segmentation/yolov8-seg/openvino/camstack-yolov8n-seg.xml

<?xml version="1.0"?>
<net name="onnx_Frontend_IR" version="11">
	<layers>
		<layer id="0" name="images" type="Parameter" version="opset1">
			<data shape="1,3,640,640" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="images">
					<dim>1</dim>
					<dim>3</dim>
					<dim>640</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="model.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="16, 3, 3, 3" offset="0" size="864" />
			<output>
				<port id="0" precision="FP16" names="model.0.conv.weight">
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="model.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="/model.0/conv/Conv/WithoutBiases" 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>3</dim>
					<dim>640</dim>
					<dim>640</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>320</dim>
					<dim>320</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Reshape_81312_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="864" size="32" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="Reshape_81312" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="/model.0/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>320</dim>
					<dim>320</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="/model.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>320</dim>
					<dim>320</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="/model.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>320</dim>
					<dim>320</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>320</dim>
					<dim>320</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="model.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 16, 3, 3" offset="896" size="9216" />
			<output>
				<port id="0" precision="FP16" names="model.1.conv.weight">
					<dim>32</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="model.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="/model.1/conv/Conv/WithoutBiases" 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>16</dim>
					<dim>320</dim>
					<dim>320</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="Reshape_81329_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="10112" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="Reshape_81329" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="/model.1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</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="/model.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="/model.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="model.2.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 1, 1" offset="10176" size="2048" />
			<output>
				<port id="0" precision="FP16" names="model.2.cv1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="model.2.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="/model.2/cv1/conv/Conv/WithoutBiases" 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>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="Reshape_81346_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="12224" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="19" name="Reshape_81346" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="/model.2/cv1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</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="/model.2/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="/model.2/cv1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.2/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="Constant_81351" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="23" name="onnx::Split_163" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="12296" size="16" />
			<output>
				<port id="0" precision="I64" names="onnx::Split_163">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="/model.2/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="I64" />
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.2/Split_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="4" precision="FP32" names="/model.2/Split_output_1">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="model.2.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="16, 16, 3, 3" offset="12312" size="4608" />
			<output>
				<port id="0" precision="FP16" names="model.2.m.0.cv1.conv.weight">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="model.2.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="/model.2/m.0/cv1/conv/Conv/WithoutBiases" 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>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="Reshape_81366_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="16920" size="32" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="Reshape_81366" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="/model.2/m.0/cv1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</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="/model.2/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="/model.2/m.0/cv1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.2/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="model.2.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="16, 16, 3, 3" offset="16952" size="4608" />
			<output>
				<port id="0" precision="FP16" names="model.2.m.0.cv2.conv.weight">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="model.2.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="/model.2/m.0/cv2/conv/Conv/WithoutBiases" 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>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="Reshape_81383_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="21560" size="32" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="Reshape_81383" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="/model.2/m.0/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</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="/model.2/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="/model.2/m.0/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.2/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="/model.2/m.0/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.2/m.0/Add_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="/model.2/Concat" type="Concat" version="opset1">
			<data axis="1" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.2/Concat_output_0">
					<dim>1</dim>
					<dim>48</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="model.2.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 48, 1, 1" offset="21592" size="3072" />
			<output>
				<port id="0" precision="FP16" names="model.2.cv2.conv.weight">
					<dim>32</dim>
					<dim>48</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="model.2.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>48</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>48</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="/model.2/cv2/conv/Conv/WithoutBiases" 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>48</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>48</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="Reshape_81402_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="24664" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="Reshape_81402" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="/model.2/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</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="/model.2/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="/model.2/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.2/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="model.3.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 32, 3, 3" offset="24728" size="36864" />
			<output>
				<port id="0" precision="FP16" names="model.3.conv.weight">
					<dim>64</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="model.3.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="/model.3/conv/Conv/WithoutBiases" 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>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="Reshape_81419_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="61592" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="Reshape_81419" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="/model.3/conv/Conv" 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="/model.3/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="/model.3/act/Mul" 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="/model.3/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="model.4.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 1, 1" offset="61720" size="8192" />
			<output>
				<port id="0" precision="FP16" names="model.4.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="model.4.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="/model.4/cv1/conv/Conv/WithoutBiases" 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="58" name="Reshape_81436_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="69912" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="Reshape_81436" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="/model.4/cv1/conv/Conv" 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="/model.4/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="/model.4/cv1/act/Mul" 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="/model.4/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="Constant_81441" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="63" name="onnx::Split_183" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="70040" size="16" />
			<output>
				<port id="0" precision="I64" names="onnx::Split_183">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="/model.4/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</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="/model.4/Split_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="4" precision="FP32" names="/model.4/Split_output_1">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="model.4.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="70056" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.4.m.0.cv1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="model.4.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="/model.4/m.0/cv1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="Reshape_81456_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="88488" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="Reshape_81456" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="/model.4/m.0/cv1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.4/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="71" name="/model.4/m.0/cv1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.4/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="model.4.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="88552" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.4.m.0.cv2.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="model.4.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="74" name="/model.4/m.0/cv2/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="Reshape_81473_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="106984" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="Reshape_81473" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="/model.4/m.0/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.4/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="/model.4/m.0/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.4/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="79" name="/model.4/m.0/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.4/m.0/Add_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="model.4.m.1.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="107048" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.4.m.1.cv1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="model.4.m.1.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="/model.4/m.1/cv1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Reshape_81491_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="125480" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="Reshape_81491" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="/model.4/m.1/cv1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.4/m.1/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="/model.4/m.1/cv1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.4/m.1/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="87" name="model.4.m.1.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="125544" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.4.m.1.cv2.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="model.4.m.1.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="/model.4/m.1/cv2/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="Reshape_81508_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="143976" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="Reshape_81508" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="/model.4/m.1/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.4/m.1/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="/model.4/m.1/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.4/m.1/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="94" name="/model.4/m.1/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.4/m.1/Add_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="/model.4/Concat" type="Concat" version="opset1">
			<data axis="1" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="3" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="FP32" names="/model.4/Concat_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="model.4.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 128, 1, 1" offset="144040" size="16384" />
			<output>
				<port id="0" precision="FP16" names="model.4.cv2.conv.weight">
					<dim>64</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="model.4.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="/model.4/cv2/conv/Conv/WithoutBiases" 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="99" name="Reshape_81527_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="160424" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="100" name="Reshape_81527" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="/model.4/cv2/conv/Conv" 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="/model.4/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="/model.4/cv2/act/Mul" 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="/model.4/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="model.5.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 64, 3, 3" offset="160552" size="147456" />
			<output>
				<port id="0" precision="FP16" names="model.5.conv.weight">
					<dim>128</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="model.5.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="105" name="/model.5/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="Reshape_81544_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="308008" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="Reshape_81544" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="108" name="/model.5/conv/Conv" 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="/model.5/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="109" name="/model.5/act/Mul" 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="/model.5/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="110" name="model.6.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 1, 1" offset="308264" size="32768" />
			<output>
				<port id="0" precision="FP16" names="model.6.cv1.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="111" name="model.6.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="112" name="/model.6/cv1/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</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>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="Reshape_81561_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="341032" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="Reshape_81561" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="/model.6/cv1/conv/Conv" 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="/model.6/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="/model.6/cv1/act/Mul" 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="/model.6/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="Constant_81566" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="118" name="onnx::Split_210" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="341288" size="16" />
			<output>
