<?xml version="1.0"?>
<net name="Model9" version="11">
	<layers>
		<layer id="0" name="x" type="Parameter" version="opset1">
			<data shape="?,3,?,?" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="x">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="Multiply_42620_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 3, 3, 3" offset="0" size="1728" />
			<output>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="Multiply_42620" 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>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="Multiply_42275" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Constant_42280_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="1728" 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="5" name="Constant_42280" 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="6" name="__module.model.backbone.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="45_1">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="__module.model.backbone.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="45,input.3">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="Multiply_42624_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="32, 1, 1, 3, 3" offset="1792" size="576" />
			<output>
				<port id="0" precision="FP16">
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="Multiply_42624" 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>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="Multiply_42282" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="66,input.7">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="Constant_42287_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 32, 1, 1" offset="2368" 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="Constant_42287" 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="__module.model.backbone.blocks.0.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="73_1">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="__module.model.backbone.blocks.0.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="73,input.9">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="Multiply_42627_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="16, 32, 1, 1" offset="2432" size="1024" />
			<output>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="Multiply_42627" 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>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="Multiply_42289" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>32</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="Constant_42294_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="3456" 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="19" name="Constant_42294" 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="20" name="__module.model.backbone.blocks.0.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</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="87,input.15">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="Multiply_42631_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="96, 16, 1, 1" offset="3488" size="3072" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="Multiply_42631" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="Multiply_42296" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="Constant_42301_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 96, 1, 1" offset="6560" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="Constant_42301" 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>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="__module.model.backbone.blocks.1.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="110_1">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="__module.model.backbone.blocks.1.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="110,input.19">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="Multiply_42635_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 3, 3" offset="6752" size="1728" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="Multiply_42635" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="Multiply_42303" type="GroupConvolution" version="opset1">
			<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="117,input.23">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="Constant_42308_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 96, 1, 1" offset="8480" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="Constant_42308" 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>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="__module.model.backbone.blocks.1.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="124_1">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="__module.model.backbone.blocks.1.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="124,input.25">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="Multiply_42638_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="24, 96, 1, 1" offset="8672" size="4608" />
			<output>
				<port id="0" precision="FP16">
					<dim>24</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="Multiply_42638" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>24</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>24</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="Multiply_42310" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>24</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="Constant_42315_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 24, 1, 1" offset="13280" size="48" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="Constant_42315" 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>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="__module.model.backbone.blocks.1.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="138,input.31">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="Multiply_42642_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="144, 24, 1, 1" offset="13328" size="6912" />
			<output>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="Multiply_42642" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="Multiply_42317" 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>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="Constant_42322_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 144, 1, 1" offset="20240" size="288" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="Constant_42322" 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>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="__module.model.backbone.blocks.1.1.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="160_1">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="__module.model.backbone.blocks.1.1.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="160,input.35">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="Multiply_42646_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="144, 1, 1, 3, 3" offset="20528" size="2592" />
			<output>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="Multiply_42646" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="Multiply_42324" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="167,input.39">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="Constant_42329_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 144, 1, 1" offset="23120" size="288" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="Constant_42329" 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>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="__module.model.backbone.blocks.1.1.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="174_1">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="__module.model.backbone.blocks.1.1.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="174,input.41">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="Multiply_42649_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="24, 144, 1, 1" offset="23408" size="6912" />
			<output>
				<port id="0" precision="FP16">
