port="4"/>
<edge from-layer="711" from-port="0" to-layer="712" to-port="0"/>
<edge from-layer="707" from-port="0" to-layer="712" to-port="1"/>
<edge from-layer="708" from-port="0" to-layer="712" to-port="2"/>
<edge from-layer="709" from-port="0" to-layer="712" to-port="3"/>
<edge from-layer="710" from-port="0" to-layer="712" to-port="4"/>
<edge from-layer="706" from-port="5" to-layer="713" to-port="0"/>
<edge from-layer="712" from-port="5" to-layer="713" to-port="1"/>
<edge from-layer="713" from-port="2" to-layer="715" to-port="0"/>
<edge from-layer="714" from-port="0" to-layer="715" to-port="1"/>
<edge from-layer="715" from-port="2" to-layer="716" to-port="0"/>
<edge from-layer="716" from-port="1" to-layer="717" to-port="0"/>
<edge from-layer="291" from-port="0" to-layer="717" to-port="1"/>
<edge from-layer="292" from-port="0" to-layer="717" to-port="2"/>
<edge from-layer="293" from-port="0" to-layer="717" to-port="3"/>
<edge from-layer="294" from-port="0" to-layer="717" to-port="4"/>
<edge from-layer="716" from-port="1" to-layer="718" to-port="0"/>
<edge from-layer="718" from-port="1" to-layer="719" to-port="0"/>
<edge from-layer="719" from-port="1" to-layer="721" to-port="0"/>
<edge from-layer="720" from-port="0" to-layer="721" to-port="1"/>
<edge from-layer="721" from-port="2" to-layer="723" to-port="0"/>
<edge from-layer="722" from-port="0" to-layer="723" to-port="1"/>
<edge from-layer="723" from-port="2" to-layer="724" to-port="0"/>
<edge from-layer="724" from-port="1" to-layer="725" to-port="0"/>
<edge from-layer="725" from-port="1" to-layer="729" to-port="0"/>
<edge from-layer="726" from-port="0" to-layer="729" to-port="1"/>
<edge from-layer="727" from-port="0" to-layer="729" to-port="2"/>
<edge from-layer="728" from-port="0" to-layer="729" to-port="3"/>
<edge from-layer="717" from-port="5" to-layer="730" to-port="0"/>
<edge from-layer="729" from-port="4" to-layer="730" to-port="1"/>
<edge from-layer="289" from-port="0" to-layer="730" to-port="2"/>
<edge from-layer="290" from-port="0" to-layer="730" to-port="3"/>
<edge from-layer="730" from-port="4" to-layer="731" to-port="0"/>
<edge from-layer="285" from-port="0" to-layer="731" to-port="1"/>
<edge from-layer="286" from-port="0" to-layer="731" to-port="2"/>
<edge from-layer="287" from-port="0" to-layer="731" to-port="3"/>
<edge from-layer="288" from-port="0" to-layer="731" to-port="4"/>
<edge from-layer="731" from-port="5" to-layer="732" to-port="0"/>
<edge from-layer="284" from-port="5" to-layer="732" to-port="1"/>
<edge from-layer="732" from-port="2" to-layer="733" to-port="0"/>
<edge from-layer="33" from-port="5" to-layer="733" to-port="1"/>
<edge from-layer="733" from-port="2" to-layer="735" to-port="0"/>
<edge from-layer="734" from-port="0" to-layer="735" to-port="1"/>
<edge from-layer="735" from-port="2" to-layer="736" to-port="0"/>
<edge from-layer="736" from-port="1" to-layer="737" to-port="0"/>
<edge from-layer="24" from-port="0" to-layer="737" to-port="1"/>
<edge from-layer="25" from-port="0" to-layer="737" to-port="2"/>
<edge from-layer="26" from-port="0" to-layer="737" to-port="3"/>
<edge from-layer="27" from-port="0" to-layer="737" to-port="4"/>
<edge from-layer="742" from-port="0" to-layer="743" to-port="0"/>
<edge from-layer="738" from-port="0" to-layer="743" to-port="1"/>
<edge from-layer="739" from-port="0" to-layer="743" to-port="2"/>
<edge from-layer="740" from-port="0" to-layer="743" to-port="3"/>
<edge from-layer="741" from-port="0" to-layer="743" to-port="4"/>
<edge from-layer="737" from-port="5" to-layer="744" to-port="0"/>
<edge from-layer="743" from-port="5" to-layer="744" to-port="1"/>
<edge from-layer="744" from-port="2" to-layer="746" to-port="0"/>
<edge from-layer="745" from-port="0" to-layer="746" to-port="1"/>
<edge from-layer="746" from-port="2" to-layer="747" to-port="0"/>
<edge from-layer="747" from-port="1" to-layer="748" to-port="0"/>
<edge from-layer="20" from-port="0" to-layer="748" to-port="1"/>
<edge from-layer="21" from-port="0" to-layer="748" to-port="2"/>
<edge from-layer="22" from-port="0" to-layer="748" to-port="3"/>
<edge from-layer="23" from-port="0" to-layer="748" to-port="4"/>
<edge from-layer="753" from-port="0" to-layer="754" to-port="0"/>
<edge from-layer="749" from-port="0" to-layer="754" to-port="1"/>
<edge from-layer="750" from-port="0" to-layer="754" to-port="2"/>
<edge from-layer="751" from-port="0" to-layer="754" to-port="3"/>
<edge from-layer="752" from-port="0" to-layer="754" to-port="4"/>
<edge from-layer="748" from-port="5" to-layer="755" to-port="0"/>
<edge from-layer="754" from-port="5" to-layer="755" to-port="1"/>
<edge from-layer="755" from-port="2" to-layer="757" to-port="0"/>
<edge from-layer="756" from-port="0" to-layer="757" to-port="1"/>