				<port id="0" precision="I64" names="onnx::Split_210">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="/model.6/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</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="/model.6/Split_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="4" precision="FP32" names="/model.6/Split_output_1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="model.6.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="341304" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.6.m.0.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="121" name="model.6.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="122" name="/model.6/m.0/cv1/conv/Conv/WithoutBiases" 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="123" name="Reshape_81581_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="415032" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="Reshape_81581" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="125" name="/model.6/m.0/cv1/conv/Conv" 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="/model.6/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="126" name="/model.6/m.0/cv1/act/Mul" 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="/model.6/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="model.6.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="415160" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.6.m.0.cv2.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="model.6.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="/model.6/m.0/cv2/conv/Conv/WithoutBiases" 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="130" name="Reshape_81598_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="488888" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="Reshape_81598" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="/model.6/m.0/cv2/conv/Conv" 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="/model.6/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="/model.6/m.0/cv2/act/Mul" 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="/model.6/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="/model.6/m.0/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>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.6/m.0/Add_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="model.6.m.1.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="489016" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.6.m.1.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="model.6.m.1.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="/model.6/m.1/cv1/conv/Conv/WithoutBiases" 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="138" name="Reshape_81616_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="562744" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="Reshape_81616" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="/model.6/m.1/cv1/conv/Conv" 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="/model.6/m.1/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="141" name="/model.6/m.1/cv1/act/Mul" 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="/model.6/m.1/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="142" name="model.6.m.1.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="562872" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.6.m.1.cv2.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="model.6.m.1.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="/model.6/m.1/cv2/conv/Conv/WithoutBiases" 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="145" name="Reshape_81633_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="636600" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="Reshape_81633" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="147" name="/model.6/m.1/cv2/conv/Conv" 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="/model.6/m.1/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="148" name="/model.6/m.1/cv2/act/Mul" 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="/model.6/m.1/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="/model.6/m.1/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>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.6/m.1/Add_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="/model.6/Concat" 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>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="3" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="FP32" names="/model.6/Concat_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="model.6.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 256, 1, 1" offset="636728" size="65536" />
			<output>
				<port id="0" precision="FP16" names="model.6.cv2.conv.weight">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="model.6.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="/model.6/cv2/conv/Conv/WithoutBiases" 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="154" name="Reshape_81652_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="702264" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="Reshape_81652" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="156" name="/model.6/cv2/conv/Conv" 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="/model.6/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="/model.6/cv2/act/Mul" 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="/model.6/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="model.7.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 128, 3, 3" offset="702520" size="589824" />
			<output>
				<port id="0" precision="FP16" names="model.7.conv.weight">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="model.7.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="/model.7/conv/Conv/WithoutBiases" 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>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="Reshape_81669_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="1292344" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="162" name="Reshape_81669" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="163" name="/model.7/conv/Conv" 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="/model.7/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="/model.7/act/Mul" 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="/model.7/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="model.8.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 256, 1, 1" offset="1292856" size="131072" />
			<output>
				<port id="0" precision="FP16" names="model.8.cv1.conv.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="model.8.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="/model.8/cv1/conv/Conv/WithoutBiases" 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="168" name="Reshape_81686_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="1423928" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="169" name="Reshape_81686" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="/model.8/cv1/conv/Conv" 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="/model.8/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="/model.8/cv1/act/Mul" 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="/model.8/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="Constant_81691" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="173" name="onnx::Split_237" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="1424440" size="16" />
			<output>
				<port id="0" precision="I64" names="onnx::Split_237">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="/model.8/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</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="/model.8/Split_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="4" precision="FP32" names="/model.8/Split_output_1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="model.8.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 3, 3" offset="1424456" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.8.m.0.cv1.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="model.8.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="/model.8/m.0/cv1/conv/Conv/WithoutBiases" 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="178" name="Reshape_81706_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="1719368" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="Reshape_81706" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="/model.8/m.0/cv1/conv/Conv" 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="/model.8/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="/model.8/m.0/cv1/act/Mul" 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="/model.8/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="model.8.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 3, 3" offset="1719624" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.8.m.0.cv2.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="model.8.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="/model.8/m.0/cv2/conv/Conv/WithoutBiases" 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="185" name="Reshape_81723_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="2014536" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="Reshape_81723" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="187" name="/model.8/m.0/cv2/conv/Conv" 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="/model.8/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="188" name="/model.8/m.0/cv2/act/Mul" 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="/model.8/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="/model.8/m.0/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="/model.8/m.0/Add_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="/model.8/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>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.8/Concat_output_0">
					<dim>1</dim>
					<dim>384</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="model.8.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 384, 1, 1" offset="2014792" size="196608" />
			<output>
				<port id="0" precision="FP16" names="model.8.cv2.conv.weight">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="model.8.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="/model.8/cv2/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="194" name="Reshape_81742_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="2211400" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="Reshape_81742" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="/model.8/cv2/conv/Conv" 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="/model.8/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="/model.8/cv2/act/Mul" 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="/model.8/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="model.9.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 256, 1, 1" offset="2211912" size="65536" />
			<output>
				<port id="0" precision="FP16" names="model.9.cv1.conv.weight">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="model.9.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="/model.9/cv1/conv/Conv/WithoutBiases" 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="201" name="Reshape_81759_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="2277448" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="202" name="Reshape_81759" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="203" name="/model.9/cv1/conv/Conv" 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="/model.9/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="/model.9/cv1/act/Mul" 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="/model.9/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="/model.9/m/MaxPool" type="MaxPool" version="opset8">
			<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="0" />
			<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="/model.9/m/MaxPool_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="/model.9/m_1/MaxPool" type="MaxPool" version="opset8">
			<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="0" />
			<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="/model.9/m_1/MaxPool_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="/model.9/m_2/MaxPool" type="MaxPool" version="opset8">
			<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="0" />
			<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="/model.9/m_2/MaxPool_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="/model.9/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>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="3" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="FP32" names="/model.9/Concat_output_0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="209" name="model.9.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 512, 1, 1" offset="2277704" size="262144" />
			<output>
				<port id="0" precision="FP16" names="model.9.cv2.conv.weight">
					<dim>256</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="210" name="model.9.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="/model.9/cv2/conv/Conv/WithoutBiases" 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="212" name="Reshape_81780_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="2539848" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="Reshape_81780" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="/model.9/cv2/conv/Conv" 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="/model.9/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="/model.9/cv2/act/Mul" 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="/model.9/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="216" name="/model.10/Constant_output_0" type="Const" version="opset1">
			<data element_type="f32" shape="4" offset="2540360" size="16" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="FP32" names="/model.10/Constant_output_0">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="217" name="/model.10/Resize" 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>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.10/Resize_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="/model.11/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>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.11/Concat_output_0">
					<dim>1</dim>
					<dim>384</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="219" name="model.12.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 384, 1, 1" offset="2540376" size="98304" />
			<output>
				<port id="0" precision="FP16" names="model.12.cv1.conv.weight">
					<dim>128</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="220" name="model.12.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="221" name="/model.12/cv1/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>384</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="222" name="Reshape_81801_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="2638680" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="Reshape_81801" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="224" name="/model.12/cv1/conv/Conv" 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="/model.12/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="225" name="/model.12/cv1/act/Mul" 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="/model.12/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="Constant_81805" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="227" name="/model.12/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</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="/model.12/Split_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="4" precision="FP32" names="/model.12/Split_output_1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="model.12.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2638936" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.12.m.0.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="model.12.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="/model.12/m.0/cv1/conv/Conv/WithoutBiases" 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="231" name="Reshape_81820_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2712664" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="232" name="Reshape_81820" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="233" name="/model.12/m.0/cv1/conv/Conv" 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="/model.12/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="/model.12/m.0/cv1/act/Mul" 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="/model.12/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="model.12.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2712792" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.12.m.0.cv2.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="236" name="model.12.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="/model.12/m.0/cv2/conv/Conv/WithoutBiases" 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="238" name="Reshape_81837_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2786520" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="239" name="Reshape_81837" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="/model.12/m.0/cv2/conv/Conv" 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="/model.12/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="241" name="/model.12/m.0/cv2/act/Mul" 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="/model.12/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="242" name="/model.12/Concat" 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>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.12/Concat_output_0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="243" name="model.12.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 192, 1, 1" offset="2786648" size="49152" />
			<output>