					<dim>24</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="Multiply_42649" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>24</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>24</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="Multiply_42331" 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>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>24</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="58" name="Constant_42336_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 24, 1, 1" offset="30320" size="48" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="Constant_42336" 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>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="__module.model.backbone.blocks.1.1.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="188,x.3">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="__module.model.backbone.blocks.1.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="189,input.47">
					<dim>-1</dim>
					<dim>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="Multiply_42653_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="144, 24, 1, 1" offset="30368" size="6912" />
			<output>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="Multiply_42653" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="Multiply_42338" 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>24</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>24</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="Constant_42343_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 144, 1, 1" offset="37280" size="288" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="Constant_42343" 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>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="__module.model.backbone.blocks.2.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="212_1">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="__module.model.backbone.blocks.2.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="212,input.51">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="Multiply_42657_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="144, 1, 1, 5, 5" offset="37568" size="7200" />
			<output>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="Multiply_42657" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="71" name="Multiply_42345" type="GroupConvolution" version="opset1">
			<data strides="2, 2" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="219,input.55">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="Constant_42350_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 144, 1, 1" offset="44768" size="288" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="Constant_42350" 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>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="74" name="__module.model.backbone.blocks.2.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="226_1">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="__module.model.backbone.blocks.2.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="226,input.57">
					<dim>-1</dim>
					<dim>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="Multiply_42660_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="40, 144, 1, 1" offset="45056" size="11520" />
			<output>
				<port id="0" precision="FP16">
					<dim>40</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="Multiply_42660" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>40</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>40</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="Multiply_42352" 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>144</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>40</dim>
					<dim>144</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="79" name="Constant_42357_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 40, 1, 1" offset="56576" size="80" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="Constant_42357" 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>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="__module.model.backbone.blocks.2.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="240,input.63">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="Multiply_42664_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="240, 40, 1, 1" offset="56656" size="19200" />
			<output>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Multiply_42664" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="Multiply_42359" 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>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="Constant_42364_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 240, 1, 1" offset="75856" size="480" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="Constant_42364" 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>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="87" name="__module.model.backbone.blocks.2.1.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="262_1">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="__module.model.backbone.blocks.2.1.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="262,input.67">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="Multiply_42668_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="240, 1, 1, 5, 5" offset="76336" size="12000" />
			<output>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="Multiply_42668" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="Multiply_42366" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="269,input.71">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="Constant_42371_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 240, 1, 1" offset="88336" size="480" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="Constant_42371" 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>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="94" name="__module.model.backbone.blocks.2.1.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="276_1">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="__module.model.backbone.blocks.2.1.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="276,input.73">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="Multiply_42671_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="40, 240, 1, 1" offset="88816" size="19200" />
			<output>
				<port id="0" precision="FP16">
					<dim>40</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="Multiply_42671" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>40</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>40</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="Multiply_42373" 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>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>40</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="99" name="Constant_42378_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 40, 1, 1" offset="108016" size="80" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="100" name="Constant_42378" 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>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="__module.model.backbone.blocks.2.1.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="290,x.5">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="__module.model.backbone.blocks.2.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="291,input.79">
					<dim>-1</dim>
					<dim>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="Multiply_42675_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="240, 40, 1, 1" offset="108096" size="19200" />
			<output>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="Multiply_42675" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="105" name="Multiply_42380" 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>40</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>40</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="Constant_42385_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 240, 1, 1" offset="127296" size="480" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="Constant_42385" 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>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="108" name="__module.model.backbone.blocks.3.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="315_1">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="109" name="__module.model.backbone.blocks.3.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="315,input.83">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="110" name="Multiply_42679_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="240, 1, 1, 3, 3" offset="127776" size="4320" />