<edge from-layer="757" from-port="2" to-layer="758" to-port="0"/>
<edge from-layer="758" from-port="1" to-layer="759" to-port="0"/>
<edge from-layer="16" from-port="0" to-layer="759" to-port="1"/>
<edge from-layer="17" from-port="0" to-layer="759" to-port="2"/>
<edge from-layer="18" from-port="0" to-layer="759" to-port="3"/>
<edge from-layer="19" from-port="0" to-layer="759" to-port="4"/>
<edge from-layer="768" from-port="0" to-layer="769" to-port="0"/>
<edge from-layer="764" from-port="0" to-layer="769" to-port="1"/>
<edge from-layer="765" from-port="0" to-layer="769" to-port="2"/>
<edge from-layer="766" from-port="0" to-layer="769" to-port="3"/>
<edge from-layer="767" from-port="0" to-layer="769" to-port="4"/>
<edge from-layer="732" from-port="2" to-layer="770" to-port="0"/>
<edge from-layer="769" from-port="5" to-layer="770" to-port="1"/>
<edge from-layer="770" from-port="2" to-layer="772" to-port="0"/>
<edge from-layer="771" from-port="0" to-layer="772" to-port="1"/>
<edge from-layer="772" from-port="2" to-layer="773" to-port="0"/>
<edge from-layer="773" from-port="1" to-layer="774" to-port="0"/>
<edge from-layer="760" from-port="0" to-layer="774" to-port="1"/>
<edge from-layer="761" from-port="0" to-layer="774" to-port="2"/>
<edge from-layer="762" from-port="0" to-layer="774" to-port="3"/>
<edge from-layer="763" from-port="0" to-layer="774" to-port="4"/>
<edge from-layer="759" from-port="5" to-layer="775" to-port="0"/>
<edge from-layer="774" from-port="5" to-layer="775" to-port="1"/>
<edge from-layer="775" from-port="2" to-layer="776" to-port="0"/>
<edge from-layer="15" from-port="5" to-layer="776" to-port="1"/>
<edge from-layer="776" from-port="2" to-layer="778" to-port="0"/>
<edge from-layer="777" from-port="0" to-layer="778" to-port="1"/>
<edge from-layer="778" from-port="2" to-layer="779" to-port="0"/>
<edge from-layer="779" from-port="1" to-layer="780" to-port="0"/>
<edge from-layer="6" from-port="0" to-layer="780" to-port="1"/>
<edge from-layer="7" from-port="0" to-layer="780" to-port="2"/>
<edge from-layer="8" from-port="0" to-layer="780" to-port="3"/>
<edge from-layer="9" from-port="0" to-layer="780" to-port="4"/>
<edge from-layer="780" from-port="5" to-layer="781" to-port="0"/>
<edge from-layer="5" from-port="5" to-layer="781" to-port="1"/>
<edge from-layer="781" from-port="2" to-layer="783" to-port="0"/>
<edge from-layer="782" from-port="0" to-layer="783" to-port="1"/>
<edge from-layer="783" from-port="2" to-layer="785" to-port="0"/>
<edge from-layer="784" from-port="0" to-layer="785" to-port="1"/>
<edge from-layer="785" from-port="2" to-layer="787" to-port="0"/>
<edge from-layer="786" from-port="0" to-layer="787" to-port="1"/>
<edge from-layer="787" from-port="2" to-layer="788" to-port="0"/>
<edge from-layer="793" from-port="0" to-layer="794" to-port="0"/>
<edge from-layer="789" from-port="0" to-layer="794" to-port="1"/>
<edge from-layer="790" from-port="0" to-layer="794" to-port="2"/>
<edge from-layer="791" from-port="0" to-layer="794" to-port="3"/>
<edge from-layer="792" from-port="0" to-layer="794" to-port="4"/>
<edge from-layer="803" from-port="0" to-layer="804" to-port="0"/>
<edge from-layer="799" from-port="0" to-layer="804" to-port="1"/>
<edge from-layer="800" from-port="0" to-layer="804" to-port="2"/>
<edge from-layer="801" from-port="0" to-layer="804" to-port="3"/>
<edge from-layer="802" from-port="0" to-layer="804" to-port="4"/>
<edge from-layer="821" from-port="0" to-layer="822" to-port="0"/>
<edge from-layer="817" from-port="0" to-layer="822" to-port="1"/>
<edge from-layer="818" from-port="0" to-layer="822" to-port="2"/>
<edge from-layer="819" from-port="0" to-layer="822" to-port="3"/>
<edge from-layer="820" from-port="0" to-layer="822" to-port="4"/>
<edge from-layer="831" from-port="0" to-layer="832" to-port="0"/>
<edge from-layer="827" from-port="0" to-layer="832" to-port="1"/>
<edge from-layer="828" from-port="0" to-layer="832" to-port="2"/>
<edge from-layer="829" from-port="0" to-layer="832" to-port="3"/>
<edge from-layer="830" from-port="0" to-layer="832" to-port="4"/>
<edge from-layer="780" from-port="5" to-layer="833" to-port="0"/>
<edge from-layer="832" from-port="5" to-layer="833" to-port="1"/>
<edge from-layer="833" from-port="2" to-layer="835" to-port="0"/>
<edge from-layer="834" from-port="0" to-layer="835" to-port="1"/>
<edge from-layer="835" from-port="2" to-layer="836" to-port="0"/>
<edge from-layer="836" from-port="1" to-layer="837" to-port="0"/>
<edge from-layer="823" from-port="0" to-layer="837" to-port="1"/>
<edge from-layer="824" from-port="0" to-layer="837" to-port="2"/>
<edge from-layer="825" from-port="0" to-layer="837" to-port="3"/>
<edge from-layer="826" from-port="0" to-layer="837" to-port="4"/>