				<port id="0" precision="FP16" names="model.12.cv2.conv.weight">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="244" name="model.12.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="/model.12/cv2/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</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="246" name="Reshape_81855_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="2835800" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="247" name="Reshape_81855" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="248" name="/model.12/cv2/conv/Conv" 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="/model.12/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="249" name="/model.12/cv2/act/Mul" 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="/model.12/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="250" name="/model.13/Resize" 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>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.13/Resize_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="251" name="/model.14/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>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.14/Concat_output_0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="252" name="model.15.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 192, 1, 1" offset="2836056" size="24576" />
			<output>
				<port id="0" precision="FP16" names="model.15.cv1.conv.weight">
					<dim>64</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="253" name="model.15.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="254" name="/model.15/cv1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>192</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="255" name="Reshape_81875_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2860632" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="256" name="Reshape_81875" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="257" name="/model.15/cv1/conv/Conv" 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="/model.15/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="258" name="/model.15/cv1/act/Mul" 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="/model.15/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="259" name="Constant_81879" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="260" name="/model.15/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</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="/model.15/Split_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="4" precision="FP32" names="/model.15/Split_output_1">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="261" name="model.15.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="2860760" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.15.m.0.cv1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="262" name="model.15.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="263" name="/model.15/m.0/cv1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="264" name="Reshape_81894_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="2879192" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="265" name="Reshape_81894" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="266" name="/model.15/m.0/cv1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.15/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="267" name="/model.15/m.0/cv1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.15/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="268" name="model.15.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="2879256" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.15.m.0.cv2.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="269" name="model.15.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="270" name="/model.15/m.0/cv2/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="271" name="Reshape_81911_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="2897688" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="272" name="Reshape_81911" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="273" name="/model.15/m.0/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.15/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="274" name="/model.15/m.0/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.15/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="275" name="/model.15/Concat" type="Concat" version="opset1">
			<data axis="1" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.15/Concat_output_0">
					<dim>1</dim>
					<dim>96</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="276" name="model.15.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 96, 1, 1" offset="2897752" size="12288" />
			<output>
				<port id="0" precision="FP16" names="model.15.cv2.conv.weight">
					<dim>64</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="277" name="model.15.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="278" name="/model.15/cv2/conv/Conv/WithoutBiases" 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>96</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>96</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="279" name="Reshape_81929_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2910040" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="280" name="Reshape_81929" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="281" name="/model.15/cv2/conv/Conv" 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="/model.15/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="282" name="/model.15/cv2/act/Mul" 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="/model.15/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="283" name="model.22.proto.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2910168" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.proto.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="284" name="model.22.proto.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="285" name="/model.22/proto/cv1/conv/Conv/WithoutBiases" 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="286" name="Reshape_82006_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2983896" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="287" name="Reshape_82006" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="288" name="/model.22/proto/cv1/conv/Conv" 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="/model.22/proto/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="289" name="/model.22/proto/cv1/act/Mul" 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="/model.22/proto/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="290" name="model.22.proto.upsample.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 2, 2" offset="2984024" size="32768" />
			<output>
				<port id="0" precision="FP16" names="model.22.proto.upsample.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>2</dim>
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="291" name="model.22.proto.upsample.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>2</dim>
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>2</dim>
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="292" name="ConvolutionBackpropData_82066" type="ConvolutionBackpropData" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
			<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>2</dim>
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="293" name="Reshape_82068_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3016792" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="294" name="Reshape_82068" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="295" name="/model.22/proto/upsample/ConvTranspose" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</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="/model.22/proto/upsample/ConvTranspose_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="296" name="model.22.proto.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3016920" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.proto.cv2.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="297" name="model.22.proto.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="298" name="/model.22/proto/cv2/conv/Conv/WithoutBiases" 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>160</dim>
					<dim>160</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>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="299" name="Reshape_82101_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3090648" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="300" name="Reshape_82101" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="301" name="/model.22/proto/cv2/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</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="/model.22/proto/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="302" name="/model.22/proto/cv2/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/proto/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="303" name="model.22.proto.cv3.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 64, 1, 1" offset="3090776" size="4096" />
			<output>
				<port id="0" precision="FP16" names="model.22.proto.cv3.conv.weight">
					<dim>32</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="304" name="model.22.proto.cv3.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="305" name="/model.22/proto/cv3/conv/Conv/WithoutBiases" 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>160</dim>
					<dim>160</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>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="306" name="Reshape_82176_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="3094872" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="307" name="Reshape_82176" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="308" name="/model.22/proto/cv3/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</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="/model.22/proto/cv3/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="309" name="output1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="output1">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</output>
		</layer>
		<layer id="310" name="/model.22/Constant_15_output_0_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 2, 8400" offset="3094936" size="33600" />
			<output>
				<port id="0" precision="FP16" names="/model.22/Constant_15_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="311" name="/model.22/Constant_15_output_0" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="312" name="model.22.cv2.0.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3128536" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.0.0.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="313" name="model.22.cv2.0.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="314" name="/model.22/cv2.0/cv2.0.0/conv/Conv/WithoutBiases" 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="315" name="Reshape_81961_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3202264" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="316" name="Reshape_81961" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="317" name="/model.22/cv2.0/cv2.0.0/conv/Conv" 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="/model.22/cv2.0/cv2.0.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="318" name="/model.22/cv2.0/cv2.0.0/act/Mul" 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="/model.22/cv2.0/cv2.0.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="319" name="model.22.cv2.0.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3202392" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.0.1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="320" name="model.22.cv2.0.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="321" name="/model.22/cv2.0/cv2.0.1/conv/Conv/WithoutBiases" 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="322" name="Reshape_82032_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3276120" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="323" name="Reshape_82032" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="324" name="/model.22/cv2.0/cv2.0.1/conv/Conv" 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="/model.22/cv2.0/cv2.0.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="325" name="/model.22/cv2.0/cv2.0.1/act/Mul" 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="/model.22/cv2.0/cv2.0.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="326" name="model.22.cv2.0.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 1, 1" offset="3276248" size="8192" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.0.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="327" name="model.22.cv2.0.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="328" name="/model.22/cv2.0/cv2.0.2/Conv/WithoutBiases" 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="329" name="Reshape_82122_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3284440" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="330" name="Reshape_82122" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="331" name="/model.22/cv2.0/cv2.0.2/Conv" 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="/model.22/cv2.0/cv2.0.2/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="332" name="/model.22/Constant_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="3284568" size="24" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64" names="/model.22/Constant_output_0">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="333" name="/model.22/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</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="/model.22/Reshape_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>6400</dim>
				</port>
			</output>
		</layer>
		<layer id="334" name="model.16.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3284592" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.16.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="335" name="model.16.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="336" name="/model.16/conv/Conv/WithoutBiases" 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>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>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="337" name="Reshape_81946_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3358320" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="338" name="Reshape_81946" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="339" name="/model.16/conv/Conv" 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="/model.16/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="340" name="/model.16/act/Mul" 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="/model.16/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="341" name="/model.17/Concat" 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>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.17/Concat_output_0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="342" name="model.18.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 192, 1, 1" offset="3358448" size="49152" />
			<output>
				<port id="0" precision="FP16" names="model.18.cv1.conv.weight">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="343" name="model.18.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="344" name="/model.18/cv1/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</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="345" name="Reshape_82083_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="3407600" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="346" name="Reshape_82083" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="347" name="/model.18/cv1/conv/Conv" 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="/model.18/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="348" name="/model.18/cv1/act/Mul" 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="/model.18/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="349" name="Constant_82155" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="350" name="/model.18/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</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="/model.18/Split_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="4" precision="FP32" names="/model.18/Split_output_1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="351" name="model.18.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3407856" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.18.m.0.cv1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="352" name="model.18.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="353" name="/model.18/m.0/cv1/conv/Conv/WithoutBiases" 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="354" name="Reshape_82191_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3481584" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="355" name="Reshape_82191" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="356" name="/model.18/m.0/cv1/conv/Conv" 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="/model.18/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="357" name="/model.18/m.0/cv1/act/Mul" 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="/model.18/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="358" name="model.18.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3481712" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.18.m.0.cv2.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="359" name="model.18.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="360" name="/model.18/m.0/cv2/conv/Conv/WithoutBiases" 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="361" name="Reshape_82210_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3555440" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="362" name="Reshape_82210" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="363" name="/model.18/m.0/cv2/conv/Conv" 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="/model.18/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="364" name="/model.18/m.0/cv2/act/Mul" 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="/model.18/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="365" name="/model.18/Concat" 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>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.18/Concat_output_0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="366" name="model.18.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 192, 1, 1" offset="3555568" size="49152" />