			<output>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="111" name="Multiply_42679" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="112" name="Multiply_42387" type="GroupConvolution" version="opset1">
			<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="322,input.87">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="Constant_42392_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 240, 1, 1" offset="132096" size="480" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="Constant_42392" 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>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="__module.model.backbone.blocks.3.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="329_1">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="__module.model.backbone.blocks.3.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="329,input.89">
					<dim>-1</dim>
					<dim>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="Multiply_42682_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 240, 1, 1" offset="132576" size="38400" />
			<output>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="118" name="Multiply_42682" 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>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="Multiply_42394" 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>240</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>240</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="Constant_42399_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="170976" 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="121" name="Constant_42399" 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="122" name="__module.model.backbone.blocks.3.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</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="343,input.95">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="123" name="Multiply_42686_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 80, 1, 1" offset="171136" size="76800" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="Multiply_42686" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="125" name="Multiply_42401" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="126" name="Constant_42406_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="247936" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="Constant_42406" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="__module.model.backbone.blocks.3.1.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="365_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="__module.model.backbone.blocks.3.1.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="365,input.99">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="Multiply_42690_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 1, 1, 3, 3" offset="248896" size="8640" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="Multiply_42690" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="Multiply_42408" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="372,input.103">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="Constant_42413_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="257536" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="Constant_42413" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="__module.model.backbone.blocks.3.1.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="379_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="__module.model.backbone.blocks.3.1.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="379,input.105">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="Multiply_42693_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 480, 1, 1" offset="258496" size="76800" />
			<output>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="138" name="Multiply_42693" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="Multiply_42415" 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>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="Constant_42420_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="335296" 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="141" name="Constant_42420" 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="142" name="__module.model.backbone.blocks.3.1.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</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="393,x.7">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="__module.model.backbone.blocks.3.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</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="394,input.111">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="Multiply_42697_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 80, 1, 1" offset="335456" size="76800" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="Multiply_42697" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="Multiply_42422" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="147" name="Constant_42427_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="412256" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="148" name="Constant_42427" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="__module.model.backbone.blocks.3.2.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="416_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="__module.model.backbone.blocks.3.2.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="416,input.115">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="Multiply_42701_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 1, 1, 3, 3" offset="413216" size="8640" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="Multiply_42701" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="Multiply_42429" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="423,input.119">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="Constant_42434_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="421856" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="Constant_42434" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="156" name="__module.model.backbone.blocks.3.2.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="430_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="__module.model.backbone.blocks.3.2.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="430,input.121">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="Multiply_42704_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="80, 480, 1, 1" offset="422816" size="76800" />
			<output>
				<port id="0" precision="FP16">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="Multiply_42704" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="Multiply_42436" 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>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>80</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="Constant_42441_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 80, 1, 1" offset="499616" 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="162" name="Constant_42441" 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="163" name="__module.model.backbone.blocks.3.2.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</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="444,x.9">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="__module.model.backbone.blocks.3.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</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="445,input.127">
					<dim>-1</dim>
					<dim>80</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="Multiply_42708_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 80, 1, 1" offset="499776" size="76800" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="Multiply_42708" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="Multiply_42443" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>80</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="Constant_42448_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="576576" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="169" name="Constant_42448" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="__module.model.backbone.blocks.4.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="469_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="__module.model.backbone.blocks.4.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="469,input.131">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="Multiply_42712_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="480, 1, 1, 5, 5" offset="577536" size="24000" />
