diff --git "a/deployments/deployment/Instance segmentation task/model/model.xml" "b/deployments/deployment/Instance segmentation task/model/model.xml"
new file mode 100644--- /dev/null
+++ "b/deployments/deployment/Instance segmentation task/model/model.xml"
@@ -0,0 +1,26009 @@
+<?xml version="1.0"?>
+<net name="main_graph" version="11">
+	<layers>
+		<layer id="0" name="image" type="Parameter" version="opset1">
+			<data shape="1,3,640,640" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="image">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="onnx::Conv_1797_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="12, 3, 3, 3" offset="0" size="648" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1797">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="onnx::Conv_1797" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="/backbone/stem/stem.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Reshape_40540_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 12, 1, 1" offset="648" size="24" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Reshape_40540" 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>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="/backbone/stem/stem.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stem/stem.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="/backbone/stem/stem.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stem/stem.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="onnx::Conv_1800_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="12, 12, 3, 3" offset="672" size="2592" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1800">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="onnx::Conv_1800" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="/backbone/stem/stem.1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Reshape_40558_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 12, 1, 1" offset="3264" size="24" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Reshape_40558" 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>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="/backbone/stem/stem.1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stem/stem.1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="/backbone/stem/stem.1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stem/stem.1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="onnx::Conv_1803_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="24, 12, 3, 3" offset="3288" size="5184" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1803">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="onnx::Conv_1803" 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>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="/backbone/stem/stem.2/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Reshape_40576_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 24, 1, 1" offset="8472" 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="19" name="Reshape_40576" 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="20" name="/backbone/stem/stem.2/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</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="/backbone/stem/stem.2/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="/backbone/stem/stem.2/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stem/stem.2/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="onnx::Conv_1806_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 24, 3, 3" offset="8520" size="20736" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1806">
+					<dim>48</dim>
+					<dim>24</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="onnx::Conv_1806" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>24</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>24</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="/backbone/stage1/stage1.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>24</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Reshape_40594_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="29256" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Reshape_40594" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="/backbone/stage1/stage1.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="/backbone/stage1/stage1.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage1/stage1.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="onnx::Conv_1812_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="24, 48, 1, 1" offset="29352" size="2304" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1812">
+					<dim>24</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="onnx::Conv_1812" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="/backbone/stage1/stage1.1/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="33" name="Reshape_40630" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				</port>
+			</output>
+		</layer>
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+			</output>
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+		<layer id="37" name="onnx::Conv_1815" type="Convert" version="opset1">
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+				<attribute name="decompression" version="0" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+			</output>
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+			<data destination_type="f32" />
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+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="/backbone/stage1/stage1.1/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>24</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/short_conv/conv/Conv_output_0">
+					<dim>1</dim>
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+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="/backbone/stage1/stage1.1/short_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="/backbone/stage1/stage1.1/Concat" type="Concat" version="opset1">
+			<data axis="1" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/Concat_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="Range_40745" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="46920" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="/backbone/stage1/stage1.1/attention/global_avgpool/GlobalAveragePool" type="ReduceMean" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/attention/global_avgpool/GlobalAveragePool_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="model.backbone.stage1.1.attention.fc.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 1, 1" offset="46936" size="4608" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="69" name="model.backbone.stage1.1.attention.fc.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>48</dim>
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="70" name="/backbone/stage1/stage1.1/attention/fc/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			</input>
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+					<dim>1</dim>
+					<dim>48</dim>
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+					<dim>1</dim>
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+			</output>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="51544" size="96" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="72" name="Reshape_40763" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/attention/fc/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="Constant_40767_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51640" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="75" name="Constant_40767" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="76" name="Constant_40768_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51642" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="77" name="Constant_40768" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="78" name="/backbone/stage1/stage1.1/attention/act/HardSigmoid" type="HardSigmoid" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/backbone/stage1/stage1.1/attention/act/HardSigmoid_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="/backbone/stage1/stage1.1/attention/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/attention/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f16" shape="48, 48, 1, 1" offset="51644" size="4608" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1824">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="onnx::Conv_1824" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
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+					<dim>1</dim>
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+			</input>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="82" name="/backbone/stage1/stage1.1/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="84" name="Reshape_40783" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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+				</port>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="/backbone/stage1/stage1.1/final_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage1/stage1.1/final_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
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+					<dim>160</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage1/stage1.1/final_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="96, 48, 3, 3" offset="56348" size="82944" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1827">
+					<dim>96</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="onnx::Conv_1827" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>3</dim>