<edge from-layer="837" from-port="5" to-layer="838" to-port="0"/>
<edge from-layer="717" from-port="5" to-layer="838" to-port="1"/>
<edge from-layer="838" from-port="2" to-layer="839" to-port="0"/>
<edge from-layer="822" from-port="5" to-layer="839" to-port="1"/>
<edge from-layer="839" from-port="2" to-layer="841" to-port="0"/>
<edge from-layer="840" from-port="0" to-layer="841" to-port="1"/>
<edge from-layer="841" from-port="2" to-layer="842" to-port="0"/>
<edge from-layer="842" from-port="1" to-layer="843" to-port="0"/>
<edge from-layer="813" from-port="0" to-layer="843" to-port="1"/>
<edge from-layer="814" from-port="0" to-layer="843" to-port="2"/>
<edge from-layer="815" from-port="0" to-layer="843" to-port="3"/>
<edge from-layer="816" from-port="0" to-layer="843" to-port="4"/>
<edge from-layer="848" from-port="0" to-layer="849" to-port="0"/>
<edge from-layer="844" from-port="0" to-layer="849" to-port="1"/>
<edge from-layer="845" from-port="0" to-layer="849" to-port="2"/>
<edge from-layer="846" from-port="0" to-layer="849" to-port="3"/>
<edge from-layer="847" from-port="0" to-layer="849" to-port="4"/>
<edge from-layer="843" from-port="5" to-layer="850" to-port="0"/>
<edge from-layer="849" from-port="5" to-layer="850" to-port="1"/>
<edge from-layer="850" from-port="2" to-layer="852" to-port="0"/>
<edge from-layer="851" from-port="0" to-layer="852" to-port="1"/>
<edge from-layer="852" from-port="2" to-layer="853" to-port="0"/>
<edge from-layer="853" from-port="1" to-layer="854" to-port="0"/>
<edge from-layer="809" from-port="0" to-layer="854" to-port="1"/>
<edge from-layer="810" from-port="0" to-layer="854" to-port="2"/>
<edge from-layer="811" from-port="0" to-layer="854" to-port="3"/>
<edge from-layer="812" from-port="0" to-layer="854" to-port="4"/>
<edge from-layer="859" from-port="0" to-layer="860" to-port="0"/>
<edge from-layer="855" from-port="0" to-layer="860" to-port="1"/>
<edge from-layer="856" from-port="0" to-layer="860" to-port="2"/>
<edge from-layer="857" from-port="0" to-layer="860" to-port="3"/>
<edge from-layer="858" from-port="0" to-layer="860" to-port="4"/>
<edge from-layer="854" from-port="5" to-layer="861" to-port="0"/>
<edge from-layer="860" from-port="5" to-layer="861" to-port="1"/>
<edge from-layer="861" from-port="2" to-layer="863" to-port="0"/>
<edge from-layer="862" from-port="0" to-layer="863" to-port="1"/>
<edge from-layer="863" from-port="2" to-layer="864" to-port="0"/>
<edge from-layer="864" from-port="1" to-layer="865" to-port="0"/>
<edge from-layer="805" from-port="0" to-layer="865" to-port="1"/>
<edge from-layer="806" from-port="0" to-layer="865" to-port="2"/>
<edge from-layer="807" from-port="0" to-layer="865" to-port="3"/>
<edge from-layer="808" from-port="0" to-layer="865" to-port="4"/>
<edge from-layer="874" from-port="0" to-layer="875" to-port="0"/>
<edge from-layer="870" from-port="0" to-layer="875" to-port="1"/>
<edge from-layer="871" from-port="0" to-layer="875" to-port="2"/>
<edge from-layer="872" from-port="0" to-layer="875" to-port="3"/>
<edge from-layer="873" from-port="0" to-layer="875" to-port="4"/>
<edge from-layer="838" from-port="2" to-layer="876" to-port="0"/>
<edge from-layer="875" from-port="5" to-layer="876" to-port="1"/>
<edge from-layer="876" from-port="2" to-layer="878" to-port="0"/>
<edge from-layer="877" from-port="0" to-layer="878" to-port="1"/>
<edge from-layer="878" from-port="2" to-layer="879" to-port="0"/>
<edge from-layer="879" from-port="1" to-layer="880" to-port="0"/>
<edge from-layer="866" from-port="0" to-layer="880" to-port="1"/>
<edge from-layer="867" from-port="0" to-layer="880" to-port="2"/>
<edge from-layer="868" from-port="0" to-layer="880" to-port="3"/>
<edge from-layer="869" from-port="0" to-layer="880" to-port="4"/>
<edge from-layer="865" from-port="5" to-layer="881" to-port="0"/>
<edge from-layer="880" from-port="5" to-layer="881" to-port="1"/>
<edge from-layer="881" from-port="2" to-layer="882" to-port="0"/>
<edge from-layer="804" from-port="5" to-layer="882" to-port="1"/>
<edge from-layer="882" from-port="2" to-layer="884" to-port="0"/>
<edge from-layer="883" from-port="0" to-layer="884" to-port="1"/>
<edge from-layer="884" from-port="2" to-layer="885" to-port="0"/>
<edge from-layer="885" from-port="1" to-layer="886" to-port="0"/>
<edge from-layer="795" from-port="0" to-layer="886" to-port="1"/>
<edge from-layer="796" from-port="0" to-layer="886" to-port="2"/>
<edge from-layer="797" from-port="0" to-layer="886" to-port="3"/>
<edge from-layer="798" from-port="0" to-layer="886" to-port="4"/>
<edge from-layer="886" from-port="5" to-layer="887" to-port="0"/>
<edge from-layer="794" from-port="5" to-layer="887" to-port="1"/>
<edge from-layer="887" from-port="2" to-layer="889" to-port="0"/>