			<output>
				<port id="0" precision="FP16" names="model.18.cv2.conv.weight">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="367" name="model.18.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="368" name="/model.18/cv2/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>192</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="369" name="Reshape_82228_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="3604720" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="370" name="Reshape_82228" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="371" name="/model.18/cv2/conv/Conv" 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="/model.18/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="372" name="/model.18/cv2/act/Mul" 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="/model.18/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="373" name="model.22.cv2.1.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 128, 3, 3" offset="3604976" size="147456" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.1.0.conv.weight">
					<dim>64</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="374" name="model.22.cv2.1.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="375" name="/model.22/cv2.1/cv2.1.0/conv/Conv/WithoutBiases" 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>64</dim>
					<dim>128</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="376" name="Reshape_82260_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3752432" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="377" name="Reshape_82260" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="378" name="/model.22/cv2.1/cv2.1.0/conv/Conv" 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="/model.22/cv2.1/cv2.1.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="379" name="/model.22/cv2.1/cv2.1.0/act/Mul" 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="/model.22/cv2.1/cv2.1.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="380" name="model.22.cv2.1.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3752560" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.1.1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="381" name="model.22.cv2.1.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="382" name="/model.22/cv2.1/cv2.1.1/conv/Conv/WithoutBiases" 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="383" name="Reshape_82314_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3826288" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="384" name="Reshape_82314" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="385" name="/model.22/cv2.1/cv2.1.1/conv/Conv" 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="/model.22/cv2.1/cv2.1.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="386" name="/model.22/cv2.1/cv2.1.1/act/Mul" 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="/model.22/cv2.1/cv2.1.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="387" name="model.22.cv2.1.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 1, 1" offset="3826416" size="8192" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.1.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="388" name="model.22.cv2.1.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="389" name="/model.22/cv2.1/cv2.1.2/Conv/WithoutBiases" 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="390" name="Reshape_82382_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3834608" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="391" name="Reshape_82382" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="392" name="/model.22/cv2.1/cv2.1.2/Conv" 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="/model.22/cv2.1/cv2.1.2/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="393" name="/model.22/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</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="/model.22/Reshape_1_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1600</dim>
				</port>
			</output>
		</layer>
		<layer id="394" name="model.19.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 3, 3" offset="3834736" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.19.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="395" name="model.19.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="396" name="/model.19/conv/Conv/WithoutBiases" 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>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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="397" name="Reshape_82245_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="4129648" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="398" name="Reshape_82245" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="399" name="/model.19/conv/Conv" 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="/model.19/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="400" name="/model.19/act/Mul" 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="/model.19/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="401" name="/model.20/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>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.20/Concat_output_0">
					<dim>1</dim>
					<dim>384</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="402" name="model.21.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 384, 1, 1" offset="4129904" size="196608" />
			<output>
				<port id="0" precision="FP16" names="model.21.cv1.conv.weight">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="403" name="model.21.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="404" name="/model.21/cv1/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="405" name="Reshape_82359_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="4326512" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="406" name="Reshape_82359" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="407" name="/model.21/cv1/conv/Conv" 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="/model.21/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="408" name="/model.21/cv1/act/Mul" 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="/model.21/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="409" name="Constant_82414" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="410" name="/model.21/Split" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</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="/model.21/Split_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="4" precision="FP32" names="/model.21/Split_output_1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="411" name="model.21.m.0.cv1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 3, 3" offset="4327024" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.21.m.0.cv1.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="412" name="model.21.m.0.cv1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="413" name="/model.21/m.0/cv1/conv/Conv/WithoutBiases" 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="414" name="Reshape_82432_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="4621936" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="415" name="Reshape_82432" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="416" name="/model.21/m.0/cv1/conv/Conv" 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="/model.21/m.0/cv1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="417" name="/model.21/m.0/cv1/act/Mul" 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="/model.21/m.0/cv1/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="418" name="model.21.m.0.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="128, 128, 3, 3" offset="4622192" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.21.m.0.cv2.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="419" name="model.21.m.0.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="420" name="/model.21/m.0/cv2/conv/Conv/WithoutBiases" 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="421" name="Reshape_82449_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 128, 1, 1" offset="4917104" size="256" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="422" name="Reshape_82449" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="423" name="/model.21/m.0/cv2/conv/Conv" 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="/model.21/m.0/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="424" name="/model.21/m.0/cv2/act/Mul" 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="/model.21/m.0/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="425" name="/model.21/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>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.21/Concat_output_0">
					<dim>1</dim>
					<dim>384</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="426" name="model.21.cv2.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="256, 384, 1, 1" offset="4917360" size="196608" />
			<output>
				<port id="0" precision="FP16" names="model.21.cv2.conv.weight">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="427" name="model.21.cv2.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="428" name="/model.21/cv2/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="429" name="Reshape_82467_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 256, 1, 1" offset="5113968" size="512" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="430" name="Reshape_82467" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="431" name="/model.21/cv2/conv/Conv" 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="/model.21/cv2/conv/Conv_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="432" name="/model.21/cv2/act/Mul" 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="/model.21/cv2/act/Mul_output_0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="433" name="model.22.cv2.2.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 256, 3, 3" offset="5114480" size="294912" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.2.0.conv.weight">
					<dim>64</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="434" name="model.22.cv2.2.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="435" name="/model.22/cv2.2/cv2.2.0/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="436" name="Reshape_82484_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="5409392" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="437" name="Reshape_82484" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="438" name="/model.22/cv2.2/cv2.2.0/conv/Conv" 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="/model.22/cv2.2/cv2.2.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="439" name="/model.22/cv2.2/cv2.2.0/act/Mul" 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="/model.22/cv2.2/cv2.2.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="440" name="model.22.cv2.2.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="5409520" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.2.1.conv.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="441" name="model.22.cv2.2.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="442" name="/model.22/cv2.2/cv2.2.1/conv/Conv/WithoutBiases" 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="443" name="Reshape_82535_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="5483248" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="444" name="Reshape_82535" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="445" name="/model.22/cv2.2/cv2.2.1/conv/Conv" 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="/model.22/cv2.2/cv2.2.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="446" name="/model.22/cv2.2/cv2.2.1/act/Mul" 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="/model.22/cv2.2/cv2.2.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="447" name="model.22.cv2.2.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 1, 1" offset="5483376" size="8192" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv2.2.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="448" name="model.22.cv2.2.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="449" name="/model.22/cv2.2/cv2.2.2/Conv/WithoutBiases" 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="450" name="Reshape_82586_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="5491568" size="128" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="451" name="Reshape_82586" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="452" name="/model.22/cv2.2/cv2.2.2/Conv" 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="/model.22/cv2.2/cv2.2.2/Conv_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="453" name="/model.22/Reshape_2" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</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="/model.22/Reshape_2_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>400</dim>
				</port>
			</output>
		</layer>
		<layer id="454" name="/model.22/Concat" type="Concat" version="opset1">
			<data axis="-1" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>6400</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1600</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>400</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.22/Concat_output_0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="455" name="/model.22/dfl/Constant_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="5491696" size="32" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64" names="/model.22/dfl/Constant_output_0">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="456" name="/model.22/dfl/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>8400</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.22/dfl/Reshape_output_0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>16</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="457" name="Constant_82627" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="5491728" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="458" name="/model.22/dfl/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="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/model.22/dfl/Transpose_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="459" name="/model.22/dfl/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="/model.22/dfl/Softmax_output_0">
					<dim>1</dim>
					<dim>16</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="460" name="model.22.dfl.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="5491760" size="32" />
			<output>
				<port id="0" precision="FP16" names="model.22.dfl.conv.weight">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="461" name="model.22.dfl.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="462" name="/model.22/dfl/conv/Conv" 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="/model.22/dfl/conv/Conv_output_0">
					<dim>1</dim>
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="463" name="/model.22/dfl/Constant_1_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="5491792" size="24" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64" names="/model.22/dfl/Constant_1_output_0">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="464" name="/model.22/dfl/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<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="/model.22/dfl/Reshape_1_output_0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="465" name="/model.22/Constant_10_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="5491816" size="8" />
			<output>
				<port id="0" precision="I64" names="/model.22/Constant_10_output_0">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="466" name="/model.22/Mul_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="5491824" size="8" />
			<output>
				<port id="0" precision="I64" names="/model.22/Mul_output_0">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="467" name="Broadcast_82640" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="468" name="/model.22/Constant_9_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64" names="/model.22/Constant_9_output_0">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="469" name="/model.22/Slice" type="Slice" version="opset8">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
				</port>
				<port id="3" precision="I64">
					<dim>1</dim>
				</port>
				<port id="4" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP32" names="/model.22/Slice_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="470" name="/model.22/Sub" 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="/model.22/Sub_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="471" name="/model.22/Constant_16_output_0_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 2, 8400" offset="3094936" size="33600" />