			<output>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="173" name="Multiply_42712" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="Multiply_42450" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="476,input.135">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="Constant_42455_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 480, 1, 1" offset="601536" size="960" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="Constant_42455" 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>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="__module.model.backbone.blocks.4.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="483_1">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="178" name="__module.model.backbone.blocks.4.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="483,input.137">
					<dim>-1</dim>
					<dim>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="Multiply_42715_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="112, 480, 1, 1" offset="602496" size="107520" />
			<output>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="Multiply_42715" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="Multiply_42457" 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>480</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>480</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="Constant_42462_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 112, 1, 1" offset="710016" size="224" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="Constant_42462" 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>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="__module.model.backbone.blocks.4.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="497,input.143">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="Multiply_42719_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 112, 1, 1" offset="710240" size="150528" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="Multiply_42719" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="187" name="Multiply_42464" 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>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="188" name="Constant_42469_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="860768" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="Constant_42469" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="__module.model.backbone.blocks.4.1.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="519_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="__module.model.backbone.blocks.4.1.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="519,input.147">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="Multiply_42723_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 1, 1, 5, 5" offset="862112" size="33600" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="Multiply_42723" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="194" name="Multiply_42471" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="526,input.151">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="Constant_42476_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="895712" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="Constant_42476" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="__module.model.backbone.blocks.4.1.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="533_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="__module.model.backbone.blocks.4.1.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="533,input.153">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="Multiply_42726_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="112, 672, 1, 1" offset="897056" size="150528" />
			<output>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="Multiply_42726" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="201" name="Multiply_42478" 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>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="202" name="Constant_42483_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 112, 1, 1" offset="1047584" size="224" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="203" name="Constant_42483" 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>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="__module.model.backbone.blocks.4.1.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="547,x.11">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="__module.model.backbone.blocks.4.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="548,input.159">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="Multiply_42730_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 112, 1, 1" offset="1047808" size="150528" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="Multiply_42730" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="Multiply_42485" 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>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="209" name="Constant_42490_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="1198336" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="210" name="Constant_42490" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="__module.model.backbone.blocks.4.2.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="570_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="__module.model.backbone.blocks.4.2.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="570,input.163">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="Multiply_42734_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 1, 1, 5, 5" offset="1199680" size="33600" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="Multiply_42734" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="Multiply_42492" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="577,input.167">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="216" name="Constant_42497_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="1233280" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="217" name="Constant_42497" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="__module.model.backbone.blocks.4.2.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="584_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="219" name="__module.model.backbone.blocks.4.2.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="584,input.169">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="220" name="Multiply_42737_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="112, 672, 1, 1" offset="1234624" size="150528" />
			<output>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="221" name="Multiply_42737" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="222" name="Multiply_42499" 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>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>112</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="Constant_42504_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 112, 1, 1" offset="1385152" size="224" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="224" name="Constant_42504" 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>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="225" name="__module.model.backbone.blocks.4.2.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="598,x.13">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="__module.model.backbone.blocks.4.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="599,input.175">
					<dim>-1</dim>
					<dim>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="227" name="Multiply_42741_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 112, 1, 1" offset="1385376" size="150528" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="Multiply_42741" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="Multiply_42506" 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>112</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>112</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="Constant_42511_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="1535904" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="231" name="Constant_42511" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="232" name="__module.model.backbone.blocks.5.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="624_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="233" name="__module.model.backbone.blocks.5.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="624,input.179">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="Multiply_42745_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="672, 1, 1, 5, 5" offset="1537248" size="33600" />