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+				<port id="1" precision="FP32">
+					<dim>96</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
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+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>160</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
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+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+					<dim>96</dim>
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+			</output>
+		</layer>
+		<layer id="91" name="Reshape_40801" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="48, 96, 1, 1" offset="139484" size="9216" />
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+				<port id="0" precision="FP16" names="onnx::Conv_1833">
+					<dim>48</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="onnx::Conv_1833" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>96</dim>
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+					<dim>1</dim>
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+					<dim>48</dim>
+					<dim>96</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="96" name="/backbone/stage2/stage2.1/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Reshape_40837_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="148700" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Reshape_40837" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="/backbone/stage2/stage2.1/main_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/main_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="/backbone/stage2/stage2.1/main_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage2/stage2.1/main_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="onnx::Conv_1836_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="148796" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1836">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="onnx::Conv_1836" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="104" name="Reshape_40855_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="190268" size="96" />
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+				<port id="0" precision="FP16">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="Reshape_40855" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv1/activation/Mul" type="Swish" version="opset4">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="108" name="Reshape_40868_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 1, 1, 5, 5" offset="190364" size="2400" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="109" name="Reshape_40868" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5</dim>
+					<dim>5</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5</dim>
+					<dim>5</dim>
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+			</output>
+		</layer>
+		<layer id="110" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>5</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="111" name="Reshape_40920_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="192764" size="96" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="112" name="Reshape_40920" 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>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/depthwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="48, 48, 1, 1" offset="192860" size="4608" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1842">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="onnx::Conv_1842" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="117" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="197468" size="96" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="119" name="Reshape_40938" 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>48</dim>
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+					<dim>1</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="120" name="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/conv2/pointwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
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+			<data auto_broadcast="numpy" />
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+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/blocks/blocks.0/Add_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="48, 96, 1, 1" offset="197564" size="9216" />
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+					<dim>48</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="124" name="onnx::Conv_1830" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>96</dim>
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+					<dim>96</dim>
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+					<dim>1</dim>
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+			</output>
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+		<layer id="125" name="/backbone/stage2/stage2.1/short_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="127" name="Reshape_40819" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+			</output>
+		</layer>
+		<layer id="128" name="/backbone/stage2/stage2.1/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/short_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
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+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data axis="1" />
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+				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="131" name="Range_40952" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="46920" size="16" />
+			<output>
+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="132" name="/backbone/stage2/stage2.1/attention/global_avgpool/GlobalAveragePool" type="ReduceMean" version="opset1">
+			<data keep_dims="true" />
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/attention/global_avgpool/GlobalAveragePool_output_0">
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+					<dim>1</dim>
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+			</output>
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+		<layer id="134" name="model.backbone.stage2.1.attention.fc.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>96</dim>
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+					<dim>1</dim>
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+			</output>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+					<dim>1</dim>
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+			</output>
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+			</output>
+		</layer>
+		<layer id="137" name="Reshape_40970" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+			</output>
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+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="139" name="Constant_40974_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51640" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="140" name="Constant_40974" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="141" name="Constant_40975_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51642" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="142" name="Constant_40975" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16" />
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+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="143" name="/backbone/stage2/stage2.1/attention/act/HardSigmoid" type="HardSigmoid" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>96</dim>
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+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/backbone/stage2/stage2.1/attention/act/HardSigmoid_output_0">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="144" name="/backbone/stage2/stage2.1/attention/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="2" precision="FP32" names="/backbone/stage2/stage2.1/attention/Mul_output_0">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="146" name="onnx::Conv_1845" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+			</output>
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+		<layer id="147" name="/backbone/stage2/stage2.1/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="149" name="Reshape_40990" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+			</output>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+			<output>
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+			</output>
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+					<dim>96</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="153" name="onnx::Conv_1848" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP16" names="onnx::Conv_1854">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="onnx::Conv_1854" 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>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
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+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="/backbone/stage3/stage3.1/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
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+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="Reshape_41044_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="613148" size="192" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="163" name="Reshape_41044" 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>
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+					<dim>1</dim>
