<?xml version="1.0" ?>
<net name="yolov5s_640x640_opt" version="10">
<layers>
<layer id="0" name="2897290113885" type="Const" version="opset1">
<data offset="0" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="2898290213186" type="Const" version="opset1">
<data offset="4" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="2" name="2899290314110" type="Const" version="opset1">
<data offset="0" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="3" name="2900290414263" type="Const" version="opset1">
<data offset="4" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="4" name="4091409512589" type="Const" version="opset1">
<data offset="8" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="4092409613555" type="Const" version="opset1">
<data offset="12" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="6" name="4093409712880" type="Const" version="opset1">
<data offset="8" size="4" shape="1,1,1,1" element_type="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="4094409813852" type="Const" version="opset1">
<data offset="12" size="4" shape="1,1,1,1" element_type="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="2246225012637" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2247225114185" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="2248225214065" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="11" name="2249225313474" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="12" name="2816282012865" type="Const" version="opset1">
<data offset="24" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="13" name="2817282112688" type="Const" version="opset1">
<data offset="28" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="14" name="2818282212955" type="Const" version="opset1">
<data offset="24" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="15" name="2819282312403" type="Const" version="opset1">
<data offset="28" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="16" name="4061406512457" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4062406614038" type="Const" version="opset1">
<data offset="32" size="4" shape="1,1,1,1" element_type="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="4063406713393" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4064406814029" type="Const" version="opset1">
<data offset="32" size="4" shape="1,1,1,1" element_type="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="4251425513426" type="Const" version="opset1">
<data offset="36" size="4" shape="1,1,1,1" element_type="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="4252425612529" type="Const" version="opset1">
<data offset="40" size="4" shape="1,1,1,1" element_type="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="4253425713651" type="Const" version="opset1">
<data offset="36" size="4" shape="1,1,1,1" element_type="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="4254425813951" type="Const" version="opset1">
<data offset="40" size="4" shape="1,1,1,1" element_type="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="2226223014197" type="Const" version="opset1">
<data offset="44" size="4" shape="1,1,1,1" element_type="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="2227223113585" type="Const" version="opset1">
<data offset="48" size="4" shape="1,1,1,1" element_type="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="2228223213462" type="Const" version="opset1">
<data offset="44" size="4" shape="1,1,1,1" element_type="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="2229223314125" type="Const" version="opset1">
<data offset="48" size="4" shape="1,1,1,1" element_type="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="1426143012799" type="Const" version="opset1">
<data offset="52" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="29" name="1427143112895" type="Const" version="opset1">
<data offset="56" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="30" name="1428143213150" type="Const" version="opset1">
<data offset="52" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="31" name="1429143313918" type="Const" version="opset1">
<data offset="56" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="32" name="2466247013486" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="33" name="2467247114293" type="Const" version="opset1">
<data offset="60" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="34" name="2468247213807" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2469247313744" type="Const" version="opset1">
<data offset="60" size="4" shape="1,1,1,1" element_type="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="2977298113654" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2978298212742" type="Const" version="opset1">
<data offset="64" size="4" shape="1,1,1,1" element_type="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="2979298314236" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="39" name="2980298412877" type="Const" version="opset1">
<data offset="64" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="40" name="4231423513054" type="Const" version="opset1">
<data offset="68" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="41" name="4232423613960" type="Const" version="opset1">
<data offset="72" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="42" name="4233423712802" type="Const" version="opset1">
<data offset="68" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="43" name="4234423813999" type="Const" version="opset1">
<data offset="72" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="44" name="1546155012568" type="Const" version="opset1">
<data offset="76" size="4" shape="1,1,1,1" element_type="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="1547155113627" type="Const" version="opset1">
<data offset="80" size="4" shape="1,1,1,1" element_type="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="1548155213417" type="Const" version="opset1">
<data offset="76" size="4" shape="1,1,1,1" element_type="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="1549155313270" type="Const" version="opset1">
<data offset="80" size="4" shape="1,1,1,1" element_type="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="1686169013963" type="Const" version="opset1">
<data offset="84" size="4" shape="1,1,1,1" element_type="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="1687169113252" type="Const" version="opset1">
<data offset="88" size="4" shape="1,1,1,1" element_type="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="1688169213921" type="Const" version="opset1">
<data offset="84" size="4" shape="1,1,1,1" element_type="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="1689169312715" type="Const" version="opset1">
<data offset="88" size="4" shape="1,1,1,1" element_type="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="2957296113507" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="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="2958296214260" type="Const" version="opset1">
<data offset="96" size="4" shape="1,1,1,1" element_type="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="2959296312967" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="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="2960296413243" type="Const" version="opset1">
<data offset="96" size="4" shape="1,1,1,1" element_type="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="2266227014266" type="Const" version="opset1">
<data offset="100" size="4" shape="1,1,1,1" element_type="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="2267227113966" type="Const" version="opset1">
<data offset="104" size="4" shape="1,1,1,1" element_type="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="2268227213930" type="Const" version="opset1">
<data offset="100" size="4" shape="1,1,1,1" element_type="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="2269227313330" type="Const" version="opset1">
<data offset="104" size="4" shape="1,1,1,1" element_type="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="images" type="Parameter" version="opset1">
<data shape="1,3,640,640" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="images">
<dim>1</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
</output>
</layer>
<layer id="61" name="Conv_0/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
</output>
</layer>
<layer id="62" name="model.0.conv.weight4336756/quantized822112760" type="Const" version="opset1">
<data offset="108" size="3456" shape="32,3,6,6" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="63" name="model.0.conv.weight4336756/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="64" name="Conv_0/WithoutBiases/fq_weights_1/zero_point824012904" type="Const" version="opset1">
<data offset="3564" 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="65" name="Conv_0/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="66" name="Conv_0/WithoutBiases/fq_weights_1/scale822913609" type="Const" version="opset1">
<data offset="3692" 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="67" name="Conv_0/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>3</dim>
<dim>6</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="68" 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>1</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>1</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="69" name="Conv_0/Dims385843512559" type="Const" version="opset1">
<data offset="3820" 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="70" name="Conv_0" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="71" name="Mul_2" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="124">
<dim>1</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="72" name="Conv_3/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="73" name="model.1.conv.weight4386758/quantized945113108" type="Const" version="opset1">
<data offset="3948" size="18432" shape="64,32,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="74" name="model.1.conv.weight4386758/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="75" name="Conv_3/WithoutBiases/fq_weights_1/zero_point947012994" type="Const" version="opset1">
<data offset="22380" 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="76" name="Conv_3/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="77" name="Conv_3/WithoutBiases/fq_weights_1/scale945912757" type="Const" version="opset1">
<data offset="22636" 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="78" name="Conv_3/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="79" 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>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="80" name="Conv_3/Dims369644013045" type="Const" version="opset1">
<data offset="22892" 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="81" name="Conv_3" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="82" name="Mul_5" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="127">
<dim>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="83" name="Conv_16/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="84" name="model.2.cv1.conv.weight4436760/quantized888113558" type="Const" version="opset1">
<data offset="23148" size="2048" shape="32,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="85" name="model.2.cv1.conv.weight4436760/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="86" name="Conv_6/WithoutBiases/fq_weights_1/zero_point890014275" type="Const" version="opset1">
<data offset="25196" 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="87" name="Conv_6/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="88" name="Conv_6/WithoutBiases/fq_weights_1/scale888912586" type="Const" version="opset1">
<data offset="25324" 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="89" name="Conv_6/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="90" 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>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="91" name="Conv_6/Dims362444513510" type="Const" version="opset1">
<data offset="25452" 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="92" name="Conv_6" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="93" name="Mul_8" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="130">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="94" name="Add_15/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="95" name="1556156012430" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1557156113234" type="Const" version="opset1">
<data offset="25580" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="97" name="1558156213144" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="98" name="1559156313375" type="Const" version="opset1">
<data offset="25580" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="99" name="1786179012871" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="100" name="1787179113603" type="Const" version="opset1">
<data offset="25584" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="101" name="1788179213540" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="102" name="1789179312619" type="Const" version="opset1">
<data offset="25584" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="103" name="model.2.m.0.cv1.conv.weight4486762/quantized849112643" type="Const" version="opset1">
<data offset="25588" size="1024" shape="32,32,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="104" name="model.2.m.0.cv1.conv.weight4486762/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="105" name="Conv_9/WithoutBiases/fq_weights_1/zero_point851013222" type="Const" version="opset1">
<data offset="26612" 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="106" name="Conv_9/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="107" name="Conv_9/WithoutBiases/fq_weights_1/scale849913837" type="Const" version="opset1">
<data offset="26740" 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="108" name="Conv_9/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="109" 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>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="110" name="Conv_9/Dims378045012736" type="Const" version="opset1">
<data offset="26868" 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="111" name="Conv_9" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="112" name="Mul_11" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="133">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="113" name="Conv_12/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="114" name="model.2.m.0.cv2.conv.weight4536764/quantized783113735" type="Const" version="opset1">
<data offset="26996" size="9216" shape="32,32,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="115" name="model.2.m.0.cv2.conv.weight4536764/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="116" name="Conv_12/WithoutBiases/fq_weights_1/zero_point785012490" type="Const" version="opset1">
<data offset="36212" 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="117" name="Conv_12/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="118" name="Conv_12/WithoutBiases/fq_weights_1/scale783914014" type="Const" version="opset1">
<data offset="36340" 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="119" name="Conv_12/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="120" 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>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="121" name="Conv_12/Dims358845513633" type="Const" version="opset1">
<data offset="36468" 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_12" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="123" name="Mul_14" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="136">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="124" name="Add_15/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="125" name="Add_15" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="137">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="126" name="Concat_19/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="127" name="4241424513795" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="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="4242424612937" type="Const" version="opset1">
<data offset="36596" size="4" shape="1,1,1,1" element_type="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="4243424713678" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="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="4244424813777" type="Const" version="opset1">
<data offset="36596" size="4" shape="1,1,1,1" element_type="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="model.2.cv2.conv.weight4596766/quantized966113981" type="Const" version="opset1">
<data offset="36600" size="2048" shape="32,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="132" name="model.2.cv2.conv.weight4596766/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="133" name="Conv_16/WithoutBiases/fq_weights_1/zero_point968013831" type="Const" version="opset1">
<data offset="38648" 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="Conv_16/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="135" name="Conv_16/WithoutBiases/fq_weights_1/scale966912532" type="Const" version="opset1">
<data offset="38776" 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="Conv_16/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="137" 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>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="138" name="Conv_16/Dims356446112823" type="Const" version="opset1">
<data offset="38904" 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="139" name="Conv_16" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="140" name="Mul_18" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="140">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="141" name="Concat_19/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="142" name="Concat_19" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="141">
<dim>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="143" name="model.2.cv3.conv.weight4656768/quantized951113381" type="Const" version="opset1">
<data offset="39032" size="4096" shape="64,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="144" name="model.2.cv3.conv.weight4656768/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="145" name="Conv_20/WithoutBiases/fq_weights_1/zero_point953013225" type="Const" version="opset1">
<data offset="43128" 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="146" name="Conv_20/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="147" name="Conv_20/WithoutBiases/fq_weights_1/scale951913183" type="Const" version="opset1">
<data offset="43384" 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="148" name="Conv_20/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="149" 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>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="150" name="Conv_20/Dims363046713372" type="Const" version="opset1">
<data offset="43640" 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="151" name="Conv_20" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="152" name="Mul_22" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="144">
<dim>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="153" name="Conv_23/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="154" name="model.3.conv.weight4706770/quantized942114059" type="Const" version="opset1">
<data offset="43896" size="73728" shape="128,64,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="155" name="model.3.conv.weight4706770/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="156" name="Conv_23/WithoutBiases/fq_weights_1/zero_point944014053" type="Const" version="opset1">
<data offset="117624" 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="157" name="Conv_23/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="158" name="Conv_23/WithoutBiases/fq_weights_1/scale942912562" type="Const" version="opset1">
<data offset="118136" 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="159" name="Conv_23/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="160" 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>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="161" name="Conv_23/Dims382847213210" type="Const" version="opset1">
<data offset="118648" 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="162" name="Conv_23" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="163" name="Mul_25" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="147">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="164" name="Conv_26/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="165" name="model.4.cv1.conv.weight4756772/quantized930112508" type="Const" version="opset1">
<data offset="119160" size="8192" shape="64,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="166" name="model.4.cv1.conv.weight4756772/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="167" name="Conv_26/WithoutBiases/fq_weights_1/zero_point932014008" type="Const" version="opset1">
<data offset="127352" 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="168" name="Conv_26/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="169" name="Conv_26/WithoutBiases/fq_weights_1/scale930913366" type="Const" version="opset1">
<data offset="127608" 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="170" name="Conv_26/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="171" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="172" name="Conv_26/Dims380447714164" type="Const" version="opset1">
<data offset="127864" 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="173" name="Conv_26" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="174" name="Mul_28" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="150">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="175" name="Add_35/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="176" name="1436144013453" type="Const" version="opset1">
<data offset="128120" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="177" name="1437144113513" type="Const" version="opset1">
<data offset="128124" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="178" name="1438144214047" type="Const" version="opset1">
<data offset="128120" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="179" name="1439144313993" type="Const" version="opset1">
<data offset="128124" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="180" name="2526253012373" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="181" name="2527253113423" type="Const" version="opset1">
<data offset="128128" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="182" name="2528253213648" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="183" name="2529253314224" type="Const" version="opset1">
<data offset="128128" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="184" name="model.4.m.0.cv1.conv.weight4806774/quantized819114131" type="Const" version="opset1">
<data offset="128132" size="4096" shape="64,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="185" name="model.4.m.0.cv1.conv.weight4806774/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="186" name="Conv_29/WithoutBiases/fq_weights_1/zero_point821013531" type="Const" version="opset1">
<data offset="132228" 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="187" name="Conv_29/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="188" name="Conv_29/WithoutBiases/fq_weights_1/scale819912547" type="Const" version="opset1">
<data offset="132484" 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="189" name="Conv_29/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="190" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="191" name="Conv_29/Dims368448213690" type="Const" version="opset1">
<data offset="132740" 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="192" name="Conv_29" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="193" name="Mul_31" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="153">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="194" name="Conv_32/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="195" name="model.4.m.0.cv2.conv.weight4856776/quantized816112550" type="Const" version="opset1">
<data offset="132996" size="36864" shape="64,64,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="196" name="model.4.m.0.cv2.conv.weight4856776/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="197" name="Conv_32/WithoutBiases/fq_weights_1/zero_point818013126" type="Const" version="opset1">
<data offset="169860" 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="198" name="Conv_32/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="199" name="Conv_32/WithoutBiases/fq_weights_1/scale816912820" type="Const" version="opset1">
<data offset="170116" 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="200" name="Conv_32/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="201" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="202" name="Conv_32/Dims375048713063" type="Const" version="opset1">
<data offset="170372" 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="203" name="Conv_32" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="204" name="Mul_34" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="156">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="205" name="Add_35/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="206" name="Add_35" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="157">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="207" name="Add_42/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="208" name="2236224013768" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="209" name="2237224113438" type="Const" version="opset1">
<data offset="170628" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="210" name="2238224212427" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="211" name="2239224312445" type="Const" version="opset1">
<data offset="170628" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="212" name="1826183014284" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="213" name="1827183113369" type="Const" version="opset1">
<data offset="170632" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="214" name="1828183213216" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="215" name="1829183312448" type="Const" version="opset1">
<data offset="170632" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="216" name="model.4.m.1.cv1.conv.weight4916778/quantized882113024" type="Const" version="opset1">
<data offset="170636" size="4096" shape="64,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="217" name="model.4.m.1.cv1.conv.weight4916778/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="218" name="Conv_36/WithoutBiases/fq_weights_1/zero_point884012463" type="Const" version="opset1">
<data offset="174732" 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="219" name="Conv_36/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="220" name="Conv_36/WithoutBiases/fq_weights_1/scale882914209" type="Const" version="opset1">
<data offset="174988" 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="Conv_36/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="222" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="223" name="Conv_36/Dims384049312361" type="Const" version="opset1">
<data offset="175244" 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="224" name="Conv_36" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="225" name="Mul_38" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="160">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="226" name="Conv_39/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="227" name="model.4.m.1.cv2.conv.weight4966780/quantized798112661" type="Const" version="opset1">
<data offset="175500" size="36864" shape="64,64,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="228" name="model.4.m.1.cv2.conv.weight4966780/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="229" name="Conv_39/WithoutBiases/fq_weights_1/zero_point800013165" type="Const" version="opset1">
<data offset="212364" 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="230" name="Conv_39/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="231" name="Conv_39/WithoutBiases/fq_weights_1/scale798912520" type="Const" version="opset1">