<edge from-layer="888" from-port="0" to-layer="889" to-port="1"/>
<edge from-layer="889" from-port="2" to-layer="891" to-port="0"/>
<edge from-layer="890" from-port="0" to-layer="891" to-port="1"/>
<edge from-layer="891" from-port="2" to-layer="893" to-port="0"/>
<edge from-layer="892" from-port="0" to-layer="893" to-port="1"/>
<edge from-layer="893" from-port="2" to-layer="894" to-port="0"/>
<edge from-layer="903" from-port="0" to-layer="904" to-port="0"/>
<edge from-layer="899" from-port="0" to-layer="904" to-port="1"/>
<edge from-layer="900" from-port="0" to-layer="904" to-port="2"/>
<edge from-layer="901" from-port="0" to-layer="904" to-port="3"/>
<edge from-layer="902" from-port="0" to-layer="904" to-port="4"/>
<edge from-layer="921" from-port="0" to-layer="922" to-port="0"/>
<edge from-layer="917" from-port="0" to-layer="922" to-port="1"/>
<edge from-layer="918" from-port="0" to-layer="922" to-port="2"/>
<edge from-layer="919" from-port="0" to-layer="922" to-port="3"/>
<edge from-layer="920" from-port="0" to-layer="922" to-port="4"/>
<edge from-layer="931" from-port="0" to-layer="932" to-port="0"/>
<edge from-layer="927" from-port="0" to-layer="932" to-port="1"/>
<edge from-layer="928" from-port="0" to-layer="932" to-port="2"/>
<edge from-layer="929" from-port="0" to-layer="932" to-port="3"/>
<edge from-layer="930" from-port="0" to-layer="932" to-port="4"/>
<edge from-layer="886" from-port="5" to-layer="933" to-port="0"/>
<edge from-layer="932" from-port="5" to-layer="933" to-port="1"/>
<edge from-layer="933" from-port="2" to-layer="935" to-port="0"/>
<edge from-layer="934" from-port="0" to-layer="935" to-port="1"/>
<edge from-layer="935" from-port="2" to-layer="936" to-port="0"/>
<edge from-layer="936" from-port="1" to-layer="937" to-port="0"/>
<edge from-layer="923" from-port="0" to-layer="937" to-port="1"/>
<edge from-layer="924" from-port="0" to-layer="937" to-port="2"/>
<edge from-layer="925" from-port="0" to-layer="937" to-port="3"/>
<edge from-layer="926" from-port="0" to-layer="937" to-port="4"/>
<edge from-layer="937" from-port="5" to-layer="938" to-port="0"/>
<edge from-layer="643" from-port="5" to-layer="938" to-port="1"/>
<edge from-layer="938" from-port="2" to-layer="939" to-port="0"/>
<edge from-layer="922" from-port="5" to-layer="939" to-port="1"/>
<edge from-layer="939" from-port="2" to-layer="941" to-port="0"/>
<edge from-layer="940" from-port="0" to-layer="941" to-port="1"/>
<edge from-layer="941" from-port="2" to-layer="942" to-port="0"/>
<edge from-layer="942" from-port="1" to-layer="943" to-port="0"/>
<edge from-layer="913" from-port="0" to-layer="943" to-port="1"/>
<edge from-layer="914" from-port="0" to-layer="943" to-port="2"/>
<edge from-layer="915" from-port="0" to-layer="943" to-port="3"/>
<edge from-layer="916" from-port="0" to-layer="943" to-port="4"/>
<edge from-layer="948" from-port="0" to-layer="949" to-port="0"/>
<edge from-layer="944" from-port="0" to-layer="949" to-port="1"/>
<edge from-layer="945" from-port="0" to-layer="949" to-port="2"/>
<edge from-layer="946" from-port="0" to-layer="949" to-port="3"/>
<edge from-layer="947" from-port="0" to-layer="949" to-port="4"/>
<edge from-layer="943" from-port="5" to-layer="950" to-port="0"/>
<edge from-layer="949" from-port="5" to-layer="950" to-port="1"/>
<edge from-layer="950" from-port="2" to-layer="952" to-port="0"/>
<edge from-layer="951" from-port="0" to-layer="952" to-port="1"/>
<edge from-layer="952" from-port="2" to-layer="953" to-port="0"/>
<edge from-layer="953" from-port="1" to-layer="954" to-port="0"/>
<edge from-layer="909" from-port="0" to-layer="954" to-port="1"/>
<edge from-layer="910" from-port="0" to-layer="954" to-port="2"/>
<edge from-layer="911" from-port="0" to-layer="954" to-port="3"/>
<edge from-layer="912" from-port="0" to-layer="954" to-port="4"/>
<edge from-layer="959" from-port="0" to-layer="960" to-port="0"/>
<edge from-layer="955" from-port="0" to-layer="960" to-port="1"/>
<edge from-layer="956" from-port="0" to-layer="960" to-port="2"/>
<edge from-layer="957" from-port="0" to-layer="960" to-port="3"/>
<edge from-layer="958" from-port="0" to-layer="960" to-port="4"/>
<edge from-layer="954" from-port="5" to-layer="961" to-port="0"/>
<edge from-layer="960" from-port="5" to-layer="961" to-port="1"/>
<edge from-layer="961" from-port="2" to-layer="963" to-port="0"/>
<edge from-layer="962" from-port="0" to-layer="963" to-port="1"/>
<edge from-layer="963" from-port="2" to-layer="964" to-port="0"/>
<edge from-layer="964" from-port="1" to-layer="965" to-port="0"/>
<edge from-layer="905" from-port="0" to-layer="965" to-port="1"/>
<edge from-layer="906" from-port="0" to-layer="965" to-port="2"/>
<edge from-layer="907" from-port="0" to-layer="965" to-port="3"/>
<edge from-layer="908" from-port="0" to-layer="965" to-port="4"/>
