model_api / models /YOLO-11-M.xml
mgumowsk's picture
cache
0a4402d
<?xml version="1.0"?>
<net name="Model0" version="11">
<layers>
<layer id="0" name="x" type="Parameter" version="opset1">
<data shape="1,?,?,3" element_type="u8" />
<output>
<port id="0" precision="U8" names="x">
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>3</dim>
<rt_info>
<attribute name="layout" version="0" layout="[N,H,W,C]" />
</rt_info>
</port>
</output>
</layer>
<layer id="1" name="__module.model.23/aten::unsqueeze/Unsqueeze" type="Const" version="opset1">
<data element_type="f32" shape="1, 2, 8400" offset="0" size="67200" />
<output>
<port id="0" precision="FP32" names="1541,anchor_points">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="2" name="shape" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="U8">
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="3" name="Constant_10555" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="4" name="Constant_10556" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="5" name="Gather_10557" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" />
</output>
</layer>
<layer id="6" name="Convert_10558" type="Convert" version="opset1">
<data destination_type="f32" />
<input>
<port id="0" precision="I64" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="7" name="Constant_10559" type="Const" version="opset1">
<data element_type="f32" shape="" offset="67216" size="4" />
<output>
<port id="0" precision="FP32" />
</output>
</layer>
<layer id="8" name="Constant_10551" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67220" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="9" name="Constant_10552" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="10" name="Gather_10553" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" />
</output>
</layer>
<layer id="11" name="Convert_10554" type="Convert" version="opset1">
<data destination_type="f32" />
<input>
<port id="0" precision="I64" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="12" name="Divide_10560" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="FP32" />
<port id="1" precision="FP32" />
</input>
<output>
<port id="2" precision="FP32" />
</output>
</layer>
<layer id="13" name="Constant_10561" type="Const" version="opset1">
<data element_type="f32" shape="" offset="67216" size="4" />
<output>
<port id="0" precision="FP32" />
</output>
</layer>
<layer id="14" name="Divide_10562" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="FP32" />
<port id="1" precision="FP32" />
</input>
<output>
<port id="2" precision="FP32" />
</output>
</layer>
<layer id="15" name="Minimum_10563" type="Minimum" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32" />
<port id="1" precision="FP32" />
</input>
<output>
<port id="2" precision="FP32" />
</output>
</layer>
<layer id="16" name="Multiply_10567" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32" />
<port id="1" precision="FP32" />
</input>
<output>
<port id="2" precision="FP32" />
</output>
</layer>
<layer id="17" name="Round_10568" type="Round" version="opset5">
<data mode="half_to_even" />
<input>
<port id="0" precision="FP32" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="18" name="Convert_10569" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="FP32" />
</input>
<output>
<port id="1" precision="I32" />
</output>
</layer>
<layer id="19" name="Constant_10570" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="20" name="Unsqueeze_10571" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="21" name="Multiply_10564" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32" />
<port id="1" precision="FP32" />
</input>
<output>
<port id="2" precision="FP32" />
</output>
</layer>
<layer id="22" name="Round_10565" type="Round" version="opset5">
<data mode="half_to_even" />
<input>
<port id="0" precision="FP32" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="23" name="Convert_10566" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="FP32" />
</input>
<output>
<port id="1" precision="I32" />
</output>
</layer>
<layer id="24" name="Constant_10572" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="25" name="Unsqueeze_10573" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="26" name="Concat_10574" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="27" name="Constant_10575" type="Const" version="opset1">
<data element_type="f32" shape="2" offset="67208" size="8" />
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="28" name="Constant_10576" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="67228" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="29" name="Interpolate_10577" type="Interpolate" version="opset4">
<data mode="linear" shape_calculation_mode="sizes" coordinate_transformation_mode="half_pixel" nearest_mode="round_prefer_floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="U8">
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>3</dim>
</port>
<port id="1" precision="I32">
<dim>2</dim>
</port>
<port id="2" precision="FP32">
<dim>2</dim>
</port>
<port id="3" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="4" precision="U8">
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="30" name="Constant_10808" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67244" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="31" name="Constant_10798" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67248" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="32" name="Subtract_10799" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="33" name="Constant_10800" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67252" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="34" name="Divide_10801" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="35" name="Constant_10809" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="36" name="Unsqueeze_10810" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="37" name="Constant_10794" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67248" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="38" name="Subtract_10795" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="39" name="Constant_10796" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67252" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="40" name="Divide_10797" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="41" name="Constant_10811" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="42" name="Unsqueeze_10812" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="43" name="Constant_10813" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67244" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="44" name="Concat_10814" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
<port id="2" precision="I32">
<dim>1</dim>
</port>
<port id="3" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="4" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="45" name="Constant_10815" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67244" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="46" name="Subtract_10807" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="47" name="Constant_10816" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="48" name="Unsqueeze_10817" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="49" name="Subtract_10804" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="50" name="Constant_10818" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67208" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="51" name="Unsqueeze_10819" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="52" name="Constant_10820" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67244" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="53" name="Concat_10821" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
<port id="2" precision="I32">
<dim>1</dim>
</port>
<port id="3" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="4" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="54" name="Constant_10822" type="Const" version="opset1">
<data element_type="u8" shape="" offset="67256" size="1" />
<output>
<port id="0" precision="U8" />
</output>
</layer>
<layer id="55" name="Pad_10823" type="Pad" version="opset1">
<data pad_mode="constant" />
<input>
<port id="0" precision="U8">
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>3</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
<port id="2" precision="I32">
<dim>4</dim>
</port>
<port id="3" precision="U8" />
</input>
<output>
<port id="4" precision="U8">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="56" name="ShapeOf_11256" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="U8">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="57" name="Constant_11257" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67257" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="58" name="Constant_11258" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67244" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="59" name="Gather_11259" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I32" />
<port id="2" precision="I32" />
</input>
<output>
<port id="3" precision="I64" />
</output>
</layer>
<layer id="60" name="Constant_11260" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67261" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="61" name="Add_11261" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" />
</output>
</layer>
<layer id="62" name="Constant_11262" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67261" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="63" name="Constant_11263" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67261" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="64" name="Range_11264" type="Range" version="opset4">
<data output_type="i32" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I32">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="65" name="Constant_11327" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67257" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="66" name="Gather_11328" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="U8">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="3" precision="U8">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="67" name="Convert_11329" type="Convert" version="opset1">
<data destination_type="f32" />
<input>
<port id="0" precision="U8">
<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>
</port>
</output>
</layer>
<layer id="68" name="Constant_12307" type="Const" version="opset1">
<data element_type="f32" shape="1" offset="67269" size="4" />
<rt_info>
<attribute name="preprocessing" version="0" />
</rt_info>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="69" name="Divide_11331" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<rt_info>
<attribute name="preprocessing" version="0" />
</rt_info>
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="70" name="Constant_11332" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="67273" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="71" name="Transpose_11333" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="72" name="self.model.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 3, 3, 3" offset="67305" size="6912" />
<output>
<port id="0" precision="FP32" names="self.model.0.conv.weight">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="73" name="__module.model.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="74" name="__module.model.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="74217" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="75" name="__module.model.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="93_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="76" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="93,input.1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="77" name="self.model.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 64, 3, 3" offset="74473" size="294912" />
<output>
<port id="0" precision="FP32" names="self.model.1.conv.weight">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="78" name="__module.model.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="79" name="__module.model.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="369385" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="80" name="__module.model.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="107_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="81" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_1" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="107,input.5">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="82" name="self.model.2.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="369897" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.2.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="83" name="__module.model.2.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="84" name="__module.model.2.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="435433" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="85" name="__module.model.2.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="125_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="86" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_2" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="125,input.9">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="87" name="113" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="113" />
</output>
</layer>
<layer id="88" name="Constant_216" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="435945" size="16" />
<output>
<port id="0" precision="I64" names="127">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="89" name="__module.model.2/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="129">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="130,input.11">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="90" name="self.model.2.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 64, 1, 1" offset="435961" size="8192" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.cv1.conv.weight">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="91" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="92" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="444153" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="93" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="142_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="94" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_3" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="142,input.13">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="95" name="self.model.2.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="444281" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.m.0.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="96" name="__module.model.2.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="97" name="__module.model.2.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="481145" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="98" name="__module.model.2.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="155_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="99" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_4" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="155,input.17">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="100" name="self.model.2.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="481273" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.m.0.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="101" name="__module.model.2.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="102" name="__module.model.2.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="518137" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="103" name="__module.model.2.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="164_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="104" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_5" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="164,input.21">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="105" name="__module.model.2.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="166,input.23">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="106" name="self.model.2.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="518265" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.m.1.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="107" name="__module.model.2.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="108" name="__module.model.2.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="555129" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="109" name="__module.model.2.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="176_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="110" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_6" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="176,input.25">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="111" name="self.model.2.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="555257" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.m.1.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="112" name="__module.model.2.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="113" name="__module.model.2.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="592121" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="114" name="__module.model.2.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="185_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="115" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_7" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="185,input.29">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="116" name="__module.model.2.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="187">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="117" name="self.model.2.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 64, 1, 1" offset="592249" size="8192" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.cv2.conv.weight">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="118" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="119" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="600441" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="120" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="195_1">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="121" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_8" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="195,input.31">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="122" name="__module.model.2.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="198,input.33">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="123" name="self.model.2.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="600569" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.cv3.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="124" name="__module.model.2.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="125" name="__module.model.2.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="616953" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="126" name="__module.model.2.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="206_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="127" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_9" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="206,input.35">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="128" name="__module.model.2/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="209,input.37">
<dim>-1</dim>
<dim>192</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="129" name="self.model.2.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 192, 1, 1" offset="617209" size="196608" />
<output>
<port id="0" precision="FP32" names="self.model.2.cv2.conv.weight">
<dim>256</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="130" name="__module.model.2.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>192</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="131" name="__module.model.2.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="813817" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="132" name="__module.model.2.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="217_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="133" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_10" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="217,input.39">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="134" name="self.model.3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 3, 3" offset="814841" size="2359296" />
<output>