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+			</input>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="/backbone/stage3/stage3.1/main_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/main_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="/backbone/stage3/stage3.1/main_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage3/stage3.1/main_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="onnx::Conv_1857_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="613340" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1857">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="onnx::Conv_1857" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
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+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
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+		<layer id="168" name="/backbone/stage3/stage3.1/blocks/blocks.0/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>96</dim>
+					<dim>3</dim>
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+			</input>
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+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 96, 1, 1" offset="779228" size="192" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="170" name="Reshape_41062" 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>
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+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="171" name="/backbone/stage3/stage3.1/blocks/blocks.0/conv1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv1/conv/Conv_output_0">
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+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv1/activation/Mul_output_0">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="173" name="Reshape_41075_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="174" name="Reshape_41075" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
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+			</output>
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+		<layer id="175" name="/backbone/stage3/stage3.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
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+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="177" name="Reshape_41127" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv2/depthwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
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+			<data element_type="f16" shape="96, 96, 1, 1" offset="784412" size="18432" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1863">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="181" name="onnx::Conv_1863" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>96</dim>
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+					<dim>96</dim>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+				<port id="1" precision="FP32">
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+					<dim>96</dim>
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+			</output>
+		</layer>
+		<layer id="184" name="Reshape_41145" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv_output_0">
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+					<dim>40</dim>
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+			</output>
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+				<port id="1" precision="FP32" names="/backbone/stage3/stage3.1/blocks/blocks.0/conv2/pointwise_conv/activation/Mul_output_0">
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+			</output>
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+			<output>
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+			</output>
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+			<data element_type="f16" shape="96, 192, 1, 1" offset="803036" size="36864" />
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+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="189" name="onnx::Conv_1851" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>192</dim>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="/backbone/stage3/stage3.1/short_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			</output>
+		</layer>
+		<layer id="191" name="Reshape_41026_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="839900" size="192" />
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+			</output>
+		</layer>
+		<layer id="192" name="Reshape_41026" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+			</output>
+		</layer>
+		<layer id="193" name="/backbone/stage3/stage3.1/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/short_conv/conv/Conv_output_0">
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+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="195" name="/backbone/stage3/stage3.1/Concat" type="Concat" version="opset1">
+			<data axis="1" />
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="196" name="Range_41159" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="46920" size="16" />
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+				<port id="0" precision="I64">
+					<dim>2</dim>
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+			<data keep_dims="true" />
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+				<port id="1" precision="I64">
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+				<port id="2" precision="FP32" names="/backbone/stage3/stage3.1/attention/global_avgpool/GlobalAveragePool_output_0">
+					<dim>1</dim>
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+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16" />
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16" />
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+			<output>
+				<port id="1" precision="FP32" />
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+		<layer id="206" name="Constant_41182_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="207" name="Constant_41182" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16" />
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+				<port id="1" precision="FP32" />
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+		</layer>
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+				<port id="0" precision="FP32">
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+			</output>
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+			<data auto_broadcast="numpy" />
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+			</output>
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+					<dim>192</dim>
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+					<dim>1</dim>
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+			</output>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+		<layer id="214" name="Reshape_41197" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+			</output>
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+			<data destination_type="f32" />
+			<rt_info>
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+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="/backbone/stage4/stage4.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="onnx::Conv_1872_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="192, 384, 1, 1" offset="2316188" size="147456" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1872">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="onnx::Conv_1872" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="/backbone/stage4/stage4.1/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="Reshape_41233_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 192, 1, 1" offset="2463644" 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="228" name="Reshape_41233" 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="229" name="/backbone/stage4/stage4.1/conv1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</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="/backbone/stage4/stage4.1/conv1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="/backbone/stage4/stage4.1/conv1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.1/conv1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="/backbone/stage4/stage4.1/poolings.0/MaxPool" type="MaxPool" version="opset8">
+			<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.1/poolings.0/MaxPool_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="/backbone/stage4/stage4.1/poolings.1/MaxPool" type="MaxPool" version="opset8">
+			<data strides="1, 1" dilations="1, 1" pads_begin="4, 4" pads_end="4, 4" kernel="9, 9" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.1/poolings.1/MaxPool_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="/backbone/stage4/stage4.1/poolings.2/MaxPool" type="MaxPool" version="opset8">
+			<data strides="1, 1" dilations="1, 1" pads_begin="6, 6" pads_end="6, 6" kernel="13, 13" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.1/poolings.2/MaxPool_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="/backbone/stage4/stage4.1/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/backbone/stage4/stage4.1/Concat_output_0">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="onnx::Conv_1875_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="384, 768, 1, 1" offset="2464028" size="589824" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1875">