<data offset="212620" 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="232" name="Conv_39/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="233" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="234" name="Conv_39/Dims374449814257" type="Const" version="opset1">
<data offset="212876" 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="235" name="Conv_39" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="236" name="Mul_41" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="163">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="237" name="Add_42/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="238" name="Add_42" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="164">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="239" name="Concat_46/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="240" name="4261426514191" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="241" name="4262426612358" type="Const" version="opset1">
<data offset="213132" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="242" name="4263426712526" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="243" name="4264426814167" type="Const" version="opset1">
<data offset="213132" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="244" name="model.4.cv2.conv.weight5026782/quantized909113006" type="Const" version="opset1">
<data offset="213136" size="8192" shape="64,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="245" name="model.4.cv2.conv.weight5026782/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="246" name="Conv_43/WithoutBiases/fq_weights_1/zero_point911014212" type="Const" version="opset1">
<data offset="221328" 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="247" name="Conv_43/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="248" name="Conv_43/WithoutBiases/fq_weights_1/scale909913798" type="Const" version="opset1">
<data offset="221584" 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="249" name="Conv_43/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="250" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="251" name="Conv_43/Dims370850414242" type="Const" version="opset1">
<data offset="221840" 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="252" name="Conv_43" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="253" name="Mul_45" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="167">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="254" name="Concat_46/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="255" name="Concat_46" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="168">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="256" name="model.4.cv3.conv.weight5086784/quantized801114152" type="Const" version="opset1">
<data offset="222096" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="257" name="model.4.cv3.conv.weight5086784/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="258" name="Conv_47/WithoutBiases/fq_weights_1/zero_point803012706" type="Const" version="opset1">
<data offset="238480" 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="259" name="Conv_47/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="260" name="Conv_47/WithoutBiases/fq_weights_1/scale801913552" type="Const" version="opset1">
<data offset="238992" 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="261" name="Conv_47/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="262" 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>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="263" name="Conv_47/Dims370251013120" type="Const" version="opset1">
<data offset="239504" 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="264" name="Conv_47" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="265" name="Mul_49" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="171">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="266" name="Concat_139/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="267" name="4051405514026" type="Const" version="opset1">
<data offset="240016" size="4" shape="1,1,1,1" element_type="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="4052405612979" type="Const" version="opset1">
<data offset="240020" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="269" name="4053405713630" type="Const" version="opset1">
<data offset="240016" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="270" name="4054405813042" type="Const" version="opset1">
<data offset="240020" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="271" name="Resize_138/StridedSlice_scales29031418767712925" type="Const" version="opset1">
<data offset="240024" size="8" shape="2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="272" name="Resize_138/axis28871416067812442" type="Const" version="opset1">
<data offset="240032" size="16" shape="2" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="273" name="4121412513297" type="Const" version="opset1">
<data offset="240016" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="274" name="4122412612973" type="Const" version="opset1">
<data offset="240020" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="275" name="4123412713948" type="Const" version="opset1">
<data offset="240016" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="276" name="4124412812862" type="Const" version="opset1">
<data offset="240020" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="277" name="2836284013723" type="Const" version="opset1">
<data offset="240048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="278" name="2837284113501" type="Const" version="opset1">
<data offset="240052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="279" name="2838284214299" type="Const" version="opset1">
<data offset="240048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="280" name="2839284313693" type="Const" version="opset1">
<data offset="240052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="281" name="4031403513099" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="282" name="4032403613051" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="283" name="4033403712772" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="284" name="4034403813471" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="285" name="2937294114095" type="Const" version="opset1">
<data offset="240056" size="4" shape="1,1,1,1" element_type="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="2938294213129" type="Const" version="opset1">
<data offset="240060" size="4" shape="1,1,1,1" element_type="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="2939294312703" type="Const" version="opset1">
<data offset="240056" size="4" shape="1,1,1,1" element_type="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="2940294413657" type="Const" version="opset1">
<data offset="240060" size="4" shape="1,1,1,1" element_type="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="1376138014254" type="Const" version="opset1">
<data offset="240064" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="290" name="1377138112685" type="Const" version="opset1">
<data offset="240068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="291" name="1378138213771" type="Const" version="opset1">
<data offset="240064" size="4" shape="1,1,1,1" element_type="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="1379138312466" type="Const" version="opset1">
<data offset="240068" size="4" shape="1,1,1,1" element_type="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="4001400512511" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4002400612907" type="Const" version="opset1">
<data offset="240072" size="4" shape="1,1,1,1" element_type="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="4003400713441" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4004400812778" type="Const" version="opset1">
<data offset="240072" size="4" shape="1,1,1,1" element_type="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="4271427514158" type="Const" version="opset1">
<data offset="240076" size="4" shape="1,1,1,1" element_type="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="4272427613639" type="Const" version="opset1">
<data offset="240080" size="4" shape="1,1,1,1" element_type="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="4273427712676" type="Const" version="opset1">
<data offset="240076" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="300" name="4274427813834" type="Const" version="opset1">
<data offset="240080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="301" name="1886189013159" type="Const" version="opset1">
<data offset="240084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="302" name="1887189114041" type="Const" version="opset1">
<data offset="240088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="303" name="1888189213249" type="Const" version="opset1">
<data offset="240084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="304" name="1889189313810" type="Const" version="opset1">
<data offset="240088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="305" name="2877288112535" type="Const" version="opset1">
<data offset="240092" size="4" shape="1,1,1,1" element_type="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="2878288212886" type="Const" version="opset1">
<data offset="240096" size="4" shape="1,1,1,1" element_type="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="2879288314215" type="Const" version="opset1">
<data offset="240092" size="4" shape="1,1,1,1" element_type="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="2880288412412" type="Const" version="opset1">
<data offset="240096" size="4" shape="1,1,1,1" element_type="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="1396140012805" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1397140113597" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="1398140213021" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1399140313324" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="1706171014002" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1707171112514" type="Const" version="opset1">
<data offset="240100" size="4" shape="1,1,1,1" element_type="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="1708171212634" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1709171312724" type="Const" version="opset1">
<data offset="240100" size="4" shape="1,1,1,1" element_type="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="model.5.conv.weight5136786/quantized861113069" type="Const" version="opset1">
<data offset="240104" size="294912" shape="256,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="318" name="model.5.conv.weight5136786/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="319" name="Conv_50/WithoutBiases/fq_weights_1/zero_point863013624" type="Const" version="opset1">
<data offset="535016" 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="320" name="Conv_50/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="321" name="Conv_50/WithoutBiases/fq_weights_1/scale861913432" type="Const" version="opset1">
<data offset="536040" 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="322" name="Conv_50/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="323" 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>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="324" name="Conv_50/Dims357051512574" type="Const" version="opset1">
<data offset="537064" 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="325" name="Conv_50" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="326" name="Mul_52" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="174">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="327" name="Conv_53/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="328" name="model.6.cv1.conv.weight5186788/quantized885113939" type="Const" version="opset1">
<data offset="538088" size="32768" shape="128,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="329" name="model.6.cv1.conv.weight5186788/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="330" name="Conv_53/WithoutBiases/fq_weights_1/zero_point887012394" type="Const" version="opset1">
<data offset="570856" 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="331" name="Conv_53/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="332" name="Conv_53/WithoutBiases/fq_weights_1/scale885913027" type="Const" version="opset1">
<data offset="571368" 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="333" name="Conv_53/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="334" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="335" name="Conv_53/Dims379252014281" type="Const" version="opset1">
<data offset="571880" 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="336" name="Conv_53" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="337" name="Mul_55" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="177">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="338" name="Add_62/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="339" name="1406141014278" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1407141113666" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="1408141213822" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1409141314176" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="2756276012385" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2757276113276" type="Const" version="opset1">
<data offset="572392" size="4" shape="1,1,1,1" element_type="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="2758276214104" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2759276312538" type="Const" version="opset1">
<data offset="572392" size="4" shape="1,1,1,1" element_type="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="model.6.m.0.cv1.conv.weight5236790/quantized852112478" type="Const" version="opset1">
<data offset="572396" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="348" name="model.6.m.0.cv1.conv.weight5236790/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="349" name="Conv_56/WithoutBiases/fq_weights_1/zero_point854013600" type="Const" version="opset1">
<data offset="588780" 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="350" name="Conv_56/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="351" name="Conv_56/WithoutBiases/fq_weights_1/scale852912712" type="Const" version="opset1">
<data offset="589292" 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="352" name="Conv_56/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="353" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="354" name="Conv_56/Dims355852512472" type="Const" version="opset1">
<data offset="589804" 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="355" name="Conv_56" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="356" name="Mul_58" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="180">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="357" name="Conv_59/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="358" name="model.6.m.0.cv2.conv.weight5286792/quantized936114089" type="Const" version="opset1">
<data offset="590316" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="359" name="model.6.m.0.cv2.conv.weight5286792/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="360" name="Conv_59/WithoutBiases/fq_weights_1/zero_point938013582" type="Const" version="opset1">
<data offset="737772" 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="361" name="Conv_59/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="362" name="Conv_59/WithoutBiases/fq_weights_1/scale936912553" type="Const" version="opset1">
<data offset="738284" 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="363" name="Conv_59/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="364" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="365" name="Conv_59/Dims378653013549" type="Const" version="opset1">
<data offset="738796" 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="366" name="Conv_59" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="367" name="Mul_61" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="183">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="368" name="Add_62/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="369" name="Add_62" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="184">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="370" name="Add_69/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="371" name="2887289112844" type="Const" version="opset1">
<data offset="739308" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="372" name="2888289213780" type="Const" version="opset1">
<data offset="739312" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="373" name="2889289312991" type="Const" version="opset1">
<data offset="739308" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="374" name="2890289413972" type="Const" version="opset1">
<data offset="739312" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="375" name="1906191012769" type="Const" version="opset1">
<data offset="739316" size="4" shape="1,1,1,1" element_type="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="1907191113207" type="Const" version="opset1">
<data offset="739320" size="4" shape="1,1,1,1" element_type="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="1908191213492" type="Const" version="opset1">
<data offset="739316" size="4" shape="1,1,1,1" element_type="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="1909191312808" type="Const" version="opset1">
<data offset="739320" size="4" shape="1,1,1,1" element_type="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="model.6.m.1.cv1.conv.weight5346794/quantized927113402" type="Const" version="opset1">
<data offset="739324" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="380" name="model.6.m.1.cv1.conv.weight5346794/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="381" name="Conv_63/WithoutBiases/fq_weights_1/zero_point929012841" type="Const" version="opset1">
<data offset="755708" 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="382" name="Conv_63/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="383" name="Conv_63/WithoutBiases/fq_weights_1/scale927913741" type="Const" version="opset1">
<data offset="756220" 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="Conv_63/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="385" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="386" name="Conv_63/Dims381653613033" type="Const" version="opset1">
<data offset="756732" 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="387" name="Conv_63" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="388" name="Mul_65" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="187">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="389" name="Conv_66/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="390" name="model.6.m.1.cv2.conv.weight5396796/quantized837113942" type="Const" version="opset1">
<data offset="757244" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="391" name="model.6.m.1.cv2.conv.weight5396796/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="392" name="Conv_66/WithoutBiases/fq_weights_1/zero_point839013279" type="Const" version="opset1">
<data offset="904700" 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="393" name="Conv_66/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="394" name="Conv_66/WithoutBiases/fq_weights_1/scale837913267" type="Const" version="opset1">
<data offset="905212" 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="Conv_66/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="396" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="397" name="Conv_66/Dims352254113987" type="Const" version="opset1">
<data offset="905724" 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="398" name="Conv_66" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="399" name="Mul_68" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="190">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="400" name="Add_69/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="401" name="Add_69" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="191">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="402" name="Add_76/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="403" name="1896190014035" type="Const" version="opset1">
<data offset="906236" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="404" name="1897190113747" type="Const" version="opset1">
<data offset="906240" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="405" name="1898190212934" type="Const" version="opset1">
<data offset="906236" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="406" name="1899190313669" type="Const" version="opset1">
<data offset="906240" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="407" name="2736274014086" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2737274112859" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="2738274213702" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2739274312694" type="Const" version="opset1">
<data offset="20" size="4" shape="1,1,1,1" element_type="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="model.6.m.2.cv1.conv.weight5456798/quantized768113936" type="Const" version="opset1">
<data offset="906244" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="412" name="model.6.m.2.cv1.conv.weight5456798/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="413" name="Conv_70/WithoutBiases/fq_weights_1/zero_point770014230" type="Const" version="opset1">
<data offset="922628" 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="414" name="Conv_70/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="415" name="Conv_70/WithoutBiases/fq_weights_1/scale768914221" type="Const" version="opset1">
<data offset="923140" 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="Conv_70/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="417" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="418" name="Conv_70/Dims372654712781" type="Const" version="opset1">
<data offset="923652" 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="419" name="Conv_70" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="420" name="Mul_72" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="194">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="421" name="Conv_73/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="422" name="model.6.m.2.cv2.conv.weight5506800/quantized774112919" type="Const" version="opset1">
<data offset="924164" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="423" name="model.6.m.2.cv2.conv.weight5506800/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="424" name="Conv_73/WithoutBiases/fq_weights_1/zero_point776012571" type="Const" version="opset1">
<data offset="1071620" 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="425" name="Conv_73/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="426" name="Conv_73/WithoutBiases/fq_weights_1/scale774912439" type="Const" version="opset1">
<data offset="1072132" 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="Conv_73/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="428" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="429" name="Conv_73/Dims363655213399" type="Const" version="opset1">
<data offset="1072644" 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="430" name="Conv_73" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="431" name="Mul_75" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="197">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="432" name="Add_76/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="433" name="Add_76" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="198">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="434" name="Concat_80/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="435" name="4281428512916" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="436" name="4282428614101" type="Const" version="opset1">
<data offset="1073156" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="437" name="4283428713588" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="438" name="4284428814011" type="Const" version="opset1">
<data offset="1073156" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="439" name="model.6.cv2.conv.weight5566802/quantized756113519" type="Const" version="opset1">
<data offset="1073160" size="32768" shape="128,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="440" name="model.6.cv2.conv.weight5566802/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="441" name="Conv_77/WithoutBiases/fq_weights_1/zero_point758012382" type="Const" version="opset1">
<data offset="1105928" 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="442" name="Conv_77/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="443" name="Conv_77/WithoutBiases/fq_weights_1/scale756913162" type="Const" version="opset1">
<data offset="1106440" 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="444" name="Conv_77/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="445" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="446" name="Conv_77/Dims357655813543" type="Const" version="opset1">
<data offset="1106952" 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="447" name="Conv_77" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="448" name="Mul_79" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="201">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="449" name="Concat_80/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="450" name="Concat_80" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="202">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="451" name="model.6.cv3.conv.weight5626804/quantized789113039" type="Const" version="opset1">
<data offset="1107464" size="65536" shape="256,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="452" name="model.6.cv3.conv.weight5626804/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="453" name="Conv_81/WithoutBiases/fq_weights_1/zero_point791014173" type="Const" version="opset1">
<data offset="1173000" 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="454" name="Conv_81/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="455" name="Conv_81/WithoutBiases/fq_weights_1/scale789912580" type="Const" version="opset1">
<data offset="1174024" 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="456" name="Conv_81/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="457" 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>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="458" name="Conv_81/Dims373256413459" type="Const" version="opset1">
<data offset="1175048" 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="459" name="Conv_81" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="460" name="Mul_83" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="205">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="461" name="Concat_118/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="462" name="3991399513912" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="463" name="3992399613891" type="Const" version="opset1">
<data offset="1176072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="464" name="3993399714218" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="465" name="3994399813705" type="Const" version="opset1">
<data offset="1176072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="466" name="Resize_117/StridedSlice_scales28691421463013894" type="Const" version="opset1">
<data offset="240024" size="8" shape="2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="467" name="Resize_117/axis28531394763113522" type="Const" version="opset1">
<data offset="240032" size="16" shape="2" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="468" name="4181418513135" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="469" name="4182418613483" type="Const" version="opset1">
<data offset="1176072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="470" name="4183418713291" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="471" name="4184418813843" type="Const" version="opset1">
<data offset="1176072" size="4" shape="1,1,1,1" element_type="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="2206221013816" type="Const" version="opset1">
<data offset="1176076" size="4" shape="1,1,1,1" element_type="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="2207221112997" type="Const" version="opset1">
<data offset="1176080" size="4" shape="1,1,1,1" element_type="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="2208221212616" type="Const" version="opset1">