<port id="0" precision="FP32" names="self.model.3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="135" name="__module.model.3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="136" name="__module.model.3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="3174137" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="137" name="__module.model.3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="231_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="138" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_11" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="231,input.43">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="139" name="self.model.4.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="3175161" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.4.cv1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="140" name="__module.model.4.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="141" name="__module.model.4.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="3437305" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="142" name="__module.model.4.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="249_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="143" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_12" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="249,input.47">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="144" name="237" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="237" />
</output>
</layer>
<layer id="145" name="Constant_717" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="3438329" size="16" />
<output>
<port id="0" precision="I64" names="251">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="146" name="__module.model.4/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="253">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="254,input.49">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="147" name="self.model.4.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="3438345" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="148" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="149" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="3471113" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="150" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="266_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="151" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_13" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="266,input.51">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="152" name="self.model.4.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="3471369" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="153" name="__module.model.4.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="154" name="__module.model.4.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="3618825" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="155" name="__module.model.4.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="279_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="156" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_14" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="279,input.55">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="157" name="self.model.4.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="3619081" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="158" name="__module.model.4.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="159" name="__module.model.4.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="3766537" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="160" name="__module.model.4.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="288_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="161" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_15" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="288,input.59">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="162" name="__module.model.4.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="290,input.61">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="163" name="self.model.4.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="3766793" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.m.1.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="164" name="__module.model.4.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="165" name="__module.model.4.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="3914249" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="166" name="__module.model.4.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="300_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="167" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_16" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="300,input.63">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="168" name="self.model.4.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="3914505" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.m.1.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="169" name="__module.model.4.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="170" name="__module.model.4.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="4061961" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="171" name="__module.model.4.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="309_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="172" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_17" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="309,input.67">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="173" name="__module.model.4.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="311">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="174" name="self.model.4.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="4062217" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="175" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="176" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="4094985" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="177" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="319_1">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="178" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_18" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="319,input.69">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="179" name="__module.model.4.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="322,input.71">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="180" name="self.model.4.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="4095241" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.cv3.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="181" name="__module.model.4.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="182" name="__module.model.4.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="4160777" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="183" name="__module.model.4.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="330_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="184" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_19" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="330,input.73">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="185" name="__module.model.4/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="333,input.75">
<dim>-1</dim>
<dim>384</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="186" name="self.model.4.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 384, 1, 1" offset="4161289" size="786432" />
<output>
<port id="0" precision="FP32" names="self.model.4.cv2.conv.weight">
<dim>512</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="187" name="__module.model.4.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>384</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="188" name="__module.model.4.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="4947721" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="189" name="__module.model.4.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="341_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="190" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_20" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="341,input.77">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="191" name="self.model.5.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 3, 3" offset="4949769" size="9437184" />
<output>
<port id="0" precision="FP32" names="self.model.5.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="192" name="__module.model.5.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="193" name="__module.model.5.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="14386953" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="194" name="__module.model.5.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="355_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="195" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_21" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="355,input.81">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="196" name="self.model.6.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 1, 1" offset="14389001" size="1048576" />
<output>
<port id="0" precision="FP32" names="self.model.6.cv1.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="197" name="__module.model.6.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="198" name="__module.model.6.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="15437577" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="199" name="__module.model.6.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="373_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="200" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_22" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="373,input.85">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="201" name="361" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="361" />
</output>
</layer>
<layer id="202" name="Constant_1218" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="375">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="203" name="__module.model.6/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="377">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="378,input.87">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="204" name="self.model.6.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="15439641" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="205" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="206" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="15570713" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="207" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="390_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="208" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_23" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="390,input.89">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="209" name="self.model.6.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="15571225" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="210" name="__module.model.6.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="211" name="__module.model.6.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="16161049" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="212" name="__module.model.6.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="403_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="213" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_24" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="403,input.93">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="214" name="self.model.6.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="16161561" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="215" name="__module.model.6.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="216" name="__module.model.6.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="16751385" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="217" name="__module.model.6.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="412_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="218" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_25" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="412,input.97">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="219" name="__module.model.6.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="414,input.99">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="220" name="self.model.6.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="16751897" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="221" name="__module.model.6.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="222" name="__module.model.6.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="17341721" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="223" name="__module.model.6.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="424_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="224" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_26" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="424,input.101">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="225" name="self.model.6.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="17342233" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="226" name="__module.model.6.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="227" name="__module.model.6.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="17932057" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="228" name="__module.model.6.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="433_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="229" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_27" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="433,input.105">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="230" name="__module.model.6.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="435">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="231" name="self.model.6.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="17932569" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="232" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="233" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="18063641" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="234" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="443_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="235" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_28" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="443,input.107">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="236" name="__module.model.6.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="446,input.109">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="237" name="self.model.6.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="18064153" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="238" name="__module.model.6.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="239" name="__module.model.6.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="18326297" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="240" name="__module.model.6.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="454_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="241" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_29" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="454,input.111">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="242" name="__module.model.6/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="457,input.113">
<dim>-1</dim>
<dim>768</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="243" name="self.model.6.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="18327321" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.6.cv2.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="244" name="__module.model.6.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="245" name="__module.model.6.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="19900185" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="246" name="__module.model.6.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="465_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="247" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_30" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="465,input.115">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="248" name="self.model.7.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 3, 3" offset="19902233" size="9437184" />
<output>
<port id="0" precision="FP32" names="self.model.7.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="249" name="__module.model.7.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="250" name="__module.model.7.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="29339417" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="251" name="__module.model.7.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="479_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="252" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_31" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="479,input.119">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="253" name="self.model.8.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 1, 1" offset="29341465" size="1048576" />
<output>
<port id="0" precision="FP32" names="self.model.8.cv1.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="254" name="__module.model.8.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="255" name="__module.model.8.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="30390041" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="256" name="__module.model.8.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="497_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="257" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_32" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="497,input.123">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="258" name="485" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="485" />
</output>
</layer>
<layer id="259" name="Constant_1719" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="499">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="260" name="__module.model.8/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="501">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="502,input.125">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="261" name="self.model.8.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="30392089" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="262" name="__module.model.8.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="263" name="__module.model.8.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="30523161" size="512" />
<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="__module.model.8.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="514_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="265" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_33" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="514,input.127">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="266" name="self.model.8.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="30523673" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="267" name="__module.model.8.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="268" name="__module.model.8.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="31113497" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="269" name="__module.model.8.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="527_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="270" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_34" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="527,input.131">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="271" name="self.model.8.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="31114009" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="272" name="__module.model.8.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="273" name="__module.model.8.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="31703833" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="274" name="__module.model.8.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="536_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="275" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_35" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="536,input.135">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="276" name="__module.model.8.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="538,input.137">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="277" name="self.model.8.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="31704345" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="278" name="__module.model.8.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="279" name="__module.model.8.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="32294169" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="280" name="__module.model.8.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="548_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="281" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_36" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="548,input.139">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="282" name="self.model.8.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="32294681" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="283" name="__module.model.8.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="284" name="__module.model.8.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="32884505" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="285" name="__module.model.8.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="557_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="286" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_37" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="557,input.143">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="287" name="__module.model.8.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="559">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="288" name="self.model.8.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="32885017" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="289" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="290" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="33016089" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="291" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="567_1">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="292" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_38" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="567,input.145">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="293" name="__module.model.8.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="570,input.147">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="294" name="self.model.8.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="33016601" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="295" name="__module.model.8.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="296" name="__module.model.8.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="33278745" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="297" name="__module.model.8.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="578_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="298" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_39" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="578,input.149">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="299" name="__module.model.8/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="581,input.151">