+					<dim>384</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="onnx::Conv_1875" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>384</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>384</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="/backbone/stage4/stage4.1/conv2/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>384</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="Reshape_41255_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 384, 1, 1" offset="3053852" size="768" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="Reshape_41255" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="/backbone/stage4/stage4.1/conv2/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage4/stage4.1/conv2/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="/backbone/stage4/stage4.1/conv2/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.1/conv2/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="onnx::Conv_1881_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="192, 384, 1, 1" offset="3054620" size="147456" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1881">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="onnx::Conv_1881" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="244" name="/backbone/stage4/stage4.2/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="Reshape_41291_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 192, 1, 1" offset="3202076" 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="246" name="Reshape_41291" 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="247" name="/backbone/stage4/stage4.2/main_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</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="/backbone/stage4/stage4.2/main_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="/backbone/stage4/stage4.2/main_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.2/main_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="onnx::Conv_1884_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="192, 192, 3, 3" offset="3202460" size="663552" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1884">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="onnx::Conv_1884" 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>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="/backbone/stage4/stage4.2/blocks/blocks.0/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
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+		</layer>
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="Reshape_41423_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 384, 1, 1" offset="4393244" size="768" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="Reshape_41423" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="/backbone/stage4/stage4.2/attention/fc/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage4/stage4.2/attention/fc/Conv_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="Constant_41427_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51640" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="287" name="Constant_41427" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="288" name="Constant_41428_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="51642" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="289" name="Constant_41428" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="290" name="/backbone/stage4/stage4.2/attention/act/HardSigmoid" type="HardSigmoid" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/backbone/stage4/stage4.2/attention/act/HardSigmoid_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="/backbone/stage4/stage4.2/attention/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage4/stage4.2/attention/Mul_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="onnx::Conv_1893_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="384, 384, 1, 1" offset="4394012" size="294912" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1893">
+					<dim>384</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="onnx::Conv_1893" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>384</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>384</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="/backbone/stage4/stage4.2/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>384</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="Reshape_41443_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 384, 1, 1" offset="4688924" size="768" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="Reshape_41443" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="/backbone/stage4/stage4.2/final_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/backbone/stage4/stage4.2/final_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="/backbone/stage4/stage4.2/final_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/backbone/stage4/stage4.2/final_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="onnx::Conv_1896_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="192, 384, 1, 1" offset="4689692" size="147456" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1896">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="onnx::Conv_1896" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="/neck/reduce_layers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="Reshape_41461_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 192, 1, 1" offset="4837148" 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="303" name="Reshape_41461" 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="304" name="/neck/reduce_layers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</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="/neck/reduce_layers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="/neck/reduce_layers.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/reduce_layers.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="/neck/upsample/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="4837532" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/neck/upsample/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="/neck/upsample/Resize" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/upsample/Resize_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="/neck/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/Concat_output_0">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="onnx::Conv_1902_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 384, 1, 1" offset="4837548" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1902">
+					<dim>96</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="onnx::Conv_1902" 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>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="/neck/top_down_blocks.0/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>384</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="Reshape_41501_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="4911276" 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="313" name="Reshape_41501" 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="314" name="/neck/top_down_blocks.0/main_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</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="/neck/top_down_blocks.0/main_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="/neck/top_down_blocks.0/main_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/main_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="onnx::Conv_1905_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="4911468" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1905">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="onnx::Conv_1905" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="/neck/top_down_blocks.0/blocks/blocks.0/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="Reshape_41519_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="5077356" size="192" />
+			<output>
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="Reshape_41519" 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="321" name="/neck/top_down_blocks.0/blocks/blocks.0/conv1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
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+					<dim>40</dim>
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+				<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="/neck/top_down_blocks.0/blocks/blocks.0/conv1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="/neck/top_down_blocks.0/blocks/blocks.0/conv1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/blocks/blocks.0/conv1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="Reshape_41532_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 1, 1, 5, 5" offset="5077548" size="4800" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="324" name="Reshape_41532" 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>
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+			<output>
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+					<dim>96</dim>
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+					<dim>1</dim>
+					<dim>5</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/depthwise_conv/conv/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>5</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
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+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="326" name="Reshape_41584_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="5082348" size="192" />
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+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="327" name="Reshape_41584" 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>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/depthwise_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