<data offset="1176076" size="4" shape="1,1,1,1" element_type="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="2209221313000" type="Const" version="opset1">
<data offset="1176080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="476" name="3891389513660" type="Const" version="opset1">
<data offset="76" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="477" name="3892389613315" type="Const" version="opset1">
<data offset="1176084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="478" name="3893389713840" type="Const" version="opset1">
<data offset="76" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="479" name="3894389813264" type="Const" version="opset1">
<data offset="1176084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="480" name="2156216012496" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="481" name="2157216113003" type="Const" version="opset1">
<data offset="1176088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="482" name="2158216214269" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="483" name="2159216312493" type="Const" version="opset1">
<data offset="1176088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="484" name="3871387512397" type="Const" version="opset1">
<data offset="1176092" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="485" name="3872387614302" type="Const" version="opset1">
<data offset="1176096" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="486" name="3873387714119" type="Const" version="opset1">
<data offset="1176092" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="487" name="3874387812598" type="Const" version="opset1">
<data offset="1176096" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="488" name="1946195012475" type="Const" version="opset1">
<data offset="1176100" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="489" name="1947195114071" type="Const" version="opset1">
<data offset="1176104" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="490" name="1948195213336" type="Const" version="opset1">
<data offset="1176100" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="491" name="1949195312355" type="Const" version="opset1">
<data offset="1176104" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="492" name="1466147012670" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1467147113594" type="Const" version="opset1">
<data offset="1176108" size="4" shape="1,1,1,1" element_type="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="1468147213495" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="1469147312727" type="Const" version="opset1">
<data offset="1176108" size="4" shape="1,1,1,1" element_type="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="model.7.conv.weight5676806/quantized831113153" type="Const" version="opset1">
<data offset="1176112" size="1179648" shape="512,256,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="497" name="model.7.conv.weight5676806/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="498" name="Conv_84/WithoutBiases/fq_weights_1/zero_point833013018" type="Const" version="opset1">
<data offset="2355760" 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="499" name="Conv_84/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="500" name="Conv_84/WithoutBiases/fq_weights_1/scale831913612" type="Const" version="opset1">
<data offset="2357808" 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="501" name="Conv_84/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="502" 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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="503" name="Conv_84/Dims354656913147" type="Const" version="opset1">
<data offset="2359856" 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="504" name="Conv_84" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="505" name="Mul_86" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="208">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="506" name="Conv_87/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="507" name="model.8.cv1.conv.weight5726808/quantized846113138" type="Const" version="opset1">
<data offset="2361904" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="508" name="model.8.cv1.conv.weight5726808/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="509" name="Conv_87/WithoutBiases/fq_weights_1/zero_point848012898" type="Const" version="opset1">
<data offset="2492976" 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="510" name="Conv_87/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="511" name="Conv_87/WithoutBiases/fq_weights_1/scale846913261" type="Const" version="opset1">
<data offset="2494000" 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="512" name="Conv_87/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="513" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="514" name="Conv_87/Dims384657413258" type="Const" version="opset1">
<data offset="2495024" 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="515" name="Conv_87" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="516" name="Mul_89" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="211">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="517" name="Add_96/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="518" name="1956196013525" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="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="1957196112595" type="Const" version="opset1">
<data offset="2496048" size="4" shape="1,1,1,1" element_type="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="1958196212655" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="521" name="1959196312913" type="Const" version="opset1">
<data offset="2496048" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="522" name="1666167012433" type="Const" version="opset1">
<data offset="2496052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="523" name="1667167112838" type="Const" version="opset1">
<data offset="2496056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="524" name="1668167213009" type="Const" version="opset1">
<data offset="2496052" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="525" name="1669167313231" type="Const" version="opset1">
<data offset="2496056" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="526" name="model.8.m.0.cv1.conv.weight5776810/quantized864112847" type="Const" version="opset1">
<data offset="2496060" size="65536" shape="256,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="527" name="model.8.m.0.cv1.conv.weight5776810/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="528" name="Conv_90/WithoutBiases/fq_weights_1/zero_point866012667" type="Const" version="opset1">
<data offset="2561596" 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="529" name="Conv_90/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="530" name="Conv_90/WithoutBiases/fq_weights_1/scale864913465" type="Const" version="opset1">
<data offset="2562620" 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="531" name="Conv_90/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="532" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="533" name="Conv_90/Dims360057913180" type="Const" version="opset1">
<data offset="2563644" 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="534" name="Conv_90" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="535" name="Mul_92" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="214">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="536" name="Conv_93/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="537" name="model.8.m.0.cv2.conv.weight5826812/quantized960114287" type="Const" version="opset1">
<data offset="2564668" size="589824" shape="256,256,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="538" name="model.8.m.0.cv2.conv.weight5826812/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="539" name="Conv_93/WithoutBiases/fq_weights_1/zero_point962012889" type="Const" version="opset1">
<data offset="3154492" 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="540" name="Conv_93/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="541" name="Conv_93/WithoutBiases/fq_weights_1/scale960912931" type="Const" version="opset1">
<data offset="3155516" 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="542" name="Conv_93/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="543" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="544" name="Conv_93/Dims366058414170" type="Const" version="opset1">
<data offset="3156540" 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="545" name="Conv_93" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="546" name="Mul_95" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="217">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="547" name="Add_96/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="548" name="Add_96" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="218">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="549" name="Concat_100/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="550" name="3881388512682" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="551" name="3882388612730" type="Const" version="opset1">
<data offset="3157564" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="552" name="3883388713477" type="Const" version="opset1">
<data offset="92" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="553" name="3884388813915" type="Const" version="opset1">
<data offset="3157564" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="554" name="model.8.cv2.conv.weight5886814/quantized810114239" type="Const" version="opset1">
<data offset="3157568" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="555" name="model.8.cv2.conv.weight5886814/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="556" name="Conv_97/WithoutBiases/fq_weights_1/zero_point812013945" type="Const" version="opset1">
<data offset="3288640" 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="557" name="Conv_97/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="558" name="Conv_97/WithoutBiases/fq_weights_1/scale810912697" type="Const" version="opset1">
<data offset="3289664" 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="559" name="Conv_97/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="560" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="561" name="Conv_97/Dims379859013504" type="Const" version="opset1">
<data offset="3290688" 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="562" name="Conv_97" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="563" name="Mul_99" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="221">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="564" name="Concat_100/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="565" name="Concat_100" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="222">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="566" name="model.8.cv3.conv.weight5946816/quantized867113828" type="Const" version="opset1">
<data offset="3291712" size="262144" shape="512,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="567" name="model.8.cv3.conv.weight5946816/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="568" name="Conv_101/WithoutBiases/fq_weights_1/zero_point869013060" type="Const" version="opset1">
<data offset="3553856" 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="569" name="Conv_101/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="570" name="Conv_101/WithoutBiases/fq_weights_1/scale867913078" type="Const" version="opset1">
<data offset="3555904" 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="571" name="Conv_101/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="572" 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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="573" name="Conv_101/Dims364859613813" type="Const" version="opset1">
<data offset="3557952" 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="574" name="Conv_101" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="575" name="Mul_103" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="225">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="576" name="Conv_104/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="577" name="model.9.cv1.conv.weight5996818/quantized876113711" type="Const" version="opset1">
<data offset="3560000" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="578" name="model.9.cv1.conv.weight5996818/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="579" name="Conv_104/WithoutBiases/fq_weights_1/zero_point878013384" type="Const" version="opset1">
<data offset="3691072" 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="Conv_104/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="581" name="Conv_104/WithoutBiases/fq_weights_1/scale876913156" type="Const" version="opset1">
<data offset="3692096" 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="Conv_104/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="583" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="584" name="Conv_104/Dims360660112544" type="Const" version="opset1">
<data offset="3693120" 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="585" name="Conv_104" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="586" name="Mul_106" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="228">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="587" name="Concat_110/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="588" 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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="229">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="589" 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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="230">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="590" 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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="231">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="591" name="Concat_110" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="3">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="232">
<dim>1</dim>
<dim>1024</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="592" name="model.9.cv2.conv.weight6086820/quantized834114233" type="Const" version="opset1">
<data offset="3694144" size="524288" shape="512,1024,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="593" name="model.9.cv2.conv.weight6086820/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="594" name="Conv_111/WithoutBiases/fq_weights_1/zero_point836014290" type="Const" version="opset1">
<data offset="4218432" 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="595" name="Conv_111/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="596" name="Conv_111/WithoutBiases/fq_weights_1/scale834913345" type="Const" version="opset1">
<data offset="4220480" 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="597" name="Conv_111/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="598" 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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="599" name="Conv_111/Dims364261013282" type="Const" version="opset1">
<data offset="4222528" 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="600" name="Conv_111" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="601" name="Mul_113" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="235">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="602" name="Conv_114/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="603" name="model.10.conv.weight6136822/quantized777113096" type="Const" version="opset1">
<data offset="4224576" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="604" name="model.10.conv.weight6136822/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="605" name="Conv_114/WithoutBiases/fq_weights_1/zero_point779013546" type="Const" version="opset1">
<data offset="4355648" 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="606" name="Conv_114/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="607" name="Conv_114/WithoutBiases/fq_weights_1/scale777912775" type="Const" version="opset1">
<data offset="4356672" 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="608" name="Conv_114/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="609" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="610" name="Conv_114/Dims375661514182" type="Const" version="opset1">
<data offset="4357696" 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="611" name="Conv_114" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="612" name="Mul_116" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="238">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="613" name="Concat_179/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="614" name="Resize_117/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i64"/>
<input>
<port id="0">
<dim>1</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="615" 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="616" name="52562013342" type="Const" version="opset1">
<data offset="4358720" size="16" shape="4" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="525">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="617" 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="618" name="Resize_117/Add_input_port_1/value28571414862214305" type="Const" version="opset1">
<data offset="4358736" size="4" shape="1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="619" 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="620" 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="621" 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="622" name="Resize_117/StridedSlice_sizes_input_port_1/value283913794626" type="Const" version="opset1">
<data offset="4358740" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="623" name="Resize_117/StridedSlice_sizes_input_port_2/value284113893627" type="Const" version="opset1">
<data offset="4358748" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="624" name="Resize_117/StridedSlice_sizes_input_port_3/value284313929628" type="Const" version="opset1">
<data offset="4358756" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="625" 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="626" 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>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="627" name="Concat_118/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="628" name="Concat_118" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="244">
<dim>1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="629" name="model.13.cv1.conv.weight6346831/quantized879113636" type="Const" version="opset1">
<data offset="4358764" size="65536" shape="128,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="630" name="model.13.cv1.conv.weight6346831/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="631" name="Conv_119/WithoutBiases/fq_weights_1/zero_point881012691" type="Const" version="opset1">
<data offset="4424300" 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="632" name="Conv_119/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="633" name="Conv_119/WithoutBiases/fq_weights_1/scale879913456" type="Const" version="opset1">
<data offset="4424812" 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="634" name="Conv_119/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="635" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="636" name="Conv_119/Dims361263613738" type="Const" version="opset1">
<data offset="4425324" 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="637" name="Conv_119" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="638" name="Mul_121" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="247">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="639" name="Conv_122/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="640" name="model.13.m.0.cv1.conv.weight6396833/quantized954114107" type="Const" version="opset1">
<data offset="4425836" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="641" name="model.13.m.0.cv1.conv.weight6396833/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="642" name="Conv_122/WithoutBiases/fq_weights_1/zero_point956012388" type="Const" version="opset1">
<data offset="4442220" 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="643" name="Conv_122/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="644" name="Conv_122/WithoutBiases/fq_weights_1/scale954913615" type="Const" version="opset1">
<data offset="4442732" 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="645" name="Conv_122/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="646" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="647" name="Conv_122/Dims358264112754" type="Const" version="opset1">
<data offset="4443244" 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="648" name="Conv_122" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="649" name="Mul_124" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="250">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="650" name="Conv_125/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="651" name="model.13.m.0.cv2.conv.weight6446835/quantized897113171" type="Const" version="opset1">
<data offset="4443756" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="652" name="model.13.m.0.cv2.conv.weight6446835/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="653" name="Conv_125/WithoutBiases/fq_weights_1/zero_point899013351" type="Const" version="opset1">
<data offset="4591212" 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="654" name="Conv_125/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="655" name="Conv_125/WithoutBiases/fq_weights_1/scale897912709" type="Const" version="opset1">
<data offset="4591724" 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="656" name="Conv_125/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="657" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="658" name="Conv_125/Dims352864614140" type="Const" version="opset1">
<data offset="4592236" 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="659" name="Conv_125" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="660" name="Mul_127" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="253">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="661" name="Concat_131/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="662" name="4041404514134" type="Const" version="opset1">
<data offset="4592748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="663" name="4042404613792" type="Const" version="opset1">
<data offset="4592752" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="664" name="4043404713090" type="Const" version="opset1">
<data offset="4592748" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="665" name="4044404812406" type="Const" version="opset1">
<data offset="4592752" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="666" name="model.13.cv2.conv.weight6496837/quantized933113927" type="Const" version="opset1">
<data offset="4592756" size="65536" shape="128,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="667" name="model.13.cv2.conv.weight6496837/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="668" name="Conv_128/WithoutBiases/fq_weights_1/zero_point935013378" type="Const" version="opset1">
<data offset="4658292" 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="669" name="Conv_128/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="670" name="Conv_128/WithoutBiases/fq_weights_1/scale933913255" type="Const" version="opset1">
<data offset="4658804" 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="671" name="Conv_128/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="672" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="673" name="Conv_128/Dims351665114017" type="Const" version="opset1">
<data offset="4659316" 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="674" name="Conv_128" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="675" name="Mul_130" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="256">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="676" name="Concat_131/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="677" name="Concat_131" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="257">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="678" name="model.13.cv3.conv.weight6556839/quantized840113720" type="Const" version="opset1">
<data offset="4659828" size="65536" shape="256,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="679" name="model.13.cv3.conv.weight6556839/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="680" name="Conv_132/WithoutBiases/fq_weights_1/zero_point842012454" type="Const" version="opset1">
<data offset="4725364" 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="681" name="Conv_132/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="682" name="Conv_132/WithoutBiases/fq_weights_1/scale840913729" type="Const" version="opset1">
<data offset="4726388" 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="683" name="Conv_132/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="684" 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>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="685" name="Conv_132/Dims377465713984" type="Const" version="opset1">
<data offset="4727412" 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="686" name="Conv_132" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="687" name="Mul_134" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="260">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="688" name="Conv_135/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="689" name="model.14.conv.weight6606841/quantized855113363" type="Const" version="opset1">
<data offset="4728436" size="32768" shape="128,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="690" name="model.14.conv.weight6606841/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="691" name="Conv_135/WithoutBiases/fq_weights_1/zero_point857012658" type="Const" version="opset1">
<data offset="4761204" 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="Conv_135/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="693" name="Conv_135/WithoutBiases/fq_weights_1/scale855912541" type="Const" version="opset1">
<data offset="4761716" 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="Conv_135/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="695" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="696" name="Conv_135/Dims386466212556" type="Const" version="opset1">
<data offset="4762228" 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="697" name="Conv_135" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="698" name="Mul_137" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="263">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="699" name="Concat_159/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="700" name="Resize_138/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i64"/>
<input>
<port id="0">
<dim>1</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="701" 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="702" name="5251410366712745" type="Const" version="opset1">
<data offset="4358720" size="16" shape="4" element_type="f32"/>
<output>
<port id="0" precision="FP32" names="525">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="703" 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="704" name="Resize_138/Add_input_port_1/value28911383366913978" type="Const" version="opset1">
<data offset="4358736" size="4" shape="1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="705" 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="706" 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="707" 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="708" name="Resize_138/StridedSlice_sizes_input_port_1/value287314190673" type="Const" version="opset1">
<data offset="4358740" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="709" name="Resize_138/StridedSlice_sizes_input_port_2/value287514106674" type="Const" version="opset1">
<data offset="4358748" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="710" name="Resize_138/StridedSlice_sizes_input_port_3/value287714118675" type="Const" version="opset1">