			<output>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="Multiply_42745" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="236" name="Multiply_42513" type="GroupConvolution" version="opset1">
			<data strides="2, 2" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="631,input.183">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="Constant_42518_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 672, 1, 1" offset="1570848" size="1344" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="238" name="Constant_42518" 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>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="239" name="__module.model.backbone.blocks.5.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="638_1">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="__module.model.backbone.blocks.5.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="638,input.185">
					<dim>-1</dim>
					<dim>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="241" name="Multiply_42748_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="192, 672, 1, 1" offset="1572192" size="258048" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="242" name="Multiply_42748" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="243" name="Multiply_42520" 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>672</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>672</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="244" name="Constant_42525_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 192, 1, 1" offset="1830240" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="Constant_42525" 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>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="246" name="__module.model.backbone.blocks.5.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="652,input.191">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="247" name="Multiply_42752_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 192, 1, 1" offset="1830624" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="248" name="Multiply_42752" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="249" name="Multiply_42527" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="250" name="Constant_42532_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="2272992" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="251" name="Constant_42532" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="252" name="__module.model.backbone.blocks.5.1.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="674_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="253" name="__module.model.backbone.blocks.5.1.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="674,input.195">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="254" name="Multiply_42756_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 1, 1, 5, 5" offset="2275296" size="57600" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="255" name="Multiply_42756" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="256" name="Multiply_42534" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="681,input.199">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="257" name="Constant_42539_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="2332896" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="258" name="Constant_42539" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="259" name="__module.model.backbone.blocks.5.1.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="688_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="260" name="__module.model.backbone.blocks.5.1.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="688,input.201">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="261" name="Multiply_42759_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1152, 1, 1" offset="2335200" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="262" name="Multiply_42759" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="263" name="Multiply_42541" 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>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="264" name="Constant_42546_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 192, 1, 1" offset="2777568" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="265" name="Constant_42546" 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>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="266" name="__module.model.backbone.blocks.5.1.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="702,x.15">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="267" name="__module.model.backbone.blocks.5.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="703,input.207">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="268" name="Multiply_42763_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 192, 1, 1" offset="2777952" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="269" name="Multiply_42763" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="270" name="Multiply_42548" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="271" name="Constant_42553_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="3220320" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="272" name="Constant_42553" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="273" name="__module.model.backbone.blocks.5.2.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="725_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="274" name="__module.model.backbone.blocks.5.2.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="725,input.211">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="275" name="Multiply_42767_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 1, 1, 5, 5" offset="3222624" size="57600" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="276" name="Multiply_42767" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="277" name="Multiply_42555" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="732,input.215">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="278" name="Constant_42560_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="3280224" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="279" name="Constant_42560" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="280" name="__module.model.backbone.blocks.5.2.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="739_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="281" name="__module.model.backbone.blocks.5.2.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="739,input.217">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="282" name="Multiply_42770_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1152, 1, 1" offset="3282528" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="283" name="Multiply_42770" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="284" name="Multiply_42562" 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>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="285" name="Constant_42567_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 192, 1, 1" offset="3724896" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="286" name="Constant_42567" 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>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="287" name="__module.model.backbone.blocks.5.2.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="753,x.17">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="288" name="__module.model.backbone.blocks.5.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="754,input.223">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="289" name="Multiply_42774_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 192, 1, 1" offset="3725280" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="290" name="Multiply_42774" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="291" name="Multiply_42569" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="292" name="Constant_42574_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="4167648" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="293" name="Constant_42574" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="294" name="__module.model.backbone.blocks.5.3.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="776_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="295" name="__module.model.backbone.blocks.5.3.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="776,input.227">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="296" name="Multiply_42778_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 1, 1, 5, 5" offset="4169952" size="57600" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="297" name="Multiply_42778" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="298" name="Multiply_42576" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>5</dim>