			<output>
				<port id="0" precision="FP16" names="/model.22/Constant_16_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="472" name="/model.22/Constant_16_output_0" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="473" name="/model.22/Mul_1_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="5491832" size="8" />
			<output>
				<port id="0" precision="I64" names="/model.22/Mul_1_output_0">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="474" name="Broadcast_82648" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="12288" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="475" name="/model.22/Slice_1" type="Slice" version="opset8">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
				</port>
				<port id="3" precision="I64">
					<dim>1</dim>
				</port>
				<port id="4" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP32" names="/model.22/Slice_1_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="476" name="/model.22/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="/model.22/Add_1_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="477" name="/model.22/Add_2" 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="/model.22/Add_2_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="478" name="Constant_87298_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1, 1" offset="5491840" size="2" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="479" name="Constant_87298" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<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>
				</port>
			</output>
		</layer>
		<layer id="480" name="/model.22/Div_1" 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="/model.22/Div_1_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="481" name="/model.22/Sub_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="/model.22/Sub_1_output_0">
					<dim>1</dim>
					<dim>2</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="482" name="/model.22/Concat_3" 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="/model.22/Concat_3_output_0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="483" name="Constant_87299_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1, 8400" offset="5491842" size="16800" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="484" name="Constant_87299" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>8400</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="485" name="/model.22/Mul_2" 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="/model.22/Mul_2_output_0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="486" name="model.22.cv3.0.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 64, 3, 3" offset="5508642" size="92160" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.0.0.conv.weight">
					<dim>80</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="487" name="model.22.cv3.0.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="488" name="/model.22/cv3.0/cv3.0.0/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</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="489" name="Reshape_81976_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="5600802" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="490" name="Reshape_81976" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="491" name="/model.22/cv3.0/cv3.0.0/conv/Conv" 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="/model.22/cv3.0/cv3.0.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="492" name="/model.22/cv3.0/cv3.0.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.0/cv3.0.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="493" name="model.22.cv3.0.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 3, 3" offset="5600962" size="115200" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.0.1.conv.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="494" name="model.22.cv3.0.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="495" name="/model.22/cv3.0/cv3.0.1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</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="496" name="Reshape_82047_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="5716162" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="497" name="Reshape_82047" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="498" name="/model.22/cv3.0/cv3.0.1/conv/Conv" 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="/model.22/cv3.0/cv3.0.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="499" name="/model.22/cv3.0/cv3.0.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.0/cv3.0.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="500" name="model.22.cv3.0.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 1, 1" offset="5716322" size="12800" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.0.2.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="501" name="model.22.cv3.0.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="502" name="/model.22/cv3.0/cv3.0.2/Conv/WithoutBiases" 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>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</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="503" name="Reshape_82137_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="5729122" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="504" name="Reshape_82137" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="505" name="/model.22/cv3.0/cv3.0.2/Conv" 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="/model.22/cv3.0/cv3.0.2/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="506" name="/model.22/Constant_3_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="5729282" size="24" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64" names="/model.22/Constant_3_output_0">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="507" name="/model.22/Reshape_3" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</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="/model.22/Reshape_3_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>6400</dim>
				</port>
			</output>
		</layer>
		<layer id="508" name="model.22.cv3.1.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 128, 3, 3" offset="5729306" size="184320" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.1.0.conv.weight">
					<dim>80</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="509" name="model.22.cv3.1.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="510" name="/model.22/cv3.1/cv3.1.0/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</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="511" name="Reshape_82275_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="5913626" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="512" name="Reshape_82275" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="513" name="/model.22/cv3.1/cv3.1.0/conv/Conv" 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="/model.22/cv3.1/cv3.1.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="514" name="/model.22/cv3.1/cv3.1.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.1/cv3.1.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="515" name="model.22.cv3.1.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 3, 3" offset="5913786" size="115200" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.1.1.conv.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="516" name="model.22.cv3.1.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="517" name="/model.22/cv3.1/cv3.1.1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</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="518" name="Reshape_82329_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="6028986" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="519" name="Reshape_82329" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="520" name="/model.22/cv3.1/cv3.1.1/conv/Conv" 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="/model.22/cv3.1/cv3.1.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="521" name="/model.22/cv3.1/cv3.1.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.1/cv3.1.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="522" name="model.22.cv3.1.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 1, 1" offset="6029146" size="12800" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.1.2.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="523" name="model.22.cv3.1.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="524" name="/model.22/cv3.1/cv3.1.2/Conv/WithoutBiases" 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>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</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="525" name="Reshape_82397_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="6041946" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="526" name="Reshape_82397" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="527" name="/model.22/cv3.1/cv3.1.2/Conv" 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="/model.22/cv3.1/cv3.1.2/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="528" name="/model.22/Reshape_4" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</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="/model.22/Reshape_4_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1600</dim>
				</port>
			</output>
		</layer>
		<layer id="529" name="model.22.cv3.2.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 256, 3, 3" offset="6042106" size="368640" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.2.0.conv.weight">
					<dim>80</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="530" name="model.22.cv3.2.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="531" name="/model.22/cv3.2/cv3.2.0/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</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="532" name="Reshape_82499_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="6410746" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="533" name="Reshape_82499" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="534" name="/model.22/cv3.2/cv3.2.0/conv/Conv" 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="/model.22/cv3.2/cv3.2.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="535" name="/model.22/cv3.2/cv3.2.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.2/cv3.2.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="536" name="model.22.cv3.2.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 3, 3" offset="6410906" size="115200" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.2.1.conv.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="537" name="model.22.cv3.2.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="538" name="/model.22/cv3.2/cv3.2.1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>3</dim>
					<dim>3</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="539" name="Reshape_82550_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="6526106" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="540" name="Reshape_82550" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="541" name="/model.22/cv3.2/cv3.2.1/conv/Conv" 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="/model.22/cv3.2/cv3.2.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="542" name="/model.22/cv3.2/cv3.2.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv3.2/cv3.2.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="543" name="model.22.cv3.2.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 80, 1, 1" offset="6526266" size="12800" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv3.2.2.weight">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="544" name="model.22.cv3.2.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="545" name="/model.22/cv3.2/cv3.2.2/Conv/WithoutBiases" 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>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>80</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="546" name="Reshape_82601_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="6539066" size="160" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="547" name="Reshape_82601" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="548" name="/model.22/cv3.2/cv3.2.2/Conv" 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="/model.22/cv3.2/cv3.2.2/Conv_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="549" name="/model.22/Reshape_5" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</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="/model.22/Reshape_5_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>400</dim>
				</port>
			</output>
		</layer>
		<layer id="550" name="/model.22/Concat_1" type="Concat" version="opset1">
			<data axis="-1" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>6400</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>1600</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>400</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.22/Concat_1_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="551" name="/model.22/Sigmoid" type="Sigmoid" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>80</dim>
					<dim>8400</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/Sigmoid_output_0">
					<dim>1</dim>
					<dim>80</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="552" name="model.22.cv4.0.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 64, 3, 3" offset="6539226" size="36864" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.0.0.conv.weight">
					<dim>32</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="553" name="model.22.cv4.0.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="554" name="/model.22/cv4.0/cv4.0.0/conv/Conv/WithoutBiases" 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>32</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="555" name="Reshape_81991_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6576090" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="556" name="Reshape_81991" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="557" name="/model.22/cv4.0/cv4.0.0/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.22/cv4.0/cv4.0.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="558" name="/model.22/cv4.0/cv4.0.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.0/cv4.0.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="559" name="model.22.cv4.0.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="6576154" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.0.1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="560" name="model.22.cv4.0.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="561" name="/model.22/cv4.0/cv4.0.1/conv/Conv/WithoutBiases" 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>80</dim>
					<dim>80</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>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="562" name="Reshape_82062_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6594586" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="563" name="Reshape_82062" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="564" name="/model.22/cv4.0/cv4.0.1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.22/cv4.0/cv4.0.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="565" name="/model.22/cv4.0/cv4.0.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.0/cv4.0.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="566" name="model.22.cv4.0.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 1, 1" offset="6594650" size="2048" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.0.2.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="567" name="model.22.cv4.0.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="568" name="/model.22/cv4.0/cv4.0.2/Conv/WithoutBiases" 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>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="569" name="Reshape_82152_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6596698" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="570" name="Reshape_82152" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="571" name="/model.22/cv4.0/cv4.0.2/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</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="/model.22/cv4.0/cv4.0.2/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>80</dim>
					<dim>80</dim>
				</port>
			</output>
		</layer>
		<layer id="572" name="/model.22/Constant_6_output_0" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="6596762" size="24" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64" names="/model.22/Constant_6_output_0">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="573" name="/model.22/Reshape_6" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</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="/model.22/Reshape_6_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>6400</dim>
				</port>
			</output>
		</layer>
		<layer id="574" name="model.22.cv4.1.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 128, 3, 3" offset="6596786" size="73728" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.1.0.conv.weight">