<data offset="4358756" size="8" shape="1" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="711" 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="712" 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>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="713" name="Concat_139/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="714" name="Concat_139" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="269">
<dim>1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="715" name="model.17.cv1.conv.weight6816850/quantized924112796" type="Const" version="opset1">
<data offset="4762740" size="16384" shape="64,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="716" name="model.17.cv1.conv.weight6816850/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="717" name="Conv_140/WithoutBiases/fq_weights_1/zero_point926013030" type="Const" version="opset1">
<data offset="4779124" 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="718" name="Conv_140/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="719" name="Conv_140/WithoutBiases/fq_weights_1/scale924912628" type="Const" version="opset1">
<data offset="4779380" 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="720" name="Conv_140/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="721" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="722" name="Conv_140/Dims354068313783" type="Const" version="opset1">
<data offset="4779636" 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="723" name="Conv_140" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="724" name="Mul_142" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="272">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="725" name="Conv_143/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="726" name="model.17.m.0.cv1.conv.weight6866852/quantized918114308" type="Const" version="opset1">
<data offset="4779892" size="4096" shape="64,64,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="727" name="model.17.m.0.cv1.conv.weight6866852/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="728" name="Conv_143/WithoutBiases/fq_weights_1/zero_point920014248" type="Const" version="opset1">
<data offset="4783988" 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="729" name="Conv_143/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="730" name="Conv_143/WithoutBiases/fq_weights_1/scale918913645" type="Const" version="opset1">
<data offset="4784244" 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="731" name="Conv_143/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="732" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="733" name="Conv_143/Dims351068812460" type="Const" version="opset1">
<data offset="4784500" 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="734" name="Conv_143" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="735" name="Mul_145" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="275">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="736" name="Conv_146/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="737" name="model.17.m.0.cv2.conv.weight6916854/quantized891113933" type="Const" version="opset1">
<data offset="4784756" size="36864" shape="64,64,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="738" name="model.17.m.0.cv2.conv.weight6916854/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="739" name="Conv_146/WithoutBiases/fq_weights_1/zero_point893014206" type="Const" version="opset1">
<data offset="4821620" 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="Conv_146/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="741" name="Conv_146/WithoutBiases/fq_weights_1/scale891913111" type="Const" version="opset1">
<data offset="4821876" 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="Conv_146/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="743" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="744" name="Conv_146/Dims353469313468" type="Const" version="opset1">
<data offset="4822132" 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="745" name="Conv_146" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="746" name="Mul_148" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="278">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="747" name="Concat_152/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="748" name="4101410512748" type="Const" version="opset1">
<data offset="4822388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="749" name="4102410613405" type="Const" version="opset1">
<data offset="4822392" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="750" name="4103410713879" type="Const" version="opset1">
<data offset="4822388" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="751" name="4104410813306" type="Const" version="opset1">
<data offset="4822392" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="752" name="model.17.cv2.conv.weight6966856/quantized969114296" type="Const" version="opset1">
<data offset="4822396" size="16384" shape="64,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="753" name="model.17.cv2.conv.weight6966856/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="754" name="Conv_149/WithoutBiases/fq_weights_1/zero_point971012379" type="Const" version="opset1">
<data offset="4838780" 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="755" name="Conv_149/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="756" name="Conv_149/WithoutBiases/fq_weights_1/scale969912487" type="Const" version="opset1">
<data offset="4839036" 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="757" name="Conv_149/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="758" 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>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="759" name="Conv_149/Dims382269813480" type="Const" version="opset1">
<data offset="4839292" 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="760" name="Conv_149" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="761" name="Mul_151" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="281">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="762" name="Concat_152/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="763" name="Concat_152" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="282">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="764" name="model.17.cv3.conv.weight7026858/quantized900113168" type="Const" version="opset1">
<data offset="4839548" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="765" name="model.17.cv3.conv.weight7026858/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="766" name="Conv_153/WithoutBiases/fq_weights_1/zero_point902013717" type="Const" version="opset1">
<data offset="4855932" 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="767" name="Conv_153/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="768" name="Conv_153/WithoutBiases/fq_weights_1/scale900912646" type="Const" version="opset1">
<data offset="4856444" 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="769" name="Conv_153/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="770" 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>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="771" name="Conv_153/Dims369070412502" type="Const" version="opset1">
<data offset="4856956" 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="772" name="Conv_153" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="773" name="Mul_155" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="285">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="774" name="Conv_156/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="775" name="model.24.m.0.weight7876892/quantized870112943" type="Const" version="opset1">
<data offset="4857468" size="2304" shape="18,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="776" name="model.24.m.0.weight7876892/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="777" name="Conv_196/WithoutBiases/fq_weights_1/zero_point872013489" type="Const" version="opset1">
<data offset="4859772" 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="778" name="Conv_196/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="779" name="Conv_196/WithoutBiases/fq_weights_1/scale870913561" type="Const" version="opset1">
<data offset="4859844" 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="780" name="Conv_196/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>18</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</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>1</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>1</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="782" name="Conv_196/Dims365478913195" type="Const" version="opset1">
<data offset="4859916" 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>1</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>1</dim>
<dim>18</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="784" name="34879114179" type="Const" version="opset1">
<data offset="4859988" 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>1</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>1</dim>
<dim>3</dim>
<dim>6</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="786" name="400793" type="Const" version="opset1">
<data offset="4860028" 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>1</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>1</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>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</input>
</layer>
<layer id="789" name="2176218013327" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="790" name="2177218113450" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="791" name="2178218213819" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="792" name="2179218312817" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="793" name="4151415514200" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="794" name="4152415613081" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="795" name="4153415713348" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4154415813696" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="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="2026203012421" type="Const" version="opset1">
<data offset="4860072" size="4" shape="1,1,1,1" element_type="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="2027203112622" type="Const" version="opset1">
<data offset="4860076" size="4" shape="1,1,1,1" element_type="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="2028203213390" type="Const" version="opset1">
<data offset="4860072" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="800" name="2029203313036" type="Const" version="opset1">
<data offset="4860076" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="801" name="1986199013072" type="Const" version="opset1">
<data offset="4860080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="802" name="1987199113732" type="Const" version="opset1">
<data offset="4860084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="803" name="1988199212874" type="Const" version="opset1">
<data offset="4860080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="804" name="1989199314146" type="Const" version="opset1">
<data offset="4860084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="805" name="4111411513093" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4112411613303" type="Const" version="opset1">
<data offset="4860088" size="4" shape="1,1,1,1" element_type="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="4113411712469" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="4114411813534" type="Const" version="opset1">
<data offset="4860088" size="4" shape="1,1,1,1" element_type="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="model.18.conv.weight7076860/quantized939113012" type="Const" version="opset1">
<data offset="4860092" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="810" name="model.18.conv.weight7076860/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="811" name="Conv_156/WithoutBiases/fq_weights_1/zero_point941012883" type="Const" version="opset1">
<data offset="5007548" 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="812" name="Conv_156/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="813" name="Conv_156/WithoutBiases/fq_weights_1/scale939914128" type="Const" version="opset1">
<data offset="5008060" 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="814" name="Conv_156/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="815" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="816" name="Conv_156/Dims367870913762" type="Const" version="opset1">
<data offset="5008572" 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="817" name="Conv_156" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="818" name="Mul_158" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="288">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="819" name="Concat_159/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="820" name="Concat_159" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="289">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="821" name="model.20.cv1.conv.weight7136862/quantized786112364" type="Const" version="opset1">
<data offset="5009084" size="32768" shape="128,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="822" name="model.20.cv1.conv.weight7136862/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="823" name="Conv_160/WithoutBiases/fq_weights_1/zero_point788013201" type="Const" version="opset1">
<data offset="5041852" 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="824" name="Conv_160/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="825" name="Conv_160/WithoutBiases/fq_weights_1/scale786913357" type="Const" version="opset1">
<data offset="5042364" 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="826" name="Conv_160/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="827" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="828" name="Conv_160/Dims373871513102" type="Const" version="opset1">
<data offset="5042876" 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="829" name="Conv_160" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="830" name="Mul_162" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="292">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="831" name="Conv_163/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="832" name="model.20.m.0.cv1.conv.weight7186864/quantized873113957" type="Const" version="opset1">
<data offset="5043388" size="16384" shape="128,128,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="833" name="model.20.m.0.cv1.conv.weight7186864/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="834" name="Conv_163/WithoutBiases/fq_weights_1/zero_point875012376" type="Const" version="opset1">
<data offset="5059772" 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="835" name="Conv_163/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="836" name="Conv_163/WithoutBiases/fq_weights_1/scale873913990" type="Const" version="opset1">
<data offset="5060284" 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="837" name="Conv_163/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="838" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="839" name="Conv_163/Dims381072013888" type="Const" version="opset1">
<data offset="5060796" 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="840" name="Conv_163" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="841" name="Mul_165" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="295">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="842" name="Conv_166/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="843" name="model.20.m.0.cv2.conv.weight7236866/quantized804112664" type="Const" version="opset1">
<data offset="5061308" size="147456" shape="128,128,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="844" name="model.20.m.0.cv2.conv.weight7236866/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="845" name="Conv_166/WithoutBiases/fq_weights_1/zero_point806012976" type="Const" version="opset1">
<data offset="5208764" 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="Conv_166/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="847" name="Conv_166/WithoutBiases/fq_weights_1/scale804913411" type="Const" version="opset1">
<data offset="5209276" 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="Conv_166/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="849" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="850" name="Conv_166/Dims371472513333" type="Const" version="opset1">
<data offset="5209788" 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="851" name="Conv_166" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="852" name="Mul_168" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="298">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="853" name="Concat_172/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="854" name="4161416513189" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="855" name="4162416613618" type="Const" version="opset1">
<data offset="5210300" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="856" name="4163416713675" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="857" name="4164416814023" type="Const" version="opset1">
<data offset="5210300" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="858" name="model.20.cv2.conv.weight7286868/quantized828114074" type="Const" version="opset1">
<data offset="5210304" size="32768" shape="128,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="859" name="model.20.cv2.conv.weight7286868/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="860" name="Conv_169/WithoutBiases/fq_weights_1/zero_point830014137" type="Const" version="opset1">
<data offset="5243072" 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="861" name="Conv_169/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="862" name="Conv_169/WithoutBiases/fq_weights_1/scale828912517" type="Const" version="opset1">
<data offset="5243584" 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="863" name="Conv_169/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="864" 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>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="865" name="Conv_169/Dims355273013309" type="Const" version="opset1">
<data offset="5244096" 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="866" name="Conv_169" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="867" name="Mul_171" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="301">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="868" name="Concat_172/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="869" name="Concat_172" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="302">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="870" name="model.20.cv3.conv.weight7346870/quantized792112721" type="Const" version="opset1">
<data offset="5244608" size="65536" shape="256,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="871" name="model.20.cv3.conv.weight7346870/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="872" name="Conv_173/WithoutBiases/fq_weights_1/zero_point794013228" type="Const" version="opset1">
<data offset="5310144" 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="873" name="Conv_173/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="874" name="Conv_173/WithoutBiases/fq_weights_1/scale792913642" type="Const" version="opset1">
<data offset="5311168" 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="875" name="Conv_173/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="876" 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>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="877" name="Conv_173/Dims385273612367" type="Const" version="opset1">
<data offset="5312192" 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="878" name="Conv_173" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="879" name="Mul_175" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="305">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="880" name="Conv_176/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="881" name="model.24.m.1.weight7796888/quantized795113447" type="Const" version="opset1">
<data offset="5313216" size="4608" shape="18,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="882" name="model.24.m.1.weight7796888/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="883" name="Conv_250/WithoutBiases/fq_weights_1/zero_point797013708" type="Const" version="opset1">
<data offset="5317824" 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="884" name="Conv_250/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="885" name="Conv_250/WithoutBiases/fq_weights_1/scale795914098" type="Const" version="opset1">
<data offset="5317896" 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="886" name="Conv_250/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>18</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</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>1</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>1</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="888" name="Conv_250/Dims376878113849" type="Const" version="opset1">
<data offset="5317968" 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>1</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>1</dim>
<dim>18</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="890" name="41478313825" type="Const" version="opset1">
<data offset="5318040" 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>1</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>1</dim>
<dim>3</dim>
<dim>6</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="892" name="399785" type="Const" version="opset1">
<data offset="4860028" 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>1</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>1</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>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</input>
</layer>
<layer id="895" name="2066207013846" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2067207113681" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="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="2068207212613" type="Const" version="opset1">
<data offset="16" size="4" shape="1,1,1,1" element_type="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="2069207314113" type="Const" version="opset1">
<data offset="4860068" size="4" shape="1,1,1,1" element_type="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="4211421512565" type="Const" version="opset1">
<data offset="5318080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="900" name="4212421613198" type="Const" version="opset1">
<data offset="5318084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="901" name="4213421712700" type="Const" version="opset1">
<data offset="5318080" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="902" name="4214421813300" type="Const" version="opset1">
<data offset="5318084" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="903" name="1966197012790" type="Const" version="opset1">
<data offset="5318088" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="904" name="1967197113414" type="Const" version="opset1">
<data offset="5318092" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="905" name="1968197212673" type="Const" version="opset1">
<data offset="5318088" size="4" shape="1,1,1,1" element_type="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="1969197312763" type="Const" version="opset1">
<data offset="5318092" size="4" shape="1,1,1,1" element_type="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="2426243013105" type="Const" version="opset1">
<data offset="5318096" size="4" shape="1,1,1,1" element_type="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="2427243112901" type="Const" version="opset1">
<data offset="5318100" size="4" shape="1,1,1,1" element_type="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="2428243213312" type="Const" version="opset1">
<data offset="5318096" size="4" shape="1,1,1,1" element_type="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="2429243313567" type="Const" version="opset1">
<data offset="5318100" size="4" shape="1,1,1,1" element_type="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="4171417513294" type="Const" version="opset1">
<data offset="5318104" size="4" shape="1,1,1,1" element_type="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="4172417612787" type="Const" version="opset1">
<data offset="5318108" size="4" shape="1,1,1,1" element_type="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="4173417713528" type="Const" version="opset1">
<data offset="5318104" size="4" shape="1,1,1,1" element_type="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="4174417814080" type="Const" version="opset1">
<data offset="5318108" size="4" shape="1,1,1,1" element_type="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="model.21.conv.weight7396872/quantized963112826" type="Const" version="opset1">
<data offset="5318112" size="589824" shape="256,256,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="916" name="model.21.conv.weight7396872/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="917" name="Conv_176/WithoutBiases/fq_weights_1/zero_point965012733" type="Const" version="opset1">
<data offset="5907936" 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="Conv_176/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="919" name="Conv_176/WithoutBiases/fq_weights_1/scale963914083" type="Const" version="opset1">
<data offset="5908960" 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="Conv_176/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="921" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="922" name="Conv_176/Dims372074112640" type="Const" version="opset1">
<data offset="5909984" 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="923" name="Conv_176" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="924" name="Mul_178" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="308">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="925" name="Concat_179/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="926" name="Concat_179" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="309">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="927" name="model.23.cv1.conv.weight7456874/quantized843113141" type="Const" version="opset1">
<data offset="5911008" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="928" name="model.23.cv1.conv.weight7456874/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="929" name="Conv_180/WithoutBiases/fq_weights_1/zero_point845013087" type="Const" version="opset1">
<data offset="6042080" 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="Conv_180/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="931" name="Conv_180/WithoutBiases/fq_weights_1/scale843914245" type="Const" version="opset1">
<data offset="6043104" 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="932" name="Conv_180/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="933" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="934" name="Conv_180/Dims361874714143" type="Const" version="opset1">
<data offset="6044128" 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_180" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="936" name="Mul_182" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="312">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="937" name="Conv_183/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="938" name="model.23.m.0.cv1.conv.weight7506876/quantized771113396" type="Const" version="opset1">
<data offset="6045152" size="65536" shape="256,256,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="939" name="model.23.m.0.cv1.conv.weight7506876/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="940" name="Conv_183/WithoutBiases/fq_weights_1/zero_point773013714" type="Const" version="opset1">
<data offset="6110688" 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="941" name="Conv_183/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="942" name="Conv_183/WithoutBiases/fq_weights_1/scale771913804" type="Const" version="opset1">
<data offset="6111712" 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="943" name="Conv_183/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="944" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="945" name="Conv_183/Dims367275214203" type="Const" version="opset1">