<dim>-1</dim>
<dim>768</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="300" name="self.model.8.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="33279769" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.8.cv2.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="301" name="__module.model.8.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="302" name="__module.model.8.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="34852633" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="303" name="__module.model.8.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="589_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="304" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_40" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="589,input.153">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="305" name="self.model.9.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 512, 1, 1" offset="34854681" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.9.cv1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="306" name="__module.model.9.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="307" name="__module.model.9.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="35378969" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="308" name="__module.model.9.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="607_1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="309" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_41" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="607,input.157">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="310" name="__module.model.9.m/aten::max_pool2d/MaxPool" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="613,input.161">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="311" name="__module.model.9.m/aten::max_pool2d/MaxPool_1" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="618,input.163">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="312" name="__module.model.9.m/aten::max_pool2d/MaxPool_2" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="623">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="313" name="__module.model.9/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="3" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="625,input.165">
<dim>-1</dim>
<dim>1024</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="314" name="self.model.9.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 1024, 1, 1" offset="35379993" size="2097152" />
<output>
<port id="0" precision="FP32" names="self.model.9.cv2.conv.weight">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="315" name="__module.model.9.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="316" name="__module.model.9.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="37477145" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="317" name="__module.model.9.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="633_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="318" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_42" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="633,input.167">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="319" name="self.model.10.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 1, 1" offset="37479193" size="1048576" />
<output>
<port id="0" precision="FP32" names="self.model.10.cv1.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="320" name="__module.model.10.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<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>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="321" name="__module.model.10.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="38527769" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="322" name="__module.model.10.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="660_1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="323" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_43" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="660,input.171">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="324" name="649" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="649" />
</output>
</layer>
<layer id="325" name="Constant_2354" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="662">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="326" name="__module.model.10/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="664,a.1">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="665,x.3">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="327" name="self.model.10.m.0.attn.qkv.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 256, 1, 1" offset="38529817" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.10.m.0.attn.qkv.conv.weight">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="328" name="__module.model.10.m.0.attn.qkv.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="329" name="__module.model.10.m.0.attn.qkv.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="39054105" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="330" name="__module.model.10.m.0.attn.qkv.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="687,qkv.1">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="331" name="Constant_2440" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="39056153" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="332" name="__module.model.10.m.0.attn/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="689">
<dim>1</dim>
<dim>4</dim>
<dim>128</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="333" name="635" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67220" size="8" />
<output>
<port id="0" precision="I64" names="635" />
</output>
</layer>
<layer id="334" name="Constant_2447" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="39056185" size="24" />
<output>
<port id="0" precision="I64" names="690">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="335" name="__module.model.10.m.0.attn/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>128</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="692,q">
<dim>1</dim>
<dim>4</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="4" precision="FP32" names="693,k">
<dim>1</dim>
<dim>4</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="5" precision="FP32" names="694,v">
<dim>1</dim>
<dim>4</dim>
<dim>64</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="336" name="__module.model.10.m.0.attn/aten::matmul/MatMul" type="MatMul" version="opset1">
<data transpose_a="true" transpose_b="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>32</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="696">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="337" name="Constant_14195" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="39056209" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="338" name="__module.model.10.m.0.attn/aten::mul/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="697,attn.1">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="339" name="__module.model.10.m.0.attn/aten::softmax/Softmax" type="SoftMax" version="opset8">
<data axis="-1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="698,attn.3">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="340" name="__module.model.10.m.0.attn/aten::matmul/MatMul_1" type="MatMul" version="opset1">
<data transpose_a="false" transpose_b="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="700">
<dim>1</dim>
<dim>4</dim>
<dim>64</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="341" name="Constant_2617" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="39056213" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="342" name="__module.model.10.m.0.attn/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="702">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="343" name="Constant_2631" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="39056213" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="344" name="__module.model.10.m.0.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="704,input.173">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="345" name="__module.model.10.m.0.attn.pe.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="39056245" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="346" name="__module.model.10.m.0.attn.pe.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</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="347" name="__module.model.10.m.0.attn.pe.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="39065461" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="348" name="__module.model.10.m.0.attn.pe.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="712">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="349" name="__module.model.10.m.0.attn/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="713,input.175">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="350" name="self.model.10.m.0.attn.proj.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="39066485" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.10.m.0.attn.proj.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="351" name="__module.model.10.m.0.attn.proj.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="352" name="__module.model.10.m.0.attn.proj.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="39328629" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="353" name="__module.model.10.m.0.attn.proj.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="721">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="354" name="__module.model.10.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="722,input.177">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="355" name="self.model.10.m.0.ffn.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 256, 1, 1" offset="39329653" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.10.m.0.ffn.0.conv.weight">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="356" name="__module.model.10.m.0.ffn.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</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="357" name="__module.model.10.m.0.ffn.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="39853941" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="358" name="__module.model.10.m.0.ffn.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="732_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="359" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_44" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="732,input.179">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="360" name="self.model.10.m.0.ffn.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 512, 1, 1" offset="39855989" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.10.m.0.ffn.1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="361" name="__module.model.10.m.0.ffn.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="362" name="__module.model.10.m.0.ffn.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="40380277" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="363" name="__module.model.10.m.0.ffn.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="742">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="364" name="__module.model.10.m.0/aten::add/Add_1" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="743,b.1">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="365" name="__module.model.10/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="745,input.183">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="366" name="self.model.10.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 1, 1" offset="40381301" size="1048576" />
<output>
<port id="0" precision="FP32" names="self.model.10.cv2.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="367" name="__module.model.10.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="368" name="__module.model.10.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="41429877" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="369" name="__module.model.10.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="753_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="370" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_45" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="753,input.185">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="371" name="__module.model.11/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
<data element_type="f32" shape="2" offset="41431925" size="8" />
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="372" name="Constant_2942" type="Const" version="opset1">
<data element_type="i32" shape="2" offset="41431933" size="8" />
<output>
<port id="0" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="373" name="__module.model.11/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="758">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="374" name="__module.model.12/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="761,input.189">
<dim>-1</dim>
<dim>1024</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="375" name="self.model.13.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 1024, 1, 1" offset="41431941" size="2097152" />
<output>
<port id="0" precision="FP32" names="self.model.13.cv1.conv.weight">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="376" name="__module.model.13.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="377" name="__module.model.13.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="43529093" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="378" name="__module.model.13.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="778_1">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="379" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_46" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="778,input.191">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="380" name="766" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="766" />
</output>
</layer>
<layer id="381" name="Constant_3016" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="780">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="382" name="__module.model.13/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="782">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="4" precision="FP32" names="783,input.193">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="383" name="self.model.13.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="43531141" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="384" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="385" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="43662213" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="386" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="795_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="387" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_47" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="795,input.195">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="388" name="self.model.13.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="43662725" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="389" name="__module.model.13.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="390" name="__module.model.13.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="44252549" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="391" name="__module.model.13.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="808_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="392" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_48" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="808,input.199">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="393" name="self.model.13.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="44253061" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="394" name="__module.model.13.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="395" name="__module.model.13.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="44842885" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="396" name="__module.model.13.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="817_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="397" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_49" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="817,input.203">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="398" name="__module.model.13.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="819,input.205">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="399" name="self.model.13.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="44843397" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="400" name="__module.model.13.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="401" name="__module.model.13.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="45433221" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="402" name="__module.model.13.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="829_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="403" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_50" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="829,input.207">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="404" name="self.model.13.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="45433733" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="405" name="__module.model.13.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="406" name="__module.model.13.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="46023557" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="407" name="__module.model.13.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="838_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="408" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_51" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="838,input.211">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="409" name="__module.model.13.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="840">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="410" name="self.model.13.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="46024069" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="411" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="412" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="46155141" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="413" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="848_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="414" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_52" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="848,input.213">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="415" name="__module.model.13.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="851,input.215">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="416" name="self.model.13.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="46155653" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="417" name="__module.model.13.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="418" name="__module.model.13.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="46417797" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="419" name="__module.model.13.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="859_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="420" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_53" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="859,input.217">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="421" name="__module.model.13/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="862,input.219">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="422" name="self.model.13.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="46418821" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.13.cv2.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="423" name="__module.model.13.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="424" name="__module.model.13.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="47991685" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="425" name="__module.model.13.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="870_1">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="426" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_54" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="870,input.221">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="427" name="__module.model.14/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