<edge from-layer="974" from-port="0" to-layer="975" to-port="0"/>
<edge from-layer="970" from-port="0" to-layer="975" to-port="1"/>
<edge from-layer="971" from-port="0" to-layer="975" to-port="2"/>
<edge from-layer="972" from-port="0" to-layer="975" to-port="3"/>
<edge from-layer="973" from-port="0" to-layer="975" to-port="4"/>
<edge from-layer="938" from-port="2" to-layer="976" to-port="0"/>
<edge from-layer="975" from-port="5" to-layer="976" to-port="1"/>
<edge from-layer="976" from-port="2" to-layer="978" to-port="0"/>
<edge from-layer="977" from-port="0" to-layer="978" to-port="1"/>
<edge from-layer="978" from-port="2" to-layer="979" to-port="0"/>
<edge from-layer="979" from-port="1" to-layer="980" to-port="0"/>
<edge from-layer="966" from-port="0" to-layer="980" to-port="1"/>
<edge from-layer="967" from-port="0" to-layer="980" to-port="2"/>
<edge from-layer="968" from-port="0" to-layer="980" to-port="3"/>
<edge from-layer="969" from-port="0" to-layer="980" to-port="4"/>
<edge from-layer="965" from-port="5" to-layer="981" to-port="0"/>
<edge from-layer="980" from-port="5" to-layer="981" to-port="1"/>
<edge from-layer="981" from-port="2" to-layer="982" to-port="0"/>
<edge from-layer="904" from-port="5" to-layer="982" to-port="1"/>
<edge from-layer="982" from-port="2" to-layer="984" to-port="0"/>
<edge from-layer="983" from-port="0" to-layer="984" to-port="1"/>
<edge from-layer="984" from-port="2" to-layer="985" to-port="0"/>
<edge from-layer="985" from-port="1" to-layer="986" to-port="0"/>
<edge from-layer="895" from-port="0" to-layer="986" to-port="1"/>
<edge from-layer="896" from-port="0" to-layer="986" to-port="2"/>
<edge from-layer="897" from-port="0" to-layer="986" to-port="3"/>
<edge from-layer="898" from-port="0" to-layer="986" to-port="4"/>
<edge from-layer="991" from-port="0" to-layer="992" to-port="0"/>
<edge from-layer="987" from-port="0" to-layer="992" to-port="1"/>
<edge from-layer="988" from-port="0" to-layer="992" to-port="2"/>
<edge from-layer="989" from-port="0" to-layer="992" to-port="3"/>
<edge from-layer="990" from-port="0" to-layer="992" to-port="4"/>
<edge from-layer="986" from-port="5" to-layer="993" to-port="0"/>
<edge from-layer="992" from-port="5" to-layer="993" to-port="1"/>
<edge from-layer="993" from-port="2" to-layer="995" to-port="0"/>
<edge from-layer="994" from-port="0" to-layer="995" to-port="1"/>
<edge from-layer="995" from-port="2" to-layer="997" to-port="0"/>
<edge from-layer="996" from-port="0" to-layer="997" to-port="1"/>
<edge from-layer="997" from-port="2" to-layer="999" to-port="0"/>
<edge from-layer="998" from-port="0" to-layer="999" to-port="1"/>
<edge from-layer="999" from-port="2" to-layer="1000" to-port="0"/>
<edge from-layer="787" from-port="2" to-layer="1001" to-port="0"/>
<edge from-layer="1001" from-port="1" to-layer="1004" to-port="0"/>
<edge from-layer="1002" from-port="0" to-layer="1004" to-port="1"/>
<edge from-layer="1003" from-port="0" to-layer="1004" to-port="2"/>
<edge from-layer="1004" from-port="3" to-layer="1014" to-port="0"/>
<edge from-layer="1010" from-port="0" to-layer="1014" to-port="1"/>
<edge from-layer="1011" from-port="0" to-layer="1014" to-port="2"/>
<edge from-layer="1012" from-port="0" to-layer="1014" to-port="3"/>
<edge from-layer="1013" from-port="0" to-layer="1014" to-port="4"/>
<edge from-layer="1014" from-port="5" to-layer="1015" to-port="0"/>
<edge from-layer="1009" from-port="0" to-layer="1015" to-port="1"/>
<edge from-layer="1015" from-port="2" to-layer="1017" to-port="0"/>
<edge from-layer="1016" from-port="0" to-layer="1017" to-port="1"/>
<edge from-layer="1017" from-port="2" to-layer="1019" to-port="0"/>
<edge from-layer="1018" from-port="0" to-layer="1019" to-port="1"/>
<edge from-layer="1019" from-port="2" to-layer="1020" to-port="0"/>
<edge from-layer="1005" from-port="0" to-layer="1020" to-port="1"/>
<edge from-layer="1006" from-port="0" to-layer="1020" to-port="2"/>
<edge from-layer="1007" from-port="0" to-layer="1020" to-port="3"/>
<edge from-layer="1008" from-port="0" to-layer="1020" to-port="4"/>
<edge from-layer="1025" from-port="0" to-layer="1026" to-port="0"/>
<edge from-layer="1021" from-port="0" to-layer="1026" to-port="1"/>
<edge from-layer="1022" from-port="0" to-layer="1026" to-port="2"/>
<edge from-layer="1023" from-port="0" to-layer="1026" to-port="3"/>
<edge from-layer="1024" from-port="0" to-layer="1026" to-port="4"/>
<edge from-layer="1020" from-port="5" to-layer="1027" to-port="0"/>
<edge from-layer="1026" from-port="5" to-layer="1027" to-port="1"/>
<edge from-layer="1004" from-port="4" to-layer="1041" to-port="0"/>
<edge from-layer="1037" from-port="0" to-layer="1041" to-port="1"/>
<edge from-layer="1038" from-port="0" to-layer="1041" to-port="2"/>