<data offset="6112736" 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="946" name="Conv_183" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="947" name="Mul_185" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="315">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="948" name="Conv_186/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="949" name="model.23.m.0.cv2.conv.weight7556878/quantized915114062" type="Const" version="opset1">
<data offset="6113760" size="589824" shape="256,256,3,3" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="950" name="model.23.m.0.cv2.conv.weight7556878/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="951" name="Conv_186/WithoutBiases/fq_weights_1/zero_point917014188" type="Const" version="opset1">
<data offset="6703584" 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="952" name="Conv_186/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="953" name="Conv_186/WithoutBiases/fq_weights_1/scale915913756" type="Const" version="opset1">
<data offset="6704608" 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="954" name="Conv_186/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="955" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="956" name="Conv_186/Dims359475712577" type="Const" version="opset1">
<data offset="6705632" 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="957" name="Conv_186" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="958" name="Mul_188" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="318">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="959" name="Concat_192/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="960" name="4221422513174" type="Const" version="opset1">
<data offset="6706656" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="961" name="4222422613246" type="Const" version="opset1">
<data offset="6706660" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="962" name="4223422713909" type="Const" version="opset1">
<data offset="6706656" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="963" name="4224422813339" type="Const" version="opset1">
<data offset="6706660" size="4" shape="1,1,1,1" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="964" name="model.23.cv2.conv.weight7606880/quantized912113726" type="Const" version="opset1">
<data offset="6706664" size="131072" shape="256,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="965" name="model.23.cv2.conv.weight7606880/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="966" name="Conv_189/WithoutBiases/fq_weights_1/zero_point914014092" type="Const" version="opset1">
<data offset="6837736" 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="967" name="Conv_189/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="968" name="Conv_189/WithoutBiases/fq_weights_1/scale912912829" type="Const" version="opset1">
<data offset="6838760" 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="969" name="Conv_189/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="970" 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>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="971" name="Conv_189/Dims376276212505" type="Const" version="opset1">
<data offset="6839784" 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="972" name="Conv_189" type="Add" version="opset1">
<data auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="973" name="Mul_191" type="Swish" version="opset4">
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="321">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="974" name="Concat_192/fq_input_1" type="FakeQuantize" version="opset1">
<data levels="256" auto_broadcast="numpy"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="975" name="Concat_192" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="322">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="976" name="model.23.cv3.conv.weight7666882/quantized765113408" type="Const" version="opset1">
<data offset="6840808" size="262144" shape="512,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="977" name="model.23.cv3.conv.weight7666882/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="978" name="Conv_193/WithoutBiases/fq_weights_1/zero_point767014272" type="Const" version="opset1">
<data offset="7102952" 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="979" name="Conv_193/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="980" name="Conv_193/WithoutBiases/fq_weights_1/scale765912649" type="Const" version="opset1">
<data offset="7105000" 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="981" name="Conv_193/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="983" name="Conv_193/Dims383476812436" type="Const" version="opset1">
<data offset="7107048" 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>1</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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="325">
<dim>1</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>1</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>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="987" name="model.24.m.2.weight7716884/quantized759113882" type="Const" version="opset1">
<data offset="7109096" size="9216" shape="18,512,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="988" name="model.24.m.2.weight7716884/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="989" name="Conv_304/WithoutBiases/fq_weights_1/zero_point761013360" type="Const" version="opset1">
<data offset="7118312" 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="Conv_304/WithoutBiases/fq_weights_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>18</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="991" name="Conv_304/WithoutBiases/fq_weights_1/scale759913858" type="Const" version="opset1">
<data offset="7118384" 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="992" name="Conv_304/WithoutBiases/fq_weights_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" 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>1</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>1</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="994" name="Conv_304/Dims366677313801" type="Const" version="opset1">
<data offset="7118456" 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>1</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>1</dim>
<dim>18</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="996" name="48077513123" type="Const" version="opset1">
<data offset="7118528" 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>1</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>1</dim>
<dim>3</dim>
<dim>6</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="998" name="398777" type="Const" version="opset1">
<data offset="4860028" 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>1</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>1</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>1</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>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="351">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1002" name="47251425079614056" type="Const" version="opset1">
<data offset="4358748" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1003" name="47271392079713903" type="Const" version="opset1">
<data offset="7118568" 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>1</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>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="369">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="380">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1005" name="2446245012811" type="Const" version="opset1">
<data offset="7118592" 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="2447245112949" type="Const" version="opset1">
<data offset="7118596" 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="2448245212784" type="Const" version="opset1">
<data offset="7118592" 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="2449245313873" type="Const" version="opset1">
<data offset="7118596" 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="1446145013318" type="Const" version="opset1">
<data offset="7118600" 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="1010" name="1447145112523" type="Const" version="opset1">
<data offset="7118604" 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="1448145213420" type="Const" version="opset1">
<data offset="7118600" 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="1449145312604" type="Const" version="opset1">
<data offset="7118604" 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="3571386380113444" type="Const" version="opset1">
<data offset="7118608" 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="1014" name="2546255012607" type="Const" version="opset1">
<data offset="7118612" 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="1015" name="2547255113048" type="Const" version="opset1">
<data offset="7118616" 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="1016" name="2548255212601" type="Const" version="opset1">
<data offset="7118612" 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="1017" name="2549255313057" type="Const" version="opset1">
<data offset="7118616" 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="1018" name="Mul_222/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1019" name="Mul_222" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="358">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1020" name="3591414580312835" type="Const" version="opset1">
<data offset="7118620" 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="1021" name="Sub_224" type="Add" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="360">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1022" name="Add_226/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1023" name="3618056900/quantized894113321" type="Const" version="opset1">
<data offset="7118624" size="38400" shape="1,3,80,80,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1024" name="3618056900/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1025" name="Add_226/fq_input_1/zero_point896012964" type="Const" version="opset1">
<data offset="7118612" 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="1026" name="Add_226/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1027" name="Add_226/fq_input_1/scale894913996" type="Const" version="opset1">
<data offset="7157024" 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="1028" name="Add_226/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1029" name="Add_226" type="Add" version="opset1">
<data 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>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="362">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1030" name="Mul_228/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1031" name="3638076901/quantized903112583" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1032" name="3638076901/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1033" name="Mul_228/fq_input_1/zero_point905013855" type="Const" version="opset1">
<data offset="7118612" 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="Mul_228/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1035" name="Mul_228/fq_input_1/scale903913621" type="Const" version="opset1">
<data offset="7157029" 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="Mul_228/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1037" name="Mul_228" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="364">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1038" name="1626163012409" type="Const" version="opset1">
<data offset="7118612" 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="1627163114068" type="Const" version="opset1">
<data offset="7157033" 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="1628163213906" type="Const" version="opset1">
<data offset="7118612" 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="1629163313861" type="Const" version="opset1">
<data offset="7157033" 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="1042" name="3571422981114122" type="Const" version="opset1">
<data offset="7118608" 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="1043" name="1856186012418" type="Const" version="opset1">
<data offset="7118612" 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="1857186112352" type="Const" version="opset1">
<data offset="7157037" 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="1858186212910" type="Const" version="opset1">
<data offset="7118612" 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="1859186312832" type="Const" version="opset1">
<data offset="7157037" 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="1047" name="2856286114194" type="Const" version="opset1">
<data offset="7118612" 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="1048" name="2857286213573" type="Const" version="opset1">
<data offset="7157041" 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="1049" name="2859286312985" type="Const" version="opset1">
<data offset="7118612" 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="1050" name="2860286414077" type="Const" version="opset1">
<data offset="7157041" 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="1051" name="Mul_235/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1052" name="357142628096902/quantized762114032" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1053" name="357142628096902/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1054" name="Mul_235/fq_input_1/zero_point764014044" type="Const" version="opset1">
<data offset="7118612" 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="Mul_235/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1056" name="Mul_235/fq_input_1/scale762912793" type="Const" version="opset1">
<data offset="7157045" 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="1057" name="Mul_235/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1058" name="Mul_235" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="371">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1059" name="Pow_237/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1060" name="Pow_237" type="Power" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="373">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1061" name="Mul_239/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1062" name="3748136904/quantized957113075" type="Const" version="opset1">
<data offset="7157049" size="38400" shape="1,3,80,80,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1063" name="3748136904/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1064" name="Mul_239/fq_input_1/zero_point959012481" type="Const" version="opset1">
<data offset="7118612" 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="1065" name="Mul_239/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1066" name="Mul_239/fq_input_1/scale957912850" type="Const" version="opset1">
<data offset="7195449" 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="Mul_239/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1068" name="Mul_239" type="Multiply" version="opset1">
<data 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>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="375">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1069" name="Concat_245" type="Concat" version="opset1">
<data axis="4"/>
<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>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="381">
<dim>1</dim>
<dim>3</dim>
<dim>80</dim>
<dim>80</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1070" name="39081613213" type="Const" version="opset1">
<data offset="7195453" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="390">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1071" name="Reshape_249" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>19200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1072" name="Sigmoid_269" type="Sigmoid" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="417">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1073" name="47301398981912631" type="Const" version="opset1">
<data offset="4358748" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1074" name="47321423582013354" type="Const" version="opset1">
<data offset="7118568" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1075" name="Slice_274/Split" type="VariadicSplit" version="opset1">
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="435">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="446">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1076" name="2696270013435" type="Const" version="opset1">
<data offset="7118612" 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="2697270113192" type="Const" version="opset1">
<data offset="7195477" 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="2698270214227" type="Const" version="opset1">
<data offset="7118612" 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="2699270313273" type="Const" version="opset1">
<data offset="7195477" 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="1080" name="2796280012484" type="Const" version="opset1">
<data offset="7195481" 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="1081" name="2797280113774" type="Const" version="opset1">
<data offset="7195485" 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="1082" name="2798280213015" type="Const" version="opset1">
<data offset="7195481" 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="1083" name="2799280313663" type="Const" version="opset1">
<data offset="7195485" 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="1084" name="3571397782412652" type="Const" version="opset1">
<data offset="7118608" 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="1085" name="1416142012451" type="Const" version="opset1">
<data offset="7118612" 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="1417142112988" type="Const" version="opset1">
<data offset="7195489" 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="1418142214311" type="Const" version="opset1">
<data offset="7118612" 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="1419142312928" type="Const" version="opset1">
<data offset="7195489" 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="1089" name="Mul_276/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="Mul_276" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="424">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1091" name="3591394482613285" type="Const" version="opset1">
<data offset="7118620" 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="1092" name="Sub_278" type="Add" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="426">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1093" name="Add_280/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1094" name="4278286910/quantized921112946" type="Const" version="opset1">
<data offset="7195493" size="9600" shape="1,3,40,40,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1095" name="4278286910/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1096" name="Add_280/fq_input_1/zero_point923013672" type="Const" version="opset1">
<data offset="7118612" 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="1097" name="Add_280/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1098" name="Add_280/fq_input_1/scale921913759" type="Const" version="opset1">
<data offset="7205093" 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="1099" name="Add_280/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1100" name="Add_280" type="Add" version="opset1">
<data 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>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="428">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1101" name="Mul_282/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1102" name="4298306911/quantized948113789" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1103" name="4298306911/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1104" name="Mul_282/fq_input_1/zero_point950013219" type="Const" version="opset1">
<data offset="7118612" 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="Mul_282/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1106" name="Mul_282/fq_input_1/scale948912940" type="Const" version="opset1">
<data offset="7205097" 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="Mul_282/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1108" name="Mul_282" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="430">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1109" name="1586159013429" type="Const" version="opset1">
<data offset="7118612" 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="1587159112766" type="Const" version="opset1">
<data offset="7205101" 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="1588159213699" type="Const" version="opset1">
<data offset="7118612" 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="1589159313387" type="Const" version="opset1">
<data offset="7205101" 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="1113" name="3571385483412400" type="Const" version="opset1">
<data offset="7118608" 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="1114" name="2196220014149" type="Const" version="opset1">
<data offset="7118612" 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="2197220112424" type="Const" version="opset1">
<data offset="7205105" 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="2198220212679" type="Const" version="opset1">
<data offset="7118612" 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="2199220313975" type="Const" version="opset1">
<data offset="7205105" 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="1118" name="2086209013753" type="Const" version="opset1">
<data offset="7118612" 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="1119" name="2087209113684" type="Const" version="opset1">
<data offset="7205109" 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="1120" name="2088209212868" type="Const" version="opset1">
<data offset="7118612" 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="1121" name="2089209312853" type="Const" version="opset1">
<data offset="7205109" 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="1122" name="Mul_289/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1123" name="357140198326912/quantized807112739" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1124" name="357140198326912/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1125" name="Mul_289/fq_input_1/zero_point809014116" type="Const" version="opset1">
<data offset="7118612" 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="Mul_289/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1127" name="Mul_289/fq_input_1/scale807913237" type="Const" version="opset1">
<data offset="7157045" 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="1128" name="Mul_289/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1129" name="Mul_289" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="437">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1130" name="Pow_291/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1131" name="Pow_291" type="Power" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="439">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1132" name="Mul_293/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1133" name="4408366914/quantized780113240" type="Const" version="opset1">
<data offset="7205113" size="9600" shape="1,3,40,40,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1134" name="4408366914/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1135" name="Mul_293/fq_input_1/zero_point782012625" type="Const" version="opset1">
<data offset="7214713" 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="1136" name="Mul_293/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1137" name="Mul_293/fq_input_1/scale780914050" type="Const" version="opset1">
<data offset="7214717" 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="Mul_293/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1139" name="Mul_293" type="Multiply" version="opset1">
<data 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>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="441">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1140" name="Concat_299" type="Concat" version="opset1">
<data axis="4"/>
<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>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="447">
<dim>1</dim>
<dim>3</dim>
<dim>40</dim>
<dim>40</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1141" name="45683913864" type="Const" version="opset1">
<data offset="7195453" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="456">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1142" name="Reshape_303" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>4800</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1143" name="Sigmoid_323" type="Sigmoid" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="483">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1144" name="47351386684214005" type="Const" version="opset1">
<data offset="4358748" size="8" shape="" element_type="i64"/>
<output>
<port id="0" precision="I64"/>
</output>
</layer>
<layer id="1145" name="47371407384313177" type="Const" version="opset1">
<data offset="7118568" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1146" name="Slice_328/Split" type="VariadicSplit" version="opset1">
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="4" precision="FP32" names="501">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="5" precision="FP32" names="512">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1147" name="2997300113516" type="Const" version="opset1">
<data offset="7214721" 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="2998300212370" type="Const" version="opset1">
<data offset="7214725" 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="2999300313786" type="Const" version="opset1">
<data offset="7214721" 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="3000300414020" type="Const" version="opset1">
<data offset="7214725" 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="1151" name="2716272013900" type="Const" version="opset1">
<data offset="7214729" 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="1152" name="2717272112751" type="Const" version="opset1">
<data offset="7214733" 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="1153" name="2718272214155" type="Const" version="opset1">
<data offset="7214729" 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="1154" name="2719272313066" type="Const" version="opset1">
<data offset="7214733" 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="1155" name="35784712814" type="Const" version="opset1">
<data offset="7118608" 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="1156" name="2686269012592" type="Const" version="opset1">
<data offset="7118612" 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="2687269114161" type="Const" version="opset1">
<data offset="7214737" 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="2688269213132" type="Const" version="opset1">
<data offset="7118612" 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="2689269313897" type="Const" version="opset1">
<data offset="7214737" 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="1160" name="Mul_330/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="Mul_330" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="490">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1162" name="35984913867" type="Const" version="opset1">
<data offset="7118620" 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="1163" name="Sub_332" type="Add" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="492">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1164" name="Add_334/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1165" name="4938516920/quantized858112391" type="Const" version="opset1">
<data offset="7214741" size="2400" shape="1,3,20,20,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1166" name="4938516920/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1167" name="Add_334/fq_input_1/zero_point860012892" type="Const" version="opset1">