					<dim>32</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="575" name="model.22.cv4.1.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="576" name="/model.22/cv4.1/cv4.1.0/conv/Conv/WithoutBiases" 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>32</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="577" name="Reshape_82290_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6670514" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="578" name="Reshape_82290" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="579" name="/model.22/cv4.1/cv4.1.0/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</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="/model.22/cv4.1/cv4.1.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="580" name="/model.22/cv4.1/cv4.1.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.1/cv4.1.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="581" name="model.22.cv4.1.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="6670578" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.1.1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="582" name="model.22.cv4.1.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="583" name="/model.22/cv4.1/cv4.1.1/conv/Conv/WithoutBiases" 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>40</dim>
					<dim>40</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>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="584" name="Reshape_82344_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6689010" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="585" name="Reshape_82344" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="586" name="/model.22/cv4.1/cv4.1.1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</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="/model.22/cv4.1/cv4.1.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="587" name="/model.22/cv4.1/cv4.1.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.1/cv4.1.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="588" name="model.22.cv4.1.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 1, 1" offset="6689074" size="2048" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.1.2.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="589" name="model.22.cv4.1.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="590" name="/model.22/cv4.1/cv4.1.2/Conv/WithoutBiases" 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>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="591" name="Reshape_82412_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6691122" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="592" name="Reshape_82412" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="593" name="/model.22/cv4.1/cv4.1.2/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</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="/model.22/cv4.1/cv4.1.2/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>40</dim>
					<dim>40</dim>
				</port>
			</output>
		</layer>
		<layer id="594" name="/model.22/Reshape_7" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</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="/model.22/Reshape_7_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1600</dim>
				</port>
			</output>
		</layer>
		<layer id="595" name="model.22.cv4.2.0.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 256, 3, 3" offset="6691186" size="147456" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.2.0.conv.weight">
					<dim>32</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="596" name="model.22.cv4.2.0.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="597" name="/model.22/cv4.2/cv4.2.0/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="598" name="Reshape_82514_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6838642" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="599" name="Reshape_82514" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="600" name="/model.22/cv4.2/cv4.2.0/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</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="/model.22/cv4.2/cv4.2.0/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="601" name="/model.22/cv4.2/cv4.2.0/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.2/cv4.2.0/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="602" name="model.22.cv4.2.1.conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 3, 3" offset="6838706" size="18432" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.2.1.conv.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="603" name="model.22.cv4.2.1.conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="604" name="/model.22/cv4.2/cv4.2.1/conv/Conv/WithoutBiases" 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>20</dim>
					<dim>20</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>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="605" name="Reshape_82565_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6857138" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="606" name="Reshape_82565" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="607" name="/model.22/cv4.2/cv4.2.1/conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</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="/model.22/cv4.2/cv4.2.1/conv/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="608" name="/model.22/cv4.2/cv4.2.1/act/Mul" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="/model.22/cv4.2/cv4.2.1/act/Mul_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="609" name="model.22.cv4.2.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 32, 1, 1" offset="6857202" size="2048" />
			<output>
				<port id="0" precision="FP16" names="model.22.cv4.2.2.weight">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="610" name="model.22.cv4.2.2.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="611" name="/model.22/cv4.2/cv4.2.2/Conv/WithoutBiases" 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>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="612" name="Reshape_82616_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="6859250" size="64" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="613" name="Reshape_82616" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="614" name="/model.22/cv4.2/cv4.2.2/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</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="/model.22/cv4.2/cv4.2.2/Conv_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>20</dim>
					<dim>20</dim>
				</port>
			</output>
		</layer>
		<layer id="615" name="/model.22/Reshape_8" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</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="/model.22/Reshape_8_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>400</dim>
				</port>
			</output>
		</layer>
		<layer id="616" name="/model.22/Concat_2" type="Concat" version="opset1">
			<data axis="2" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>6400</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1600</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>400</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="/model.22/Concat_2_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="617" name="output0" 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>8400</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>8400</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="output0">
					<dim>1</dim>
					<dim>116</dim>
					<dim>8400</dim>
				</port>
			</output>
		</layer>
		<layer id="618" name="output0/sink_port_0" type="Result" version="opset1" output_names="output0">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>116</dim>
					<dim>8400</dim>
				</port>
			</input>
		</layer>
		<layer id="619" name="output1/sink_port_0" type="Result" version="opset1" output_names="output1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>160</dim>
					<dim>160</dim>
				</port>
			</input>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
		<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
		<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
		<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
		<edge from-layer="4" from-port="0" to-layer="5" to-port="0" />
		<edge from-layer="5" from-port="1" to-layer="6" to-port="1" />
		<edge from-layer="6" from-port="2" to-layer="7" to-port="0" />
		<edge from-layer="7" from-port="1" to-layer="10" to-port="0" />
		<edge from-layer="8" from-port="0" to-layer="9" to-port="0" />
		<edge from-layer="9" from-port="1" to-layer="10" to-port="1" />
		<edge from-layer="10" from-port="2" to-layer="13" to-port="0" />
		<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
		<edge from-layer="12" from-port="1" to-layer="13" to-port="1" />
		<edge from-layer="13" from-port="2" to-layer="14" to-port="0" />
		<edge from-layer="14" from-port="1" to-layer="17" to-port="0" />
		<edge from-layer="15" from-port="0" to-layer="16" to-port="0" />
		<edge from-layer="16" from-port="1" to-layer="17" to-port="1" />
		<edge from-layer="17" from-port="2" to-layer="20" to-port="0" />
		<edge from-layer="18" from-port="0" to-layer="19" to-port="0" />
		<edge from-layer="19" from-port="1" to-layer="20" to-port="1" />
		<edge from-layer="20" from-port="2" to-layer="21" to-port="0" />
		<edge from-layer="21" from-port="1" to-layer="24" to-port="0" />
		<edge from-layer="22" from-port="0" to-layer="24" to-port="1" />
		<edge from-layer="23" from-port="0" to-layer="24" to-port="2" />
		<edge from-layer="24" from-port="4" to-layer="27" to-port="0" />
		<edge from-layer="24" from-port="4" to-layer="39" to-port="0" />
		<edge from-layer="24" from-port="3" to-layer="40" to-port="0" />
		<edge from-layer="24" from-port="4" to-layer="40" to-port="1" />
		<edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
		<edge from-layer="26" from-port="1" to-layer="27" to-port="1" />
		<edge from-layer="27" from-port="2" to-layer="30" to-port="0" />
		<edge from-layer="28" from-port="0" to-layer="29" to-port="0" />
		<edge from-layer="29" from-port="1" to-layer="30" to-port="1" />
		<edge from-layer="30" from-port="2" to-layer="31" to-port="0" />
		<edge from-layer="31" from-port="1" to-layer="34" to-port="0" />
		<edge from-layer="32" from-port="0" to-layer="33" to-port="0" />
		<edge from-layer="33" from-port="1" to-layer="34" to-port="1" />
		<edge from-layer="34" from-port="2" to-layer="37" to-port="0" />
		<edge from-layer="35" from-port="0" to-layer="36" to-port="0" />
		<edge from-layer="36" from-port="1" to-layer="37" to-port="1" />
		<edge from-layer="37" from-port="2" to-layer="38" to-port="0" />
		<edge from-layer="38" from-port="1" to-layer="39" to-port="1" />
		<edge from-layer="39" from-port="2" to-layer="40" to-port="2" />
		<edge from-layer="40" from-port="3" to-layer="43" to-port="0" />
		<edge from-layer="41" from-port="0" to-layer="42" to-port="0" />
		<edge from-layer="42" from-port="1" to-layer="43" to-port="1" />
		<edge from-layer="43" from-port="2" to-layer="46" to-port="0" />
		<edge from-layer="44" from-port="0" to-layer="45" to-port="0" />
		<edge from-layer="45" from-port="1" to-layer="46" to-port="1" />
		<edge from-layer="46" from-port="2" to-layer="47" to-port="0" />
		<edge from-layer="47" from-port="1" to-layer="50" to-port="0" />
		<edge from-layer="48" from-port="0" to-layer="49" to-port="0" />
		<edge from-layer="49" from-port="1" to-layer="50" to-port="1" />
		<edge from-layer="50" from-port="2" to-layer="53" to-port="0" />
		<edge from-layer="51" from-port="0" to-layer="52" to-port="0" />
		<edge from-layer="52" from-port="1" to-layer="53" to-port="1" />
		<edge from-layer="53" from-port="2" to-layer="54" to-port="0" />
		<edge from-layer="54" from-port="1" to-layer="57" to-port="0" />
		<edge from-layer="55" from-port="0" to-layer="56" to-port="0" />
		<edge from-layer="56" from-port="1" to-layer="57" to-port="1" />
		<edge from-layer="57" from-port="2" to-layer="60" to-port="0" />
		<edge from-layer="58" from-port="0" to-layer="59" to-port="0" />
		<edge from-layer="59" from-port="1" to-layer="60" to-port="1" />
		<edge from-layer="60" from-port="2" to-layer="61" to-port="0" />
		<edge from-layer="61" from-port="1" 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="63" from-port="0" to-layer="260" to-port="2" />
		<edge from-layer="64" from-port="4" to-layer="67" to-port="0" />
		<edge from-layer="64" from-port="3" to-layer="95" to-port="0" />
		<edge from-layer="64" from-port="4" to-layer="95" to-port="1" />
		<edge from-layer="64" from-port="4" to-layer="79" to-port="0" />
		<edge from-layer="65" from-port="0" to-layer="66" to-port="0" />
		<edge from-layer="66" from-port="1" to-layer="67" to-port="1" />
		<edge from-layer="67" from-port="2" to-layer="70" to-port="0" />
		<edge from-layer="68" from-port="0" to-layer="69" to-port="0" />
		<edge from-layer="69" from-port="1" to-layer="70" to-port="1" />
		<edge from-layer="70" from-port="2" to-layer="71" to-port="0" />
		<edge from-layer="71" from-port="1" to-layer="74" to-port="0" />
		<edge from-layer="72" from-port="0" to-layer="73" to-port="0" />
		<edge from-layer="73" from-port="1" to-layer="74" to-port="1" />
		<edge from-layer="74" from-port="2" to-layer="77" to-port="0" />
		<edge from-layer="75" from-port="0" to-layer="76" to-port="0" />
		<edge from-layer="76" from-port="1" to-layer="77" to-port="1" />
		<edge from-layer="77" from-port="2" to-layer="78" to-port="0" />
		<edge from-layer="78" from-port="1" to-layer="79" to-port="1" />
		<edge from-layer="79" from-port="2" to-layer="82" to-port="0" />
		<edge from-layer="79" from-port="2" to-layer="95" to-port="2" />
		<edge from-layer="79" from-port="2" to-layer="94" to-port="0" />
		<edge from-layer="80" from-port="0" to-layer="81" to-port="0" />
		<edge from-layer="81" from-port="1" to-layer="82" to-port="1" />
		<edge from-layer="82" from-port="2" to-layer="85" to-port="0" />
		<edge from-layer="83" from-port="0" to-layer="84" to-port="0" />
		<edge from-layer="84" from-port="1" 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="88" to-port="0" />
		<edge from-layer="88" from-port="1" to-layer="89" to-port="1" />
		<edge from-layer="89" from-port="2" to-layer="92" to-port="0" />
		<edge from-layer="90" from-port="0" to-layer="91" to-port="0" />
		<edge from-layer="91" from-port="1" to-layer="92" to-port="1" />
		<edge from-layer="92" from-port="2" to-layer="93" to-port="0" />
		<edge from-layer="93" from-port="1" to-layer="94" to-port="1" />
		<edge from-layer="94" from-port="2" to-layer="95" to-port="3" />
		<edge from-layer="95" from-port="4" to-layer="98" to-port="0" />
		<edge from-layer="96" from-port="0" to-layer="97" to-port="0" />
		<edge from-layer="97" from-port="1" to-layer="98" to-port="1" />
		<edge from-layer="98" from-port="2" to-layer="101" to-port="0" />
		<edge from-layer="99" from-port="0" to-layer="100" to-port="0" />
		<edge from-layer="100" from-port="1" to-layer="101" to-port="1" />
		<edge from-layer="101" from-port="2" to-layer="102" to-port="0" />
		<edge from-layer="102" from-port="1" to-layer="105" to-port="0" />
		<edge from-layer="102" from-port="1" to-layer="251" to-port="1" />
		<edge from-layer="103" from-port="0" 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="108" to-port="0" />
		<edge from-layer="106" from-port="0" to-layer="107" to-port="0" />
		<edge from-layer="107" from-port="1" to-layer="108" to-port="1" />
		<edge from-layer="108" from-port="2" to-layer="109" to-port="0" />
		<edge from-layer="109" from-port="1" to-layer="112" to-port="0" />
		<edge from-layer="110" from-port="0" to-layer="111" to-port="0" />
		<edge from-layer="111" from-port="1" to-layer="112" to-port="1" />
		<edge from-layer="112" from-port="2" to-layer="115" to-port="0" />
		<edge from-layer="113" from-port="0" to-layer="114" to-port="0" />
		<edge from-layer="114" from-port="1" to-layer="115" to-port="1" />
		<edge from-layer="115" from-port="2" to-layer="116" to-port="0" />
		<edge from-layer="116" from-port="1" to-layer="119" to-port="0" />
		<edge from-layer="117" from-port="0" to-layer="119" to-port="1" />
		<edge from-layer="118" from-port="0" to-layer="119" to-port="2" />
		<edge from-layer="118" from-port="0" to-layer="227" to-port="2" />
		<edge from-layer="118" from-port="0" to-layer="350" to-port="2" />
		<edge from-layer="119" from-port="4" to-layer="122" to-port="0" />
		<edge from-layer="119" from-port="4" to-layer="150" to-port="1" />
		<edge from-layer="119" from-port="3" to-layer="150" to-port="0" />
		<edge from-layer="119" from-port="4" to-layer="134" to-port="0" />
		<edge from-layer="120" from-port="0" 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="125" to-port="0" />
		<edge from-layer="123" from-port="0" to-layer="124" to-port="0" />
		<edge from-layer="124" from-port="1" to-layer="125" to-port="1" />
		<edge from-layer="125" from-port="2" to-layer="126" to-port="0" />
		<edge from-layer="126" from-port="1" to-layer="129" to-port="0" />
		<edge from-layer="127" from-port="0" to-layer="128" to-port="0" />
		<edge from-layer="128" from-port="1" to-layer="129" to-port="1" />
		<edge from-layer="129" from-port="2" to-layer="132" to-port="0" />
		<edge from-layer="130" from-port="0" to-layer="131" to-port="0" />
		<edge from-layer="131" from-port="1" 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="134" to-port="1" />
		<edge from-layer="134" from-port="2" to-layer="149" to-port="0" />
		<edge from-layer="134" from-port="2" to-layer="150" to-port="2" />
		<edge from-layer="134" from-port="2" to-layer="137" to-port="0" />
		<edge from-layer="135" from-port="0" to-layer="136" to-port="0" />
		<edge from-layer="136" from-port="1" to-layer="137" to-port="1" />
		<edge from-layer="137" from-port="2" to-layer="140" to-port="0" />