<edge from-layer="1039" from-port="0" to-layer="1041" to-port="3"/>
<edge from-layer="1040" from-port="0" to-layer="1041" to-port="4"/>
<edge from-layer="1046" from-port="0" to-layer="1047" to-port="0"/>
<edge from-layer="1042" from-port="0" to-layer="1047" to-port="1"/>
<edge from-layer="1043" from-port="0" to-layer="1047" to-port="2"/>
<edge from-layer="1044" from-port="0" to-layer="1047" to-port="3"/>
<edge from-layer="1045" from-port="0" to-layer="1047" to-port="4"/>
<edge from-layer="1041" from-port="5" to-layer="1048" to-port="0"/>
<edge from-layer="1047" from-port="5" to-layer="1048" to-port="1"/>
<edge from-layer="1048" from-port="2" to-layer="1049" to-port="0"/>
<edge from-layer="1033" from-port="0" to-layer="1049" to-port="1"/>
<edge from-layer="1034" from-port="0" to-layer="1049" to-port="2"/>
<edge from-layer="1035" from-port="0" to-layer="1049" to-port="3"/>
<edge from-layer="1036" from-port="0" to-layer="1049" to-port="4"/>
<edge from-layer="1049" from-port="5" to-layer="1050" to-port="0"/>
<edge from-layer="1032" from-port="0" to-layer="1050" to-port="1"/>
<edge from-layer="1050" from-port="2" to-layer="1051" to-port="0"/>
<edge from-layer="1028" from-port="0" to-layer="1051" to-port="1"/>
<edge from-layer="1029" from-port="0" to-layer="1051" to-port="2"/>
<edge from-layer="1030" from-port="0" to-layer="1051" to-port="3"/>
<edge from-layer="1031" from-port="0" to-layer="1051" to-port="4"/>
<edge from-layer="1056" from-port="0" to-layer="1057" to-port="0"/>
<edge from-layer="1052" from-port="0" to-layer="1057" to-port="1"/>
<edge from-layer="1053" from-port="0" to-layer="1057" to-port="2"/>
<edge from-layer="1054" from-port="0" to-layer="1057" to-port="3"/>
<edge from-layer="1055" from-port="0" to-layer="1057" to-port="4"/>
<edge from-layer="1051" from-port="5" to-layer="1058" to-port="0"/>
<edge from-layer="1057" from-port="5" to-layer="1058" to-port="1"/>
<edge from-layer="1027" from-port="2" to-layer="1059" to-port="0"/>
<edge from-layer="1058" from-port="2" to-layer="1059" to-port="1"/>
<edge from-layer="1004" from-port="5" to-layer="1059" to-port="2"/>
<edge from-layer="1059" from-port="3" to-layer="1061" to-port="0"/>
<edge from-layer="1060" from-port="0" to-layer="1061" to-port="1"/>
<edge from-layer="893" from-port="2" to-layer="1062" to-port="0"/>
<edge from-layer="1062" from-port="1" to-layer="1065" to-port="0"/>
<edge from-layer="1063" from-port="0" to-layer="1065" to-port="1"/>
<edge from-layer="1064" from-port="0" to-layer="1065" to-port="2"/>
<edge from-layer="1065" from-port="3" to-layer="1079" to-port="0"/>
<edge from-layer="1075" from-port="0" to-layer="1079" to-port="1"/>
<edge from-layer="1076" from-port="0" to-layer="1079" to-port="2"/>
<edge from-layer="1077" from-port="0" to-layer="1079" to-port="3"/>
<edge from-layer="1078" from-port="0" to-layer="1079" to-port="4"/>
<edge from-layer="1079" from-port="5" to-layer="1080" to-port="0"/>
<edge from-layer="1074" from-port="0" to-layer="1080" to-port="1"/>
<edge from-layer="1080" from-port="2" to-layer="1082" to-port="0"/>
<edge from-layer="1081" from-port="0" to-layer="1082" to-port="1"/>
<edge from-layer="1082" from-port="2" to-layer="1083" to-port="0"/>
<edge from-layer="1070" from-port="0" to-layer="1083" to-port="1"/>
<edge from-layer="1071" from-port="0" to-layer="1083" to-port="2"/>
<edge from-layer="1072" from-port="0" to-layer="1083" to-port="3"/>
<edge from-layer="1073" from-port="0" to-layer="1083" to-port="4"/>
<edge from-layer="1088" from-port="0" to-layer="1089" to-port="0"/>
<edge from-layer="1084" from-port="0" to-layer="1089" to-port="1"/>
<edge from-layer="1085" from-port="0" to-layer="1089" to-port="2"/>
<edge from-layer="1086" from-port="0" to-layer="1089" to-port="3"/>
<edge from-layer="1087" from-port="0" to-layer="1089" to-port="4"/>
<edge from-layer="1083" from-port="5" to-layer="1090" to-port="0"/>
<edge from-layer="1089" from-port="5" to-layer="1090" to-port="1"/>
<edge from-layer="1090" from-port="2" to-layer="1091" to-port="0"/>
<edge from-layer="1066" from-port="0" to-layer="1091" to-port="1"/>
<edge from-layer="1067" from-port="0" to-layer="1091" to-port="2"/>
<edge from-layer="1068" from-port="0" to-layer="1091" to-port="3"/>
<edge from-layer="1069" from-port="0" to-layer="1091" to-port="4"/>
<edge from-layer="1096" from-port="0" to-layer="1097" to-port="0"/>
<edge from-layer="1092" from-port="0" to-layer="1097" to-port="1"/>
<edge from-layer="1093" from-port="0" to-layer="1097" to-port="2"/>
<edge from-layer="1094" from-port="0" to-layer="1097" to-port="3"/>
<edge from-layer="1095" from-port="0" to-layer="1097" to-port="4"/>
<edge from-layer="1091" from-port="5" to-layer="1098" to-port="0"/>
<edge from-layer="1097" from-port="5" to-layer="1098" to-port="1"/>