<data element_type="f32" shape="2" offset="41431925" size="8" />
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="428" name="Constant_3416" type="Const" version="opset1">
<data element_type="i32" shape="2" offset="41431933" size="8" />
<output>
<port id="0" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="429" name="__module.model.14/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="875">
<dim>-1</dim>
<dim>512</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="430" name="__module.model.15/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="878,input.225">
<dim>-1</dim>
<dim>1024</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="431" name="self.model.16.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 1024, 1, 1" offset="47993733" size="1048576" />
<output>
<port id="0" precision="FP32" names="self.model.16.cv1.conv.weight">
<dim>256</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="432" name="__module.model.16.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="433" name="__module.model.16.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="49042309" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="434" name="__module.model.16.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="895_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="435" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_55" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="895,input.227">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="436" name="883" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="883" />
</output>
</layer>
<layer id="437" name="Constant_3490" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="3438329" size="16" />
<output>
<port id="0" precision="I64" names="897">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="438" name="__module.model.16/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="899">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="4" precision="FP32" names="900,input.229">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="439" name="self.model.16.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="49043333" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="440" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="441" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49076101" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="442" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="912_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="443" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_56" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="912,input.231">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="444" name="self.model.16.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="49076357" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="445" name="__module.model.16.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="446" name="__module.model.16.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49223813" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="447" name="__module.model.16.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="925_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="448" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_57" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="925,input.235">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="449" name="self.model.16.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="49224069" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="450" name="__module.model.16.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="451" name="__module.model.16.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49371525" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="452" name="__module.model.16.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="934_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="453" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_58" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="934,input.239">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="454" name="__module.model.16.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="936,input.241">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="455" name="self.model.16.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="49371781" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.m.1.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="456" name="__module.model.16.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="457" name="__module.model.16.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49519237" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="458" name="__module.model.16.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="946_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="459" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_59" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="946,input.243">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="460" name="self.model.16.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="49519493" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.m.1.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="461" name="__module.model.16.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="462" name="__module.model.16.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49666949" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="463" name="__module.model.16.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="955_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="464" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_60" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="955,input.247">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="465" name="__module.model.16.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="957">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="466" name="self.model.16.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="49667205" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="467" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="468" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="49699973" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="469" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="965_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="470" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_61" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="965,input.249">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="471" name="__module.model.16.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="968,input.251">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="472" name="self.model.16.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="49700229" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.cv3.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="473" name="__module.model.16.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="474" name="__module.model.16.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="49765765" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="475" name="__module.model.16.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="976_1">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="476" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_62" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="976,input.253">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="477" name="__module.model.16/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="979,input.255">
<dim>-1</dim>
<dim>384</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="478" name="self.model.16.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 384, 1, 1" offset="49766277" size="393216" />
<output>
<port id="0" precision="FP32" names="self.model.16.cv2.conv.weight">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="479" name="__module.model.16.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>384</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="480" name="__module.model.16.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="50159493" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="481" name="__module.model.16.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="987_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="482" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_63" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="987,input.257">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="483" name="self.model.23.cv2.0.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 256, 3, 3" offset="50160517" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.0.0.conv.weight">
<dim>64</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="484" name="__module.model.23.cv2.0.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>256</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="485" name="__module.model.23.cv2.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="50750341" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="486" name="__module.model.23.cv2.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1283_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="487" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_64" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1283,input.335">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="488" name="self.model.23.cv2.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="50750597" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.0.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="489" name="__module.model.23.cv2.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="490" name="__module.model.23.cv2.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="50898053" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="491" name="__module.model.23.cv2.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1292_1">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="492" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_65" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1292,input.339">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="493" name="self.model.23.cv2.0.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="50898309" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.0.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="494" name="__module.model.23.cv2.0.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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="495" name="__module.model.23.cv2.0.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="50914693" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="496" name="__module.model.23.cv2.0.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1300">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="497" name="__module.model.23.cv3.0.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="50914949" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="498" name="__module.model.23.cv3.0.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="499" name="__module.model.23.cv3.0.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="50924165" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="500" name="__module.model.23.cv3.0.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1313_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="501" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_66" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1313,input.343">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="502" name="self.model.23.cv3.0.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="50925189" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.0.0.1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="503" name="__module.model.23.cv3.0.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="504" name="__module.model.23.cv3.0.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="51187333" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="505" name="__module.model.23.cv3.0.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1322_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="506" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_67" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1322,input.347">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="507" name="__module.model.23.cv3.0.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="51188357" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="508" name="__module.model.23.cv3.0.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="509" name="__module.model.23.cv3.0.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="51197573" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="510" name="__module.model.23.cv3.0.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1333_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="511" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_68" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1333,input.351">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="512" name="self.model.23.cv3.0.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="51198597" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.0.1.1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="513" name="__module.model.23.cv3.0.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="514" name="__module.model.23.cv3.0.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="51460741" size="1024" />
<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="__module.model.23.cv3.0.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1342_1">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="516" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_69" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1342,input.355">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="517" name="self.model.23.cv3.0.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="80, 256, 1, 1" offset="51461765" size="81920" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.0.2.weight">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="518" name="__module.model.23.cv3.0.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="519" name="__module.model.23.cv3.0.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 80, 1, 1" offset="51543685" size="320" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="520" name="__module.model.23.cv3.0.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1350">
<dim>-1</dim>
<dim>80</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="521" name="__module.model.23/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1352,xi.1">
<dim>-1</dim>
<dim>144</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="522" name="Constant_6380" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="51544005" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="523" name="__module.model.23/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>144</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1515">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="524" name="self.model.17.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 3, 3" offset="51544029" size="2359296" />
<output>
<port id="0" precision="FP32" names="self.model.17.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="525" name="__module.model.17.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<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>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="526" name="__module.model.17.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="53903325" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="527" name="__module.model.17.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1001_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="528" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_70" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1001,input.261">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="529" name="__module.model.18/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1005,input.263">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="530" name="self.model.19.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="53904349" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.19.cv1.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="531" name="__module.model.19.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="532" name="__module.model.19.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="55477213" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="533" name="__module.model.19.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1022_1">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="534" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_71" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1022,input.265">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="535" name="1010" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="1010" />
</output>
</layer>