		<edge from-layer="138" from-port="0" to-layer="139" to-port="0" />
		<edge from-layer="139" from-port="1" to-layer="140" to-port="1" />
		<edge from-layer="140" from-port="2" to-layer="141" to-port="0" />
		<edge from-layer="141" from-port="1" to-layer="144" to-port="0" />
		<edge from-layer="142" from-port="0" to-layer="143" to-port="0" />
		<edge from-layer="143" from-port="1" to-layer="144" to-port="1" />
		<edge from-layer="144" from-port="2" to-layer="147" to-port="0" />
		<edge from-layer="145" from-port="0" to-layer="146" to-port="0" />
		<edge from-layer="146" from-port="1" to-layer="147" to-port="1" />
		<edge from-layer="147" from-port="2" to-layer="148" to-port="0" />
		<edge from-layer="148" from-port="1" to-layer="149" to-port="1" />
		<edge from-layer="149" from-port="2" to-layer="150" to-port="3" />
		<edge from-layer="150" from-port="4" to-layer="153" to-port="0" />
		<edge from-layer="151" from-port="0" to-layer="152" to-port="0" />
		<edge from-layer="152" from-port="1" to-layer="153" to-port="1" />
		<edge from-layer="153" from-port="2" to-layer="156" to-port="0" />
		<edge from-layer="154" from-port="0" to-layer="155" to-port="0" />
		<edge from-layer="155" from-port="1" to-layer="156" to-port="1" />
		<edge from-layer="156" from-port="2" to-layer="157" to-port="0" />
		<edge from-layer="157" from-port="1" to-layer="160" to-port="0" />
		<edge from-layer="157" from-port="1" to-layer="218" to-port="1" />
		<edge from-layer="158" from-port="0" to-layer="159" to-port="0" />
		<edge from-layer="159" from-port="1" to-layer="160" to-port="1" />
		<edge from-layer="160" from-port="2" to-layer="163" to-port="0" />
		<edge from-layer="161" from-port="0" to-layer="162" to-port="0" />
		<edge from-layer="162" from-port="1" to-layer="163" to-port="1" />
		<edge from-layer="163" from-port="2" to-layer="164" to-port="0" />
		<edge from-layer="164" from-port="1" to-layer="167" to-port="0" />
		<edge from-layer="165" from-port="0" to-layer="166" to-port="0" />
		<edge from-layer="166" from-port="1" to-layer="167" to-port="1" />
		<edge from-layer="167" from-port="2" to-layer="170" to-port="0" />
		<edge from-layer="168" from-port="0" to-layer="169" to-port="0" />
		<edge from-layer="169" from-port="1" to-layer="170" to-port="1" />
		<edge from-layer="170" from-port="2" to-layer="171" to-port="0" />
		<edge from-layer="171" from-port="1" to-layer="174" to-port="0" />
		<edge from-layer="172" from-port="0" to-layer="174" to-port="1" />
		<edge from-layer="173" from-port="0" to-layer="174" to-port="2" />
		<edge from-layer="173" from-port="0" to-layer="410" to-port="2" />
		<edge from-layer="174" from-port="4" to-layer="190" to-port="1" />
		<edge from-layer="174" from-port="4" to-layer="189" to-port="0" />
		<edge from-layer="174" from-port="3" to-layer="190" to-port="0" />
		<edge from-layer="174" from-port="4" to-layer="177" to-port="0" />
		<edge from-layer="175" from-port="0" to-layer="176" to-port="0" />
		<edge from-layer="176" from-port="1" to-layer="177" to-port="1" />
		<edge from-layer="177" from-port="2" to-layer="180" to-port="0" />
		<edge from-layer="178" from-port="0" to-layer="179" to-port="0" />
		<edge from-layer="179" from-port="1" to-layer="180" to-port="1" />
		<edge from-layer="180" from-port="2" to-layer="181" to-port="0" />
		<edge from-layer="181" from-port="1" to-layer="184" to-port="0" />
		<edge from-layer="182" from-port="0" to-layer="183" to-port="0" />
		<edge from-layer="183" from-port="1" to-layer="184" to-port="1" />
		<edge from-layer="184" from-port="2" to-layer="187" to-port="0" />
		<edge from-layer="185" from-port="0" to-layer="186" to-port="0" />
		<edge from-layer="186" from-port="1" to-layer="187" to-port="1" />
		<edge from-layer="187" from-port="2" to-layer="188" to-port="0" />
		<edge from-layer="188" from-port="1" to-layer="189" to-port="1" />
		<edge from-layer="189" from-port="2" to-layer="190" to-port="2" />
		<edge from-layer="190" from-port="3" to-layer="193" to-port="0" />
		<edge from-layer="191" from-port="0" to-layer="192" to-port="0" />
		<edge from-layer="192" from-port="1" to-layer="193" to-port="1" />
		<edge from-layer="193" from-port="2" to-layer="196" to-port="0" />
		<edge from-layer="194" from-port="0" to-layer="195" to-port="0" />
		<edge from-layer="195" from-port="1" to-layer="196" to-port="1" />
		<edge from-layer="196" from-port="2" to-layer="197" to-port="0" />
		<edge from-layer="197" from-port="1" to-layer="200" to-port="0" />
		<edge from-layer="198" from-port="0" to-layer="199" to-port="0" />
		<edge from-layer="199" from-port="1" to-layer="200" to-port="1" />
		<edge from-layer="200" from-port="2" to-layer="203" to-port="0" />
		<edge from-layer="201" from-port="0" to-layer="202" to-port="0" />
		<edge from-layer="202" from-port="1" to-layer="203" to-port="1" />
		<edge from-layer="203" from-port="2" to-layer="204" to-port="0" />
		<edge from-layer="204" from-port="1" to-layer="208" to-port="0" />
		<edge from-layer="204" from-port="1" to-layer="205" to-port="0" />
		<edge from-layer="205" from-port="1" to-layer="206" to-port="0" />
		<edge from-layer="205" from-port="1" to-layer="208" to-port="1" />
		<edge from-layer="206" from-port="1" to-layer="208" to-port="2" />
		<edge from-layer="206" from-port="1" to-layer="207" to-port="0" />
		<edge from-layer="207" from-port="1" to-layer="208" to-port="3" />
		<edge from-layer="208" from-port="4" to-layer="211" to-port="0" />
		<edge from-layer="209" from-port="0" to-layer="210" to-port="0" />
		<edge from-layer="210" from-port="1" to-layer="211" to-port="1" />
		<edge from-layer="211" from-port="2" to-layer="214" to-port="0" />
		<edge from-layer="212" from-port="0" to-layer="213" to-port="0" />
		<edge from-layer="213" from-port="1" to-layer="214" to-port="1" />
		<edge from-layer="214" from-port="2" to-layer="215" to-port="0" />
		<edge from-layer="215" from-port="1" to-layer="217" to-port="0" />
		<edge from-layer="215" from-port="1" to-layer="401" to-port="1" />
		<edge from-layer="216" from-port="0" to-layer="250" to-port="1" />
		<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="2" to-layer="221" to-port="0" />
		<edge from-layer="219" from-port="0" to-layer="220" to-port="0" />
		<edge from-layer="220" from-port="1" to-layer="221" to-port="1" />
		<edge from-layer="221" from-port="2" to-layer="224" to-port="0" />
		<edge from-layer="222" from-port="0" to-layer="223" to-port="0" />
		<edge from-layer="223" from-port="1" to-layer="224" to-port="1" />
		<edge from-layer="224" from-port="2" to-layer="225" to-port="0" />
		<edge from-layer="225" from-port="1" to-layer="227" to-port="0" />
		<edge from-layer="226" from-port="0" to-layer="227" to-port="1" />
		<edge from-layer="227" from-port="4" to-layer="230" to-port="0" />
		<edge from-layer="227" from-port="3" to-layer="242" to-port="0" />
		<edge from-layer="227" from-port="4" to-layer="242" to-port="1" />
		<edge from-layer="228" from-port="0" 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="233" to-port="0" />
		<edge from-layer="231" from-port="0" to-layer="232" to-port="0" />
		<edge from-layer="232" from-port="1" to-layer="233" to-port="1" />
		<edge from-layer="233" from-port="2" to-layer="234" to-port="0" />
		<edge from-layer="234" from-port="1" to-layer="237" to-port="0" />
		<edge from-layer="235" from-port="0" to-layer="236" to-port="0" />
		<edge from-layer="236" from-port="1" to-layer="237" to-port="1" />
		<edge from-layer="237" from-port="2" to-layer="240" to-port="0" />
		<edge from-layer="238" from-port="0" to-layer="239" to-port="0" />
		<edge from-layer="239" from-port="1" 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="245" to-port="0" />
		<edge from-layer="243" from-port="0" to-layer="244" to-port="0" />
		<edge from-layer="244" from-port="1" to-layer="245" to-port="1" />
		<edge from-layer="245" from-port="2" to-layer="248" to-port="0" />
		<edge from-layer="246" from-port="0" to-layer="247" to-port="0" />
		<edge from-layer="247" from-port="1" to-layer="248" to-port="1" />
		<edge from-layer="248" from-port="2" to-layer="249" to-port="0" />
		<edge from-layer="249" from-port="1" to-layer="250" to-port="0" />
		<edge from-layer="249" from-port="1" to-layer="341" to-port="1" />
		<edge from-layer="250" from-port="2" to-layer="251" to-port="0" />
		<edge from-layer="251" from-port="2" to-layer="254" to-port="0" />
		<edge from-layer="252" from-port="0" to-layer="253" to-port="0" />
		<edge from-layer="253" from-port="1" to-layer="254" to-port="1" />
		<edge from-layer="254" from-port="2" to-layer="257" to-port="0" />
		<edge from-layer="255" from-port="0" to-layer="256" to-port="0" />
		<edge from-layer="256" from-port="1" to-layer="257" to-port="1" />
		<edge from-layer="257" from-port="2" to-layer="258" to-port="0" />
		<edge from-layer="258" from-port="1" to-layer="260" to-port="0" />
		<edge from-layer="259" from-port="0" to-layer="260" to-port="1" />
		<edge from-layer="260" from-port="4" to-layer="263" to-port="0" />
		<edge from-layer="260" from-port="4" to-layer="275" to-port="1" />
		<edge from-layer="260" from-port="3" to-layer="275" to-port="0" />
		<edge from-layer="261" from-port="0" to-layer="262" to-port="0" />
		<edge from-layer="262" from-port="1" to-layer="263" to-port="1" />
		<edge from-layer="263" from-port="2" to-layer="266" to-port="0" />
		<edge from-layer="264" from-port="0" to-layer="265" to-port="0" />
		<edge from-layer="265" from-port="1" to-layer="266" to-port="1" />
		<edge from-layer="266" from-port="2" to-layer="267" to-port="0" />
		<edge from-layer="267" from-port="1" to-layer="270" to-port="0" />
		<edge from-layer="268" from-port="0" to-layer="269" to-port="0" />
		<edge from-layer="269" from-port="1" to-layer="270" to-port="1" />
		<edge from-layer="270" from-port="2" to-layer="273" to-port="0" />
		<edge from-layer="271" from-port="0" to-layer="272" to-port="0" />
		<edge from-layer="272" from-port="1" to-layer="273" to-port="1" />
		<edge from-layer="273" from-port="2" to-layer="274" to-port="0" />
		<edge from-layer="274" from-port="1" to-layer="275" to-port="2" />
		<edge from-layer="275" from-port="3" to-layer="278" to-port="0" />
		<edge from-layer="276" from-port="0" to-layer="277" to-port="0" />
		<edge from-layer="277" from-port="1" to-layer="278" to-port="1" />
		<edge from-layer="278" from-port="2" to-layer="281" to-port="0" />
		<edge from-layer="279" from-port="0" to-layer="280" to-port="0" />
		<edge from-layer="280" from-port="1" to-layer="281" to-port="1" />
		<edge from-layer="281" from-port="2" to-layer="282" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="336" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="554" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="488" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="314" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="285" to-port="0" />
		<edge from-layer="283" from-port="0" to-layer="284" to-port="0" />
		<edge from-layer="284" from-port="1" to-layer="285" to-port="1" />
		<edge from-layer="285" from-port="2" to-layer="288" to-port="0" />
		<edge from-layer="286" from-port="0" to-layer="287" to-port="0" />
		<edge from-layer="287" from-port="1" to-layer="288" to-port="1" />
		<edge from-layer="288" from-port="2" to-layer="289" to-port="0" />
		<edge from-layer="289" from-port="1" to-layer="292" to-port="0" />
		<edge from-layer="290" from-port="0" to-layer="291" to-port="0" />
		<edge from-layer="291" from-port="1" to-layer="292" to-port="1" />
		<edge from-layer="292" from-port="2" to-layer="295" to-port="0" />
		<edge from-layer="293" from-port="0" to-layer="294" to-port="0" />
		<edge from-layer="294" from-port="1" to-layer="295" to-port="1" />
		<edge from-layer="295" from-port="2" to-layer="298" to-port="0" />
		<edge from-layer="296" from-port="0" to-layer="297" to-port="0" />
		<edge from-layer="297" from-port="1" to-layer="298" to-port="1" />
		<edge from-layer="298" from-port="2" to-layer="301" to-port="0" />
		<edge from-layer="299" from-port="0" to-layer="300" to-port="0" />
		<edge from-layer="300" from-port="1" to-layer="301" to-port="1" />
		<edge from-layer="301" from-port="2" to-layer="302" to-port="0" />
		<edge from-layer="302" from-port="1" to-layer="305" to-port="0" />
		<edge from-layer="303" from-port="0" to-layer="304" to-port="0" />
		<edge from-layer="304" from-port="1" to-layer="305" to-port="1" />
		<edge from-layer="305" from-port="2" to-layer="308" to-port="0" />
		<edge from-layer="306" from-port="0" to-layer="307" to-port="0" />
		<edge from-layer="307" from-port="1" 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="619" to-port="0" />
		<edge from-layer="310" from-port="0" to-layer="311" to-port="0" />
		<edge from-layer="311" from-port="1" to-layer="470" to-port="0" />
		<edge from-layer="312" from-port="0" to-layer="313" to-port="0" />
		<edge from-layer="313" from-port="1" to-layer="314" to-port="1" />
		<edge from-layer="314" from-port="2" to-layer="317" to-port="0" />
		<edge from-layer="315" from-port="0" to-layer="316" to-port="0" />
		<edge from-layer="316" from-port="1" 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="321" to-port="0" />
		<edge from-layer="319" from-port="0" to-layer="320" to-port="0" />
		<edge from-layer="320" from-port="1" to-layer="321" to-port="1" />
		<edge from-layer="321" from-port="2" to-layer="324" to-port="0" />
		<edge from-layer="322" from-port="0" to-layer="323" to-port="0" />
		<edge from-layer="323" from-port="1" to-layer="324" to-port="1" />
		<edge from-layer="324" from-port="2" to-layer="325" to-port="0" />
		<edge from-layer="325" from-port="1" to-layer="328" to-port="0" />
		<edge from-layer="326" from-port="0" to-layer="327" to-port="0" />
		<edge from-layer="327" from-port="1" to-layer="328" to-port="1" />
		<edge from-layer="328" from-port="2" to-layer="331" to-port="0" />
		<edge from-layer="329" from-port="0" to-layer="330" to-port="0" />
		<edge from-layer="330" from-port="1" to-layer="331" to-port="1" />
		<edge from-layer="331" from-port="2" to-layer="333" to-port="0" />
		<edge from-layer="332" from-port="0" to-layer="453" to-port="1" />
		<edge from-layer="332" from-port="0" to-layer="393" to-port="1" />
		<edge from-layer="332" from-port="0" to-layer="333" to-port="1" />
		<edge from-layer="333" from-port="2" to-layer="454" to-port="0" />
		<edge from-layer="334" from-port="0" to-layer="335" to-port="0" />
		<edge from-layer="335" from-port="1" to-layer="336" to-port="1" />
		<edge from-layer="336" from-port="2" to-layer="339" to-port="0" />
		<edge from-layer="337" from-port="0" to-layer="338" to-port="0" />
		<edge from-layer="338" from-port="1" to-layer="339" to-port="1" />
		<edge from-layer="339" from-port="2" to-layer="340" to-port="0" />
		<edge from-layer="340" from-port="1" to-layer="341" to-port="0" />
		<edge from-layer="341" from-port="2" to-layer="344" to-port="0" />
		<edge from-layer="342" from-port="0" to-layer="343" to-port="0" />
		<edge from-layer="343" from-port="1" to-layer="344" to-port="1" />
		<edge from-layer="344" from-port="2" to-layer="347" to-port="0" />
		<edge from-layer="345" from-port="0" to-layer="346" to-port="0" />
		<edge from-layer="346" from-port="1" to-layer="347" to-port="1" />
		<edge from-layer="347" from-port="2" to-layer="348" to-port="0" />
		<edge from-layer="348" from-port="1" to-layer="350" to-port="0" />
		<edge from-layer="349" from-port="0" to-layer="350" to-port="1" />
		<edge from-layer="350" from-port="4" to-layer="353" to-port="0" />
		<edge from-layer="350" from-port="3" to-layer="365" to-port="0" />
		<edge from-layer="350" from-port="4" to-layer="365" to-port="1" />
		<edge from-layer="351" from-port="0" to-layer="352" to-port="0" />
		<edge from-layer="352" from-port="1" to-layer="353" to-port="1" />
		<edge from-layer="353" from-port="2" to-layer="356" to-port="0" />
		<edge from-layer="354" from-port="0" to-layer="355" to-port="0" />
		<edge from-layer="355" from-port="1" to-layer="356" to-port="1" />
		<edge from-layer="356" from-port="2" to-layer="357" to-port="0" />
		<edge from-layer="357" from-port="1" to-layer="360" to-port="0" />
		<edge from-layer="358" from-port="0" to-layer="359" to-port="0" />
		<edge from-layer="359" from-port="1" to-layer="360" to-port="1" />
		<edge from-layer="360" from-port="2" to-layer="363" to-port="0" />
		<edge from-layer="361" from-port="0" to-layer="362" to-port="0" />
		<edge from-layer="362" from-port="1" to-layer="363" to-port="1" />
		<edge from-layer="363" from-port="2" to-layer="364" to-port="0" />
		<edge from-layer="364" from-port="1" to-layer="365" to-port="2" />
		<edge from-layer="365" from-port="3" to-layer="368" to-port="0" />
		<edge from-layer="366" from-port="0" to-layer="367" to-port="0" />
		<edge from-layer="367" from-port="1" to-layer="368" to-port="1" />
		<edge from-layer="368" from-port="2" to-layer="371" to-port="0" />
		<edge from-layer="369" from-port="0" to-layer="370" to-port="0" />
		<edge from-layer="370" from-port="1" to-layer="371" to-port="1" />
		<edge from-layer="371" from-port="2" to-layer="372" to-port="0" />
		<edge from-layer="372" from-port="1" to-layer="375" to-port="0" />
		<edge from-layer="372" from-port="1" to-layer="576" to-port="0" />
		<edge from-layer="372" from-port="1" to-layer="510" to-port="0" />
		<edge from-layer="372" from-port="1" to-layer="396" to-port="0" />
		<edge from-layer="373" from-port="0" to-layer="374" to-port="0" />