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="783,input.231">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="299" name="Constant_42581_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="4227552" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="300" name="Constant_42581" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="301" name="__module.model.backbone.blocks.5.3.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="790_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="302" name="__module.model.backbone.blocks.5.3.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="790,input.233">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="303" name="Multiply_42781_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1152, 1, 1" offset="4229856" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="304" name="Multiply_42781" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="305" name="Multiply_42583" 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>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="306" name="Constant_42588_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 192, 1, 1" offset="4672224" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="307" name="Constant_42588" 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>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="308" name="__module.model.backbone.blocks.5.3.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="804,x_1">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="309" name="__module.model.backbone.blocks.5.3/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="805,input.239">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="310" name="Multiply_42785_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 192, 1, 1" offset="4672608" size="442368" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="311" name="Multiply_42785" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="312" name="Multiply_42590" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="313" name="Constant_42595_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="5114976" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="314" name="Constant_42595" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="315" name="__module.model.backbone.blocks.6.0.bn1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="827_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="316" name="__module.model.backbone.blocks.6.0.bn1.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="827,input.243">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="317" name="Multiply_42789_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 1, 1, 3, 3" offset="5117280" size="20736" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="318" name="Multiply_42789" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="319" name="Multiply_42597" type="GroupConvolution" version="opset1">
			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="834,input.247">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="320" name="Constant_42602_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1152, 1, 1" offset="5138016" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="321" name="Constant_42602" 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>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="322" name="__module.model.backbone.blocks.6.0.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="841_1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="323" name="__module.model.backbone.blocks.6.0.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="841,input.249">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="324" name="Multiply_42792_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="320, 1152, 1, 1" offset="5140320" size="737280" />
			<output>
				<port id="0" precision="FP16">
					<dim>320</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="325" name="Multiply_42792" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>320</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>320</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="326" name="Multiply_42604" 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>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>320</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>320</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="327" name="Constant_42609_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 320, 1, 1" offset="5877600" size="640" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="328" name="Constant_42609" 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>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="329" name="__module.model.backbone.blocks.6.0.bn3/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>320</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="855,input.255">
					<dim>-1</dim>
					<dim>320</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="330" name="Multiply_42796_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1280, 320, 1, 1" offset="5878240" size="819200" />
			<output>
				<port id="0" precision="FP16">
					<dim>1280</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="331" name="Multiply_42796" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1280</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1280</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="332" name="Multiply_42611" 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>320</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1280</dim>
					<dim>320</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="333" name="Constant_42616_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1280, 1, 1" offset="6697440" size="2560" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="334" name="Constant_42616" 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>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="335" name="__module.model.backbone.bn2/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="868_1">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="336" name="__module.model.backbone.bn2.act/aten::hardtanh_/Clamp" type="Clamp" version="opset1">
			<data min="0" max="6" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="868,input.259">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="337" name="Constant_39072" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="6700000" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="338" name="__module.model.backbone.global_pool.pool/aten::adaptive_avg_pool2d/AdaptiveAvgPool" type="ReduceMean" version="opset1">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="873,input.263">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="339" name="Concat_37344" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="6700016" size="16" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="340" name="__module.model.backbone.global_pool.flatten/aten::flatten/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="874,input.265">
					<dim>-1</dim>
					<dim>1280</dim>
				</port>
			</output>
		</layer>
		<layer id="341" name="self.model.classifier.1.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="4, 1280" offset="6700032" size="10240" />
			<output>
				<port id="0" precision="FP16" names="self.model.classifier.1.weight">
					<dim>4</dim>
					<dim>1280</dim>
				</port>
			</output>