<layer id="536" name="Constant_3996" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="1024">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="537" name="__module.model.19/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1026">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="4" precision="FP32" names="1027,input.267">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="538" name="self.model.19.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="55479261" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="539" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="540" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="55610333" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="541" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1039_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="542" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_72" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1039,input.269">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="543" name="self.model.19.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="55610845" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="544" name="__module.model.19.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="545" name="__module.model.19.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="56200669" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="546" name="__module.model.19.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1052_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="547" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_73" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1052,input.273">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="548" name="self.model.19.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="56201181" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="549" name="__module.model.19.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="550" name="__module.model.19.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="56791005" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="551" name="__module.model.19.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1061_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="552" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_74" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1061,input.277">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="553" name="__module.model.19.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1063,input.279">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="554" name="self.model.19.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="56791517" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="555" name="__module.model.19.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="556" name="__module.model.19.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="57381341" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="557" name="__module.model.19.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1073_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="558" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_75" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1073,input.281">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="559" name="self.model.19.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="57381853" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="560" name="__module.model.19.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="561" name="__module.model.19.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="57971677" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="562" name="__module.model.19.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1082_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="563" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_76" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1082,input.285">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="564" name="__module.model.19.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1084">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="565" name="self.model.19.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="57972189" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="566" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="567" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="58103261" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="568" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1092_1">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="569" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_77" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1092,input.287">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="570" name="__module.model.19.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1095,input.289">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="571" name="self.model.19.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="58103773" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="572" name="__module.model.19.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="573" name="__module.model.19.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="58365917" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="574" name="__module.model.19.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1103_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="575" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_78" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1103,input.291">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="576" name="__module.model.19/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1106,input.293">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="577" name="self.model.19.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="58366941" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.19.cv2.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="578" name="__module.model.19.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="579" name="__module.model.19.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="59939805" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="580" name="__module.model.19.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1114_1">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="581" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_79" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1114,input.295">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="582" name="self.model.23.cv2.1.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 512, 3, 3" offset="59941853" size="1179648" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.1.0.conv.weight">
<dim>64</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="583" name="__module.model.23.cv2.1.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="584" name="__module.model.23.cv2.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="61121501" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="585" name="__module.model.23.cv2.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1363_1">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="586" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_80" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1363,input.359">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="587" name="self.model.23.cv2.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="61121757" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.1.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="588" name="__module.model.23.cv2.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="589" name="__module.model.23.cv2.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="61269213" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="590" name="__module.model.23.cv2.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1372_1">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="591" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_81" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1372,input.363">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="592" name="self.model.23.cv2.1.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="61269469" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.1.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="593" name="__module.model.23.cv2.1.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="594" name="__module.model.23.cv2.1.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="61285853" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="595" name="__module.model.23.cv2.1.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1380">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="596" name="__module.model.23.cv3.1.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="512, 1, 1, 3, 3" offset="61286109" size="18432" />
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="597" name="__module.model.23.cv3.1.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="598" name="__module.model.23.cv3.1.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="61304541" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="599" name="__module.model.23.cv3.1.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1393_1">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="600" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_82" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1393,input.367">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="601" name="self.model.23.cv3.1.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 512, 1, 1" offset="61306589" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.1.0.1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="602" name="__module.model.23.cv3.1.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="603" name="__module.model.23.cv3.1.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="61830877" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="604" name="__module.model.23.cv3.1.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1402_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="605" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_83" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1402,input.371">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="606" name="__module.model.23.cv3.1.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="61831901" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="607" name="__module.model.23.cv3.1.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</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="608" name="__module.model.23.cv3.1.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="61841117" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="609" name="__module.model.23.cv3.1.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1413_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="610" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_84" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1413,input.375">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="611" name="self.model.23.cv3.1.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="61842141" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.1.1.1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="612" name="__module.model.23.cv3.1.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<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="613" name="__module.model.23.cv3.1.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="62104285" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="614" name="__module.model.23.cv3.1.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1422_1">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="615" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_85" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1422,input.379">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="616" name="self.model.23.cv3.1.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="80, 256, 1, 1" offset="62105309" size="81920" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.1.2.weight">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="617" name="__module.model.23.cv3.1.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="618" name="__module.model.23.cv3.1.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 80, 1, 1" offset="62187229" size="320" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="619" name="__module.model.23.cv3.1.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1430">
<dim>-1</dim>
<dim>80</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="620" name="__module.model.23/aten::cat/Concat_1" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1432,xi.3">
<dim>-1</dim>
<dim>144</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="621" name="Constant_6392" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="51544005" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="622" name="__module.model.23/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>144</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1517">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="623" name="self.model.20.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 512, 3, 3" offset="62187549" size="9437184" />
<output>
<port id="0" precision="FP32" names="self.model.20.conv.weight">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="624" name="__module.model.20.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</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="625" name="__module.model.20.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="71624733" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="626" name="__module.model.20.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1128_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="627" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_86" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1128,input.299">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="628" name="__module.model.21/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1132,input.301">
<dim>-1</dim>
<dim>1024</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="629" name="self.model.22.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 1024, 1, 1" offset="71626781" size="2097152" />
<output>
<port id="0" precision="FP32" names="self.model.22.cv1.conv.weight">
<dim>512</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="630" name="__module.model.22.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="631" name="__module.model.22.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="73723933" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="632" name="__module.model.22.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1149_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="633" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_87" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1149,input.303">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="634" name="1137" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="1137" />
</output>
</layer>
<layer id="635" name="Constant_4502" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="15439625" size="16" />
<output>
<port id="0" precision="I64" names="1151">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="636" name="__module.model.22/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1153">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="4" precision="FP32" names="1154,input.305">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="637" name="self.model.22.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="73725981" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="638" name="__module.model.22.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="639" name="__module.model.22.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="73857053" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="640" name="__module.model.22.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1166_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="641" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_88" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1166,input.307">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="642" name="self.model.22.m.0.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="73857565" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="643" name="__module.model.22.m.0.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="644" name="__module.model.22.m.0.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="74447389" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="645" name="__module.model.22.m.0.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1179_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="646" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_89" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1179,input.311">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="647" name="self.model.22.m.0.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="74447901" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="648" name="__module.model.22.m.0.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="649" name="__module.model.22.m.0.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="75037725" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="650" name="__module.model.22.m.0.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1188_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="651" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_90" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1188,input.315">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="652" name="__module.model.22.m.0.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1190,input.317">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="653" name="self.model.22.m.0.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="75038237" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.m.1.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="654" name="__module.model.22.m.0.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="655" name="__module.model.22.m.0.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="75628061" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="656" name="__module.model.22.m.0.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1200_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="657" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_91" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1200,input.319">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="658" name="self.model.22.m.0.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="75628573" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.m.1.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="659" name="__module.model.22.m.0.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="660" name="__module.model.22.m.0.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="76218397" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="661" name="__module.model.22.m.0.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1209_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="662" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_92" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1209,input.323">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="663" name="__module.model.22.m.0.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1211">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="664" name="self.model.22.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="76218909" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="665" name="__module.model.22.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="666" name="__module.model.22.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="76349981" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="667" name="__module.model.22.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1219_1">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="668" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_93" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1219,input.325">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="669" name="__module.model.22.m.0/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1222,input.327">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="670" name="self.model.22.m.0.cv3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="76350493" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.cv3.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="671" name="__module.model.22.m.0.cv3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="672" name="__module.model.22.m.0.cv3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="76612637" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="673" name="__module.model.22.m.0.cv3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1230_1">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="674" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_94" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1230,input.329">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="675" name="__module.model.22/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1233,input.331">
<dim>-1</dim>
<dim>768</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="676" name="self.model.22.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 768, 1, 1" offset="76613661" size="1572864" />
<output>
<port id="0" precision="FP32" names="self.model.22.cv2.conv.weight">
<dim>512</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="677" name="__module.model.22.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>768</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>768</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="678" name="__module.model.22.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="78186525" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="679" name="__module.model.22.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1241_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="680" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_95" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1241,input.333">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="681" name="self.model.23.cv2.2.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 512, 3, 3" offset="78188573" size="1179648" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.2.0.conv.weight">