<data offset="7118612" 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="1168" name="Add_334/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1169" name="Add_334/fq_input_1/scale858912610" type="Const" version="opset1">
<data offset="7217141" 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="1170" name="Add_334/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1171" name="Add_334" type="Add" version="opset1">
<data 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>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="494">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1172" name="Mul_336/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1173" name="4958536921/quantized825113750" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1174" name="4958536921/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1175" name="Mul_336/fq_input_1/zero_point827012952" type="Const" version="opset1">
<data offset="7118612" 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="Mul_336/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1177" name="Mul_336/fq_input_1/scale825913570" type="Const" version="opset1">
<data offset="7217145" 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="Mul_336/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1179" name="Mul_336" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="496">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1180" name="2406241012856" type="Const" version="opset1">
<data offset="7118612" 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="2407241113084" type="Const" version="opset1">
<data offset="7217149" 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="2408241213606" type="Const" version="opset1">
<data offset="7118612" 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="2409241312922" type="Const" version="opset1">
<data offset="7217149" 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="1184" name="3571383685713954" type="Const" version="opset1">
<data offset="7118608" 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="1185" name="2126213013924" type="Const" version="opset1">
<data offset="7118612" 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="2127213113969" type="Const" version="opset1">
<data offset="7217153" 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="2128213212958" type="Const" version="opset1">
<data offset="7118612" 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="2129213313591" type="Const" version="opset1">
<data offset="7217153" 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="1189" name="2576258014251" type="Const" version="opset1">
<data offset="7118612" 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="1190" name="2577258113498" type="Const" version="opset1">
<data offset="7217157" 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="1191" name="2578258213288" type="Const" version="opset1">
<data offset="7118612" 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="1192" name="2579258313870" type="Const" version="opset1">
<data offset="7217157" 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="1193" name="Mul_343/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1194" name="357140678556922/quantized906112982" type="Const" version="opset1">
<data offset="7157028" size="1" shape="1,1,1,1,1" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1195" name="357140678556922/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1196" name="Mul_343/fq_input_1/zero_point908012499" type="Const" version="opset1">
<data offset="7118612" 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="Mul_343/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1198" name="Mul_343/fq_input_1/scale906913765" type="Const" version="opset1">
<data offset="7157045" 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="1199" name="Mul_343/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1200" name="Mul_343" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="503">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1201" name="Pow_345/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1202" name="Pow_345" type="Power" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32" names="505">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1203" name="Mul_347/fq_input_0" type="FakeQuantize" version="opset1">
<data levels="256" 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="1204" name="5068596924/quantized813113117" type="Const" version="opset1">
<data offset="7217161" size="2400" shape="1,3,20,20,2" element_type="i8"/>
<output>
<port id="0" precision="I8">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1205" name="5068596924/quantized/to_f32" type="Convert" version="opset1">
<data destination_type="f32"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1206" name="Mul_347/fq_input_1/zero_point815013876" type="Const" version="opset1">
<data offset="7118612" 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="1207" name="Mul_347/fq_input_1/minus_zp" type="Subtract" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1208" name="Mul_347/fq_input_1/scale813913564" type="Const" version="opset1">
<data offset="7219561" 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="1209" name="Mul_347/fq_input_1/mulpiply_by_scale" type="Multiply" version="opset1">
<data 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>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1210" name="Mul_347" type="Multiply" version="opset1">
<data 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>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="507">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1211" name="Concat_353" type="Concat" version="opset1">
<data axis="4"/>
<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>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="513">
<dim>1</dim>
<dim>3</dim>
<dim>20</dim>
<dim>20</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1212" name="52286213576" type="Const" version="opset1">
<data offset="7195453" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64" names="522">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="1213" name="Reshape_357" type="Reshape" version="opset1">
<data special_zero="true"/>
<input>
<port id="0">
<dim>1</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>1</dim>
<dim>1200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1214" name="output" type="Concat" version="opset1">
<data axis="1"/>
<input>
<port id="0">
<dim>1</dim>
<dim>19200</dim>
<dim>6</dim>
</port>
<port id="1">
<dim>1</dim>
<dim>4800</dim>
<dim>6</dim>
</port>
<port id="2">
<dim>1</dim>
<dim>1200</dim>
<dim>6</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="output">
<dim>1</dim>
<dim>25200</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="1215" name="output/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>25200</dim>
<dim>6</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="60" from-port="0" to-layer="61" to-port="0"/>
<edge from-layer="56" from-port="0" to-layer="61" to-port="1"/>
<edge from-layer="57" from-port="0" to-layer="61" to-port="2"/>
<edge from-layer="58" from-port="0" to-layer="61" to-port="3"/>
<edge from-layer="59" from-port="0" to-layer="61" to-port="4"/>
<edge from-layer="62" from-port="0" to-layer="63" to-port="0"/>
<edge from-layer="63" from-port="1" to-layer="65" to-port="0"/>
<edge from-layer="64" from-port="0" to-layer="65" to-port="1"/>
<edge from-layer="65" from-port="2" to-layer="67" to-port="0"/>
<edge from-layer="66" from-port="0" to-layer="67" to-port="1"/>
<edge from-layer="61" from-port="5" to-layer="68" to-port="0"/>
<edge from-layer="67" from-port="2" to-layer="68" to-port="1"/>
<edge from-layer="68" from-port="2" to-layer="70" to-port="0"/>
<edge from-layer="69" from-port="0" to-layer="70" to-port="1"/>
<edge from-layer="70" from-port="2" to-layer="71" to-port="0"/>
<edge from-layer="71" from-port="1" to-layer="72" to-port="0"/>
<edge from-layer="52" from-port="0" to-layer="72" to-port="1"/>
<edge from-layer="53" from-port="0" to-layer="72" to-port="2"/>
<edge from-layer="54" from-port="0" to-layer="72" to-port="3"/>
<edge from-layer="55" from-port="0" to-layer="72" to-port="4"/>
<edge from-layer="73" from-port="0" to-layer="74" to-port="0"/>
<edge from-layer="74" from-port="1" to-layer="76" to-port="0"/>
<edge from-layer="75" from-port="0" to-layer="76" to-port="1"/>
<edge from-layer="76" from-port="2" to-layer="78" to-port="0"/>
<edge from-layer="77" from-port="0" to-layer="78" to-port="1"/>
<edge from-layer="72" from-port="5" to-layer="79" to-port="0"/>
<edge from-layer="78" from-port="2" to-layer="79" to-port="1"/>
<edge from-layer="79" from-port="2" to-layer="81" to-port="0"/>
<edge from-layer="80" from-port="0" to-layer="81" to-port="1"/>
<edge from-layer="81" from-port="2" to-layer="82" to-port="0"/>
<edge from-layer="82" from-port="1" to-layer="83" to-port="0"/>
<edge from-layer="48" from-port="0" to-layer="83" to-port="1"/>
<edge from-layer="49" from-port="0" to-layer="83" to-port="2"/>
<edge from-layer="50" from-port="0" to-layer="83" to-port="3"/>
<edge from-layer="51" from-port="0" to-layer="83" to-port="4"/>
<edge from-layer="84" from-port="0" to-layer="85" to-port="0"/>
<edge from-layer="85" from-port="1" to-layer="87" to-port="0"/>
<edge from-layer="86" from-port="0" to-layer="87" to-port="1"/>
<edge from-layer="87" from-port="2" to-layer="89" to-port="0"/>
<edge from-layer="88" from-port="0" to-layer="89" to-port="1"/>
<edge from-layer="83" from-port="5" to-layer="90" to-port="0"/>
<edge from-layer="89" from-port="2" to-layer="90" to-port="1"/>
<edge from-layer="90" from-port="2" to-layer="92" to-port="0"/>
<edge from-layer="91" from-port="0" to-layer="92" to-port="1"/>
<edge from-layer="92" from-port="2" to-layer="93" to-port="0"/>
<edge from-layer="93" from-port="1" to-layer="94" to-port="0"/>
<edge from-layer="44" from-port="0" to-layer="94" to-port="1"/>
<edge from-layer="45" from-port="0" to-layer="94" to-port="2"/>
<edge from-layer="46" from-port="0" to-layer="94" to-port="3"/>
<edge from-layer="47" from-port="0" to-layer="94" to-port="4"/>
<edge from-layer="103" from-port="0" to-layer="104" to-port="0"/>
<edge from-layer="104" from-port="1" 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="108" to-port="0"/>
<edge from-layer="107" from-port="0" to-layer="108" to-port="1"/>
<edge from-layer="94" from-port="5" to-layer="109" to-port="0"/>
<edge from-layer="108" from-port="2" to-layer="109" to-port="1"/>
<edge from-layer="109" from-port="2" to-layer="111" to-port="0"/>
<edge from-layer="110" from-port="0" to-layer="111" to-port="1"/>
<edge from-layer="111" from-port="2" to-layer="112" to-port="0"/>
<edge from-layer="112" from-port="1" to-layer="113" to-port="0"/>
<edge from-layer="99" from-port="0" to-layer="113" to-port="1"/>
<edge from-layer="100" from-port="0" to-layer="113" to-port="2"/>
<edge from-layer="101" from-port="0" to-layer="113" to-port="3"/>
<edge from-layer="102" from-port="0" to-layer="113" to-port="4"/>
<edge from-layer="114" from-port="0" to-layer="115" to-port="0"/>
<edge from-layer="115" from-port="1" 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="119" to-port="0"/>
<edge from-layer="118" from-port="0" to-layer="119" to-port="1"/>
<edge from-layer="113" from-port="5" to-layer="120" to-port="0"/>
<edge from-layer="119" from-port="2" 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="95" from-port="0" to-layer="124" to-port="1"/>
<edge from-layer="96" from-port="0" to-layer="124" to-port="2"/>
<edge from-layer="97" from-port="0" to-layer="124" to-port="3"/>
<edge from-layer="98" from-port="0" to-layer="124" to-port="4"/>
<edge from-layer="94" from-port="5" to-layer="125" to-port="0"/>
<edge from-layer="124" from-port="5" to-layer="125" to-port="1"/>
<edge from-layer="125" from-port="2" to-layer="126" to-port="0"/>
<edge from-layer="40" from-port="0" to-layer="126" to-port="1"/>
<edge from-layer="41" from-port="0" to-layer="126" to-port="2"/>
<edge from-layer="42" from-port="0" to-layer="126" to-port="3"/>
<edge from-layer="43" from-port="0" to-layer="126" to-port="4"/>
<edge from-layer="131" from-port="0" to-layer="132" to-port="0"/>
<edge from-layer="132" from-port="1" to-layer="134" to-port="0"/>
<edge from-layer="133" from-port="0" to-layer="134" to-port="1"/>
<edge from-layer="134" from-port="2" to-layer="136" to-port="0"/>
<edge from-layer="135" from-port="0" to-layer="136" to-port="1"/>
<edge from-layer="83" from-port="5" to-layer="137" to-port="0"/>
<edge from-layer="136" from-port="2" to-layer="137" to-port="1"/>
<edge from-layer="137" from-port="2" to-layer="139" to-port="0"/>
<edge from-layer="138" from-port="0" to-layer="139" to-port="1"/>
<edge from-layer="139" from-port="2" to-layer="140" to-port="0"/>
<edge from-layer="140" from-port="1" to-layer="141" to-port="0"/>
<edge from-layer="127" from-port="0" to-layer="141" to-port="1"/>
<edge from-layer="128" from-port="0" to-layer="141" to-port="2"/>
<edge from-layer="129" from-port="0" to-layer="141" to-port="3"/>
<edge from-layer="130" from-port="0" to-layer="141" to-port="4"/>
<edge from-layer="126" from-port="5" to-layer="142" to-port="0"/>
<edge from-layer="141" from-port="5" to-layer="142" to-port="1"/>
<edge from-layer="143" from-port="0" to-layer="144" to-port="0"/>
<edge from-layer="144" from-port="1" to-layer="146" to-port="0"/>
<edge from-layer="145" from-port="0" to-layer="146" to-port="1"/>
<edge from-layer="146" from-port="2" to-layer="148" to-port="0"/>
<edge from-layer="147" from-port="0" to-layer="148" to-port="1"/>
<edge from-layer="142" from-port="2" to-layer="149" to-port="0"/>
<edge from-layer="148" from-port="2" to-layer="149" to-port="1"/>
<edge from-layer="149" from-port="2" to-layer="151" to-port="0"/>
<edge from-layer="150" from-port="0" to-layer="151" to-port="1"/>
<edge from-layer="151" from-port="2" to-layer="152" to-port="0"/>
<edge from-layer="152" from-port="1" to-layer="153" to-port="0"/>
<edge from-layer="36" from-port="0" to-layer="153" to-port="1"/>
<edge from-layer="37" from-port="0" to-layer="153" to-port="2"/>
<edge from-layer="38" from-port="0" to-layer="153" to-port="3"/>
<edge from-layer="39" from-port="0" to-layer="153" to-port="4"/>
<edge from-layer="154" from-port="0" to-layer="155" to-port="0"/>
<edge from-layer="155" from-port="1" to-layer="157" to-port="0"/>
<edge from-layer="156" from-port="0" to-layer="157" to-port="1"/>
<edge from-layer="157" from-port="2" to-layer="159" to-port="0"/>
<edge from-layer="158" from-port="0" to-layer="159" to-port="1"/>
<edge from-layer="153" from-port="5" to-layer="160" to-port="0"/>
<edge from-layer="159" from-port="2" to-layer="160" to-port="1"/>
<edge from-layer="160" from-port="2" to-layer="162" to-port="0"/>
<edge from-layer="161" from-port="0" to-layer="162" to-port="1"/>
<edge from-layer="162" from-port="2" to-layer="163" to-port="0"/>
<edge from-layer="163" from-port="1" to-layer="164" to-port="0"/>
<edge from-layer="32" from-port="0" to-layer="164" to-port="1"/>
<edge from-layer="33" from-port="0" to-layer="164" to-port="2"/>
<edge from-layer="34" from-port="0" to-layer="164" to-port="3"/>
<edge from-layer="35" from-port="0" to-layer="164" to-port="4"/>
<edge from-layer="165" from-port="0" to-layer="166" to-port="0"/>
<edge from-layer="166" from-port="1" to-layer="168" to-port="0"/>
<edge from-layer="167" from-port="0" to-layer="168" to-port="1"/>
<edge from-layer="168" from-port="2" to-layer="170" to-port="0"/>
<edge from-layer="169" from-port="0" to-layer="170" to-port="1"/>
<edge from-layer="164" from-port="5" to-layer="171" to-port="0"/>
<edge from-layer="170" from-port="2" to-layer="171" to-port="1"/>
<edge from-layer="171" from-port="2" to-layer="173" to-port="0"/>
<edge from-layer="172" from-port="0" to-layer="173" to-port="1"/>
<edge from-layer="173" from-port="2" to-layer="174" to-port="0"/>
<edge from-layer="174" from-port="1" to-layer="175" to-port="0"/>
<edge from-layer="28" from-port="0" to-layer="175" to-port="1"/>
<edge from-layer="29" from-port="0" to-layer="175" to-port="2"/>
<edge from-layer="30" from-port="0" to-layer="175" to-port="3"/>
<edge from-layer="31" from-port="0" to-layer="175" to-port="4"/>
<edge from-layer="184" from-port="0" to-layer="185" to-port="0"/>
<edge from-layer="185" from-port="1" to-layer="187" to-port="0"/>
<edge from-layer="186" from-port="0" to-layer="187" to-port="1"/>
<edge from-layer="187" from-port="2" to-layer="189" to-port="0"/>
<edge from-layer="188" from-port="0" to-layer="189" to-port="1"/>
<edge from-layer="175" from-port="5" to-layer="190" to-port="0"/>
<edge from-layer="189" from-port="2" to-layer="190" to-port="1"/>
<edge from-layer="190" from-port="2" to-layer="192" to-port="0"/>
<edge from-layer="191" from-port="0" to-layer="192" to-port="1"/>
<edge from-layer="192" from-port="2" to-layer="193" to-port="0"/>
<edge from-layer="193" from-port="1" to-layer="194" to-port="0"/>
<edge from-layer="180" from-port="0" to-layer="194" to-port="1"/>
<edge from-layer="181" from-port="0" to-layer="194" to-port="2"/>
<edge from-layer="182" from-port="0" to-layer="194" to-port="3"/>
<edge from-layer="183" from-port="0" to-layer="194" to-port="4"/>
<edge from-layer="195" from-port="0" to-layer="196" to-port="0"/>
<edge from-layer="196" from-port="1" to-layer="198" to-port="0"/>
<edge from-layer="197" from-port="0" to-layer="198" to-port="1"/>
<edge from-layer="198" from-port="2" to-layer="200" to-port="0"/>
<edge from-layer="199" from-port="0" to-layer="200" to-port="1"/>
<edge from-layer="194" from-port="5" to-layer="201" to-port="0"/>
<edge from-layer="200" from-port="2" to-layer="201" to-port="1"/>
<edge from-layer="201" from-port="2" to-layer="203" to-port="0"/>
<edge from-layer="202" from-port="0" to-layer="203" to-port="1"/>
<edge from-layer="203" from-port="2" to-layer="204" to-port="0"/>
<edge from-layer="204" from-port="1" to-layer="205" to-port="0"/>
<edge from-layer="176" from-port="0" to-layer="205" to-port="1"/>
<edge from-layer="177" from-port="0" to-layer="205" to-port="2"/>
<edge from-layer="178" from-port="0" to-layer="205" to-port="3"/>
<edge from-layer="179" from-port="0" to-layer="205" to-port="4"/>
<edge from-layer="175" from-port="5" to-layer="206" to-port="0"/>
<edge from-layer="205" from-port="5" to-layer="206" to-port="1"/>
<edge from-layer="206" from-port="2" to-layer="207" to-port="0"/>
<edge from-layer="24" from-port="0" to-layer="207" to-port="1"/>
<edge from-layer="25" from-port="0" to-layer="207" to-port="2"/>
<edge from-layer="26" from-port="0" to-layer="207" to-port="3"/>
<edge from-layer="27" from-port="0" to-layer="207" to-port="4"/>
<edge from-layer="216" from-port="0" to-layer="217" to-port="0"/>
<edge from-layer="217" from-port="1" to-layer="219" to-port="0"/>
<edge from-layer="218" from-port="0" to-layer="219" to-port="1"/>
<edge from-layer="219" from-port="2" to-layer="221" to-port="0"/>
<edge from-layer="220" from-port="0" to-layer="221" to-port="1"/>
<edge from-layer="207" from-port="5" to-layer="222" to-port="0"/>
<edge from-layer="221" from-port="2" to-layer="222" to-port="1"/>
<edge from-layer="222" from-port="2" to-layer="224" to-port="0"/>
<edge from-layer="223" from-port="0" to-layer="224" to-port="1"/>
<edge from-layer="224" from-port="2" to-layer="225" to-port="0"/>
<edge from-layer="225" from-port="1" to-layer="226" to-port="0"/>
<edge from-layer="212" from-port="0" to-layer="226" to-port="1"/>
<edge from-layer="213" from-port="0" to-layer="226" to-port="2"/>
<edge from-layer="214" from-port="0" to-layer="226" to-port="3"/>
<edge from-layer="215" from-port="0" to-layer="226" to-port="4"/>
<edge from-layer="227" from-port="0" to-layer="228" to-port="0"/>
<edge from-layer="228" from-port="1" to-layer="230" to-port="0"/>
<edge from-layer="229" from-port="0" to-layer="230" to-port="1"/>
<edge from-layer="230" from-port="2" to-layer="232" to-port="0"/>
<edge from-layer="231" from-port="0" to-layer="232" to-port="1"/>
<edge from-layer="226" from-port="5" to-layer="233" to-port="0"/>
<edge from-layer="232" from-port="2" to-layer="233" to-port="1"/>
<edge from-layer="233" from-port="2" to-layer="235" to-port="0"/>
<edge from-layer="234" from-port="0" to-layer="235" to-port="1"/>
<edge from-layer="235" from-port="2" to-layer="236" to-port="0"/>
<edge from-layer="236" from-port="1" to-layer="237" to-port="0"/>
<edge from-layer="208" from-port="0" to-layer="237" to-port="1"/>
<edge from-layer="209" from-port="0" to-layer="237" to-port="2"/>
<edge from-layer="210" from-port="0" to-layer="237" to-port="3"/>
<edge from-layer="211" from-port="0" to-layer="237" to-port="4"/>
<edge from-layer="207" from-port="5" to-layer="238" to-port="0"/>
<edge from-layer="237" from-port="5" to-layer="238" to-port="1"/>
<edge from-layer="238" from-port="2" to-layer="239" to-port="0"/>
<edge from-layer="20" from-port="0" to-layer="239" to-port="1"/>
<edge from-layer="21" from-port="0" to-layer="239" to-port="2"/>
<edge from-layer="22" from-port="0" to-layer="239" to-port="3"/>
<edge from-layer="23" from-port="0" to-layer="239" to-port="4"/>
<edge from-layer="244" from-port="0" to-layer="245" to-port="0"/>
<edge from-layer="245" from-port="1" to-layer="247" to-port="0"/>
<edge from-layer="246" from-port="0" to-layer="247" to-port="1"/>
<edge from-layer="247" from-port="2" to-layer="249" to-port="0"/>
<edge from-layer="248" from-port="0" to-layer="249" to-port="1"/>
<edge from-layer="164" from-port="5" to-layer="250" to-port="0"/>
<edge from-layer="249" from-port="2" to-layer="250" to-port="1"/>
<edge from-layer="250" from-port="2" to-layer="252" to-port="0"/>
<edge from-layer="251" from-port="0" to-layer="252" to-port="1"/>
<edge from-layer="252" from-port="2" to-layer="253" to-port="0"/>
<edge from-layer="253" from-port="1" to-layer="254" to-port="0"/>
<edge from-layer="240" from-port="0" to-layer="254" to-port="1"/>
<edge from-layer="241" from-port="0" to-layer="254" to-port="2"/>
<edge from-layer="242" from-port="0" to-layer="254" to-port="3"/>
<edge from-layer="243" from-port="0" to-layer="254" to-port="4"/>
<edge from-layer="239" from-port="5" to-layer="255" to-port="0"/>
<edge from-layer="254" from-port="5" to-layer="255" to-port="1"/>
<edge from-layer="256" from-port="0" to-layer="257" to-port="0"/>
<edge from-layer="257" from-port="1" 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="261" to-port="0"/>
<edge from-layer="260" from-port="0" to-layer="261" to-port="1"/>
<edge from-layer="255" from-port="2" to-layer="262" to-port="0"/>
<edge from-layer="261" from-port="2" to-layer="262" to-port="1"/>
<edge from-layer="262" from-port="2" to-layer="264" to-port="0"/>
<edge from-layer="263" from-port="0" to-layer="264" to-port="1"/>
<edge from-layer="264" from-port="2" to-layer="265" to-port="0"/>
<edge from-layer="265" from-port="1" to-layer="266" to-port="0"/>
<edge from-layer="16" from-port="0" to-layer="266" to-port="1"/>
<edge from-layer="17" from-port="0" to-layer="266" to-port="2"/>
<edge from-layer="18" from-port="0" to-layer="266" to-port="3"/>
<edge from-layer="19" from-port="0" to-layer="266" to-port="4"/>
<edge from-layer="317" from-port="0" to-layer="318" to-port="0"/>
<edge from-layer="318" from-port="1" to-layer="320" to-port="0"/>
<edge from-layer="319" from-port="0" to-layer="320" to-port="1"/>
<edge from-layer="320" from-port="2" to-layer="322" to-port="0"/>
<edge from-layer="321" from-port="0" to-layer="322" to-port="1"/>
<edge from-layer="266" from-port="5" to-layer="323" to-port="0"/>
<edge from-layer="322" from-port="2" to-layer="323" to-port="1"/>
<edge from-layer="323" from-port="2" to-layer="325" to-port="0"/>
<edge from-layer="324" from-port="0" to-layer="325" to-port="1"/>
<edge from-layer="325" from-port="2" to-layer="326" to-port="0"/>
<edge from-layer="326" from-port="1" to-layer="327" to-port="0"/>
<edge from-layer="313" from-port="0" to-layer="327" to-port="1"/>
<edge from-layer="314" from-port="0" to-layer="327" to-port="2"/>
<edge from-layer="315" from-port="0" to-layer="327" to-port="3"/>
<edge from-layer="316" from-port="0" to-layer="327" to-port="4"/>
<edge from-layer="328" from-port="0" to-layer="329" to-port="0"/>
<edge from-layer="329" from-port="1" to-layer="331" to-port="0"/>
<edge from-layer="330" from-port="0" to-layer="331" to-port="1"/>
<edge from-layer="331" from-port="2" to-layer="333" to-port="0"/>
<edge from-layer="332" from-port="0" to-layer="333" to-port="1"/>
<edge from-layer="327" from-port="5" to-layer="334" to-port="0"/>
<edge from-layer="333" from-port="2" to-layer="334" to-port="1"/>
<edge from-layer="334" from-port="2" to-layer="336" to-port="0"/>
<edge from-layer="335" from-port="0" to-layer="336" to-port="1"/>
<edge from-layer="336" from-port="2" to-layer="337" to-port="0"/>
<edge from-layer="337" from-port="1" to-layer="338" to-port="0"/>
<edge from-layer="309" from-port="0" to-layer="338" to-port="1"/>
<edge from-layer="310" from-port="0" to-layer="338" to-port="2"/>
<edge from-layer="311" from-port="0" to-layer="338" to-port="3"/>
<edge from-layer="312" from-port="0" to-layer="338" to-port="4"/>
<edge from-layer="347" from-port="0" to-layer="348" to-port="0"/>
<edge from-layer="348" from-port="1" to-layer="350" to-port="0"/>
<edge from-layer="349" from-port="0" to-layer="350" to-port="1"/>
<edge from-layer="350" from-port="2" to-layer="352" to-port="0"/>
<edge from-layer="351" from-port="0" to-layer="352" to-port="1"/>
<edge from-layer="338" from-port="5" to-layer="353" to-port="0"/>
<edge from-layer="352" from-port="2" to-layer="353" to-port="1"/>
<edge from-layer="353" from-port="2" to-layer="355" to-port="0"/>
<edge from-layer="354" from-port="0" to-layer="355" to-port="1"/>
<edge from-layer="355" from-port="2" to-layer="356" to-port="0"/>
<edge from-layer="356" from-port="1" to-layer="357" to-port="0"/>
<edge from-layer="343" from-port="0" to-layer="357" to-port="1"/>
<edge from-layer="344" from-port="0" to-layer="357" to-port="2"/>
<edge from-layer="345" from-port="0" to-layer="357" to-port="3"/>
<edge from-layer="346" from-port="0" to-layer="357" to-port="4"/>
<edge from-layer="358" from-port="0" to-layer="359" to-port="0"/>
<edge from-layer="359" from-port="1" 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="363" to-port="0"/>
<edge from-layer="362" from-port="0" to-layer="363" to-port="1"/>
<edge from-layer="357" from-port="5" to-layer="364" to-port="0"/>
<edge from-layer="363" from-port="2" to-layer="364" to-port="1"/>
<edge from-layer="364" from-port="2" to-layer="366" to-port="0"/>
<edge from-layer="365" from-port="0" to-layer="366" to-port="1"/>
<edge from-layer="366" from-port="2" to-layer="367" to-port="0"/>
<edge from-layer="367" from-port="1" to-layer="368" to-port="0"/>
<edge from-layer="339" from-port="0" to-layer="368" to-port="1"/>
<edge from-layer="340" from-port="0" to-layer="368" to-port="2"/>
<edge from-layer="341" from-port="0" to-layer="368" to-port="3"/>
<edge from-layer="342" from-port="0" to-layer="368" to-port="4"/>
<edge from-layer="338" from-port="5" to-layer="369" to-port="0"/>
<edge from-layer="368" from-port="5" to-layer="369" to-port="1"/>
<edge from-layer="369" from-port="2" to-layer="370" to-port="0"/>
<edge from-layer="305" from-port="0" to-layer="370" to-port="1"/>
<edge from-layer="306" from-port="0" to-layer="370" to-port="2"/>
<edge from-layer="307" from-port="0" to-layer="370" to-port="3"/>
<edge from-layer="308" from-port="0" to-layer="370" to-port="4"/>
<edge from-layer="379" from-port="0" to-layer="380" to-port="0"/>
<edge from-layer="380" from-port="1" to-layer="382" to-port="0"/>
<edge from-layer="381" from-port="0" to-layer="382" to-port="1"/>
<edge from-layer="382" from-port="2" to-layer="384" to-port="0"/>
<edge from-layer="383" from-port="0" to-layer="384" to-port="1"/>
<edge from-layer="370" from-port="5" to-layer="385" to-port="0"/>
<edge from-layer="384" from-port="2" to-layer="385" to-port="1"/>
<edge from-layer="385" from-port="2" to-layer="387" to-port="0"/>
<edge from-layer="386" from-port="0" to-layer="387" to-port="1"/>
<edge from-layer="387" from-port="2" to-layer="388" to-port="0"/>
<edge from-layer="388" from-port="1" to-layer="389" to-port="0"/>
<edge from-layer="375" from-port="0" to-layer="389" to-port="1"/>
<edge from-layer="376" from-port="0" to-layer="389" to-port="2"/>
<edge from-layer="377" from-port="0" to-layer="389" to-port="3"/>
<edge from-layer="378" from-port="0" to-layer="389" to-port="4"/>
<edge from-layer="390" from-port="0" to-layer="391" to-port="0"/>
<edge from-layer="391" from-port="1" to-layer="393" to-port="0"/>
<edge from-layer="392" from-port="0" to-layer="393" to-port="1"/>
<edge from-layer="393" from-port="2" to-layer="395" to-port="0"/>