		</layer>
		<layer id="342" name="self.model.classifier.1.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>4</dim>
					<dim>1280</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>4</dim>
					<dim>1280</dim>
				</port>
			</output>
		</layer>
		<layer id="343" name="__module.model.classifier.1/aten::linear/MatMul" type="MatMul" version="opset1">
			<data transpose_a="false" transpose_b="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1280</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>4</dim>
					<dim>1280</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="344" name="Constant_42959_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 4" offset="6710272" size="8" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="345" name="Constant_42959" 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>4</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="346" name="__module.model.classifier.1/aten::linear/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="880">
					<dim>-1</dim>
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="347" name="aten::sigmoid/Sigmoid" type="Sigmoid" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="348" name="Result_34992" type="Result" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</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="23" to-port="0" />
		<edge from-layer="21" from-port="0" to-layer="22" to-port="0" />
		<edge from-layer="22" from-port="1" to-layer="23" to-port="1" />
		<edge from-layer="23" from-port="2" to-layer="26" to-port="0" />
		<edge from-layer="24" from-port="0" to-layer="25" to-port="0" />
		<edge from-layer="25" from-port="1" to-layer="26" to-port="1" />
		<edge from-layer="26" from-port="2" to-layer="27" to-port="0" />
		<edge from-layer="27" from-port="1" 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="33" to-port="0" />
		<edge from-layer="31" from-port="0" to-layer="32" to-port="0" />
		<edge from-layer="32" from-port="1" to-layer="33" to-port="1" />
		<edge from-layer="33" from-port="2" to-layer="34" to-port="0" />
		<edge from-layer="34" from-port="1" 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="40" to-port="0" />
		<edge from-layer="38" from-port="0" to-layer="39" to-port="0" />
		<edge from-layer="39" from-port="1" to-layer="40" to-port="1" />
		<edge from-layer="40" from-port="2" to-layer="61" to-port="1" />
		<edge from-layer="40" from-port="2" 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="2" to-layer="64" to-port="0" />
		<edge from-layer="62" from-port="0" to-layer="63" to-port="0" />
		<edge from-layer="63" from-port="1" to-layer="64" to-port="1" />
		<edge from-layer="64" from-port="2" to-layer="67" 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="68" to-port="0" />
		<edge from-layer="68" from-port="1" to-layer="71" to-port="0" />
		<edge from-layer="69" from-port="0" to-layer="70" to-port="0" />
		<edge from-layer="70" from-port="1" to-layer="71" to-port="1" />
		<edge from-layer="71" from-port="2" 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="75" to-port="0" />
		<edge from-layer="75" from-port="1" to-layer="78" to-port="0" />
		<edge from-layer="76" from-port="0" to-layer="77" to-port="0" />
		<edge from-layer="77" from-port="1" to-layer="78" to-port="1" />
		<edge from-layer="78" from-port="2" to-layer="81" to-port="0" />
		<edge from-layer="79" from-port="0" to-layer="80" to-port="0" />
		<edge from-layer="80" from-port="1" to-layer="81" to-port="1" />
		<edge from-layer="81" from-port="2" to-layer="84" to-port="0" />
		<edge from-layer="81" from-port="2" to-layer="102" to-port="1" />
		<edge from-layer="82" from-port="0" to-layer="83" to-port="0" />
		<edge from-layer="83" from-port="1" to-layer="84" to-port="1" />
		<edge from-layer="84" from-port="2" to-layer="87" to-port="0" />
		<edge from-layer="85" from-port="0" to-layer="86" to-port="0" />
		<edge from-layer="86" from-port="1" to-layer="87" to-port="1" />
		<edge from-layer="87" from-port="2" to-layer="88" to-port="0" />
		<edge from-layer="88" from-port="1" to-layer="91" to-port="0" />
		<edge from-layer="89" from-port="0" to-layer="90" to-port="0" />
		<edge from-layer="90" from-port="1" to-layer="91" to-port="1" />
		<edge from-layer="91" from-port="2" to-layer="94" to-port="0" />
		<edge from-layer="92" from-port="0" 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="0" />
		<edge from-layer="95" from-port="1" 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="2" to-layer="105" to-port="0" />
		<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="118" to-port="0" />
		<edge from-layer="118" from-port="1" to-layer="119" to-port="1" />
		<edge from-layer="119" from-port="2" to-layer="122" 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="143" 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="128" to-port="0" />
		<edge from-layer="126" from-port="0" to-layer="127" to-port="0" />
		<edge from-layer="127" from-port="1" to-layer="128" to-port="1" />
		<edge from-layer="128" from-port="2" to-layer="129" to-port="0" />
		<edge from-layer="129" from-port="1" 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="135" to-port="0" />
		<edge from-layer="133" from-port="0" to-layer="134" to-port="0" />
		<edge from-layer="134" from-port="1" to-layer="135" to-port="1" />
		<edge from-layer="135" from-port="2" to-layer="136" to-port="0" />
		<edge from-layer="136" from-port="1" to-layer="139" to-port="0" />
		<edge from-layer="137" from-port="0" to-layer="138" to-port="0" />
		<edge from-layer="138" from-port="1" to-layer="139" to-port="1" />
		<edge from-layer="139" from-port="2" to-layer="142" to-port="0" />
		<edge from-layer="140" from-port="0" to-layer="141" to-port="0" />
		<edge from-layer="141" from-port="1" to-layer="142" to-port="1" />
		<edge from-layer="142" from-port="2" to-layer="143" to-port="0" />
		<edge from-layer="143" from-port="2" to-layer="146" to-port="0" />
		<edge from-layer="143" from-port="2" to-layer="164" to-port="1" />
		<edge from-layer="144" from-port="0" to-layer="145" to-port="0" />
		<edge from-layer="145" from-port="1" to-layer="146" to-port="1" />
		<edge from-layer="146" from-port="2" to-layer="149" to-port="0" />
		<edge from-layer="147" from-port="0" 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="0" />
		<edge from-layer="150" from-port="1" 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="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="2" 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="173" to-port="0" />
		<edge from-layer="173" from-port="1" to-layer="174" to-port="1" />
		<edge from-layer="174" from-port="2" 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="178" to-port="0" />
		<edge from-layer="178" from-port="1" to-layer="181" to-port="0" />
		<edge from-layer="179" from-port="0" to-layer="180" to-port="0" />
		<edge from-layer="180" from-port="1" to-layer="181" to-port="1" />
		<edge from-layer="181" from-port="2" 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="184" from-port="2" to-layer="205" to-port="1" />
		<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="190" to-port="0" />
		<edge from-layer="188" from-port="0" to-layer="189" to-port="0" />
		<edge from-layer="189" from-port="1" to-layer="190" to-port="1" />
		<edge from-layer="190" from-port="2" to-layer="191" to-port="0" />
		<edge from-layer="191" from-port="1" to-layer="194" to-port="0" />
		<edge from-layer="192" from-port="0" to-layer="193" to-port="0" />
		<edge from-layer="193" from-port="1" to-layer="194" to-port="1" />
		<edge from-layer="194" from-port="2" to-layer="197" to-port="0" />
		<edge from-layer="195" from-port="0" to-layer="196" to-port="0" />
		<edge from-layer="196" from-port="1" to-layer="197" to-port="1" />
		<edge from-layer="197" from-port="2" to-layer="198" to-port="0" />
		<edge from-layer="198" from-port="1" to-layer="201" to-port="0" />
		<edge from-layer="199" from-port="0" to-layer="200" to-port="0" />
		<edge from-layer="200" from-port="1" to-layer="201" to-port="1" />
		<edge from-layer="201" from-port="2" to-layer="204" to-port="0" />
		<edge from-layer="202" from-port="0" to-layer="203" to-port="0" />
		<edge from-layer="203" from-port="1" to-layer="204" to-port="1" />
		<edge from-layer="204" from-port="2" to-layer="205" to-port="0" />
		<edge from-layer="205" from-port="2" to-layer="208" to-port="0" />