<dim>64</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="682" name="__module.model.23.cv2.2.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="683" name="__module.model.23.cv2.2.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="79368221" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="684" name="__module.model.23.cv2.2.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1443_1">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="685" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_96" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1443,input.385">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="686" name="self.model.23.cv2.2.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="79368477" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.2.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="687" name="__module.model.23.cv2.2.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="688" name="__module.model.23.cv2.2.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="79515933" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="689" name="__module.model.23.cv2.2.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1452_1">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="690" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_97" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1452,input.389">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="691" name="self.model.23.cv2.2.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="79516189" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv2.2.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="692" name="__module.model.23.cv2.2.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="693" name="__module.model.23.cv2.2.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="79532573" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="694" name="__module.model.23.cv2.2.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1460">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="695" name="__module.model.23.cv3.2.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="512, 1, 1, 3, 3" offset="79532829" size="18432" />
<output>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="696" name="__module.model.23.cv3.2.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>1</dim>
<dim>1</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="697" name="__module.model.23.cv3.2.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 512, 1, 1" offset="79551261" size="2048" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="698" name="__module.model.23.cv3.2.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1473_1">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="699" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_98" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1473,input.393">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="700" name="self.model.23.cv3.2.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 512, 1, 1" offset="79553309" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.2.0.1.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="701" name="__module.model.23.cv3.2.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="702" name="__module.model.23.cv3.2.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="80077597" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="703" name="__module.model.23.cv3.2.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1482_1">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="704" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_99" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1482,input.397">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="705" name="__module.model.23.cv3.2.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="80078621" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="706" name="__module.model.23.cv3.2.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</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="707" name="__module.model.23.cv3.2.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="80087837" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="708" name="__module.model.23.cv3.2.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1493_1">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="709" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_100" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1493,input.401">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="710" name="self.model.23.cv3.2.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="80088861" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.2.1.1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="711" name="__module.model.23.cv3.2.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<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="712" name="__module.model.23.cv3.2.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="80351005" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="713" name="__module.model.23.cv3.2.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1502_1">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="714" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_101" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1502,input.405">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="715" name="self.model.23.cv3.2.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="80, 256, 1, 1" offset="80352029" size="81920" />
<output>
<port id="0" precision="FP32" names="self.model.23.cv3.2.2.weight">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="716" name="__module.model.23.cv3.2.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>80</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="717" name="__module.model.23.cv3.2.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 80, 1, 1" offset="80433949" size="320" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="718" name="__module.model.23.cv3.2.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1510">
<dim>-1</dim>
<dim>80</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="719" name="__module.model.23/aten::cat/Concat_2" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>80</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1512,xi">
<dim>-1</dim>
<dim>144</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="720" name="Constant_6404" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="51544005" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="721" name="__module.model.23/aten::view/Reshape_2" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>144</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1519">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="722" name="__module.model.23/aten::cat/Concat_3" type="Concat" version="opset1">
<data axis="2" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1521">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="723" name="1256" type="Const" version="opset1">
<data element_type="i64" shape="" offset="67200" size="8" />
<output>
<port id="0" precision="I64" names="1256" />
</output>
</layer>
<layer id="724" name="Constant_6414" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="80434269" size="16" />
<output>
<port id="0" precision="I64" names="1522">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="725" name="__module.model.23/aten::split_with_sizes/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>144</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1524,x_1">
<dim>1</dim>
<dim>64</dim>
<dim>-1</dim>
</port>
<port id="4" precision="FP32" names="1525,cls">
<dim>1</dim>
<dim>80</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="726" name="Constant_6436" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="80434285" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="727" name="__module.model.23.dfl/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1530">
<dim>1</dim>
<dim>4</dim>
<dim>16</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="728" name="__module.model.23.dfl/aten::transpose/Constant" type="Const" version="opset1">
<data element_type="i32" shape="4" offset="80434317" size="16" />
<output>
<port id="0" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="729" name="__module.model.23.dfl/aten::transpose/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>16</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1531">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="730" name="__module.model.23.dfl/aten::softmax/Softmax" type="SoftMax" version="opset8">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1532,input">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="731" name="self.model.23.dfl.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="1, 16, 1, 1" offset="80434333" size="64" />
<output>
<port id="0" precision="FP32" names="self.model.23.dfl.conv.weight">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="732" name="__module.model.23.dfl.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1538">
<dim>1</dim>
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="733" name="Constant_6504" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="80434397" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="734" name="__module.model.23.dfl/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1540,distance">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="735" name="__module.model.23/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i32" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="736" name="Constant_7855" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="67244" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="737" name="__module.model.23/prim::ListUnpack/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I32">
<dim>3</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="3" precision="I32" />
</output>
</layer>
<layer id="738" name="__module.model.23/prim::ListUnpack/Convert" type="Const" version="opset1">
<data element_type="i32" shape="" offset="67252" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="739" name="__module.model.23/prim::ListUnpack/Divide" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="740" name="__module.model.23/prim::ListUnpack/Mod" type="Mod" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="741" name="__module.model.23/prim::ListUnpack/Greater" type="Greater" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="BOOL">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="742" name="__module.model.23/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="BOOL">
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="743" name="__module.model.23/prim::ListUnpack/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="744" name="Constant_7856" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="80434421" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="745" name="__module.model.23/prim::ListUnpack/Concat" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="746" name="__module.model.23/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1543,lt">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="4" precision="FP32" names="1544,rb">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="747" name="__module.model.23/aten::sub/Subtract" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1545,x1y1">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="748" name="__module.model.23/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1546,x2y2">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="749" name="__module.model.23/aten::add/Add_1" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1547">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="750" name="Constant_12311" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1" offset="80434425" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="751" name="__module.model.23/aten::div/Divide" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1548,c_xy">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="752" name="__module.model.23/aten::sub/Subtract_1" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1549,wh">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="753" name="__module.model.23/aten::cat/Concat_4" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1551">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="754" name="Constant_14197" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 8400" offset="80434429" size="33600" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="755" name="__module.model.23/aten::mul/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1552,dbox">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="756" name="__module.model.23/aten::sigmoid/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1553">
<dim>1</dim>
<dim>80</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="757" name="__module.model.23/aten::cat/Concat_5" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>80</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="758" name="Result_6557" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>8400</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="0" from-port="0" to-layer="29" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="748" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="747" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="5" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="10" to-port="0" />
<edge from-layer="3" from-port="0" to-layer="5" to-port="1" />
<edge from-layer="4" from-port="0" to-layer="5" to-port="2" />
<edge from-layer="5" from-port="3" to-layer="6" to-port="0" />
<edge from-layer="6" from-port="1" to-layer="16" to-port="0" />
<edge from-layer="6" from-port="1" to-layer="14" to-port="1" />
<edge from-layer="7" from-port="0" to-layer="12" to-port="0" />
<edge from-layer="8" from-port="0" to-layer="10" to-port="1" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="2" />
<edge from-layer="10" from-port="3" to-layer="11" to-port="0" />
<edge from-layer="11" from-port="1" to-layer="21" to-port="0" />
<edge from-layer="11" from-port="1" to-layer="12" to-port="1" />
<edge from-layer="12" from-port="2" to-layer="15" to-port="0" />
<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
<edge from-layer="14" from-port="2" to-layer="15" to-port="1" />
<edge from-layer="15" from-port="2" to-layer="16" to-port="1" />
<edge from-layer="15" from-port="2" to-layer="21" to-port="1" />
<edge from-layer="16" from-port="2" to-layer="17" to-port="0" />
<edge from-layer="17" from-port="1" to-layer="18" to-port="0" />
<edge from-layer="18" from-port="1" to-layer="32" to-port="1" />
<edge from-layer="18" from-port="1" to-layer="20" to-port="0" />
<edge from-layer="19" from-port="0" to-layer="20" to-port="1" />
<edge from-layer="20" from-port="2" to-layer="26" to-port="0" />
<edge from-layer="21" from-port="2" to-layer="22" to-port="0" />
<edge from-layer="22" from-port="1" to-layer="23" to-port="0" />
<edge from-layer="23" from-port="1" to-layer="25" to-port="0" />
<edge from-layer="23" from-port="1" to-layer="38" to-port="1" />
<edge from-layer="24" from-port="0" to-layer="25" to-port="1" />
<edge from-layer="25" from-port="2" to-layer="26" to-port="1" />
<edge from-layer="26" from-port="2" to-layer="29" to-port="1" />
<edge from-layer="27" from-port="0" to-layer="29" to-port="2" />
<edge from-layer="28" from-port="0" to-layer="29" to-port="3" />
<edge from-layer="29" from-port="4" to-layer="55" to-port="0" />
<edge from-layer="30" from-port="0" to-layer="44" to-port="0" />
<edge from-layer="31" from-port="0" to-layer="32" to-port="0" />
<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
<edge from-layer="32" from-port="2" to-layer="46" to-port="0" />
<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
<edge from-layer="34" from-port="2" to-layer="36" to-port="0" />
<edge from-layer="34" from-port="2" to-layer="46" to-port="1" />
<edge from-layer="35" from-port="0" to-layer="36" to-port="1" />
<edge from-layer="36" from-port="2" to-layer="44" to-port="1" />
<edge from-layer="37" from-port="0" to-layer="38" to-port="0" />
<edge from-layer="38" from-port="2" to-layer="49" to-port="0" />
<edge from-layer="38" from-port="2" to-layer="40" to-port="0" />
<edge from-layer="39" from-port="0" to-layer="40" to-port="1" />
<edge from-layer="40" from-port="2" to-layer="49" to-port="1" />
<edge from-layer="40" from-port="2" to-layer="42" to-port="0" />
<edge from-layer="41" from-port="0" to-layer="42" to-port="1" />
<edge from-layer="42" from-port="2" to-layer="44" to-port="2" />
<edge from-layer="43" from-port="0" to-layer="44" to-port="3" />
<edge from-layer="44" from-port="4" to-layer="55" to-port="1" />
<edge from-layer="45" from-port="0" to-layer="53" to-port="0" />
<edge from-layer="46" from-port="2" to-layer="48" to-port="0" />
<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
<edge from-layer="48" from-port="2" to-layer="53" to-port="1" />
<edge from-layer="49" from-port="2" to-layer="51" to-port="0" />
<edge from-layer="50" from-port="0" to-layer="51" to-port="1" />
<edge from-layer="51" from-port="2" to-layer="53" to-port="2" />
<edge from-layer="52" from-port="0" to-layer="53" to-port="3" />
<edge from-layer="53" from-port="4" to-layer="55" to-port="2" />
<edge from-layer="54" from-port="0" to-layer="55" to-port="3" />
<edge from-layer="55" from-port="4" to-layer="56" to-port="0" />
<edge from-layer="55" from-port="4" to-layer="66" to-port="0" />
<edge from-layer="56" from-port="1" to-layer="59" to-port="0" />
<edge from-layer="57" from-port="0" to-layer="59" to-port="1" />
<edge from-layer="58" from-port="0" to-layer="59" to-port="2" />
<edge from-layer="59" from-port="3" to-layer="61" to-port="0" />
<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
<edge from-layer="61" from-port="2" to-layer="64" to-port="0" />
<edge from-layer="62" from-port="0" to-layer="64" to-port="1" />
<edge from-layer="63" from-port="0" to-layer="64" to-port="2" />
<edge from-layer="64" from-port="3" to-layer="66" to-port="1" />
<edge from-layer="65" from-port="0" to-layer="66" to-port="2" />
<edge from-layer="66" from-port="3" to-layer="67" to-port="0" />
<edge from-layer="67" from-port="1" to-layer="69" to-port="0" />
<edge from-layer="68" from-port="0" to-layer="69" to-port="1" />
<edge from-layer="69" from-port="2" to-layer="71" to-port="0" />
<edge from-layer="70" from-port="0" to-layer="71" to-port="1" />
<edge from-layer="71" from-port="2" to-layer="73" to-port="0" />
<edge from-layer="72" from-port="0" to-layer="73" to-port="1" />
<edge from-layer="73" from-port="2" to-layer="75" to-port="0" />
<edge from-layer="74" from-port="0" to-layer="75" to-port="1" />
<edge from-layer="75" from-port="2" to-layer="76" to-port="0" />
<edge from-layer="76" from-port="1" to-layer="78" to-port="0" />
<edge from-layer="77" from-port="0" to-layer="78" to-port="1" />
<edge from-layer="78" from-port="2" to-layer="80" to-port="0" />
<edge from-layer="79" from-port="0" to-layer="80" to-port="1" />
<edge from-layer="80" from-port="2" to-layer="81" to-port="0" />
<edge from-layer="81" from-port="1" to-layer="83" to-port="0" />
<edge from-layer="82" from-port="0" to-layer="83" to-port="1" />
<edge from-layer="83" from-port="2" to-layer="85" to-port="0" />
<edge from-layer="84" from-port="0" to-layer="85" to-port="1" />
<edge from-layer="85" from-port="2" to-layer="86" to-port="0" />
<edge from-layer="86" from-port="1" to-layer="89" to-port="0" />
<edge from-layer="87" from-port="0" to-layer="89" to-port="1" />
<edge from-layer="88" from-port="0" to-layer="89" to-port="2" />
<edge from-layer="89" from-port="4" to-layer="91" to-port="0" />
<edge from-layer="89" from-port="4" to-layer="118" to-port="0" />
<edge from-layer="89" from-port="3" to-layer="128" to-port="0" />
<edge from-layer="89" from-port="4" to-layer="128" to-port="1" />
<edge from-layer="90" from-port="0" to-layer="91" to-port="1" />
<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
<edge from-layer="92" from-port="0" to-layer="93" to-port="1" />
<edge from-layer="93" from-port="2" to-layer="94" to-port="0" />
<edge from-layer="94" from-port="1" to-layer="96" to-port="0" />
<edge from-layer="94" from-port="1" to-layer="105" to-port="0" />
<edge from-layer="95" from-port="0" to-layer="96" to-port="1" />
<edge from-layer="96" from-port="2" to-layer="98" to-port="0" />
<edge from-layer="97" from-port="0" to-layer="98" to-port="1" />
<edge from-layer="98" from-port="2" to-layer="99" to-port="0" />
<edge from-layer="99" from-port="1" to-layer="101" to-port="0" />
<edge from-layer="100" from-port="0" to-layer="101" to-port="1" />
<edge from-layer="101" from-port="2" to-layer="103" to-port="0" />
<edge from-layer="102" from-port="0" to-layer="103" to-port="1" />
<edge from-layer="103" from-port="2" to-layer="104" to-port="0" />
<edge from-layer="104" from-port="1" to-layer="105" to-port="1" />
<edge from-layer="105" from-port="2" to-layer="107" to-port="0" />
<edge from-layer="105" from-port="2" to-layer="116" to-port="0" />
<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
<edge from-layer="107" from-port="2" to-layer="109" to-port="0" />
<edge from-layer="108" from-port="0" to-layer="109" to-port="1" />
<edge from-layer="109" from-port="2" to-layer="110" to-port="0" />
<edge from-layer="110" from-port="1" to-layer="112" to-port="0" />
<edge from-layer="111" from-port="0" to-layer="112" to-port="1" />
<edge from-layer="112" from-port="2" to-layer="114" to-port="0" />
<edge from-layer="113" from-port="0" to-layer="114" to-port="1" />
<edge from-layer="114" from-port="2" to-layer="115" to-port="0" />
<edge from-layer="115" from-port="1" to-layer="116" to-port="1" />
<edge from-layer="116" from-port="2" to-layer="122" to-port="0" />
<edge from-layer="117" from-port="0" to-layer="118" to-port="1" />