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+				<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="/neck/top_down_blocks.0/blocks/blocks.0/conv2/depthwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/depthwise_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>40</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/blocks/blocks.0/conv2/depthwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="onnx::Conv_1911_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 1, 1" offset="5082540" size="18432" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1911">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="onnx::Conv_1911" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>96</dim>
+					<dim>96</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="332" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/pointwise_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="333" name="Reshape_41602_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="5100972" size="192" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="334" name="Reshape_41602" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>96</dim>
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+			</output>
+		</layer>
+		<layer id="335" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/pointwise_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.0/blocks/blocks.0/conv2/pointwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="/neck/top_down_blocks.0/blocks/blocks.0/conv2/pointwise_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/blocks/blocks.0/conv2/pointwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="onnx::Conv_1899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 384, 1, 1" offset="5101164" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1899">
+					<dim>96</dim>
+					<dim>384</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="onnx::Conv_1899" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>384</dim>
+					<dim>1</dim>
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+					<dim>384</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="339" name="/neck/top_down_blocks.0/short_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>384</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="340" name="Reshape_41483_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="341" name="Reshape_41483" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>96</dim>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="/neck/top_down_blocks.0/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.0/short_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
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+			</output>
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+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/short_conv/activation/Mul_output_0">
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="/neck/top_down_blocks.0/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
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+				</port>
+			</input>
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+				<port id="2" precision="FP32" names="/neck/top_down_blocks.0/Concat_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
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+			</output>
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+			<data element_type="f16" shape="192, 192, 1, 1" offset="5175084" size="73728" />
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+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="onnx::Conv_1914" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>192</dim>
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+			</output>
+		</layer>
+		<layer id="347" name="/neck/top_down_blocks.0/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="Reshape_41621_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 192, 1, 1" offset="5248812" 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="349" name="Reshape_41621" 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="350" name="/neck/top_down_blocks.0/final_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.0/final_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="/neck/top_down_blocks.0/final_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.0/final_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="onnx::Conv_1917_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 192, 1, 1" offset="5249196" size="36864" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1917">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="onnx::Conv_1917" 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>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="/neck/reduce_layers.1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
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+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="Reshape_41639_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="5286060" 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="356" name="Reshape_41639" 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="357" name="/neck/reduce_layers.1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</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="/neck/reduce_layers.1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="/neck/reduce_layers.1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/reduce_layers.1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="/neck/upsample_1/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="4837532" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/neck/upsample_1/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="/neck/upsample_1/Resize" type="Interpolate" version="opset11">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/upsample_1/Resize_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="/neck/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/Concat_1_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="onnx::Conv_1923_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 192, 1, 1" offset="5286252" size="18432" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1923">
+					<dim>48</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="onnx::Conv_1923" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="/neck/top_down_blocks.1/main_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
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+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="Reshape_41679_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="5304684" size="96" />
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="366" name="Reshape_41679" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="/neck/top_down_blocks.1/main_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/main_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="/neck/top_down_blocks.1/main_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.1/main_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="onnx::Conv_1926_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="5304780" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1926">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="onnx::Conv_1926" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="/neck/top_down_blocks.1/blocks/blocks.0/conv1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="Reshape_41697_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="5346252" size="96" />
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="Reshape_41697" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="/neck/top_down_blocks.1/blocks/blocks.0/conv1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+			<input>
+				<port id="0" precision="FP32">
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+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="376" name="Reshape_41710_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 1, 1, 5, 5" offset="5346348" size="2400" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="377" name="Reshape_41710" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5</dim>
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+			</output>
+		</layer>
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+			<data strides="1, 1" pads_begin="2, 2" pads_end="2, 2" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>5</dim>
+					<dim>5</dim>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="379" name="Reshape_41762_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="5348748" size="96" />
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+			</output>
+		</layer>
+		<layer id="380" name="Reshape_41762" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="/neck/top_down_blocks.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv2/depthwise_conv/conv/Conv_output_0">
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+					<dim>80</dim>
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+				</port>
+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv2/depthwise_conv/activation/Mul_output_0">
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="384" name="onnx::Conv_1932" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+			</output>
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+		<layer id="385" name="/neck/top_down_blocks.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			</output>
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+			</output>