<edge from-layer="1065" from-port="4" to-layer="1112" to-port="0"/>
<edge from-layer="1108" from-port="0" to-layer="1112" to-port="1"/>
<edge from-layer="1109" from-port="0" to-layer="1112" to-port="2"/>
<edge from-layer="1110" from-port="0" to-layer="1112" to-port="3"/>
<edge from-layer="1111" from-port="0" to-layer="1112" to-port="4"/>
<edge from-layer="1117" from-port="0" to-layer="1118" to-port="0"/>
<edge from-layer="1113" from-port="0" to-layer="1118" to-port="1"/>
<edge from-layer="1114" from-port="0" to-layer="1118" to-port="2"/>
<edge from-layer="1115" from-port="0" to-layer="1118" to-port="3"/>
<edge from-layer="1116" from-port="0" to-layer="1118" to-port="4"/>
<edge from-layer="1112" from-port="5" to-layer="1119" to-port="0"/>
<edge from-layer="1118" from-port="5" to-layer="1119" to-port="1"/>
<edge from-layer="1119" from-port="2" to-layer="1120" to-port="0"/>
<edge from-layer="1104" from-port="0" to-layer="1120" to-port="1"/>
<edge from-layer="1105" from-port="0" to-layer="1120" to-port="2"/>
<edge from-layer="1106" from-port="0" to-layer="1120" to-port="3"/>
<edge from-layer="1107" from-port="0" to-layer="1120" to-port="4"/>
<edge from-layer="1120" from-port="5" to-layer="1121" to-port="0"/>
<edge from-layer="1103" from-port="0" to-layer="1121" to-port="1"/>
<edge from-layer="1121" from-port="2" to-layer="1122" to-port="0"/>
<edge from-layer="1099" from-port="0" to-layer="1122" to-port="1"/>
<edge from-layer="1100" from-port="0" to-layer="1122" to-port="2"/>
<edge from-layer="1101" from-port="0" to-layer="1122" to-port="3"/>
<edge from-layer="1102" from-port="0" to-layer="1122" to-port="4"/>
<edge from-layer="1127" from-port="0" to-layer="1128" to-port="0"/>
<edge from-layer="1123" from-port="0" to-layer="1128" to-port="1"/>
<edge from-layer="1124" from-port="0" to-layer="1128" to-port="2"/>
<edge from-layer="1125" from-port="0" to-layer="1128" to-port="3"/>
<edge from-layer="1126" from-port="0" to-layer="1128" to-port="4"/>
<edge from-layer="1122" from-port="5" to-layer="1129" to-port="0"/>
<edge from-layer="1128" from-port="5" to-layer="1129" to-port="1"/>
<edge from-layer="1098" from-port="2" to-layer="1130" to-port="0"/>
<edge from-layer="1129" from-port="2" to-layer="1130" to-port="1"/>
<edge from-layer="1065" from-port="5" to-layer="1130" to-port="2"/>
<edge from-layer="1130" from-port="3" to-layer="1132" to-port="0"/>
<edge from-layer="1131" from-port="0" to-layer="1132" to-port="1"/>
<edge from-layer="999" from-port="2" to-layer="1133" to-port="0"/>
<edge from-layer="1133" from-port="1" to-layer="1136" to-port="0"/>
<edge from-layer="1134" from-port="0" to-layer="1136" to-port="1"/>
<edge from-layer="1135" from-port="0" to-layer="1136" to-port="2"/>
<edge from-layer="1136" from-port="3" to-layer="1150" to-port="0"/>
<edge from-layer="1146" from-port="0" to-layer="1150" to-port="1"/>
<edge from-layer="1147" from-port="0" to-layer="1150" to-port="2"/>
<edge from-layer="1148" from-port="0" to-layer="1150" to-port="3"/>
<edge from-layer="1149" from-port="0" to-layer="1150" to-port="4"/>
<edge from-layer="1150" from-port="5" to-layer="1151" to-port="0"/>
<edge from-layer="1145" from-port="0" to-layer="1151" to-port="1"/>
<edge from-layer="1151" from-port="2" to-layer="1153" to-port="0"/>
<edge from-layer="1152" from-port="0" to-layer="1153" to-port="1"/>
<edge from-layer="1153" from-port="2" to-layer="1154" to-port="0"/>
<edge from-layer="1141" from-port="0" to-layer="1154" to-port="1"/>
<edge from-layer="1142" from-port="0" to-layer="1154" to-port="2"/>
<edge from-layer="1143" from-port="0" to-layer="1154" to-port="3"/>
<edge from-layer="1144" from-port="0" to-layer="1154" to-port="4"/>
<edge from-layer="1159" from-port="0" to-layer="1160" to-port="0"/>
<edge from-layer="1155" from-port="0" to-layer="1160" to-port="1"/>
<edge from-layer="1156" from-port="0" to-layer="1160" to-port="2"/>
<edge from-layer="1157" from-port="0" to-layer="1160" to-port="3"/>
<edge from-layer="1158" from-port="0" to-layer="1160" to-port="4"/>
<edge from-layer="1154" from-port="5" to-layer="1161" to-port="0"/>
<edge from-layer="1160" from-port="5" to-layer="1161" to-port="1"/>
<edge from-layer="1161" from-port="2" to-layer="1162" to-port="0"/>
<edge from-layer="1137" from-port="0" to-layer="1162" to-port="1"/>
<edge from-layer="1138" from-port="0" to-layer="1162" to-port="2"/>
<edge from-layer="1139" from-port="0" to-layer="1162" to-port="3"/>
<edge from-layer="1140" from-port="0" to-layer="1162" to-port="4"/>
<edge from-layer="1167" from-port="0" to-layer="1168" to-port="0"/>
<edge from-layer="1163" from-port="0" to-layer="1168" to-port="1"/>
<edge from-layer="1164" from-port="0" to-layer="1168" to-port="2"/>
<edge from-layer="1165" from-port="0" to-layer="1168" to-port="3"/>