<edge from-layer="118" from-port="2" to-layer="120" to-port="0" />
<edge from-layer="119" from-port="0" to-layer="120" to-port="1" />
<edge from-layer="120" from-port="2" to-layer="121" to-port="0" />
<edge from-layer="121" from-port="1" to-layer="122" to-port="1" />
<edge from-layer="122" from-port="2" to-layer="124" to-port="0" />
<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
<edge from-layer="126" from-port="2" to-layer="127" to-port="0" />
<edge from-layer="127" from-port="1" to-layer="128" to-port="2" />
<edge from-layer="128" from-port="3" to-layer="130" to-port="0" />
<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
<edge from-layer="130" from-port="2" to-layer="132" to-port="0" />
<edge from-layer="131" from-port="0" to-layer="132" to-port="1" />
<edge from-layer="132" from-port="2" to-layer="133" to-port="0" />
<edge from-layer="133" from-port="1" to-layer="135" to-port="0" />
<edge from-layer="134" from-port="0" to-layer="135" to-port="1" />
<edge from-layer="135" from-port="2" to-layer="137" to-port="0" />
<edge from-layer="136" from-port="0" to-layer="137" to-port="1" />
<edge from-layer="137" from-port="2" to-layer="138" to-port="0" />
<edge from-layer="138" from-port="1" to-layer="140" to-port="0" />
<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
<edge from-layer="140" from-port="2" to-layer="142" to-port="0" />
<edge from-layer="141" from-port="0" to-layer="142" to-port="1" />
<edge from-layer="142" from-port="2" to-layer="143" to-port="0" />
<edge from-layer="143" from-port="1" to-layer="146" to-port="0" />
<edge from-layer="144" from-port="0" to-layer="146" to-port="1" />
<edge from-layer="145" from-port="0" to-layer="146" to-port="2" />
<edge from-layer="146" from-port="4" to-layer="148" to-port="0" />
<edge from-layer="146" from-port="4" to-layer="185" to-port="1" />
<edge from-layer="146" from-port="3" to-layer="185" to-port="0" />
<edge from-layer="146" from-port="4" to-layer="175" to-port="0" />
<edge from-layer="147" from-port="0" to-layer="148" to-port="1" />
<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
<edge from-layer="150" from-port="2" to-layer="151" to-port="0" />
<edge from-layer="151" from-port="1" to-layer="153" to-port="0" />
<edge from-layer="151" from-port="1" to-layer="162" to-port="0" />
<edge from-layer="152" from-port="0" to-layer="153" to-port="1" />
<edge from-layer="153" from-port="2" to-layer="155" to-port="0" />
<edge from-layer="154" from-port="0" to-layer="155" to-port="1" />
<edge from-layer="155" from-port="2" to-layer="156" to-port="0" />
<edge from-layer="156" from-port="1" to-layer="158" to-port="0" />
<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
<edge from-layer="158" from-port="2" to-layer="160" to-port="0" />
<edge from-layer="159" from-port="0" to-layer="160" to-port="1" />
<edge from-layer="160" from-port="2" to-layer="161" to-port="0" />
<edge from-layer="161" from-port="1" to-layer="162" to-port="1" />
<edge from-layer="162" from-port="2" to-layer="164" to-port="0" />
<edge from-layer="162" from-port="2" to-layer="173" to-port="0" />
<edge from-layer="163" from-port="0" to-layer="164" to-port="1" />
<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
<edge from-layer="166" from-port="2" to-layer="167" to-port="0" />
<edge from-layer="167" from-port="1" to-layer="169" to-port="0" />
<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
<edge from-layer="169" from-port="2" to-layer="171" to-port="0" />
<edge from-layer="170" from-port="0" to-layer="171" to-port="1" />
<edge from-layer="171" from-port="2" to-layer="172" to-port="0" />
<edge from-layer="172" from-port="1" to-layer="173" to-port="1" />
<edge from-layer="173" from-port="2" to-layer="179" to-port="0" />
<edge from-layer="174" from-port="0" to-layer="175" to-port="1" />
<edge from-layer="175" from-port="2" to-layer="177" to-port="0" />
<edge from-layer="176" from-port="0" to-layer="177" to-port="1" />
<edge from-layer="177" from-port="2" to-layer="178" to-port="0" />
<edge from-layer="178" from-port="1" to-layer="179" to-port="1" />
<edge from-layer="179" from-port="2" to-layer="181" to-port="0" />
<edge from-layer="180" from-port="0" to-layer="181" to-port="1" />
<edge from-layer="181" from-port="2" to-layer="183" to-port="0" />
<edge from-layer="182" from-port="0" to-layer="183" to-port="1" />
<edge from-layer="183" from-port="2" to-layer="184" to-port="0" />
<edge from-layer="184" from-port="1" to-layer="185" to-port="2" />
<edge from-layer="185" from-port="3" 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="189" from-port="2" to-layer="190" to-port="0" />
<edge from-layer="190" from-port="1" to-layer="430" to-port="1" />
<edge from-layer="190" from-port="1" 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="194" to-port="0" />
<edge from-layer="193" from-port="0" to-layer="194" to-port="1" />
<edge from-layer="194" from-port="2" to-layer="195" to-port="0" />
<edge from-layer="195" from-port="1" to-layer="197" to-port="0" />
<edge from-layer="196" from-port="0" to-layer="197" to-port="1" />
<edge from-layer="197" from-port="2" to-layer="199" to-port="0" />
<edge from-layer="198" from-port="0" to-layer="199" to-port="1" />
<edge from-layer="199" from-port="2" to-layer="200" to-port="0" />
<edge from-layer="200" from-port="1" to-layer="203" to-port="0" />
<edge from-layer="201" from-port="0" to-layer="203" to-port="1" />
<edge from-layer="202" from-port="0" to-layer="203" to-port="2" />
<edge from-layer="203" from-port="4" to-layer="232" to-port="0" />
<edge from-layer="203" from-port="3" to-layer="242" to-port="0" />
<edge from-layer="203" from-port="4" to-layer="242" to-port="1" />
<edge from-layer="203" from-port="4" to-layer="205" to-port="0" />
<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
<edge from-layer="207" from-port="2" to-layer="208" to-port="0" />
<edge from-layer="208" from-port="1" to-layer="210" to-port="0" />
<edge from-layer="208" from-port="1" to-layer="219" to-port="0" />
<edge from-layer="209" from-port="0" to-layer="210" to-port="1" />
<edge from-layer="210" from-port="2" to-layer="212" to-port="0" />
<edge from-layer="211" from-port="0" to-layer="212" to-port="1" />
<edge from-layer="212" from-port="2" to-layer="213" to-port="0" />
<edge from-layer="213" from-port="1" to-layer="215" to-port="0" />
<edge from-layer="214" from-port="0" to-layer="215" to-port="1" />
<edge from-layer="215" from-port="2" to-layer="217" to-port="0" />
<edge from-layer="216" from-port="0" to-layer="217" to-port="1" />
<edge from-layer="217" from-port="2" to-layer="218" to-port="0" />
<edge from-layer="218" from-port="1" to-layer="219" to-port="1" />
<edge from-layer="219" from-port="2" to-layer="221" to-port="0" />
<edge from-layer="219" from-port="2" to-layer="230" to-port="0" />
<edge from-layer="220" from-port="0" to-layer="221" to-port="1" />
<edge from-layer="221" from-port="2" to-layer="223" to-port="0" />
<edge from-layer="222" from-port="0" to-layer="223" to-port="1" />
<edge from-layer="223" from-port="2" to-layer="224" to-port="0" />
<edge from-layer="224" from-port="1" to-layer="226" to-port="0" />
<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
<edge from-layer="226" from-port="2" to-layer="228" to-port="0" />
<edge from-layer="227" from-port="0" to-layer="228" to-port="1" />
<edge from-layer="228" from-port="2" to-layer="229" to-port="0" />
<edge from-layer="229" from-port="1" to-layer="230" to-port="1" />
<edge from-layer="230" from-port="2" to-layer="236" to-port="0" />
<edge from-layer="231" from-port="0" to-layer="232" to-port="1" />
<edge from-layer="232" from-port="2" to-layer="234" to-port="0" />
<edge from-layer="233" from-port="0" to-layer="234" to-port="1" />
<edge from-layer="234" from-port="2" to-layer="235" to-port="0" />
<edge from-layer="235" from-port="1" to-layer="236" to-port="1" />
<edge from-layer="236" from-port="2" to-layer="238" to-port="0" />
<edge from-layer="237" from-port="0" to-layer="238" to-port="1" />
<edge from-layer="238" from-port="2" to-layer="240" to-port="0" />
<edge from-layer="239" from-port="0" to-layer="240" to-port="1" />
<edge from-layer="240" from-port="2" to-layer="241" to-port="0" />
<edge from-layer="241" from-port="1" to-layer="242" to-port="2" />
<edge from-layer="242" from-port="3" to-layer="244" to-port="0" />
<edge from-layer="243" from-port="0" to-layer="244" to-port="1" />
<edge from-layer="244" from-port="2" to-layer="246" to-port="0" />
<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
<edge from-layer="246" from-port="2" to-layer="247" to-port="0" />
<edge from-layer="247" from-port="1" to-layer="249" to-port="0" />
<edge from-layer="247" from-port="1" to-layer="374" to-port="1" />
<edge from-layer="248" from-port="0" to-layer="249" to-port="1" />
<edge from-layer="249" from-port="2" to-layer="251" to-port="0" />
<edge from-layer="250" from-port="0" to-layer="251" to-port="1" />
<edge from-layer="251" from-port="2" to-layer="252" to-port="0" />
<edge from-layer="252" from-port="1" to-layer="254" to-port="0" />
<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
<edge from-layer="256" from-port="2" to-layer="257" to-port="0" />
<edge from-layer="257" from-port="1" to-layer="260" to-port="0" />
<edge from-layer="258" from-port="0" to-layer="260" to-port="1" />
<edge from-layer="259" from-port="0" to-layer="260" to-port="2" />
<edge from-layer="260" from-port="4" to-layer="299" to-port="1" />
<edge from-layer="260" from-port="3" to-layer="299" to-port="0" />
<edge from-layer="260" from-port="4" to-layer="289" to-port="0" />
<edge from-layer="260" from-port="4" to-layer="262" to-port="0" />
<edge from-layer="261" from-port="0" 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="267" to-port="0" />
<edge from-layer="265" from-port="1" to-layer="276" to-port="0" />
<edge from-layer="266" from-port="0" to-layer="267" to-port="1" />
<edge from-layer="267" from-port="2" to-layer="269" to-port="0" />
<edge from-layer="268" from-port="0" to-layer="269" to-port="1" />
<edge from-layer="269" from-port="2" to-layer="270" to-port="0" />
<edge from-layer="270" from-port="1" to-layer="272" to-port="0" />
<edge from-layer="271" from-port="0" to-layer="272" to-port="1" />
<edge from-layer="272" from-port="2" to-layer="274" to-port="0" />
<edge from-layer="273" from-port="0" to-layer="274" to-port="1" />
<edge from-layer="274" from-port="2" to-layer="275" to-port="0" />
<edge from-layer="275" from-port="1" to-layer="276" to-port="1" />
<edge from-layer="276" from-port="2" to-layer="287" to-port="0" />
<edge from-layer="276" from-port="2" to-layer="278" to-port="0" />
<edge from-layer="277" from-port="0" to-layer="278" to-port="1" />
<edge from-layer="278" from-port="2" to-layer="280" to-port="0" />
<edge from-layer="279" from-port="0" to-layer="280" to-port="1" />
<edge from-layer="280" from-port="2" to-layer="281" to-port="0" />
<edge from-layer="281" from-port="1" to-layer="283" to-port="0" />
<edge from-layer="282" from-port="0" to-layer="283" to-port="1" />
<edge from-layer="283" from-port="2" to-layer="285" to-port="0" />
<edge from-layer="284" from-port="0" to-layer="285" to-port="1" />
<edge from-layer="285" from-port="2" to-layer="286" to-port="0" />
<edge from-layer="286" from-port="1" to-layer="287" to-port="1" />
<edge from-layer="287" from-port="2" to-layer="293" to-port="0" />
<edge from-layer="288" from-port="0" to-layer="289" to-port="1" />
<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
<edge from-layer="291" from-port="2" to-layer="292" to-port="0" />
<edge from-layer="292" from-port="1" to-layer="293" to-port="1" />
<edge from-layer="293" from-port="2" to-layer="295" to-port="0" />
<edge from-layer="294" from-port="0" to-layer="295" to-port="1" />
<edge from-layer="295" from-port="2" to-layer="297" to-port="0" />
<edge from-layer="296" from-port="0" to-layer="297" to-port="1" />
<edge from-layer="297" from-port="2" to-layer="298" to-port="0" />
<edge from-layer="298" from-port="1" to-layer="299" to-port="2" />
<edge from-layer="299" from-port="3" to-layer="301" to-port="0" />
<edge from-layer="300" from-port="0" to-layer="301" to-port="1" />
<edge from-layer="301" from-port="2" to-layer="303" to-port="0" />
<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
<edge from-layer="303" from-port="2" to-layer="304" to-port="0" />
<edge from-layer="304" from-port="1" to-layer="306" to-port="0" />
<edge from-layer="305" from-port="0" to-layer="306" to-port="1" />
<edge from-layer="306" from-port="2" to-layer="308" to-port="0" />
<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
<edge from-layer="308" from-port="2" to-layer="309" to-port="0" />
<edge from-layer="309" from-port="1" to-layer="310" to-port="0" />
<edge from-layer="309" from-port="1" to-layer="313" to-port="0" />
<edge from-layer="310" from-port="1" to-layer="311" to-port="0" />
<edge from-layer="310" from-port="1" to-layer="313" to-port="1" />
<edge from-layer="311" from-port="1" to-layer="312" to-port="0" />
<edge from-layer="311" from-port="1" to-layer="313" to-port="2" />
<edge from-layer="312" from-port="1" to-layer="313" to-port="3" />
<edge from-layer="313" from-port="4" to-layer="315" to-port="0" />
<edge from-layer="314" from-port="0" to-layer="315" to-port="1" />
<edge from-layer="315" from-port="2" to-layer="317" to-port="0" />
<edge from-layer="316" from-port="0" to-layer="317" to-port="1" />
<edge from-layer="317" from-port="2" 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="322" from-port="2" to-layer="323" to-port="0" />
<edge from-layer="323" from-port="1" to-layer="326" to-port="0" />
<edge from-layer="324" from-port="0" to-layer="326" to-port="1" />
<edge from-layer="325" from-port="0" to-layer="326" to-port="2" />
<edge from-layer="326" from-port="4" to-layer="328" to-port="0" />
<edge from-layer="326" from-port="4" to-layer="354" to-port="0" />
<edge from-layer="326" from-port="3" to-layer="365" to-port="0" />
<edge from-layer="327" from-port="0" to-layer="328" to-port="1" />
<edge from-layer="328" from-port="2" to-layer="330" to-port="0" />
<edge from-layer="329" from-port="0" to-layer="330" to-port="1" />
<edge from-layer="330" from-port="2" to-layer="332" to-port="0" />
<edge from-layer="331" from-port="0" to-layer="332" to-port="1" />
<edge from-layer="332" from-port="2" to-layer="335" to-port="0" />
<edge from-layer="333" from-port="0" to-layer="335" to-port="1" />
<edge from-layer="334" from-port="0" to-layer="335" to-port="2" />
<edge from-layer="335" from-port="3" to-layer="336" to-port="0" />
<edge from-layer="335" from-port="4" to-layer="336" to-port="1" />
<edge from-layer="335" from-port="5" to-layer="340" to-port="0" />
<edge from-layer="335" from-port="5" to-layer="344" to-port="0" />
<edge from-layer="336" from-port="2" to-layer="338" to-port="0" />
<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
<edge from-layer="338" from-port="2" to-layer="339" to-port="0" />
<edge from-layer="339" from-port="1" to-layer="340" to-port="1" />
<edge from-layer="340" from-port="2" to-layer="342" to-port="0" />
<edge from-layer="341" from-port="0" to-layer="342" to-port="1" />
<edge from-layer="342" from-port="2" to-layer="349" to-port="0" />
<edge from-layer="343" from-port="0" to-layer="344" to-port="1" />
<edge from-layer="344" from-port="2" to-layer="346" to-port="0" />
<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
<edge from-layer="346" from-port="2" to-layer="348" to-port="0" />
<edge from-layer="347" from-port="0" to-layer="348" to-port="1" />
<edge from-layer="348" from-port="2" to-layer="349" to-port="1" />
<edge from-layer="349" from-port="2" to-layer="351" to-port="0" />
<edge from-layer="350" from-port="0" to-layer="351" to-port="1" />
<edge from-layer="351" from-port="2" to-layer="353" to-port="0" />
<edge from-layer="352" from-port="0" to-layer="353" to-port="1" />
<edge from-layer="353" from-port="2" to-layer="354" to-port="1" />
<edge from-layer="354" from-port="2" to-layer="364" to-port="0" />
<edge from-layer="354" from-port="2" to-layer="356" to-port="0" />
<edge from-layer="355" from-port="0" to-layer="356" to-port="1" />
<edge from-layer="356" from-port="2" to-layer="358" to-port="0" />
<edge from-layer="357" from-port="0" to-layer="358" to-port="1" />
<edge from-layer="358" from-port="2" 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="363" from-port="2" to-layer="364" to-port="1" />
<edge from-layer="364" from-port="2" to-layer="365" to-port="1" />
<edge from-layer="365" from-port="2" to-layer="367" to-port="0" />
<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
<edge from-layer="367" from-port="2" to-layer="369" to-port="0" />
<edge from-layer="368" from-port="0" to-layer="369" to-port="1" />
<edge from-layer="369" from-port="2" to-layer="370" to-port="0" />
<edge from-layer="370" from-port="1" to-layer="373" to-port="0" />
<edge from-layer="370" from-port="1" to-layer="628" to-port="1" />
<edge from-layer="371" from-port="0" to-layer="373" to-port="1" />
<edge from-layer="372" from-port="0" to-layer="373" to-port="2" />
<edge from-layer="373" from-port="3" to-layer="374" to-port="0" />
<edge from-layer="374" from-port="2" to-layer="376" to-port="0" />
<edge from-layer="375" from-port="0" to-layer="376" to-port="1" />
<edge from-layer="376" from-port="2" to-layer="378" to-port="0" />
<edge from-layer="377" from-port="0" to-layer="378" to-port="1" />
<edge from-layer="378" from-port="2" to-layer="379" to-port="0" />
<edge from-layer="379" from-port="1" to-layer="382" to-port="0" />
<edge from-layer="380" from-port="0" to-layer="382" to-port="1" />
<edge from-layer="381" from-port="0" to-layer="382" to-port="2" />
<edge from-layer="382" from-port="4" to-layer="384" to-port="0" />
<edge from-layer="382" from-port="4" to-layer="421" to-port="1" />
<edge from-layer="382" from-port="3" to-layer="421" to-port="0" />
<edge from-layer="382" from-port="4" to-layer="411" to-port="0" />
<edge from-layer="383" from-port="0" to-layer="384" to-port="1" />
<edge from-layer="384" from-port="2" to-layer="386" to-port="0" />
<edge from-layer="385" from-port="0" to-layer="386" to-port="1" />
<edge from-layer="386" from-port="2" to-layer="387" to-port="0" />
<edge from-layer="387" from-port="1" to-layer="389" to-port="0" />
<edge from-layer="387" from-port="1" to-layer="398" to-port="0" />
<edge from-layer="388" from-port="0" to-layer="389" to-port="1" />
<edge from-layer="389" from-port="2" to-layer="391" to-port="0" />
<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
<edge from-layer="391" from-port="2" to-layer="392" to-port="0" />
<edge from-layer="392" from-port="1" to-layer="394" to-port="0" />
<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
<edge from-layer="394" from-port="2" to-layer="396" to-port="0" />
<edge from-layer="395" from-port="0" to-layer="396" to-port="1" />
<edge from-layer="396" from-port="2" to-layer="397" to-port="0" />
<edge from-layer="397" from-port="1" to-layer="398" to-port="1" />
<edge from-layer="398" from-port="2" to-layer="400" to-port="0" />
<edge from-layer="398" from-port="2" to-layer="409" to-port="0" />
<edge from-layer="399" from-port="0" to-layer="400" to-port="1" />
<edge from-layer="400" from-port="2" to-layer="402" to-port="0" />
<edge from-layer="401" from-port="0" to-layer="402" to-port="1" />
<edge from-layer="402" from-port="2" to-layer="403" to-port="0" />
<edge from-layer="403" from-port="1" to-layer="405" to-port="0" />
<edge from-layer="404" from-port="0" to-layer="405" to-port="1" />
<edge from-layer="405" from-port="2" to-layer="407" to-port="0" />
<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
<edge from-layer="407" from-port="2" to-layer="408" to-port="0" />
<edge from-layer="408" from-port="1" to-layer="409" to-port="1" />
<edge from-layer="409" from-port="2" to-layer="415" to-port="0" />
<edge from-layer="410" from-port="0" to-layer="411" to-port="1" />
<edge from-layer="411" from-port="2" to-layer="413" to-port="0" />
<edge from-layer="412" from-port="0" to-layer="413" to-port="1" />
<edge from-layer="413" from-port="2" to-layer="414" to-port="0" />
<edge from-layer="414" from-port="1" to-layer="415" to-port="1" />
<edge from-layer="415" from-port="2" to-layer="417" to-port="0" />
<edge from-layer="416" from-port="0" 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="2" />
<edge from-layer="421" from-port="3" to-layer="423" to-port="0" />
<edge from-layer="422" from-port="0" to-layer="423" to-port="1" />
<edge from-layer="423" from-port="2" to-layer="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="426" to-port="0" />
<edge from-layer="426" from-port="1" to-layer="529" to-port="1" />
<edge from-layer="426" from-port="1" to-layer="429" to-port="0" />
<edge from-layer="427" from-port="0" to-layer="429" to-port="1" />
<edge from-layer="428" from-port="0" to-layer="429" to-port="2" />
<edge from-layer="429" from-port="3" to-layer="430" to-port="0" />
<edge from-layer="430" from-port="2" to-layer="432" to-port="0" />
<edge from-layer="431" from-port="0" to-layer="432" to-port="1" />
<edge from-layer="432" from-port="2" to-layer="434" to-port="0" />