<edge from-layer="394" from-port="0" to-layer="395" to-port="1"/>
<edge from-layer="389" from-port="5" to-layer="396" to-port="0"/>
<edge from-layer="395" from-port="2" to-layer="396" to-port="1"/>
<edge from-layer="396" from-port="2" to-layer="398" to-port="0"/>
<edge from-layer="397" from-port="0" to-layer="398" to-port="1"/>
<edge from-layer="398" from-port="2" to-layer="399" to-port="0"/>
<edge from-layer="399" from-port="1" to-layer="400" to-port="0"/>
<edge from-layer="371" from-port="0" to-layer="400" to-port="1"/>
<edge from-layer="372" from-port="0" to-layer="400" to-port="2"/>
<edge from-layer="373" from-port="0" to-layer="400" to-port="3"/>
<edge from-layer="374" from-port="0" to-layer="400" to-port="4"/>
<edge from-layer="370" from-port="5" to-layer="401" to-port="0"/>
<edge from-layer="400" from-port="5" to-layer="401" to-port="1"/>
<edge from-layer="401" from-port="2" to-layer="402" to-port="0"/>
<edge from-layer="301" from-port="0" to-layer="402" to-port="1"/>
<edge from-layer="302" from-port="0" to-layer="402" to-port="2"/>
<edge from-layer="303" from-port="0" to-layer="402" to-port="3"/>
<edge from-layer="304" from-port="0" to-layer="402" to-port="4"/>
<edge from-layer="411" from-port="0" to-layer="412" to-port="0"/>
<edge from-layer="412" from-port="1" to-layer="414" to-port="0"/>
<edge from-layer="413" from-port="0" to-layer="414" to-port="1"/>
<edge from-layer="414" from-port="2" to-layer="416" to-port="0"/>
<edge from-layer="415" from-port="0" to-layer="416" to-port="1"/>
<edge from-layer="402" from-port="5" to-layer="417" to-port="0"/>
<edge from-layer="416" from-port="2" to-layer="417" to-port="1"/>
<edge from-layer="417" from-port="2" to-layer="419" to-port="0"/>
<edge from-layer="418" from-port="0" to-layer="419" to-port="1"/>
<edge from-layer="419" from-port="2" to-layer="420" to-port="0"/>
<edge from-layer="420" from-port="1" to-layer="421" to-port="0"/>
<edge from-layer="407" from-port="0" to-layer="421" to-port="1"/>
<edge from-layer="408" from-port="0" to-layer="421" to-port="2"/>
<edge from-layer="409" from-port="0" to-layer="421" to-port="3"/>
<edge from-layer="410" from-port="0" to-layer="421" to-port="4"/>
<edge from-layer="422" from-port="0" to-layer="423" to-port="0"/>
<edge from-layer="423" from-port="1" to-layer="425" to-port="0"/>
<edge from-layer="424" from-port="0" to-layer="425" to-port="1"/>
<edge from-layer="425" from-port="2" to-layer="427" to-port="0"/>
<edge from-layer="426" from-port="0" to-layer="427" to-port="1"/>
<edge from-layer="421" from-port="5" to-layer="428" to-port="0"/>
<edge from-layer="427" from-port="2" to-layer="428" to-port="1"/>
<edge from-layer="428" from-port="2" to-layer="430" to-port="0"/>
<edge from-layer="429" from-port="0" to-layer="430" to-port="1"/>
<edge from-layer="430" from-port="2" to-layer="431" to-port="0"/>
<edge from-layer="431" from-port="1" to-layer="432" to-port="0"/>
<edge from-layer="403" from-port="0" to-layer="432" to-port="1"/>
<edge from-layer="404" from-port="0" to-layer="432" to-port="2"/>
<edge from-layer="405" from-port="0" to-layer="432" to-port="3"/>
<edge from-layer="406" from-port="0" to-layer="432" to-port="4"/>
<edge from-layer="402" from-port="5" to-layer="433" to-port="0"/>
<edge from-layer="432" from-port="5" to-layer="433" to-port="1"/>
<edge from-layer="433" from-port="2" to-layer="434" to-port="0"/>
<edge from-layer="297" from-port="0" to-layer="434" to-port="1"/>
<edge from-layer="298" from-port="0" to-layer="434" to-port="2"/>
<edge from-layer="299" from-port="0" to-layer="434" to-port="3"/>
<edge from-layer="300" from-port="0" to-layer="434" to-port="4"/>
<edge from-layer="439" from-port="0" to-layer="440" to-port="0"/>
<edge from-layer="440" from-port="1" to-layer="442" to-port="0"/>
<edge from-layer="441" from-port="0" to-layer="442" to-port="1"/>
<edge from-layer="442" from-port="2" to-layer="444" to-port="0"/>
<edge from-layer="443" from-port="0" to-layer="444" to-port="1"/>
<edge from-layer="327" from-port="5" to-layer="445" to-port="0"/>
<edge from-layer="444" from-port="2" to-layer="445" to-port="1"/>
<edge from-layer="445" from-port="2" to-layer="447" to-port="0"/>
<edge from-layer="446" from-port="0" to-layer="447" to-port="1"/>
<edge from-layer="447" from-port="2" to-layer="448" to-port="0"/>
<edge from-layer="448" from-port="1" to-layer="449" to-port="0"/>
<edge from-layer="435" from-port="0" to-layer="449" to-port="1"/>
<edge from-layer="436" from-port="0" to-layer="449" to-port="2"/>
<edge from-layer="437" from-port="0" to-layer="449" to-port="3"/>
<edge from-layer="438" from-port="0" to-layer="449" to-port="4"/>
<edge from-layer="434" from-port="5" to-layer="450" to-port="0"/>
<edge from-layer="449" from-port="5" to-layer="450" to-port="1"/>
<edge from-layer="451" from-port="0" to-layer="452" to-port="0"/>
<edge from-layer="452" from-port="1" to-layer="454" to-port="0"/>
<edge from-layer="453" from-port="0" to-layer="454" to-port="1"/>
<edge from-layer="454" from-port="2" to-layer="456" to-port="0"/>
<edge from-layer="455" from-port="0" to-layer="456" to-port="1"/>
<edge from-layer="450" from-port="2" to-layer="457" to-port="0"/>
<edge from-layer="456" from-port="2" to-layer="457" to-port="1"/>
<edge from-layer="457" from-port="2" to-layer="459" to-port="0"/>
<edge from-layer="458" from-port="0" to-layer="459" to-port="1"/>
<edge from-layer="459" from-port="2" to-layer="460" to-port="0"/>
<edge from-layer="460" from-port="1" to-layer="461" to-port="0"/>
<edge from-layer="293" from-port="0" to-layer="461" to-port="1"/>
<edge from-layer="294" from-port="0" to-layer="461" to-port="2"/>
<edge from-layer="295" from-port="0" to-layer="461" to-port="3"/>
<edge from-layer="296" from-port="0" to-layer="461" to-port="4"/>
<edge from-layer="496" from-port="0" to-layer="497" to-port="0"/>
<edge from-layer="497" from-port="1" to-layer="499" to-port="0"/>
<edge from-layer="498" from-port="0" to-layer="499" to-port="1"/>
<edge from-layer="499" from-port="2" to-layer="501" to-port="0"/>
<edge from-layer="500" from-port="0" to-layer="501" to-port="1"/>
<edge from-layer="461" from-port="5" to-layer="502" to-port="0"/>
<edge from-layer="501" from-port="2" to-layer="502" to-port="1"/>
<edge from-layer="502" from-port="2" to-layer="504" to-port="0"/>
<edge from-layer="503" from-port="0" to-layer="504" to-port="1"/>
<edge from-layer="504" from-port="2" to-layer="505" to-port="0"/>
<edge from-layer="505" from-port="1" to-layer="506" to-port="0"/>
<edge from-layer="492" from-port="0" to-layer="506" to-port="1"/>
<edge from-layer="493" from-port="0" to-layer="506" to-port="2"/>
<edge from-layer="494" from-port="0" to-layer="506" to-port="3"/>
<edge from-layer="495" from-port="0" to-layer="506" to-port="4"/>
<edge from-layer="507" from-port="0" to-layer="508" to-port="0"/>
<edge from-layer="508" from-port="1" to-layer="510" to-port="0"/>
<edge from-layer="509" from-port="0" to-layer="510" to-port="1"/>
<edge from-layer="510" from-port="2" to-layer="512" to-port="0"/>
<edge from-layer="511" from-port="0" to-layer="512" to-port="1"/>
<edge from-layer="506" from-port="5" to-layer="513" to-port="0"/>
<edge from-layer="512" from-port="2" to-layer="513" to-port="1"/>
<edge from-layer="513" from-port="2" to-layer="515" to-port="0"/>
<edge from-layer="514" from-port="0" to-layer="515" to-port="1"/>
<edge from-layer="515" from-port="2" to-layer="516" to-port="0"/>
<edge from-layer="516" from-port="1" to-layer="517" to-port="0"/>
<edge from-layer="488" from-port="0" to-layer="517" to-port="1"/>
<edge from-layer="489" from-port="0" to-layer="517" to-port="2"/>
<edge from-layer="490" from-port="0" to-layer="517" to-port="3"/>
<edge from-layer="491" from-port="0" to-layer="517" to-port="4"/>
<edge from-layer="526" from-port="0" to-layer="527" to-port="0"/>
<edge from-layer="527" from-port="1" to-layer="529" to-port="0"/>
<edge from-layer="528" from-port="0" to-layer="529" to-port="1"/>
<edge from-layer="529" from-port="2" to-layer="531" to-port="0"/>
<edge from-layer="530" from-port="0" to-layer="531" to-port="1"/>
<edge from-layer="517" from-port="5" to-layer="532" to-port="0"/>
<edge from-layer="531" from-port="2" to-layer="532" to-port="1"/>
<edge from-layer="532" from-port="2" to-layer="534" to-port="0"/>
<edge from-layer="533" from-port="0" to-layer="534" to-port="1"/>
<edge from-layer="534" from-port="2" to-layer="535" to-port="0"/>
<edge from-layer="535" from-port="1" to-layer="536" to-port="0"/>
<edge from-layer="522" from-port="0" to-layer="536" to-port="1"/>
<edge from-layer="523" from-port="0" to-layer="536" to-port="2"/>
<edge from-layer="524" from-port="0" to-layer="536" to-port="3"/>
<edge from-layer="525" from-port="0" to-layer="536" to-port="4"/>
<edge from-layer="537" from-port="0" to-layer="538" to-port="0"/>
<edge from-layer="538" from-port="1" to-layer="540" to-port="0"/>
<edge from-layer="539" from-port="0" to-layer="540" to-port="1"/>
<edge from-layer="540" from-port="2" to-layer="542" to-port="0"/>
<edge from-layer="541" from-port="0" to-layer="542" to-port="1"/>
<edge from-layer="536" from-port="5" to-layer="543" to-port="0"/>
<edge from-layer="542" from-port="2" to-layer="543" to-port="1"/>
<edge from-layer="543" from-port="2" to-layer="545" to-port="0"/>
<edge from-layer="544" from-port="0" to-layer="545" to-port="1"/>
<edge from-layer="545" from-port="2" to-layer="546" to-port="0"/>
<edge from-layer="546" from-port="1" to-layer="547" to-port="0"/>
<edge from-layer="518" from-port="0" to-layer="547" to-port="1"/>
<edge from-layer="519" from-port="0" to-layer="547" to-port="2"/>
<edge from-layer="520" from-port="0" to-layer="547" to-port="3"/>
<edge from-layer="521" from-port="0" to-layer="547" to-port="4"/>
<edge from-layer="517" from-port="5" to-layer="548" to-port="0"/>
<edge from-layer="547" from-port="5" to-layer="548" to-port="1"/>
<edge from-layer="548" from-port="2" to-layer="549" to-port="0"/>
<edge from-layer="484" from-port="0" to-layer="549" to-port="1"/>
<edge from-layer="485" from-port="0" to-layer="549" to-port="2"/>
<edge from-layer="486" from-port="0" to-layer="549" to-port="3"/>
<edge from-layer="487" from-port="0" to-layer="549" to-port="4"/>
<edge from-layer="554" from-port="0" to-layer="555" to-port="0"/>
<edge from-layer="555" from-port="1" 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="559" to-port="0"/>
<edge from-layer="558" from-port="0" to-layer="559" to-port="1"/>
<edge from-layer="506" from-port="5" to-layer="560" to-port="0"/>
<edge from-layer="559" from-port="2" to-layer="560" to-port="1"/>
<edge from-layer="560" from-port="2" to-layer="562" to-port="0"/>
<edge from-layer="561" from-port="0" to-layer="562" to-port="1"/>
<edge from-layer="562" from-port="2" to-layer="563" to-port="0"/>
<edge from-layer="563" from-port="1" to-layer="564" to-port="0"/>
<edge from-layer="550" from-port="0" to-layer="564" to-port="1"/>
<edge from-layer="551" from-port="0" to-layer="564" to-port="2"/>
<edge from-layer="552" from-port="0" to-layer="564" to-port="3"/>
<edge from-layer="553" from-port="0" to-layer="564" to-port="4"/>
<edge from-layer="549" from-port="5" to-layer="565" to-port="0"/>
<edge from-layer="564" from-port="5" to-layer="565" to-port="1"/>
<edge from-layer="566" from-port="0" to-layer="567" to-port="0"/>
<edge from-layer="567" from-port="1" to-layer="569" to-port="0"/>
<edge from-layer="568" from-port="0" to-layer="569" to-port="1"/>
<edge from-layer="569" from-port="2" to-layer="571" to-port="0"/>
<edge from-layer="570" from-port="0" to-layer="571" to-port="1"/>
<edge from-layer="565" from-port="2" to-layer="572" to-port="0"/>
<edge from-layer="571" from-port="2" to-layer="572" to-port="1"/>
<edge from-layer="572" from-port="2" to-layer="574" to-port="0"/>
<edge from-layer="573" from-port="0" to-layer="574" to-port="1"/>
<edge from-layer="574" from-port="2" to-layer="575" to-port="0"/>
<edge from-layer="575" from-port="1" to-layer="576" to-port="0"/>
<edge from-layer="480" from-port="0" to-layer="576" to-port="1"/>
<edge from-layer="481" from-port="0" to-layer="576" to-port="2"/>
<edge from-layer="482" from-port="0" to-layer="576" to-port="3"/>
<edge from-layer="483" from-port="0" to-layer="576" to-port="4"/>
<edge from-layer="577" from-port="0" to-layer="578" to-port="0"/>
<edge from-layer="578" from-port="1" to-layer="580" to-port="0"/>
<edge from-layer="579" from-port="0" to-layer="580" to-port="1"/>
<edge from-layer="580" from-port="2" to-layer="582" to-port="0"/>
<edge from-layer="581" from-port="0" to-layer="582" to-port="1"/>
<edge from-layer="576" from-port="5" to-layer="583" to-port="0"/>
<edge from-layer="582" from-port="2" to-layer="583" to-port="1"/>
<edge from-layer="583" from-port="2" to-layer="585" to-port="0"/>
<edge from-layer="584" from-port="0" to-layer="585" to-port="1"/>
<edge from-layer="585" from-port="2" to-layer="586" to-port="0"/>
<edge from-layer="586" from-port="1" to-layer="587" to-port="0"/>
<edge from-layer="476" from-port="0" to-layer="587" to-port="1"/>
<edge from-layer="477" from-port="0" to-layer="587" to-port="2"/>
<edge from-layer="478" from-port="0" to-layer="587" to-port="3"/>
<edge from-layer="479" from-port="0" to-layer="587" to-port="4"/>
<edge from-layer="587" from-port="5" to-layer="588" to-port="0"/>
<edge from-layer="588" from-port="1" to-layer="589" to-port="0"/>
<edge from-layer="589" from-port="1" to-layer="590" to-port="0"/>
<edge from-layer="587" from-port="5" to-layer="591" to-port="0"/>
<edge from-layer="588" from-port="1" to-layer="591" to-port="1"/>
<edge from-layer="589" from-port="1" to-layer="591" to-port="2"/>
<edge from-layer="590" from-port="1" to-layer="591" to-port="3"/>
<edge from-layer="592" from-port="0" to-layer="593" to-port="0"/>
<edge from-layer="593" from-port="1" to-layer="595" to-port="0"/>
<edge from-layer="594" from-port="0" to-layer="595" to-port="1"/>
<edge from-layer="595" from-port="2" to-layer="597" to-port="0"/>
<edge from-layer="596" from-port="0" to-layer="597" to-port="1"/>
<edge from-layer="591" from-port="4" to-layer="598" to-port="0"/>
<edge from-layer="597" from-port="2" to-layer="598" to-port="1"/>
<edge from-layer="598" from-port="2" to-layer="600" to-port="0"/>
<edge from-layer="599" from-port="0" to-layer="600" to-port="1"/>
<edge from-layer="600" from-port="2" to-layer="601" to-port="0"/>
<edge from-layer="601" from-port="1" to-layer="602" to-port="0"/>
<edge from-layer="472" from-port="0" to-layer="602" to-port="1"/>
<edge from-layer="473" from-port="0" to-layer="602" to-port="2"/>
<edge from-layer="474" from-port="0" to-layer="602" to-port="3"/>
<edge from-layer="475" from-port="0" to-layer="602" to-port="4"/>
<edge from-layer="603" from-port="0" to-layer="604" to-port="0"/>
<edge from-layer="604" from-port="1" to-layer="606" to-port="0"/>
<edge from-layer="605" from-port="0" to-layer="606" to-port="1"/>
<edge from-layer="606" from-port="2" to-layer="608" to-port="0"/>
<edge from-layer="607" from-port="0" to-layer="608" to-port="1"/>
<edge from-layer="602" from-port="5" to-layer="609" to-port="0"/>
<edge from-layer="608" from-port="2" to-layer="609" to-port="1"/>
<edge from-layer="609" from-port="2" to-layer="611" to-port="0"/>
<edge from-layer="610" from-port="0" to-layer="611" to-port="1"/>
<edge from-layer="611" from-port="2" to-layer="612" to-port="0"/>
<edge from-layer="612" from-port="1" to-layer="613" to-port="0"/>
<edge from-layer="468" from-port="0" to-layer="613" to-port="1"/>
<edge from-layer="469" from-port="0" to-layer="613" to-port="2"/>
<edge from-layer="470" from-port="0" to-layer="613" to-port="3"/>
<edge from-layer="471" from-port="0" to-layer="613" to-port="4"/>
<edge from-layer="612" from-port="1" to-layer="614" to-port="0"/>
<edge from-layer="614" from-port="1" to-layer="615" to-port="0"/>
<edge from-layer="615" from-port="1" to-layer="617" to-port="0"/>
<edge from-layer="616" from-port="0" to-layer="617" to-port="1"/>
<edge from-layer="617" from-port="2" to-layer="619" to-port="0"/>
<edge from-layer="618" from-port="0" to-layer="619" to-port="1"/>
<edge from-layer="619" from-port="2" to-layer="620" to-port="0"/>
<edge from-layer="620" from-port="1" to-layer="621" to-port="0"/>
<edge from-layer="621" from-port="1" to-layer="625" to-port="0"/>
<edge from-layer="622" from-port="0" to-layer="625" to-port="1"/>
<edge from-layer="623" from-port="0" to-layer="625" to-port="2"/>
<edge from-layer="624" from-port="0" to-layer="625" to-port="3"/>
<edge from-layer="613" from-port="5" to-layer="626" to-port="0"/>
<edge from-layer="625" from-port="4" to-layer="626" to-port="1"/>
<edge from-layer="466" from-port="0" to-layer="626" to-port="2"/>
<edge from-layer="467" from-port="0" to-layer="626" to-port="3"/>
<edge from-layer="626" from-port="4" to-layer="627" to-port="0"/>
<edge from-layer="462" from-port="0" to-layer="627" to-port="1"/>
<edge from-layer="463" from-port="0" to-layer="627" to-port="2"/>
<edge from-layer="464" from-port="0" to-layer="627" to-port="3"/>
<edge from-layer="465" from-port="0" to-layer="627" to-port="4"/>
<edge from-layer="627" from-port="5" to-layer="628" to-port="0"/>
<edge from-layer="461" from-port="5" to-layer="628" to-port="1"/>
<edge from-layer="629" from-port="0" to-layer="630" to-port="0"/>
<edge from-layer="630" from-port="1" to-layer="632" to-port="0"/>
<edge from-layer="631" from-port="0" to-layer="632" to-port="1"/>
<edge from-layer="632" from-port="2" to-layer="634" to-port="0"/>
<edge from-layer="633" from-port="0" to-layer="634" to-port="1"/>
<edge from-layer="628" from-port="2" to-layer="635" to-port="0"/>
<edge from-layer="634" from-port="2" to-layer="635" to-port="1"/>
<edge from-layer="635" from-port="2" to-layer="637" to-port="0"/>
<edge from-layer="636" from-port="0" to-layer="637" to-port="1"/>
<edge from-layer="637" from-port="2" to-layer="638" to-port="0"/>
<edge from-layer="638" from-port="1" to-layer="639" to-port="0"/>
<edge from-layer="289" from-port="0" to-layer="639" to-port="1"/>
<edge from-layer="290" from-port="0" to-layer="639" to-port="2"/>
<edge from-layer="291" from-port="0" to-layer="639" to-port="3"/>
<edge from-layer="292" from-port="0" to-layer="639" to-port="4"/>
<edge from-layer="640" from-port="0" to-layer="641" to-port="0"/>
<edge from-layer="641" from-port="1" to-layer="643" to-port="0"/>
<edge from-layer="642" from-port="0" to-layer="643" to-port="1"/>
<edge from-layer="643" from-port="2" to-layer="645" to-port="0"/>
<edge from-layer="644" from-port="0" to-layer="645" to-port="1"/>
<edge from-layer="639" from-port="5" to-layer="646" to-port="0"/>
<edge from-layer="645" from-port="2" to-layer="646" to-port="1"/>
<edge from-layer="646" from-port="2" to-layer="648" to-port="0"/>
<edge from-layer="647" from-port="0" to-layer="648" to-port="1"/>
<edge from-layer="648" from-port="2" to-layer="649" to-port="0"/>
<edge from-layer="649" from-port="1" to-layer="650" to-port="0"/>
<edge from-layer="285" from-port="0" to-layer="650" to-port="1"/>
<edge from-layer="286" from-port="0" to-layer="650" to-port="2"/>
<edge from-layer="287" from-port="0" to-layer="650" to-port="3"/>
<edge from-layer="288" from-port="0" to-layer="650" to-port="4"/>
<edge from-layer="651" from-port="0" to-layer="652" to-port="0"/>
<edge from-layer="652" from-port="1" to-layer="654" to-port="0"/>
<edge from-layer="653" from-port="0" to-layer="654" to-port="1"/>
<edge from-layer="654" from-port="2" to-layer="656" to-port="0"/>
<edge from-layer="655" from-port="0" to-layer="656" to-port="1"/>
<edge from-layer="650" from-port="5" to-layer="657" to-port="0"/>
<edge from-layer="656" from-port="2" to-layer="657" to-port="1"/>
<edge from-layer="657" from-port="2" to-layer="659" to-port="0"/>
<edge from-layer="658" from-port="0" to-layer="659" to-port="1"/>
<edge from-layer="659" from-port="2" to-layer="660" to-port="0"/>
<edge from-layer="660" from-port="1" to-layer="661" to-port="0"/>
<edge from-layer="281" from-port="0" to-layer="661" to-port="1"/>
<edge from-layer="282" from-port="0" to-layer="661" to-port="2"/>
<edge from-layer="283" from-port="0" to-layer="661" to-port="3"/>
<edge from-layer="284" from-port="0" to-layer="661" to-port="4"/>
<edge from-layer="666" from-port="0" to-layer="667" to-port="0"/>
<edge from-layer="667" from-port="1" to-layer="669" to-port="0"/>
<edge from-layer="668" from-port="0" to-layer="669" to-port="1"/>
<edge from-layer="669" from-port="2" to-layer="671" to-port="0"/>
<edge from-layer="670" from-port="0" to-layer="671" to-port="1"/>
<edge from-layer="628" from-port="2" to-layer="672" to-port="0"/>
<edge from-layer="671" from-port="2" to-layer="672" to-port="1"/>
<edge from-layer="672" from-port="2" to-layer="674" to-port="0"/>
<edge from-layer="673" from-port="0" to-layer="674" to-port="1"/>
<edge from-layer="674" from-port="2" to-layer="675" to-port="0"/>
<edge from-layer="675" from-port="1" to-layer="676" to-port="0"/>
<edge from-layer="662" from-port="0" to-layer="676" to-port="1"/>
<edge from-layer="663" from-port="0" to-layer="676" to-port="2"/>
<edge from-layer="664" from-port="0" to-layer="676" to-port="3"/>
<edge from-layer="665" from-port="0" to-layer="676" to-port="4"/>
<edge from-layer="661" from-port="5" to-layer="677" to-port="0"/>
<edge from-layer="676" from-port="5" to-layer="677" to-port="1"/>
<edge from-layer="678" from-port="0" to-layer="679" to-port="0"/>
<edge from-layer="679" from-port="1" to-layer="681" to-port="0"/>
<edge from-layer="680" from-port="0" 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="677" from-port="2" to-layer="684" to-port="0"/>
<edge from-layer="683" from-port="2" to-layer="684" to-port="1"/>
<edge from-layer="684" from-port="2" to-layer="686" to-port="0"/>
<edge from-layer="685" from-port="0" to-layer="686" to-port="1"/>
<edge from-layer="686" from-port="2" to-layer="687" to-port="0"/>
<edge from-layer="687" from-port="1" to-layer="688" to-port="0"/>
<edge from-layer="277" from-port="0" to-layer="688" to-port="1"/>
<edge from-layer="278" from-port="0" to-layer="688" to-port="2"/>
<edge from-layer="279" from-port="0" to-layer="688" to-port="3"/>
<edge from-layer="280" from-port="0" to-layer="688" to-port="4"/>
<edge from-layer="689" from-port="0" to-layer="690" to-port="0"/>
<edge from-layer="690" from-port="1" to-layer="692" to-port="0"/>
<edge from-layer="691" from-port="0" to-layer="692" to-port="1"/>
<edge from-layer="692" from-port="2" to-layer="694" to-port="0"/>
<edge from-layer="693" from-port="0" to-layer="694" to-port="1"/>
<edge from-layer="688" from-port="5" to-layer="695" to-port="0"/>
<edge from-layer="694" from-port="2" to-layer="695" to-port="1"/>
<edge from-layer="695" from-port="2" to-layer="697" to-port="0"/>
<edge from-layer="696" from-port="0" to-layer="697" to-port="1"/>
<edge from-layer="697" from-port="2" to-layer="698" to-port="0"/>
<edge from-layer="698" from-port="1" to-layer="699" to-port="0"/>
<edge from-layer="273" from-port="0" to-layer="699" to-port="1"/>
<edge from-layer="274" from-port="0" to-layer="699" to-port="2"/>
<edge from-layer="275" from-port="0" to-layer="699" to-port="3"/>
<edge from-layer="276" from-port="0" to-layer="699" to-port="4"/>
<edge from-layer="698" from-port="1" to-layer="700" to-port="0"/>
<edge from-layer="700" from-port="1" to-layer="701" to-port="0"/>
<edge from-layer="701" from-port="1" to-layer="703" to-port="0"/>
<edge from-layer="702" from-port="0" to-layer="703" to-port="1"/>
<edge from-layer="703" from-port="2" to-layer="705" to-port="0"/>
<edge from-layer="704" from-port="0" to-layer="705" to-port="1"/>
<edge from-layer="705" from-port="2" to-layer="706" to-port="0"/>
<edge from-layer="706" from-port="1" to-layer="707" to-port="0"/>
<edge from-layer="707" from-port="1" to-layer="711" to-port="0"/>
<edge from-layer="708" from-port="0" to-layer="711" to-port="1"/>
<edge from-layer="709" from-port="0" to-layer="711" to-port="2"/>
<edge from-layer="710" from-port="0" to-layer="711" to-port="3"/>
<edge from-layer="699" from-port="5" to-layer="712" to-port="0"/>
<edge from-layer="711" from-port="4" to-layer="712" to-port="1"/>
<edge from-layer="271" from-port="0" to-layer="712" to-port="2"/>
<edge from-layer="272" from-port="0" to-layer="712" to-port="3"/>
<edge from-layer="712" from-port="4" to-layer="713" to-port="0"/>
<edge from-layer="267" from-port="0" to-layer="713" to-port="1"/>
<edge from-layer="268" from-port="0" to-layer="713" to-port="2"/>
<edge from-layer="269" from-port="0" to-layer="713" to-port="3"/>
<edge from-layer="270" from-port="0" to-layer="713" to-port="4"/>
<edge from-layer="713" from-port="5" to-layer="714" to-port="0"/>
<edge from-layer="266" from-port="5" to-layer="714" to-port="1"/>
<edge from-layer="715" from-port="0" to-layer="716" to-port="0"/>
<edge from-layer="716" from-port="1" to-layer="718" to-port="0"/>
<edge from-layer="717" from-port="0" to-layer="718" to-port="1"/>
<edge from-layer="718" from-port="2" to-layer="720" to-port="0"/>
<edge from-layer="719" from-port="0" to-layer="720" to-port="1"/>
<edge from-layer="714" from-port="2" to-layer="721" to-port="0"/>
<edge from-layer="720" from-port="2" 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="12" from-port="0" to-layer="725" to-port="1"/>
<edge from-layer="13" from-port="0" to-layer="725" to-port="2"/>
<edge from-layer="14" from-port="0" to-layer="725" to-port="3"/>
<edge from-layer="15" from-port="0" to-layer="725" to-port="4"/>
<edge from-layer="726" from-port="0" to-layer="727" to-port="0"/>
<edge from-layer="727" from-port="1" to-layer="729" to-port="0"/>
<edge from-layer="728" from-port="0" to-layer="729" to-port="1"/>
<edge from-layer="729" from-port="2" to-layer="731" to-port="0"/>
<edge from-layer="730" from-port="0" to-layer="731" to-port="1"/>
<edge from-layer="725" from-port="5" to-layer="732" to-port="0"/>
<edge from-layer="731" from-port="2" to-layer="732" to-port="1"/>
<edge from-layer="732" from-port="2" to-layer="734" to-port="0"/>
<edge from-layer="733" from-port="0" to-layer="734" to-port="1"/>
<edge from-layer="734" from-port="2" to-layer="735" to-port="0"/>
<edge from-layer="735" from-port="1" to-layer="736" to-port="0"/>
<edge from-layer="8" from-port="0" to-layer="736" to-port="1"/>
<edge from-layer="9" from-port="0" to-layer="736" to-port="2"/>
<edge from-layer="10" from-port="0" to-layer="736" to-port="3"/>
<edge from-layer="11" from-port="0" to-layer="736" to-port="4"/>
<edge from-layer="737" from-port="0" to-layer="738" to-port="0"/>
<edge from-layer="738" from-port="1" to-layer="740" to-port="0"/>
<edge from-layer="739" from-port="0" to-layer="740" to-port="1"/>
<edge from-layer="740" from-port="2" to-layer="742" to-port="0"/>
<edge from-layer="741" from-port="0" to-layer="742" to-port="1"/>
<edge from-layer="736" from-port="5" to-layer="743" to-port="0"/>
<edge from-layer="742" from-port="2" to-layer="743" to-port="1"/>
<edge from-layer="743" from-port="2" to-layer="745" to-port="0"/>
<edge from-layer="744" from-port="0" to-layer="745" to-port="1"/>
<edge from-layer="745" from-port="2" to-layer="746" to-port="0"/>
<edge from-layer="746" from-port="1" to-layer="747" to-port="0"/>
<edge from-layer="4" from-port="0" to-layer="747" to-port="1"/>
<edge from-layer="5" from-port="0" to-layer="747" to-port="2"/>
<edge from-layer="6" from-port="0" to-layer="747" to-port="3"/>
<edge from-layer="7" from-port="0" to-layer="747" to-port="4"/>
<edge from-layer="752" from-port="0" to-layer="753" to-port="0"/>
<edge from-layer="753" from-port="1" to-layer="755" to-port="0"/>
<edge from-layer="754" from-port="0" 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="714" from-port="2" to-layer="758" to-port="0"/>
<edge from-layer="757" from-port="2" to-layer="758" to-port="1"/>
<edge from-layer="758" from-port="2" to-layer="760" to-port="0"/>
<edge from-layer="759" from-port="0" to-layer="760" to-port="1"/>
<edge from-layer="760" from-port="2" to-layer="761" to-port="0"/>
<edge from-layer="761" from-port="1" to-layer="762" to-port="0"/>
<edge from-layer="748" from-port="0" to-layer="762" to-port="1"/>
<edge from-layer="749" from-port="0" to-layer="762" to-port="2"/>
<edge from-layer="750" from-port="0" to-layer="762" to-port="3"/>
<edge from-layer="751" from-port="0" to-layer="762" to-port="4"/>
<edge from-layer="747" from-port="5" to-layer="763" to-port="0"/>
<edge from-layer="762" from-port="5" to-layer="763" to-port="1"/>
<edge from-layer="764" from-port="0" to-layer="765" to-port="0"/>
<edge from-layer="765" from-port="1" to-layer="767" to-port="0"/>
<edge from-layer="766" from-port="0" to-layer="767" to-port="1"/>