<edge from-layer="1166" from-port="0" to-layer="1168" to-port="4"/>
<edge from-layer="1162" from-port="5" to-layer="1169" to-port="0"/>
<edge from-layer="1168" from-port="5" to-layer="1169" to-port="1"/>
<edge from-layer="1136" from-port="4" to-layer="1183" to-port="0"/>
<edge from-layer="1179" from-port="0" to-layer="1183" to-port="1"/>
<edge from-layer="1180" from-port="0" to-layer="1183" to-port="2"/>
<edge from-layer="1181" from-port="0" to-layer="1183" to-port="3"/>
<edge from-layer="1182" from-port="0" to-layer="1183" to-port="4"/>
<edge from-layer="1188" from-port="0" to-layer="1189" to-port="0"/>
<edge from-layer="1184" from-port="0" to-layer="1189" to-port="1"/>
<edge from-layer="1185" from-port="0" to-layer="1189" to-port="2"/>
<edge from-layer="1186" from-port="0" to-layer="1189" to-port="3"/>
<edge from-layer="1187" from-port="0" to-layer="1189" to-port="4"/>
<edge from-layer="1183" from-port="5" to-layer="1190" to-port="0"/>
<edge from-layer="1189" from-port="5" to-layer="1190" to-port="1"/>
<edge from-layer="1190" from-port="2" to-layer="1191" to-port="0"/>
<edge from-layer="1175" from-port="0" to-layer="1191" to-port="1"/>
<edge from-layer="1176" from-port="0" to-layer="1191" to-port="2"/>
<edge from-layer="1177" from-port="0" to-layer="1191" to-port="3"/>
<edge from-layer="1178" from-port="0" to-layer="1191" to-port="4"/>
<edge from-layer="1191" from-port="5" to-layer="1192" to-port="0"/>
<edge from-layer="1174" from-port="0" to-layer="1192" to-port="1"/>
<edge from-layer="1192" from-port="2" to-layer="1193" to-port="0"/>
<edge from-layer="1170" from-port="0" to-layer="1193" to-port="1"/>
<edge from-layer="1171" from-port="0" to-layer="1193" to-port="2"/>
<edge from-layer="1172" from-port="0" to-layer="1193" to-port="3"/>
<edge from-layer="1173" from-port="0" to-layer="1193" to-port="4"/>
<edge from-layer="1198" from-port="0" to-layer="1199" to-port="0"/>
<edge from-layer="1194" from-port="0" to-layer="1199" to-port="1"/>
<edge from-layer="1195" from-port="0" to-layer="1199" to-port="2"/>
<edge from-layer="1196" from-port="0" to-layer="1199" to-port="3"/>
<edge from-layer="1197" from-port="0" to-layer="1199" to-port="4"/>
<edge from-layer="1193" from-port="5" to-layer="1200" to-port="0"/>
<edge from-layer="1199" from-port="5" to-layer="1200" to-port="1"/>
<edge from-layer="1169" from-port="2" to-layer="1201" to-port="0"/>
<edge from-layer="1200" from-port="2" to-layer="1201" to-port="1"/>
<edge from-layer="1136" from-port="5" to-layer="1201" to-port="2"/>
<edge from-layer="1201" from-port="3" to-layer="1203" to-port="0"/>
<edge from-layer="1202" from-port="0" to-layer="1203" to-port="1"/>
<edge from-layer="1061" from-port="2" to-layer="1204" to-port="0"/>
<edge from-layer="1132" from-port="2" to-layer="1204" to-port="1"/>
<edge from-layer="1203" from-port="2" to-layer="1204" to-port="2"/>
<edge from-layer="1204" from-port="3" to-layer="1205" to-port="0"/>
</edges>
<meta_data>
<MO_version value="2021.4.2-3976-0943ed67223-refs/pull/539/head"/>
<cli_parameters>
<caffe_parser_path value="DIR"/>
<data_type value="FP32"/>
<disable_nhwc_to_nchw value="False"/>
<disable_omitting_optional value="False"/>
<disable_resnet_optimization value="False"/>
<disable_weights_compression value="False"/>
<enable_concat_optimization value="False"/>
<enable_flattening_nested_params value="False"/>
<enable_ssd_gluoncv value="False"/>
<extensions value="DIR"/>
<framework value="onnx"/>
<freeze_placeholder_with_value value="{}"/>
<generate_deprecated_IR_V7 value="False"/>
<input_model value="DIR\yolov5_640x640_b2.onnx"/>
<input_model_is_text value="False"/>
<input_shape value="[2,3,640,640]"/>
<k value="DIR\CustomLayersMapping.xml"/>
<keep_shape_ops value="True"/>
<legacy_ir_generation value="False"/>
<legacy_mxnet_model value="False"/>
<log_level value="ERROR"/>
<mean_scale_values value="{}"/>
<mean_values value="()"/>
<model_name value="yolov5_640x640_b2"/>
<output_dir value="DIR"/>
<placeholder_data_types value="{}"/>
<placeholder_shapes value="[ 2 3 640 640]"/>
<progress value="False"/>
<remove_memory value="False"/>
<remove_output_softmax value="False"/>
<reverse_input_channels value="False"/>
<save_params_from_nd value="False"/>
<scale_values value="()"/>
<silent value="False"/>
<static_shape value="False"/>
<stream_output value="False"/>
<transform value=""/>
<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input, input_checkpoint, input_meta_graph, input_proto, input_symbol, mean_file, mean_file_offsets, move_to_preprocess, nd_prefix_name, output, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/>
</cli_parameters>
</meta_data>
<quantization_parameters>
<config/>
<version value="{}"/>
<cli_params value="{}"/>
</quantization_parameters>
</net>