<edge from-layer="433" from-port="0" to-layer="434" to-port="1" />
<edge from-layer="434" from-port="2" to-layer="435" to-port="0" />
<edge from-layer="435" from-port="1" to-layer="438" to-port="0" />
<edge from-layer="436" from-port="0" to-layer="438" to-port="1" />
<edge from-layer="437" from-port="0" to-layer="438" to-port="2" />
<edge from-layer="438" from-port="4" to-layer="440" to-port="0" />
<edge from-layer="438" from-port="4" to-layer="477" to-port="1" />
<edge from-layer="438" from-port="3" to-layer="477" to-port="0" />
<edge from-layer="438" from-port="4" to-layer="467" to-port="0" />
<edge from-layer="439" from-port="0" to-layer="440" to-port="1" />
<edge from-layer="440" from-port="2" 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="443" to-port="0" />
<edge from-layer="443" from-port="1" to-layer="445" to-port="0" />
<edge from-layer="443" from-port="1" to-layer="454" to-port="0" />
<edge from-layer="444" from-port="0" 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="450" to-port="0" />
<edge from-layer="449" from-port="0" to-layer="450" to-port="1" />
<edge from-layer="450" from-port="2" to-layer="452" to-port="0" />
<edge from-layer="451" from-port="0" to-layer="452" to-port="1" />
<edge from-layer="452" from-port="2" to-layer="453" to-port="0" />
<edge from-layer="453" from-port="1" to-layer="454" to-port="1" />
<edge from-layer="454" from-port="2" to-layer="456" to-port="0" />
<edge from-layer="454" from-port="2" to-layer="465" to-port="0" />
<edge from-layer="455" from-port="0" to-layer="456" to-port="1" />
<edge from-layer="456" from-port="2" to-layer="458" to-port="0" />
<edge from-layer="457" from-port="0" to-layer="458" to-port="1" />
<edge from-layer="458" from-port="2" to-layer="459" to-port="0" />
<edge from-layer="459" from-port="1" to-layer="461" to-port="0" />
<edge from-layer="460" from-port="0" to-layer="461" to-port="1" />
<edge from-layer="461" from-port="2" to-layer="463" to-port="0" />
<edge from-layer="462" from-port="0" to-layer="463" to-port="1" />
<edge from-layer="463" from-port="2" to-layer="464" to-port="0" />
<edge from-layer="464" from-port="1" to-layer="465" to-port="1" />
<edge from-layer="465" from-port="2" to-layer="471" to-port="0" />
<edge from-layer="466" from-port="0" to-layer="467" to-port="1" />
<edge from-layer="467" from-port="2" to-layer="469" to-port="0" />
<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
<edge from-layer="469" from-port="2" to-layer="470" to-port="0" />
<edge from-layer="470" from-port="1" to-layer="471" to-port="1" />
<edge from-layer="471" from-port="2" to-layer="473" to-port="0" />
<edge from-layer="472" from-port="0" to-layer="473" to-port="1" />
<edge from-layer="473" from-port="2" to-layer="475" to-port="0" />
<edge from-layer="474" from-port="0" to-layer="475" to-port="1" />
<edge from-layer="475" from-port="2" to-layer="476" to-port="0" />
<edge from-layer="476" from-port="1" to-layer="477" to-port="2" />
<edge from-layer="477" from-port="3" to-layer="479" to-port="0" />
<edge from-layer="478" from-port="0" to-layer="479" to-port="1" />
<edge from-layer="479" from-port="2" to-layer="481" to-port="0" />
<edge from-layer="480" from-port="0" to-layer="481" to-port="1" />
<edge from-layer="481" from-port="2" to-layer="482" to-port="0" />
<edge from-layer="482" from-port="1" to-layer="484" to-port="0" />
<edge from-layer="482" from-port="1" to-layer="525" to-port="0" />
<edge from-layer="482" from-port="1" to-layer="498" to-port="0" />
<edge from-layer="483" from-port="0" to-layer="484" to-port="1" />
<edge from-layer="484" from-port="2" to-layer="486" to-port="0" />
<edge from-layer="485" from-port="0" to-layer="486" to-port="1" />
<edge from-layer="486" from-port="2" to-layer="487" to-port="0" />
<edge from-layer="487" from-port="1" to-layer="489" to-port="0" />
<edge from-layer="488" from-port="0" to-layer="489" to-port="1" />
<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
<edge from-layer="491" from-port="2" to-layer="492" to-port="0" />
<edge from-layer="492" from-port="1" to-layer="494" to-port="0" />
<edge from-layer="493" from-port="0" to-layer="494" to-port="1" />
<edge from-layer="494" from-port="2" to-layer="496" to-port="0" />
<edge from-layer="495" from-port="0" to-layer="496" to-port="1" />
<edge from-layer="496" from-port="2" to-layer="521" to-port="0" />
<edge from-layer="497" from-port="0" to-layer="498" to-port="1" />
<edge from-layer="498" from-port="2" to-layer="500" to-port="0" />
<edge from-layer="499" from-port="0" to-layer="500" to-port="1" />
<edge from-layer="500" from-port="2" to-layer="501" to-port="0" />
<edge from-layer="501" from-port="1" to-layer="503" to-port="0" />
<edge from-layer="502" from-port="0" to-layer="503" to-port="1" />
<edge from-layer="503" from-port="2" to-layer="505" to-port="0" />
<edge from-layer="504" from-port="0" to-layer="505" to-port="1" />
<edge from-layer="505" from-port="2" to-layer="506" to-port="0" />
<edge from-layer="506" from-port="1" to-layer="508" to-port="0" />
<edge from-layer="507" from-port="0" to-layer="508" to-port="1" />
<edge from-layer="508" from-port="2" 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="511" to-port="0" />
<edge from-layer="511" from-port="1" to-layer="513" to-port="0" />
<edge from-layer="512" from-port="0" 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="518" to-port="0" />
<edge from-layer="517" from-port="0" to-layer="518" to-port="1" />
<edge from-layer="518" from-port="2" to-layer="520" to-port="0" />
<edge from-layer="519" from-port="0" to-layer="520" to-port="1" />
<edge from-layer="520" from-port="2" to-layer="521" to-port="1" />
<edge from-layer="521" from-port="2" to-layer="523" to-port="0" />
<edge from-layer="522" from-port="0" to-layer="523" to-port="1" />
<edge from-layer="523" from-port="2" to-layer="722" to-port="0" />
<edge from-layer="524" from-port="0" to-layer="525" to-port="1" />
<edge from-layer="525" from-port="2" to-layer="527" to-port="0" />
<edge from-layer="526" from-port="0" to-layer="527" to-port="1" />
<edge from-layer="527" from-port="2" to-layer="528" to-port="0" />
<edge from-layer="528" from-port="1" to-layer="529" to-port="0" />
<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="531" from-port="2" to-layer="533" to-port="0" />
<edge from-layer="532" from-port="0" to-layer="533" to-port="1" />
<edge from-layer="533" from-port="2" to-layer="534" to-port="0" />
<edge from-layer="534" from-port="1" to-layer="537" to-port="0" />
<edge from-layer="535" from-port="0" to-layer="537" to-port="1" />
<edge from-layer="536" from-port="0" to-layer="537" to-port="2" />
<edge from-layer="537" from-port="3" to-layer="576" to-port="0" />
<edge from-layer="537" from-port="4" to-layer="576" to-port="1" />
<edge from-layer="537" from-port="4" to-layer="566" to-port="0" />
<edge from-layer="537" from-port="4" to-layer="539" to-port="0" />
<edge from-layer="538" from-port="0" to-layer="539" to-port="1" />
<edge from-layer="539" from-port="2" to-layer="541" to-port="0" />
<edge from-layer="540" from-port="0" to-layer="541" to-port="1" />
<edge from-layer="541" from-port="2" to-layer="542" to-port="0" />
<edge from-layer="542" from-port="1" to-layer="544" to-port="0" />
<edge from-layer="542" from-port="1" to-layer="553" to-port="0" />
<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
<edge from-layer="544" from-port="2" to-layer="546" to-port="0" />
<edge from-layer="545" from-port="0" to-layer="546" to-port="1" />
<edge from-layer="546" from-port="2" to-layer="547" to-port="0" />
<edge from-layer="547" from-port="1" to-layer="549" to-port="0" />
<edge from-layer="548" from-port="0" to-layer="549" to-port="1" />
<edge from-layer="549" from-port="2" to-layer="551" to-port="0" />
<edge from-layer="550" from-port="0" to-layer="551" to-port="1" />
<edge from-layer="551" from-port="2" to-layer="552" to-port="0" />
<edge from-layer="552" from-port="1" to-layer="553" to-port="1" />
<edge from-layer="553" from-port="2" to-layer="564" to-port="0" />
<edge from-layer="553" from-port="2" to-layer="555" to-port="0" />
<edge from-layer="554" from-port="0" to-layer="555" to-port="1" />
<edge from-layer="555" from-port="2" to-layer="557" to-port="0" />
<edge from-layer="556" from-port="0" to-layer="557" to-port="1" />
<edge from-layer="557" from-port="2" to-layer="558" to-port="0" />
<edge from-layer="558" from-port="1" to-layer="560" to-port="0" />
<edge from-layer="559" from-port="0" 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="1" />
<edge from-layer="564" from-port="2" to-layer="570" to-port="0" />
<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
<edge from-layer="566" from-port="2" to-layer="568" to-port="0" />
<edge from-layer="567" from-port="0" to-layer="568" to-port="1" />
<edge from-layer="568" from-port="2" to-layer="569" to-port="0" />
<edge from-layer="569" from-port="1" to-layer="570" to-port="1" />
<edge from-layer="570" from-port="2" to-layer="572" to-port="0" />
<edge from-layer="571" from-port="0" 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="2" />
<edge from-layer="576" from-port="3" to-layer="578" to-port="0" />
<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
<edge from-layer="578" from-port="2" 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="581" to-port="0" />
<edge from-layer="581" from-port="1" to-layer="583" to-port="0" />
<edge from-layer="581" from-port="1" to-layer="597" to-port="0" />
<edge from-layer="581" from-port="1" to-layer="624" to-port="0" />
<edge from-layer="582" from-port="0" 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="588" to-port="0" />
<edge from-layer="587" from-port="0" to-layer="588" to-port="1" />
<edge from-layer="588" from-port="2" to-layer="590" to-port="0" />
<edge from-layer="589" from-port="0" to-layer="590" to-port="1" />
<edge from-layer="590" from-port="2" to-layer="591" to-port="0" />
<edge from-layer="591" from-port="1" to-layer="593" to-port="0" />
<edge from-layer="592" from-port="0" to-layer="593" to-port="1" />
<edge from-layer="593" from-port="2" 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="620" to-port="0" />
<edge from-layer="596" from-port="0" to-layer="597" to-port="1" />
<edge from-layer="597" from-port="2" to-layer="599" to-port="0" />
<edge from-layer="598" from-port="0" to-layer="599" to-port="1" />
<edge from-layer="599" from-port="2" to-layer="600" to-port="0" />
<edge from-layer="600" from-port="1" to-layer="602" to-port="0" />
<edge from-layer="601" from-port="0" to-layer="602" to-port="1" />
<edge from-layer="602" from-port="2" to-layer="604" to-port="0" />
<edge from-layer="603" from-port="0" to-layer="604" to-port="1" />
<edge from-layer="604" from-port="2" to-layer="605" to-port="0" />
<edge from-layer="605" from-port="1" to-layer="607" to-port="0" />
<edge from-layer="606" from-port="0" to-layer="607" to-port="1" />
<edge from-layer="607" from-port="2" to-layer="609" to-port="0" />
<edge from-layer="608" from-port="0" to-layer="609" to-port="1" />
<edge from-layer="609" from-port="2" to-layer="610" to-port="0" />
<edge from-layer="610" from-port="1" to-layer="612" to-port="0" />
<edge from-layer="611" from-port="0" to-layer="612" to-port="1" />
<edge from-layer="612" from-port="2" to-layer="614" to-port="0" />
<edge from-layer="613" from-port="0" to-layer="614" to-port="1" />
<edge from-layer="614" from-port="2" 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="1" />
<edge from-layer="620" from-port="2" to-layer="622" to-port="0" />
<edge from-layer="621" from-port="0" to-layer="622" to-port="1" />
<edge from-layer="622" from-port="2" to-layer="722" to-port="1" />
<edge from-layer="623" from-port="0" to-layer="624" to-port="1" />
<edge from-layer="624" from-port="2" to-layer="626" to-port="0" />
<edge from-layer="625" from-port="0" to-layer="626" to-port="1" />
<edge from-layer="626" from-port="2" to-layer="627" to-port="0" />
<edge from-layer="627" from-port="1" to-layer="628" to-port="0" />
<edge from-layer="628" from-port="2" to-layer="630" to-port="0" />
<edge from-layer="629" from-port="0" to-layer="630" to-port="1" />
<edge from-layer="630" from-port="2" to-layer="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="633" to-port="0" />
<edge from-layer="633" from-port="1" to-layer="636" to-port="0" />
<edge from-layer="634" from-port="0" to-layer="636" to-port="1" />
<edge from-layer="635" from-port="0" to-layer="636" to-port="2" />
<edge from-layer="636" from-port="4" to-layer="675" to-port="1" />
<edge from-layer="636" from-port="3" to-layer="675" to-port="0" />
<edge from-layer="636" from-port="4" to-layer="665" to-port="0" />
<edge from-layer="636" from-port="4" to-layer="638" to-port="0" />
<edge from-layer="637" from-port="0" to-layer="638" to-port="1" />
<edge from-layer="638" from-port="2" to-layer="640" to-port="0" />
<edge from-layer="639" from-port="0" to-layer="640" to-port="1" />
<edge from-layer="640" from-port="2" to-layer="641" to-port="0" />
<edge from-layer="641" from-port="1" to-layer="643" to-port="0" />
<edge from-layer="641" from-port="1" to-layer="652" 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="645" from-port="2" to-layer="646" to-port="0" />
<edge from-layer="646" from-port="1" 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="650" to-port="0" />
<edge from-layer="649" from-port="0" to-layer="650" to-port="1" />
<edge from-layer="650" from-port="2" to-layer="651" to-port="0" />
<edge from-layer="651" from-port="1" to-layer="652" to-port="1" />
<edge from-layer="652" from-port="2" to-layer="654" to-port="0" />
<edge from-layer="652" from-port="2" to-layer="663" 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="656" from-port="2" to-layer="657" to-port="0" />
<edge from-layer="657" from-port="1" 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="661" to-port="0" />
<edge from-layer="660" from-port="0" to-layer="661" to-port="1" />
<edge from-layer="661" from-port="2" to-layer="662" to-port="0" />
<edge from-layer="662" from-port="1" to-layer="663" to-port="1" />
<edge from-layer="663" from-port="2" to-layer="669" to-port="0" />
<edge from-layer="664" from-port="0" to-layer="665" to-port="1" />
<edge from-layer="665" from-port="2" to-layer="667" to-port="0" />
<edge from-layer="666" from-port="0" to-layer="667" to-port="1" />
<edge from-layer="667" from-port="2" to-layer="668" to-port="0" />
<edge from-layer="668" from-port="1" 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="671" from-port="2" to-layer="673" to-port="0" />
<edge from-layer="672" from-port="0" to-layer="673" to-port="1" />
<edge from-layer="673" from-port="2" to-layer="674" to-port="0" />
<edge from-layer="674" from-port="1" to-layer="675" to-port="2" />
<edge from-layer="675" from-port="3" to-layer="677" to-port="0" />
<edge from-layer="676" from-port="0" to-layer="677" to-port="1" />
<edge from-layer="677" from-port="2" to-layer="679" to-port="0" />
<edge from-layer="678" from-port="0" to-layer="679" to-port="1" />
<edge from-layer="679" from-port="2" to-layer="680" to-port="0" />
<edge from-layer="680" from-port="1" to-layer="682" to-port="0" />
<edge from-layer="680" from-port="1" to-layer="696" to-port="0" />
<edge from-layer="681" from-port="0" to-layer="682" to-port="1" />
<edge from-layer="682" from-port="2" to-layer="684" to-port="0" />
<edge from-layer="683" from-port="0" to-layer="684" to-port="1" />
<edge from-layer="684" from-port="2" to-layer="685" to-port="0" />
<edge from-layer="685" from-port="1" to-layer="687" to-port="0" />
<edge from-layer="686" from-port="0" to-layer="687" to-port="1" />
<edge from-layer="687" from-port="2" to-layer="689" to-port="0" />
<edge from-layer="688" from-port="0" to-layer="689" to-port="1" />
<edge from-layer="689" from-port="2" 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="694" from-port="2" to-layer="719" to-port="0" />
<edge from-layer="695" from-port="0" to-layer="696" to-port="1" />
<edge from-layer="696" from-port="2" to-layer="698" to-port="0" />
<edge from-layer="697" from-port="0" to-layer="698" to-port="1" />
<edge from-layer="698" from-port="2" to-layer="699" to-port="0" />
<edge from-layer="699" from-port="1" to-layer="701" to-port="0" />
<edge from-layer="700" from-port="0" to-layer="701" to-port="1" />
<edge from-layer="701" from-port="2" 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="704" to-port="0" />
<edge from-layer="704" from-port="1" to-layer="706" to-port="0" />
<edge from-layer="705" from-port="0" to-layer="706" to-port="1" />
<edge from-layer="706" from-port="2" to-layer="708" to-port="0" />
<edge from-layer="707" from-port="0" to-layer="708" to-port="1" />
<edge from-layer="708" from-port="2" to-layer="709" to-port="0" />
<edge from-layer="709" from-port="1" to-layer="711" to-port="0" />
<edge from-layer="710" from-port="0" to-layer="711" to-port="1" />
<edge from-layer="711" from-port="2" to-layer="713" to-port="0" />
<edge from-layer="712" from-port="0" to-layer="713" to-port="1" />
<edge from-layer="713" from-port="2" to-layer="714" to-port="0" />
<edge from-layer="714" from-port="1" to-layer="716" to-port="0" />
<edge from-layer="715" from-port="0" to-layer="716" to-port="1" />
<edge from-layer="716" from-port="2" 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="719" to-port="1" />
<edge from-layer="719" from-port="2" to-layer="721" to-port="0" />
<edge from-layer="720" from-port="0" to-layer="721" to-port="1" />
<edge from-layer="721" from-port="2" to-layer="722" to-port="2" />
<edge from-layer="722" from-port="3" to-layer="725" to-port="0" />
<edge from-layer="723" from-port="0" to-layer="737" to-port="1" />
<edge from-layer="723" from-port="0" to-layer="746" to-port="1" />
<edge from-layer="723" from-port="0" to-layer="725" to-port="1" />
<edge from-layer="724" from-port="0" to-layer="725" to-port="2" />
<edge from-layer="725" from-port="3" to-layer="727" to-port="0" />
<edge from-layer="725" from-port="4" to-layer="756" to-port="0" />
<edge from-layer="726" from-port="0" to-layer="727" to-port="1" />
<edge from-layer="727" from-port="2" 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="730" to-port="0" />
<edge from-layer="730" from-port="1" to-layer="732" to-port="0" />
<edge from-layer="731" from-port="0" 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="734" from-port="2" to-layer="746" to-port="0" />
<edge from-layer="735" from-port="1" to-layer="737" to-port="0" />
<edge from-layer="736" from-port="0" to-layer="737" to-port="2" />
<edge from-layer="736" from-port="0" to-layer="741" to-port="1" />
<edge from-layer="737" from-port="3" to-layer="739" to-port="0" />
<edge from-layer="737" from-port="3" to-layer="740" to-port="0" />
<edge from-layer="738" from-port="0" to-layer="739" to-port="1" />
<edge from-layer="738" from-port="0" to-layer="740" to-port="1" />
<edge from-layer="739" from-port="2" to-layer="743" to-port="0" />
<edge from-layer="740" from-port="2" to-layer="741" to-port="0" />
<edge from-layer="741" from-port="2" to-layer="742" to-port="0" />
<edge from-layer="742" from-port="1" 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="2" />
<edge from-layer="746" from-port="3" to-layer="747" to-port="1" />
<edge from-layer="746" from-port="4" to-layer="748" to-port="1" />
<edge from-layer="747" from-port="2" to-layer="749" to-port="0" />
<edge from-layer="747" from-port="2" to-layer="752" to-port="1" />
<edge from-layer="748" from-port="2" to-layer="749" to-port="1" />
<edge from-layer="748" from-port="2" to-layer="752" to-port="0" />
<edge from-layer="749" from-port="2" to-layer="751" to-port="0" />
<edge from-layer="750" from-port="0" to-layer="751" to-port="1" />
<edge from-layer="751" from-port="2" to-layer="753" to-port="0" />
<edge from-layer="752" from-port="2" to-layer="753" to-port="1" />
<edge from-layer="753" from-port="2" 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="1" to-layer="757" to-port="1" />
<edge from-layer="757" from-port="2" to-layer="758" to-port="0" />
</edges>
<rt_info>
<Runtime_version value="2025.4.0-20398-7a975177ff4-releases/2025/4" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
<model_info>
<confidence_threshold value="0.5" />
<embedded_processing value="YES" />
<iou_threshold value="0.7" />
<labels value="person bicycle car motorcycle airplane bus train truck boat traffic_light fire_hydrant stop_sign parking_meter bench bird cat dog horse sheep cow elephant bear zebra giraffe backpack umbrella handbag tie suitcase frisbee skis snowboard sports_ball kite baseball_bat baseball_glove skateboard surfboard tennis_racket bottle wine_glass cup fork knife spoon bowl banana apple sandwich orange broccoli carrot hot_dog pizza donut cake chair couch potted_plant bed dining_table toilet tv laptop mouse remote keyboard cell_phone microwave oven toaster sink refrigerator book clock vase scissors teddy_bear hair_drier toothbrush" />
<mean_values value="" />
<model_type value="YOLOv8" />
<pad_value value="114" />
<path_to_labels value="" />
<resize_type value="fit_to_window_letterbox" />
<reverse_input_channels value="YES" />
<scale_values value="255" />
</model_info>
</rt_info>
</net>