		<edge from-layer="374" from-port="1" to-layer="375" to-port="1" />
		<edge from-layer="375" from-port="2" to-layer="378" to-port="0" />
		<edge from-layer="376" from-port="0" to-layer="377" to-port="0" />
		<edge from-layer="377" from-port="1" 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="381" to-port="0" />
		<edge from-layer="381" from-port="1" to-layer="382" to-port="1" />
		<edge from-layer="382" from-port="2" to-layer="385" to-port="0" />
		<edge from-layer="383" from-port="0" to-layer="384" to-port="0" />
		<edge from-layer="384" from-port="1" to-layer="385" to-port="1" />
		<edge from-layer="385" from-port="2" to-layer="386" to-port="0" />
		<edge from-layer="386" from-port="1" to-layer="389" to-port="0" />
		<edge from-layer="387" from-port="0" to-layer="388" to-port="0" />
		<edge from-layer="388" from-port="1" to-layer="389" to-port="1" />
		<edge from-layer="389" from-port="2" to-layer="392" to-port="0" />
		<edge from-layer="390" from-port="0" to-layer="391" to-port="0" />
		<edge from-layer="391" from-port="1" to-layer="392" to-port="1" />
		<edge from-layer="392" from-port="2" to-layer="393" to-port="0" />
		<edge from-layer="393" from-port="2" to-layer="454" to-port="1" />
		<edge from-layer="394" from-port="0" to-layer="395" to-port="0" />
		<edge from-layer="395" from-port="1" to-layer="396" to-port="1" />
		<edge from-layer="396" from-port="2" to-layer="399" to-port="0" />
		<edge from-layer="397" from-port="0" to-layer="398" to-port="0" />
		<edge from-layer="398" from-port="1" to-layer="399" to-port="1" />
		<edge from-layer="399" from-port="2" to-layer="400" to-port="0" />
		<edge from-layer="400" from-port="1" to-layer="401" to-port="0" />
		<edge from-layer="401" from-port="2" to-layer="404" to-port="0" />
		<edge from-layer="402" from-port="0" to-layer="403" to-port="0" />
		<edge from-layer="403" from-port="1" to-layer="404" to-port="1" />
		<edge from-layer="404" from-port="2" to-layer="407" to-port="0" />
		<edge from-layer="405" from-port="0" to-layer="406" to-port="0" />
		<edge from-layer="406" from-port="1" 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="410" to-port="0" />
		<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
		<edge from-layer="410" from-port="4" to-layer="413" to-port="0" />
		<edge from-layer="410" from-port="4" to-layer="425" to-port="1" />
		<edge from-layer="410" from-port="3" to-layer="425" to-port="0" />
		<edge from-layer="411" from-port="0" to-layer="412" to-port="0" />
		<edge from-layer="412" from-port="1" to-layer="413" to-port="1" />
		<edge from-layer="413" from-port="2" to-layer="416" to-port="0" />
		<edge from-layer="414" from-port="0" to-layer="415" to-port="0" />
		<edge from-layer="415" from-port="1" to-layer="416" to-port="1" />
		<edge from-layer="416" from-port="2" to-layer="417" to-port="0" />
		<edge from-layer="417" from-port="1" to-layer="420" to-port="0" />
		<edge from-layer="418" from-port="0" to-layer="419" to-port="0" />
		<edge from-layer="419" from-port="1" to-layer="420" to-port="1" />
		<edge from-layer="420" from-port="2" to-layer="423" to-port="0" />
		<edge from-layer="421" from-port="0" to-layer="422" to-port="0" />
		<edge from-layer="422" from-port="1" to-layer="423" to-port="1" />
		<edge from-layer="423" from-port="2" to-layer="424" to-port="0" />
		<edge from-layer="424" from-port="1" to-layer="425" to-port="2" />
		<edge from-layer="425" from-port="3" to-layer="428" to-port="0" />
		<edge from-layer="426" from-port="0" to-layer="427" to-port="0" />
		<edge from-layer="427" from-port="1" to-layer="428" to-port="1" />
		<edge from-layer="428" from-port="2" to-layer="431" to-port="0" />
		<edge from-layer="429" from-port="0" to-layer="430" to-port="0" />
		<edge from-layer="430" from-port="1" to-layer="431" to-port="1" />
		<edge from-layer="431" from-port="2" to-layer="432" to-port="0" />
		<edge from-layer="432" from-port="1" to-layer="435" to-port="0" />
		<edge from-layer="432" from-port="1" to-layer="597" to-port="0" />
		<edge from-layer="432" from-port="1" to-layer="531" to-port="0" />
		<edge from-layer="433" from-port="0" to-layer="434" to-port="0" />
		<edge from-layer="434" from-port="1" to-layer="435" to-port="1" />
		<edge from-layer="435" from-port="2" to-layer="438" to-port="0" />
		<edge from-layer="436" from-port="0" to-layer="437" to-port="0" />
		<edge from-layer="437" from-port="1" to-layer="438" to-port="1" />
		<edge from-layer="438" from-port="2" to-layer="439" to-port="0" />
		<edge from-layer="439" from-port="1" to-layer="442" to-port="0" />
		<edge from-layer="440" from-port="0" to-layer="441" to-port="0" />
		<edge from-layer="441" from-port="1" to-layer="442" to-port="1" />
		<edge from-layer="442" from-port="2" to-layer="445" to-port="0" />
		<edge from-layer="443" from-port="0" to-layer="444" to-port="0" />
		<edge from-layer="444" from-port="1" to-layer="445" to-port="1" />
		<edge from-layer="445" from-port="2" to-layer="446" to-port="0" />
		<edge from-layer="446" from-port="1" to-layer="449" to-port="0" />
		<edge from-layer="447" from-port="0" to-layer="448" to-port="0" />
		<edge from-layer="448" from-port="1" to-layer="449" to-port="1" />
		<edge from-layer="449" from-port="2" to-layer="452" to-port="0" />
		<edge from-layer="450" from-port="0" to-layer="451" to-port="0" />
		<edge from-layer="451" from-port="1" 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="2" to-layer="454" to-port="2" />
		<edge from-layer="454" from-port="3" to-layer="456" 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="462" to-port="0" />
		<edge from-layer="460" from-port="0" to-layer="461" to-port="0" />
		<edge from-layer="461" from-port="1" to-layer="462" to-port="1" />
		<edge from-layer="462" from-port="2" to-layer="464" to-port="0" />
		<edge from-layer="463" from-port="0" to-layer="464" to-port="1" />
		<edge from-layer="464" from-port="2" to-layer="469" to-port="0" />
		<edge from-layer="464" from-port="2" to-layer="475" to-port="0" />
		<edge from-layer="465" from-port="0" to-layer="469" to-port="1" />
		<edge from-layer="466" from-port="0" to-layer="469" to-port="2" />
		<edge from-layer="466" from-port="0" to-layer="475" to-port="1" />
		<edge from-layer="467" from-port="0" to-layer="469" to-port="3" />
		<edge from-layer="468" from-port="0" to-layer="469" to-port="4" />
		<edge from-layer="468" from-port="0" to-layer="475" to-port="4" />
		<edge from-layer="469" from-port="5" to-layer="470" to-port="1" />
		<edge from-layer="470" from-port="2" to-layer="477" to-port="0" />
		<edge from-layer="470" from-port="2" to-layer="481" to-port="1" />
		<edge from-layer="471" from-port="0" to-layer="472" to-port="0" />
		<edge from-layer="472" from-port="1" to-layer="476" to-port="0" />
		<edge from-layer="473" from-port="0" to-layer="475" to-port="2" />
		<edge from-layer="474" from-port="0" to-layer="475" to-port="3" />
		<edge from-layer="475" from-port="5" to-layer="476" to-port="1" />
		<edge from-layer="476" from-port="2" to-layer="481" to-port="0" />
		<edge from-layer="476" from-port="2" to-layer="477" to-port="1" />
		<edge from-layer="477" from-port="2" to-layer="480" to-port="0" />
		<edge from-layer="478" from-port="0" to-layer="479" to-port="0" />
		<edge from-layer="479" from-port="1" to-layer="480" to-port="1" />
		<edge from-layer="480" from-port="2" to-layer="482" to-port="0" />
		<edge from-layer="481" from-port="2" to-layer="482" to-port="1" />
		<edge from-layer="482" from-port="2" to-layer="485" to-port="0" />
		<edge from-layer="483" from-port="0" to-layer="484" to-port="0" />
		<edge from-layer="484" from-port="1" to-layer="485" to-port="1" />
		<edge from-layer="485" from-port="2" to-layer="617" to-port="0" />
		<edge from-layer="486" from-port="0" to-layer="487" to-port="0" />
		<edge from-layer="487" from-port="1" to-layer="488" to-port="1" />
		<edge from-layer="488" from-port="2" to-layer="491" to-port="0" />
		<edge from-layer="489" from-port="0" to-layer="490" to-port="0" />
		<edge from-layer="490" from-port="1" 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="495" to-port="0" />
		<edge from-layer="493" from-port="0" to-layer="494" to-port="0" />
		<edge from-layer="494" from-port="1" to-layer="495" to-port="1" />
		<edge from-layer="495" from-port="2" to-layer="498" to-port="0" />
		<edge from-layer="496" from-port="0" to-layer="497" to-port="0" />
		<edge from-layer="497" from-port="1" to-layer="498" to-port="1" />
		<edge from-layer="498" from-port="2" to-layer="499" to-port="0" />
		<edge from-layer="499" from-port="1" to-layer="502" to-port="0" />
		<edge from-layer="500" from-port="0" to-layer="501" to-port="0" />
		<edge from-layer="501" from-port="1" to-layer="502" to-port="1" />
		<edge from-layer="502" from-port="2" to-layer="505" to-port="0" />
		<edge from-layer="503" from-port="0" to-layer="504" to-port="0" />
		<edge from-layer="504" from-port="1" to-layer="505" to-port="1" />
		<edge from-layer="505" from-port="2" to-layer="507" to-port="0" />
		<edge from-layer="506" from-port="0" to-layer="528" to-port="1" />
		<edge from-layer="506" from-port="0" to-layer="507" to-port="1" />
		<edge from-layer="506" from-port="0" to-layer="549" to-port="1" />
		<edge from-layer="507" from-port="2" to-layer="550" to-port="0" />
		<edge from-layer="508" from-port="0" to-layer="509" to-port="0" />
		<edge from-layer="509" from-port="1" to-layer="510" to-port="1" />
		<edge from-layer="510" from-port="2" to-layer="513" to-port="0" />
		<edge from-layer="511" from-port="0" to-layer="512" to-port="0" />
		<edge from-layer="512" from-port="1" to-layer="513" to-port="1" />
		<edge from-layer="513" from-port="2" to-layer="514" to-port="0" />
		<edge from-layer="514" from-port="1" to-layer="517" to-port="0" />
		<edge from-layer="515" from-port="0" to-layer="516" to-port="0" />
		<edge from-layer="516" from-port="1" to-layer="517" to-port="1" />
		<edge from-layer="517" from-port="2" to-layer="520" to-port="0" />
		<edge from-layer="518" from-port="0" to-layer="519" to-port="0" />
		<edge from-layer="519" from-port="1" to-layer="520" to-port="1" />
		<edge from-layer="520" from-port="2" to-layer="521" to-port="0" />
		<edge from-layer="521" from-port="1" to-layer="524" to-port="0" />
		<edge from-layer="522" from-port="0" to-layer="523" to-port="0" />
		<edge from-layer="523" from-port="1" to-layer="524" to-port="1" />
		<edge from-layer="524" from-port="2" to-layer="527" to-port="0" />
		<edge from-layer="525" from-port="0" to-layer="526" to-port="0" />
		<edge from-layer="526" from-port="1" 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="2" to-layer="550" to-port="1" />
		<edge from-layer="529" from-port="0" to-layer="530" to-port="0" />
		<edge from-layer="530" from-port="1" to-layer="531" to-port="1" />
		<edge from-layer="531" from-port="2" to-layer="534" to-port="0" />
		<edge from-layer="532" from-port="0" to-layer="533" to-port="0" />
		<edge from-layer="533" from-port="1" to-layer="534" to-port="1" />
		<edge from-layer="534" from-port="2" to-layer="535" to-port="0" />
		<edge from-layer="535" from-port="1" to-layer="538" to-port="0" />
		<edge from-layer="536" from-port="0" to-layer="537" to-port="0" />
		<edge from-layer="537" from-port="1" to-layer="538" to-port="1" />
		<edge from-layer="538" from-port="2" to-layer="541" to-port="0" />
		<edge from-layer="539" from-port="0" to-layer="540" to-port="0" />
		<edge from-layer="540" from-port="1" 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="545" to-port="0" />
		<edge from-layer="543" from-port="0" to-layer="544" to-port="0" />
		<edge from-layer="544" from-port="1" to-layer="545" to-port="1" />
		<edge from-layer="545" from-port="2" to-layer="548" to-port="0" />
		<edge from-layer="546" from-port="0" to-layer="547" to-port="0" />
		<edge from-layer="547" from-port="1" to-layer="548" to-port="1" />
		<edge from-layer="548" from-port="2" to-layer="549" to-port="0" />
		<edge from-layer="549" from-port="2" to-layer="550" to-port="2" />
		<edge from-layer="550" from-port="3" to-layer="551" to-port="0" />
		<edge from-layer="551" from-port="1" to-layer="617" to-port="1" />
		<edge from-layer="552" from-port="0" to-layer="553" to-port="0" />
		<edge from-layer="553" from-port="1" to-layer="554" to-port="1" />
		<edge from-layer="554" from-port="2" to-layer="557" to-port="0" />
		<edge from-layer="555" from-port="0" to-layer="556" to-port="0" />
		<edge from-layer="556" from-port="1" 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="561" to-port="0" />
		<edge from-layer="559" from-port="0" to-layer="560" to-port="0" />
		<edge from-layer="560" from-port="1" to-layer="561" to-port="1" />
		<edge from-layer="561" from-port="2" to-layer="564" to-port="0" />
		<edge from-layer="562" from-port="0" 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="565" to-port="0" />
		<edge from-layer="565" from-port="1" to-layer="568" to-port="0" />
		<edge from-layer="566" from-port="0" to-layer="567" to-port="0" />
		<edge from-layer="567" from-port="1" to-layer="568" to-port="1" />
		<edge from-layer="568" from-port="2" to-layer="571" to-port="0" />
		<edge from-layer="569" from-port="0" to-layer="570" to-port="0" />
		<edge from-layer="570" from-port="1" to-layer="571" to-port="1" />
		<edge from-layer="571" from-port="2" to-layer="573" to-port="0" />
		<edge from-layer="572" from-port="0" to-layer="615" to-port="1" />
		<edge from-layer="572" from-port="0" to-layer="594" to-port="1" />
		<edge from-layer="572" from-port="0" to-layer="573" to-port="1" />
		<edge from-layer="573" from-port="2" to-layer="616" to-port="0" />
		<edge from-layer="574" from-port="0" to-layer="575" to-port="0" />
		<edge from-layer="575" from-port="1" to-layer="576" to-port="1" />
		<edge from-layer="576" from-port="2" to-layer="579" to-port="0" />
		<edge from-layer="577" from-port="0" to-layer="578" to-port="0" />
		<edge from-layer="578" from-port="1" to-layer="579" to-port="1" />
		<edge from-layer="579" from-port="2" to-layer="580" to-port="0" />
		<edge from-layer="580" from-port="1" to-layer="583" to-port="0" />
		<edge from-layer="581" from-port="0" to-layer="582" to-port="0" />
		<edge from-layer="582" from-port="1" to-layer="583" to-port="1" />
		<edge from-layer="583" from-port="2" to-layer="586" to-port="0" />
		<edge from-layer="584" from-port="0" to-layer="585" to-port="0" />
		<edge from-layer="585" from-port="1" to-layer="586" to-port="1" />
		<edge from-layer="586" from-port="2" to-layer="587" to-port="0" />
		<edge from-layer="587" from-port="1" to-layer="590" to-port="0" />
		<edge from-layer="588" from-port="0" to-layer="589" to-port="0" />
		<edge from-layer="589" from-port="1" to-layer="590" to-port="1" />
		<edge from-layer="590" from-port="2" to-layer="593" to-port="0" />
		<edge from-layer="591" from-port="0" to-layer="592" to-port="0" />
		<edge from-layer="592" from-port="1" to-layer="593" to-port="1" />
		<edge from-layer="593" from-port="2" to-layer="594" to-port="0" />
		<edge from-layer="594" from-port="2" to-layer="616" to-port="1" />
		<edge from-layer="595" from-port="0" to-layer="596" to-port="0" />
		<edge from-layer="596" from-port="1" to-layer="597" to-port="1" />
		<edge from-layer="597" from-port="2" to-layer="600" to-port="0" />
		<edge from-layer="598" from-port="0" to-layer="599" to-port="0" />
		<edge from-layer="599" from-port="1" to-layer="600" to-port="1" />
		<edge from-layer="600" from-port="2" to-layer="601" to-port="0" />
		<edge from-layer="601" from-port="1" to-layer="604" to-port="0" />
		<edge from-layer="602" from-port="0" to-layer="603" to-port="0" />
		<edge from-layer="603" from-port="1" to-layer="604" to-port="1" />
		<edge from-layer="604" from-port="2" to-layer="607" to-port="0" />
		<edge from-layer="605" from-port="0" to-layer="606" to-port="0" />
		<edge from-layer="606" from-port="1" to-layer="607" to-port="1" />
		<edge from-layer="607" from-port="2" to-layer="608" to-port="0" />
		<edge from-layer="608" from-port="1" to-layer="611" to-port="0" />
		<edge from-layer="609" from-port="0" to-layer="610" to-port="0" />
		<edge from-layer="610" from-port="1" to-layer="611" to-port="1" />
		<edge from-layer="611" from-port="2" to-layer="614" to-port="0" />
		<edge from-layer="612" from-port="0" to-layer="613" to-port="0" />
		<edge from-layer="613" from-port="1" 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="2" to-layer="616" to-port="2" />
		<edge from-layer="616" from-port="3" to-layer="617" to-port="2" />
		<edge from-layer="617" from-port="3" to-layer="618" to-port="0" />
	</edges>
	<rt_info>
		<Runtime_version value="2026.0.0-20965-c6d6a13a886-releases/2026/0" />
		<conversion_parameters>
			<input_model value="DIR/camstack-yolov8n-seg.onnx" />
			<is_python_object value="False" />
		</conversion_parameters>
		<framework>
			<args value="{'batch': 1, 'half': False, 'dynamic': False, 'simplify': True, 'opset': None, 'nms': False}" />
			<author value="Ultralytics" />
			<batch value="1" />
			<channels value="3" />
			<date value="2026-03-23T15:55:19.580108" />
			<description value="Ultralytics YOLOv8n-seg model trained on coco.yaml" />
			<docs value="https://docs.ultralytics.com" />
			<end2end value="False" />
			<imgsz value="[640, 640]" />
			<license value="AGPL-3.0 License (https://ultralytics.com/license)" />
			<names value="{0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}" />
			<stride value="32" />
			<task value="segment" />
			<version value="8.4.24" />
		</framework>
	</rt_info>
</net>