<edge from-layer="767" from-port="2" to-layer="769" to-port="0"/>
<edge from-layer="768" from-port="0" to-layer="769" to-port="1"/>
<edge from-layer="763" from-port="2" to-layer="770" to-port="0"/>
<edge from-layer="769" from-port="2" 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="0" from-port="0" to-layer="774" to-port="1"/>
<edge from-layer="1" from-port="0" to-layer="774" to-port="2"/>
<edge from-layer="2" from-port="0" to-layer="774" to-port="3"/>
<edge from-layer="3" from-port="0" to-layer="774" to-port="4"/>
<edge from-layer="775" from-port="0" to-layer="776" to-port="0"/>
<edge from-layer="776" from-port="1" 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="780" to-port="0"/>
<edge from-layer="779" from-port="0" to-layer="780" to-port="1"/>
<edge from-layer="774" from-port="5" to-layer="781" to-port="0"/>
<edge from-layer="780" from-port="2" 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="809" from-port="0" to-layer="810" to-port="0"/>
<edge from-layer="810" from-port="1" to-layer="812" to-port="0"/>
<edge from-layer="811" from-port="0" to-layer="812" to-port="1"/>
<edge from-layer="812" from-port="2" to-layer="814" to-port="0"/>
<edge from-layer="813" from-port="0" to-layer="814" to-port="1"/>
<edge from-layer="774" from-port="5" to-layer="815" to-port="0"/>
<edge from-layer="814" from-port="2" to-layer="815" to-port="1"/>
<edge from-layer="815" from-port="2" to-layer="817" to-port="0"/>
<edge from-layer="816" from-port="0" to-layer="817" to-port="1"/>
<edge from-layer="817" from-port="2" to-layer="818" to-port="0"/>
<edge from-layer="818" from-port="1" to-layer="819" to-port="0"/>
<edge from-layer="805" from-port="0" to-layer="819" to-port="1"/>
<edge from-layer="806" from-port="0" to-layer="819" to-port="2"/>
<edge from-layer="807" from-port="0" to-layer="819" to-port="3"/>
<edge from-layer="808" from-port="0" to-layer="819" to-port="4"/>
<edge from-layer="819" from-port="5" to-layer="820" to-port="0"/>
<edge from-layer="699" from-port="5" to-layer="820" to-port="1"/>
<edge from-layer="821" from-port="0" to-layer="822" to-port="0"/>
<edge from-layer="822" from-port="1" to-layer="824" to-port="0"/>
<edge from-layer="823" from-port="0" to-layer="824" to-port="1"/>
<edge from-layer="824" from-port="2" to-layer="826" to-port="0"/>
<edge from-layer="825" from-port="0" to-layer="826" to-port="1"/>
<edge from-layer="820" from-port="2" to-layer="827" to-port="0"/>
<edge from-layer="826" from-port="2" to-layer="827" to-port="1"/>
<edge from-layer="827" from-port="2" to-layer="829" to-port="0"/>
<edge from-layer="828" from-port="0" to-layer="829" to-port="1"/>
<edge from-layer="829" from-port="2" to-layer="830" to-port="0"/>
<edge from-layer="830" from-port="1" to-layer="831" to-port="0"/>
<edge from-layer="801" from-port="0" to-layer="831" to-port="1"/>
<edge from-layer="802" from-port="0" to-layer="831" to-port="2"/>
<edge from-layer="803" from-port="0" to-layer="831" to-port="3"/>
<edge from-layer="804" from-port="0" to-layer="831" to-port="4"/>
<edge from-layer="832" from-port="0" to-layer="833" to-port="0"/>
<edge from-layer="833" from-port="1" 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="837" to-port="0"/>
<edge from-layer="836" from-port="0" to-layer="837" to-port="1"/>
<edge from-layer="831" from-port="5" to-layer="838" to-port="0"/>
<edge from-layer="837" from-port="2" to-layer="838" to-port="1"/>
<edge from-layer="838" from-port="2" to-layer="840" to-port="0"/>
<edge from-layer="839" from-port="0" to-layer="840" to-port="1"/>
<edge from-layer="840" from-port="2" to-layer="841" to-port="0"/>
<edge from-layer="841" from-port="1" to-layer="842" to-port="0"/>
<edge from-layer="797" from-port="0" to-layer="842" to-port="1"/>
<edge from-layer="798" from-port="0" to-layer="842" to-port="2"/>
<edge from-layer="799" from-port="0" to-layer="842" to-port="3"/>
<edge from-layer="800" from-port="0" to-layer="842" to-port="4"/>
<edge from-layer="843" from-port="0" to-layer="844" to-port="0"/>
<edge from-layer="844" from-port="1" to-layer="846" to-port="0"/>
<edge from-layer="845" from-port="0" to-layer="846" to-port="1"/>
<edge from-layer="846" from-port="2" to-layer="848" to-port="0"/>
<edge from-layer="847" from-port="0" to-layer="848" to-port="1"/>
<edge from-layer="842" from-port="5" to-layer="849" to-port="0"/>
<edge from-layer="848" from-port="2" to-layer="849" to-port="1"/>
<edge from-layer="849" from-port="2" to-layer="851" to-port="0"/>
<edge from-layer="850" from-port="0" to-layer="851" to-port="1"/>
<edge from-layer="851" from-port="2" to-layer="852" to-port="0"/>
<edge from-layer="852" from-port="1" to-layer="853" to-port="0"/>
<edge from-layer="793" from-port="0" to-layer="853" to-port="1"/>
<edge from-layer="794" from-port="0" to-layer="853" to-port="2"/>
<edge from-layer="795" from-port="0" to-layer="853" to-port="3"/>
<edge from-layer="796" from-port="0" to-layer="853" to-port="4"/>
<edge from-layer="858" from-port="0" to-layer="859" to-port="0"/>
<edge from-layer="859" from-port="1" to-layer="861" to-port="0"/>
<edge from-layer="860" from-port="0" 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="820" from-port="2" to-layer="864" to-port="0"/>
<edge from-layer="863" from-port="2" to-layer="864" to-port="1"/>
<edge from-layer="864" from-port="2" to-layer="866" to-port="0"/>
<edge from-layer="865" from-port="0" to-layer="866" to-port="1"/>
<edge from-layer="866" from-port="2" to-layer="867" to-port="0"/>
<edge from-layer="867" from-port="1" to-layer="868" to-port="0"/>
<edge from-layer="854" from-port="0" to-layer="868" to-port="1"/>
<edge from-layer="855" from-port="0" to-layer="868" to-port="2"/>
<edge from-layer="856" from-port="0" to-layer="868" to-port="3"/>
<edge from-layer="857" from-port="0" to-layer="868" to-port="4"/>
<edge from-layer="853" from-port="5" to-layer="869" to-port="0"/>
<edge from-layer="868" from-port="5" to-layer="869" to-port="1"/>
<edge from-layer="870" from-port="0" to-layer="871" to-port="0"/>
<edge from-layer="871" from-port="1" to-layer="873" to-port="0"/>
<edge from-layer="872" from-port="0" to-layer="873" to-port="1"/>
<edge from-layer="873" from-port="2" to-layer="875" to-port="0"/>
<edge from-layer="874" from-port="0" to-layer="875" to-port="1"/>
<edge from-layer="869" from-port="2" to-layer="876" to-port="0"/>
<edge from-layer="875" from-port="2" 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="789" from-port="0" to-layer="880" to-port="1"/>
<edge from-layer="790" from-port="0" to-layer="880" to-port="2"/>
<edge from-layer="791" from-port="0" to-layer="880" to-port="3"/>
<edge from-layer="792" from-port="0" to-layer="880" to-port="4"/>
<edge from-layer="881" from-port="0" to-layer="882" to-port="0"/>
<edge from-layer="882" from-port="1" 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="886" to-port="0"/>
<edge from-layer="885" from-port="0" to-layer="886" to-port="1"/>
<edge from-layer="880" from-port="5" to-layer="887" to-port="0"/>
<edge from-layer="886" from-port="2" 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="915" from-port="0" to-layer="916" to-port="0"/>
<edge from-layer="916" from-port="1" to-layer="918" to-port="0"/>
<edge from-layer="917" from-port="0" to-layer="918" to-port="1"/>
<edge from-layer="918" from-port="2" to-layer="920" to-port="0"/>
<edge from-layer="919" from-port="0" to-layer="920" to-port="1"/>
<edge from-layer="880" from-port="5" to-layer="921" to-port="0"/>
<edge from-layer="920" from-port="2" to-layer="921" to-port="1"/>
<edge from-layer="921" from-port="2" to-layer="923" to-port="0"/>
<edge from-layer="922" from-port="0" to-layer="923" to-port="1"/>
<edge from-layer="923" from-port="2" to-layer="924" to-port="0"/>
<edge from-layer="924" from-port="1" to-layer="925" to-port="0"/>
<edge from-layer="911" from-port="0" to-layer="925" to-port="1"/>
<edge from-layer="912" from-port="0" to-layer="925" to-port="2"/>
<edge from-layer="913" from-port="0" to-layer="925" to-port="3"/>
<edge from-layer="914" from-port="0" to-layer="925" to-port="4"/>
<edge from-layer="925" from-port="5" to-layer="926" to-port="0"/>
<edge from-layer="613" from-port="5" to-layer="926" to-port="1"/>
<edge from-layer="927" from-port="0" to-layer="928" to-port="0"/>
<edge from-layer="928" from-port="1" to-layer="930" to-port="0"/>
<edge from-layer="929" from-port="0" to-layer="930" to-port="1"/>
<edge from-layer="930" from-port="2" to-layer="932" to-port="0"/>
<edge from-layer="931" from-port="0" to-layer="932" to-port="1"/>
<edge from-layer="926" from-port="2" to-layer="933" to-port="0"/>
<edge from-layer="932" from-port="2" 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="907" from-port="0" to-layer="937" to-port="1"/>
<edge from-layer="908" from-port="0" to-layer="937" to-port="2"/>
<edge from-layer="909" from-port="0" to-layer="937" to-port="3"/>
<edge from-layer="910" from-port="0" to-layer="937" to-port="4"/>
<edge from-layer="938" from-port="0" to-layer="939" to-port="0"/>
<edge from-layer="939" from-port="1" 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="943" to-port="0"/>
<edge from-layer="942" from-port="0" to-layer="943" to-port="1"/>
<edge from-layer="937" from-port="5" to-layer="944" to-port="0"/>
<edge from-layer="943" from-port="2" to-layer="944" to-port="1"/>
<edge from-layer="944" from-port="2" to-layer="946" to-port="0"/>
<edge from-layer="945" from-port="0" to-layer="946" to-port="1"/>
<edge from-layer="946" from-port="2" to-layer="947" to-port="0"/>
<edge from-layer="947" from-port="1" to-layer="948" to-port="0"/>
<edge from-layer="903" from-port="0" to-layer="948" to-port="1"/>
<edge from-layer="904" from-port="0" to-layer="948" to-port="2"/>
<edge from-layer="905" from-port="0" to-layer="948" to-port="3"/>
<edge from-layer="906" from-port="0" to-layer="948" to-port="4"/>
<edge from-layer="949" from-port="0" to-layer="950" to-port="0"/>
<edge from-layer="950" from-port="1" 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="954" to-port="0"/>
<edge from-layer="953" from-port="0" to-layer="954" to-port="1"/>
<edge from-layer="948" from-port="5" to-layer="955" to-port="0"/>
<edge from-layer="954" from-port="2" to-layer="955" to-port="1"/>
<edge from-layer="955" from-port="2" to-layer="957" to-port="0"/>
<edge from-layer="956" from-port="0" to-layer="957" to-port="1"/>
<edge from-layer="957" from-port="2" to-layer="958" to-port="0"/>
<edge from-layer="958" from-port="1" to-layer="959" to-port="0"/>
<edge from-layer="899" from-port="0" to-layer="959" to-port="1"/>
<edge from-layer="900" from-port="0" to-layer="959" to-port="2"/>
<edge from-layer="901" from-port="0" to-layer="959" to-port="3"/>
<edge from-layer="902" from-port="0" to-layer="959" to-port="4"/>
<edge from-layer="964" from-port="0" to-layer="965" to-port="0"/>
<edge from-layer="965" from-port="1" to-layer="967" to-port="0"/>
<edge from-layer="966" from-port="0" to-layer="967" to-port="1"/>
<edge from-layer="967" from-port="2" to-layer="969" to-port="0"/>
<edge from-layer="968" from-port="0" to-layer="969" to-port="1"/>
<edge from-layer="926" from-port="2" to-layer="970" to-port="0"/>
<edge from-layer="969" from-port="2" to-layer="970" to-port="1"/>
<edge from-layer="970" from-port="2" to-layer="972" to-port="0"/>
<edge from-layer="971" from-port="0" to-layer="972" to-port="1"/>
<edge from-layer="972" from-port="2" to-layer="973" to-port="0"/>
<edge from-layer="973" from-port="1" to-layer="974" to-port="0"/>
<edge from-layer="960" from-port="0" to-layer="974" to-port="1"/>
<edge from-layer="961" from-port="0" to-layer="974" to-port="2"/>
<edge from-layer="962" from-port="0" to-layer="974" to-port="3"/>
<edge from-layer="963" from-port="0" to-layer="974" to-port="4"/>
<edge from-layer="959" from-port="5" to-layer="975" to-port="0"/>
<edge from-layer="974" from-port="5" to-layer="975" to-port="1"/>
<edge from-layer="976" from-port="0" to-layer="977" to-port="0"/>
<edge from-layer="977" from-port="1" to-layer="979" to-port="0"/>
<edge from-layer="978" from-port="0" to-layer="979" to-port="1"/>
<edge from-layer="979" from-port="2" to-layer="981" to-port="0"/>
<edge from-layer="980" from-port="0" to-layer="981" to-port="1"/>
<edge from-layer="975" from-port="2" to-layer="982" to-port="0"/>
<edge from-layer="981" from-port="2" 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="987" from-port="0" to-layer="988" to-port="0"/>
<edge from-layer="988" from-port="1" to-layer="990" to-port="0"/>
<edge from-layer="989" from-port="0" to-layer="990" to-port="1"/>
<edge from-layer="990" from-port="2" to-layer="992" to-port="0"/>
<edge from-layer="991" from-port="0" to-layer="992" to-port="1"/>
<edge from-layer="986" from-port="5" to-layer="993" to-port="0"/>
<edge from-layer="992" from-port="2" 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="1018" to-port="0"/>
<edge from-layer="1014" from-port="0" to-layer="1018" to-port="1"/>
<edge from-layer="1015" from-port="0" to-layer="1018" to-port="2"/>
<edge from-layer="1016" from-port="0" to-layer="1018" to-port="3"/>
<edge from-layer="1017" from-port="0" to-layer="1018" to-port="4"/>
<edge from-layer="1018" from-port="5" to-layer="1019" to-port="0"/>
<edge from-layer="1013" from-port="0" to-layer="1019" to-port="1"/>
<edge from-layer="1019" from-port="2" to-layer="1021" to-port="0"/>
<edge from-layer="1020" from-port="0" to-layer="1021" to-port="1"/>
<edge from-layer="1021" from-port="2" to-layer="1022" to-port="0"/>
<edge from-layer="1009" from-port="0" to-layer="1022" to-port="1"/>
<edge from-layer="1010" from-port="0" to-layer="1022" to-port="2"/>
<edge from-layer="1011" from-port="0" to-layer="1022" to-port="3"/>
<edge from-layer="1012" from-port="0" to-layer="1022" to-port="4"/>
<edge from-layer="1023" from-port="0" to-layer="1024" to-port="0"/>
<edge from-layer="1024" from-port="1" to-layer="1026" to-port="0"/>
<edge from-layer="1025" from-port="0" to-layer="1026" to-port="1"/>
<edge from-layer="1026" from-port="2" to-layer="1028" to-port="0"/>
<edge from-layer="1027" from-port="0" to-layer="1028" to-port="1"/>
<edge from-layer="1022" from-port="5" to-layer="1029" to-port="0"/>
<edge from-layer="1028" from-port="2" to-layer="1029" to-port="1"/>
<edge from-layer="1029" from-port="2" to-layer="1030" to-port="0"/>
<edge from-layer="1005" from-port="0" to-layer="1030" to-port="1"/>
<edge from-layer="1006" from-port="0" to-layer="1030" to-port="2"/>
<edge from-layer="1007" from-port="0" to-layer="1030" to-port="3"/>
<edge from-layer="1008" from-port="0" to-layer="1030" to-port="4"/>
<edge from-layer="1031" from-port="0" to-layer="1032" to-port="0"/>
<edge from-layer="1032" from-port="1" to-layer="1034" to-port="0"/>
<edge from-layer="1033" from-port="0" to-layer="1034" to-port="1"/>
<edge from-layer="1034" from-port="2" to-layer="1036" to-port="0"/>
<edge from-layer="1035" from-port="0" to-layer="1036" to-port="1"/>
<edge from-layer="1030" from-port="5" to-layer="1037" to-port="0"/>
<edge from-layer="1036" from-port="2" to-layer="1037" to-port="1"/>
<edge from-layer="1004" from-port="4" to-layer="1051" to-port="0"/>
<edge from-layer="1047" from-port="0" to-layer="1051" to-port="1"/>
<edge from-layer="1048" from-port="0" to-layer="1051" to-port="2"/>
<edge from-layer="1049" from-port="0" to-layer="1051" to-port="3"/>
<edge from-layer="1050" from-port="0" to-layer="1051" to-port="4"/>
<edge from-layer="1052" from-port="0" to-layer="1053" to-port="0"/>
<edge from-layer="1053" from-port="1" to-layer="1055" to-port="0"/>
<edge from-layer="1054" from-port="0" to-layer="1055" to-port="1"/>
<edge from-layer="1055" from-port="2" to-layer="1057" to-port="0"/>
<edge from-layer="1056" from-port="0" to-layer="1057" to-port="1"/>
<edge from-layer="1051" from-port="5" to-layer="1058" to-port="0"/>
<edge from-layer="1057" from-port="2" to-layer="1058" to-port="1"/>
<edge from-layer="1058" from-port="2" to-layer="1059" to-port="0"/>
<edge from-layer="1043" from-port="0" to-layer="1059" to-port="1"/>
<edge from-layer="1044" from-port="0" to-layer="1059" to-port="2"/>
<edge from-layer="1045" from-port="0" to-layer="1059" to-port="3"/>
<edge from-layer="1046" from-port="0" to-layer="1059" to-port="4"/>
<edge from-layer="1059" from-port="5" to-layer="1060" to-port="0"/>
<edge from-layer="1042" from-port="0" to-layer="1060" to-port="1"/>
<edge from-layer="1060" from-port="2" to-layer="1061" to-port="0"/>
<edge from-layer="1038" from-port="0" to-layer="1061" to-port="1"/>
<edge from-layer="1039" from-port="0" to-layer="1061" to-port="2"/>
<edge from-layer="1040" from-port="0" to-layer="1061" to-port="3"/>
<edge from-layer="1041" from-port="0" to-layer="1061" to-port="4"/>
<edge from-layer="1062" from-port="0" to-layer="1063" to-port="0"/>
<edge from-layer="1063" from-port="1" to-layer="1065" to-port="0"/>
<edge from-layer="1064" from-port="0" to-layer="1065" to-port="1"/>
<edge from-layer="1065" from-port="2" to-layer="1067" to-port="0"/>
<edge from-layer="1066" from-port="0" to-layer="1067" to-port="1"/>
<edge from-layer="1061" from-port="5" to-layer="1068" to-port="0"/>
<edge from-layer="1067" from-port="2" to-layer="1068" to-port="1"/>
<edge from-layer="1037" from-port="2" to-layer="1069" to-port="0"/>
<edge from-layer="1068" from-port="2" to-layer="1069" to-port="1"/>
<edge from-layer="1004" from-port="5" to-layer="1069" to-port="2"/>
<edge from-layer="1069" from-port="3" to-layer="1071" to-port="0"/>
<edge from-layer="1070" from-port="0" to-layer="1071" to-port="1"/>
<edge from-layer="893" from-port="2" to-layer="1072" to-port="0"/>
<edge from-layer="1072" from-port="1" to-layer="1075" to-port="0"/>
<edge from-layer="1073" from-port="0" to-layer="1075" to-port="1"/>
<edge from-layer="1074" from-port="0" to-layer="1075" to-port="2"/>
<edge from-layer="1075" from-port="3" to-layer="1089" to-port="0"/>
<edge from-layer="1085" from-port="0" to-layer="1089" to-port="1"/>
<edge from-layer="1086" from-port="0" to-layer="1089" to-port="2"/>
<edge from-layer="1087" from-port="0" to-layer="1089" to-port="3"/>
<edge from-layer="1088" from-port="0" to-layer="1089" to-port="4"/>
<edge from-layer="1089" from-port="5" to-layer="1090" to-port="0"/>
<edge from-layer="1084" from-port="0" to-layer="1090" to-port="1"/>
<edge from-layer="1090" from-port="2" to-layer="1092" to-port="0"/>
<edge from-layer="1091" from-port="0" to-layer="1092" to-port="1"/>
<edge from-layer="1092" from-port="2" to-layer="1093" to-port="0"/>
<edge from-layer="1080" from-port="0" to-layer="1093" to-port="1"/>
<edge from-layer="1081" from-port="0" to-layer="1093" to-port="2"/>
<edge from-layer="1082" from-port="0" to-layer="1093" to-port="3"/>
<edge from-layer="1083" from-port="0" to-layer="1093" to-port="4"/>
<edge from-layer="1094" from-port="0" to-layer="1095" to-port="0"/>
<edge from-layer="1095" from-port="1" to-layer="1097" to-port="0"/>
<edge from-layer="1096" from-port="0" to-layer="1097" to-port="1"/>
<edge from-layer="1097" from-port="2" to-layer="1099" to-port="0"/>
<edge from-layer="1098" from-port="0" to-layer="1099" to-port="1"/>
<edge from-layer="1093" from-port="5" to-layer="1100" to-port="0"/>
<edge from-layer="1099" from-port="2" to-layer="1100" to-port="1"/>
<edge from-layer="1100" from-port="2" to-layer="1101" to-port="0"/>
<edge from-layer="1076" from-port="0" to-layer="1101" to-port="1"/>
<edge from-layer="1077" from-port="0" to-layer="1101" to-port="2"/>
<edge from-layer="1078" from-port="0" to-layer="1101" to-port="3"/>
<edge from-layer="1079" from-port="0" to-layer="1101" to-port="4"/>
<edge from-layer="1102" from-port="0" to-layer="1103" to-port="0"/>
<edge from-layer="1103" from-port="1" to-layer="1105" to-port="0"/>
<edge from-layer="1104" from-port="0" to-layer="1105" to-port="1"/>
<edge from-layer="1105" from-port="2" to-layer="1107" to-port="0"/>
<edge from-layer="1106" from-port="0" to-layer="1107" to-port="1"/>
<edge from-layer="1101" from-port="5" to-layer="1108" to-port="0"/>
<edge from-layer="1107" from-port="2" to-layer="1108" to-port="1"/>
<edge from-layer="1075" from-port="4" to-layer="1122" to-port="0"/>
<edge from-layer="1118" from-port="0" to-layer="1122" to-port="1"/>
<edge from-layer="1119" from-port="0" to-layer="1122" to-port="2"/>
<edge from-layer="1120" from-port="0" to-layer="1122" to-port="3"/>
<edge from-layer="1121" from-port="0" to-layer="1122" to-port="4"/>
<edge from-layer="1123" from-port="0" to-layer="1124" to-port="0"/>
<edge from-layer="1124" from-port="1" to-layer="1126" to-port="0"/>
<edge from-layer="1125" from-port="0" to-layer="1126" to-port="1"/>
<edge from-layer="1126" from-port="2" to-layer="1128" to-port="0"/>
<edge from-layer="1127" from-port="0" to-layer="1128" to-port="1"/>
<edge from-layer="1122" from-port="5" to-layer="1129" to-port="0"/>
<edge from-layer="1128" from-port="2" to-layer="1129" to-port="1"/>
<edge from-layer="1129" from-port="2" to-layer="1130" to-port="0"/>
<edge from-layer="1114" from-port="0" to-layer="1130" to-port="1"/>
<edge from-layer="1115" from-port="0" to-layer="1130" to-port="2"/>
<edge from-layer="1116" from-port="0" to-layer="1130" to-port="3"/>
<edge from-layer="1117" from-port="0" to-layer="1130" to-port="4"/>
<edge from-layer="1130" from-port="5" to-layer="1131" to-port="0"/>
<edge from-layer="1113" from-port="0" to-layer="1131" to-port="1"/>
<edge from-layer="1131" from-port="2" to-layer="1132" to-port="0"/>
<edge from-layer="1109" from-port="0" to-layer="1132" to-port="1"/>
<edge from-layer="1110" from-port="0" to-layer="1132" to-port="2"/>
<edge from-layer="1111" from-port="0" to-layer="1132" to-port="3"/>
<edge from-layer="1112" from-port="0" to-layer="1132" to-port="4"/>
<edge from-layer="1133" from-port="0" to-layer="1134" to-port="0"/>
<edge from-layer="1134" from-port="1" to-layer="1136" to-port="0"/>
<edge from-layer="1135" from-port="0" to-layer="1136" to-port="1"/>
<edge from-layer="1136" from-port="2" to-layer="1138" to-port="0"/>
<edge from-layer="1137" from-port="0" to-layer="1138" to-port="1"/>
<edge from-layer="1132" from-port="5" to-layer="1139" to-port="0"/>
<edge from-layer="1138" from-port="2" to-layer="1139" to-port="1"/>
<edge from-layer="1108" from-port="2" to-layer="1140" to-port="0"/>
<edge from-layer="1139" from-port="2" to-layer="1140" to-port="1"/>
<edge from-layer="1075" from-port="5" to-layer="1140" to-port="2"/>
<edge from-layer="1140" from-port="3" to-layer="1142" to-port="0"/>
<edge from-layer="1141" from-port="0" to-layer="1142" to-port="1"/>
<edge from-layer="999" from-port="2" to-layer="1143" to-port="0"/>
<edge from-layer="1143" from-port="1" to-layer="1146" to-port="0"/>
<edge from-layer="1144" from-port="0" to-layer="1146" to-port="1"/>
<edge from-layer="1145" from-port="0" to-layer="1146" to-port="2"/>
<edge from-layer="1146" from-port="3" to-layer="1160" to-port="0"/>
<edge from-layer="1156" from-port="0" to-layer="1160" to-port="1"/>
<edge from-layer="1157" from-port="0" to-layer="1160" to-port="2"/>
<edge from-layer="1158" from-port="0" to-layer="1160" to-port="3"/>
<edge from-layer="1159" from-port="0" to-layer="1160" to-port="4"/>
<edge from-layer="1160" from-port="5" to-layer="1161" to-port="0"/>
<edge from-layer="1155" from-port="0" to-layer="1161" to-port="1"/>
<edge from-layer="1161" from-port="2" to-layer="1163" to-port="0"/>
<edge from-layer="1162" from-port="0" to-layer="1163" to-port="1"/>
<edge from-layer="1163" from-port="2" to-layer="1164" to-port="0"/>
<edge from-layer="1151" from-port="0" to-layer="1164" to-port="1"/>
<edge from-layer="1152" from-port="0" to-layer="1164" to-port="2"/>
<edge from-layer="1153" from-port="0" to-layer="1164" to-port="3"/>
<edge from-layer="1154" from-port="0" to-layer="1164" to-port="4"/>
<edge from-layer="1165" from-port="0" to-layer="1166" to-port="0"/>
<edge from-layer="1166" from-port="1" to-layer="1168" to-port="0"/>
<edge from-layer="1167" from-port="0" to-layer="1168" to-port="1"/>
<edge from-layer="1168" from-port="2" to-layer="1170" to-port="0"/>
<edge from-layer="1169" from-port="0" to-layer="1170" to-port="1"/>
<edge from-layer="1164" from-port="5" to-layer="1171" to-port="0"/>
<edge from-layer="1170" from-port="2" to-layer="1171" to-port="1"/>
<edge from-layer="1171" from-port="2" to-layer="1172" to-port="0"/>
<edge from-layer="1147" from-port="0" to-layer="1172" to-port="1"/>
<edge from-layer="1148" from-port="0" to-layer="1172" to-port="2"/>
<edge from-layer="1149" from-port="0" to-layer="1172" to-port="3"/>
<edge from-layer="1150" from-port="0" to-layer="1172" to-port="4"/>
<edge from-layer="1173" from-port="0" to-layer="1174" to-port="0"/>
<edge from-layer="1174" from-port="1" to-layer="1176" to-port="0"/>
<edge from-layer="1175" from-port="0" to-layer="1176" to-port="1"/>
<edge from-layer="1176" from-port="2" to-layer="1178" to-port="0"/>
<edge from-layer="1177" from-port="0" to-layer="1178" to-port="1"/>
<edge from-layer="1172" from-port="5" to-layer="1179" to-port="0"/>
<edge from-layer="1178" from-port="2" to-layer="1179" to-port="1"/>
<edge from-layer="1146" from-port="4" to-layer="1193" to-port="0"/>
<edge from-layer="1189" from-port="0" to-layer="1193" to-port="1"/>
<edge from-layer="1190" from-port="0" to-layer="1193" to-port="2"/>
<edge from-layer="1191" from-port="0" to-layer="1193" to-port="3"/>
<edge from-layer="1192" from-port="0" to-layer="1193" to-port="4"/>
<edge from-layer="1194" from-port="0" to-layer="1195" to-port="0"/>
<edge from-layer="1195" from-port="1" to-layer="1197" to-port="0"/>
<edge from-layer="1196" from-port="0" to-layer="1197" to-port="1"/>
<edge from-layer="1197" from-port="2" to-layer="1199" to-port="0"/>
<edge from-layer="1198" from-port="0" to-layer="1199" to-port="1"/>
<edge from-layer="1193" from-port="5" to-layer="1200" to-port="0"/>
<edge from-layer="1199" from-port="2" to-layer="1200" to-port="1"/>
<edge from-layer="1200" from-port="2" to-layer="1201" to-port="0"/>
<edge from-layer="1185" from-port="0" to-layer="1201" to-port="1"/>
<edge from-layer="1186" from-port="0" to-layer="1201" to-port="2"/>
<edge from-layer="1187" from-port="0" to-layer="1201" to-port="3"/>
<edge from-layer="1188" from-port="0" to-layer="1201" to-port="4"/>
<edge from-layer="1201" from-port="5" to-layer="1202" to-port="0"/>
<edge from-layer="1184" from-port="0" to-layer="1202" to-port="1"/>
<edge from-layer="1202" from-port="2" to-layer="1203" to-port="0"/>
<edge from-layer="1180" from-port="0" to-layer="1203" to-port="1"/>
<edge from-layer="1181" from-port="0" to-layer="1203" to-port="2"/>
<edge from-layer="1182" from-port="0" to-layer="1203" to-port="3"/>
<edge from-layer="1183" from-port="0" to-layer="1203" to-port="4"/>
<edge from-layer="1204" from-port="0" to-layer="1205" to-port="0"/>
<edge from-layer="1205" from-port="1" to-layer="1207" to-port="0"/>
<edge from-layer="1206" from-port="0" to-layer="1207" to-port="1"/>
<edge from-layer="1207" from-port="2" to-layer="1209" to-port="0"/>
<edge from-layer="1208" from-port="0" to-layer="1209" to-port="1"/>
<edge from-layer="1203" from-port="5" to-layer="1210" to-port="0"/>
<edge from-layer="1209" from-port="2" to-layer="1210" to-port="1"/>
<edge from-layer="1179" from-port="2" to-layer="1211" to-port="0"/>
<edge from-layer="1210" from-port="2" to-layer="1211" to-port="1"/>
<edge from-layer="1146" from-port="5" to-layer="1211" to-port="2"/>
<edge from-layer="1211" from-port="3" to-layer="1213" to-port="0"/>
<edge from-layer="1212" from-port="0" to-layer="1213" to-port="1"/>
<edge from-layer="1071" from-port="2" to-layer="1214" to-port="0"/>
<edge from-layer="1142" from-port="2" to-layer="1214" to-port="1"/>
<edge from-layer="1213" from-port="2" to-layer="1214" to-port="2"/>
<edge from-layer="1214" from-port="3" to-layer="1215" 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\yolov5s_640x640_opt.onnx"/>
<input_model_is_text value="False"/>
<input_shape value="[1,3,640,640]"/>
<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="yolov5s_640x640_opt"/>
<output_dir value="DIR"/>
<placeholder_data_types value="{}"/>
<placeholder_shapes value="[ 1 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>{
'compression': {
'target_device': 'CPU',
'algorithms': [
{
'name': 'DefaultQuantization',
'params': {
'preset': 'mixed',
'stat_subset_size': 256
}
}
]
},
'engine': {
'type': 'simplified',
'data_source': 'PATH',
'device': 'CPU'
}
}</config>
<version value="1.0"/>
<cli_params value="{'quantize': None, 'preset': None, 'model': None, 'weights': None, 'name': None, 'ac_config': None, 'max_drop': None, 'evaluate': False, 'output_dir': 'PATH', 'direct_dump': False, 'log_level': 'INFO', 'pbar': True, 'stream_output': False, 'keep_uncompressed_weights': False}"/>
</quantization_parameters>
</net>