		<edge from-layer="205" from-port="2" to-layer="226" to-port="1" />
		<edge from-layer="206" from-port="0" to-layer="207" to-port="0" />
		<edge from-layer="207" from-port="1" to-layer="208" to-port="1" />
		<edge from-layer="208" from-port="2" 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="212" to-port="0" />
		<edge from-layer="212" from-port="1" to-layer="215" to-port="0" />
		<edge from-layer="213" from-port="0" to-layer="214" to-port="0" />
		<edge from-layer="214" from-port="1" to-layer="215" to-port="1" />
		<edge from-layer="215" from-port="2" to-layer="218" to-port="0" />
		<edge from-layer="216" from-port="0" to-layer="217" to-port="0" />
		<edge from-layer="217" from-port="1" to-layer="218" to-port="1" />
		<edge from-layer="218" from-port="2" to-layer="219" to-port="0" />
		<edge from-layer="219" from-port="1" to-layer="222" to-port="0" />
		<edge from-layer="220" from-port="0" to-layer="221" to-port="0" />
		<edge from-layer="221" from-port="1" to-layer="222" to-port="1" />
		<edge from-layer="222" from-port="2" to-layer="225" to-port="0" />
		<edge from-layer="223" from-port="0" to-layer="224" to-port="0" />
		<edge from-layer="224" from-port="1" to-layer="225" to-port="1" />
		<edge from-layer="225" from-port="2" to-layer="226" to-port="0" />
		<edge from-layer="226" from-port="2" to-layer="229" to-port="0" />
		<edge from-layer="227" from-port="0" to-layer="228" to-port="0" />
		<edge from-layer="228" from-port="1" to-layer="229" to-port="1" />
		<edge from-layer="229" from-port="2" to-layer="232" to-port="0" />
		<edge from-layer="230" from-port="0" to-layer="231" to-port="0" />
		<edge from-layer="231" from-port="1" to-layer="232" to-port="1" />
		<edge from-layer="232" from-port="2" to-layer="233" to-port="0" />
		<edge from-layer="233" from-port="1" to-layer="236" to-port="0" />
		<edge from-layer="234" from-port="0" to-layer="235" to-port="0" />
		<edge from-layer="235" from-port="1" to-layer="236" to-port="1" />
		<edge from-layer="236" from-port="2" to-layer="239" to-port="0" />
		<edge from-layer="237" from-port="0" to-layer="238" to-port="0" />
		<edge from-layer="238" from-port="1" to-layer="239" to-port="1" />
		<edge from-layer="239" from-port="2" to-layer="240" to-port="0" />
		<edge from-layer="240" from-port="1" to-layer="243" to-port="0" />
		<edge from-layer="241" from-port="0" to-layer="242" to-port="0" />
		<edge from-layer="242" from-port="1" to-layer="243" to-port="1" />
		<edge from-layer="243" from-port="2" to-layer="246" to-port="0" />
		<edge from-layer="244" from-port="0" to-layer="245" to-port="0" />
		<edge from-layer="245" from-port="1" to-layer="246" to-port="1" />
		<edge from-layer="246" from-port="2" to-layer="249" to-port="0" />
		<edge from-layer="246" from-port="2" to-layer="267" to-port="1" />
		<edge from-layer="247" from-port="0" to-layer="248" to-port="0" />
		<edge from-layer="248" from-port="1" to-layer="249" to-port="1" />
		<edge from-layer="249" from-port="2" to-layer="252" to-port="0" />
		<edge from-layer="250" from-port="0" to-layer="251" to-port="0" />
		<edge from-layer="251" from-port="1" to-layer="252" to-port="1" />
		<edge from-layer="252" from-port="2" to-layer="253" to-port="0" />
		<edge from-layer="253" from-port="1" to-layer="256" to-port="0" />
		<edge from-layer="254" from-port="0" to-layer="255" to-port="0" />
		<edge from-layer="255" from-port="1" to-layer="256" to-port="1" />
		<edge from-layer="256" from-port="2" to-layer="259" to-port="0" />
		<edge from-layer="257" from-port="0" to-layer="258" to-port="0" />
		<edge from-layer="258" from-port="1" to-layer="259" to-port="1" />
		<edge from-layer="259" from-port="2" to-layer="260" to-port="0" />
		<edge from-layer="260" from-port="1" to-layer="263" 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="2" to-layer="270" to-port="0" />
		<edge from-layer="267" from-port="2" to-layer="288" to-port="1" />
		<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="277" to-port="0" />
		<edge from-layer="275" from-port="0" to-layer="276" to-port="0" />
		<edge from-layer="276" from-port="1" to-layer="277" to-port="1" />
		<edge from-layer="277" from-port="2" to-layer="280" to-port="0" />
		<edge from-layer="278" from-port="0" to-layer="279" to-port="0" />
		<edge from-layer="279" from-port="1" to-layer="280" to-port="1" />
		<edge from-layer="280" from-port="2" to-layer="281" to-port="0" />
		<edge from-layer="281" from-port="1" to-layer="284" to-port="0" />
		<edge from-layer="282" from-port="0" to-layer="283" to-port="0" />
		<edge from-layer="283" from-port="1" to-layer="284" to-port="1" />
		<edge from-layer="284" from-port="2" to-layer="287" to-port="0" />
		<edge from-layer="285" from-port="0" to-layer="286" to-port="0" />
		<edge from-layer="286" from-port="1" to-layer="287" to-port="1" />
		<edge from-layer="287" from-port="2" to-layer="288" to-port="0" />
		<edge from-layer="288" from-port="2" to-layer="291" to-port="0" />
		<edge from-layer="288" from-port="2" to-layer="309" to-port="1" />
		<edge from-layer="289" from-port="0" to-layer="290" to-port="0" />
		<edge from-layer="290" from-port="1" to-layer="291" to-port="1" />
		<edge from-layer="291" from-port="2" to-layer="294" to-port="0" />
		<edge from-layer="292" from-port="0" to-layer="293" to-port="0" />
		<edge from-layer="293" from-port="1" to-layer="294" to-port="1" />
		<edge from-layer="294" from-port="2" to-layer="295" to-port="0" />
		<edge from-layer="295" from-port="1" 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="2" to-layer="312" 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="312" to-port="1" />
		<edge from-layer="312" from-port="2" to-layer="315" to-port="0" />
		<edge from-layer="313" from-port="0" to-layer="314" to-port="0" />
		<edge from-layer="314" from-port="1" to-layer="315" to-port="1" />
		<edge from-layer="315" from-port="2" to-layer="316" to-port="0" />
		<edge from-layer="316" from-port="1" to-layer="319" to-port="0" />
		<edge from-layer="317" from-port="0" to-layer="318" to-port="0" />
		<edge from-layer="318" from-port="1" to-layer="319" to-port="1" />
		<edge from-layer="319" from-port="2" to-layer="322" to-port="0" />
		<edge from-layer="320" from-port="0" to-layer="321" to-port="0" />
		<edge from-layer="321" from-port="1" to-layer="322" to-port="1" />
		<edge from-layer="322" from-port="2" to-layer="323" to-port="0" />
		<edge from-layer="323" from-port="1" to-layer="326" to-port="0" />
		<edge from-layer="324" from-port="0" to-layer="325" to-port="0" />
		<edge from-layer="325" from-port="1" to-layer="326" to-port="1" />
		<edge from-layer="326" from-port="2" to-layer="329" to-port="0" />
		<edge from-layer="327" from-port="0" to-layer="328" to-port="0" />
		<edge from-layer="328" from-port="1" to-layer="329" to-port="1" />
		<edge from-layer="329" from-port="2" to-layer="332" to-port="0" />
		<edge from-layer="330" from-port="0" to-layer="331" to-port="0" />
		<edge from-layer="331" from-port="1" to-layer="332" to-port="1" />
		<edge from-layer="332" from-port="2" to-layer="335" to-port="0" />
		<edge from-layer="333" from-port="0" to-layer="334" to-port="0" />
		<edge from-layer="334" from-port="1" to-layer="335" to-port="1" />
		<edge from-layer="335" from-port="2" to-layer="336" to-port="0" />
		<edge from-layer="336" from-port="1" to-layer="338" to-port="0" />
		<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
		<edge from-layer="338" from-port="2" to-layer="340" to-port="0" />
		<edge from-layer="339" from-port="0" to-layer="340" to-port="1" />
		<edge from-layer="340" from-port="2" to-layer="343" to-port="0" />
		<edge from-layer="341" from-port="0" to-layer="342" to-port="0" />
		<edge from-layer="342" from-port="1" to-layer="343" to-port="1" />
		<edge from-layer="343" from-port="2" to-layer="346" to-port="0" />
		<edge from-layer="344" from-port="0" to-layer="345" to-port="0" />
		<edge from-layer="345" from-port="1" to-layer="346" to-port="1" />
		<edge from-layer="346" from-port="2" to-layer="347" to-port="0" />
		<edge from-layer="347" from-port="1" to-layer="348" to-port="0" />
	</edges>
	<rt_info>
		<Runtime_version value="2026.0.0-20965-c6d6a13a886-releases/2026/0" />
		<conversion_parameters>
			<framework value="pytorch" />
			<is_python_object value="True" />
		</conversion_parameters>
	</rt_info>
</net>