+		</layer>
+		<layer id="387" name="Reshape_41780" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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+		</layer>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv2/pointwise_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
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+			<output>
+				<port id="1" precision="FP32" names="/neck/top_down_blocks.1/blocks/blocks.0/conv2/pointwise_conv/activation/Mul_output_0">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="391" name="onnx::Conv_1920" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			</output>
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+			</output>
+		</layer>
+		<layer id="394" name="Reshape_41661" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
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+			</output>
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+		<layer id="395" name="/neck/top_down_blocks.1/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/short_conv/conv/Conv_output_0">
+					<dim>1</dim>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
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+			<data axis="1" />
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+				<port id="0" precision="FP32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/Concat_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="onnx::Conv_1935" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
+		<layer id="400" name="/neck/top_down_blocks.1/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="2" precision="FP32" names="/neck/top_down_blocks.1/final_conv/conv/Conv_output_0">
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+					<dim>1</dim>
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+					<dim>80</dim>
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+			</output>
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+			</output>
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+		<layer id="406" name="onnx::Conv_1980" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			</output>
+		</layer>
+		<layer id="409" name="Reshape_42167" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="/neck/out_convs.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+			</input>
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+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="/neck/out_convs.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
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+			</input>
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+				<port id="1" precision="FP32" names="/neck/out_convs.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="onnx::Conv_2007_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="5556780" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_2007">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="413" name="onnx::Conv_2007" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+		<layer id="416" name="Reshape_42454" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
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+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/kernel_convs.0.0/conv/Conv_output_0">
+					<dim>1</dim>
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="onnx::Conv_2010_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="5722860" size="165888" />
+			<output>
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+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="420" name="onnx::Conv_2010" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		<layer id="430" name="Reshape_42490" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="2" precision="FP32" names="/bbox_head/rtm_kernel.0/Conv_output_0">
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="432" name="Constant_43230" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5921726" size="32" />
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="/Transpose_6_output_0">
+					<dim>1</dim>
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+			<data special_zero="true" />
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+			</output>
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="437" name="onnx::Conv_1938" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
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+			</input>
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+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
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+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="/neck/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
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+			<output>
+				<port id="2" precision="FP32" names="/neck/Concat_2_output_0">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
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+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="445" name="onnx::Conv_1944" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<attribute name="decompression" version="0" />
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+			</output>
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+			<data auto_broadcast="numpy" />
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+		<layer id="462" name="Reshape_41937" type="Convert" version="opset1">
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+		</layer>
+		<layer id="472" name="onnx::Conv_1941_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 192, 1, 1" offset="6314614" size="36864" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1941">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="onnx::Conv_1941" 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>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="/neck/bottom_up_blocks.0/short_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="Reshape_41836_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="6351478" 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="476" name="Reshape_41836" 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="477" name="/neck/bottom_up_blocks.0/short_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</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="/neck/bottom_up_blocks.0/short_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="/neck/bottom_up_blocks.0/short_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/bottom_up_blocks.0/short_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="/neck/bottom_up_blocks.0/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/bottom_up_blocks.0/Concat_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="onnx::Conv_1956_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="192, 192, 1, 1" offset="6351670" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1956">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="onnx::Conv_1956" 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>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="/neck/bottom_up_blocks.0/final_conv/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>192</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="Reshape_41974_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 192, 1, 1" offset="6425398" 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="484" name="Reshape_41974" 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="485" name="/neck/bottom_up_blocks.0/final_conv/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/neck/bottom_up_blocks.0/final_conv/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="/neck/bottom_up_blocks.0/final_conv/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/bottom_up_blocks.0/final_conv/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="onnx::Conv_1983_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 192, 3, 3" offset="6425782" size="331776" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1983">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="onnx::Conv_1983" 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>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="/neck/out_convs.1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>192</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>192</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="Reshape_42185_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="6757558" 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="491" name="Reshape_42185" 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="492" name="/neck/out_convs.1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</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="/neck/out_convs.1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="/neck/out_convs.1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/neck/out_convs.1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="onnx::Conv_2025_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="6757750" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_2025">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="onnx::Conv_2025" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="/bbox_head/kernel_convs.1.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="Reshape_42613_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="6923638" 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="498" name="Reshape_42613" 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="499" name="/bbox_head/kernel_convs.1.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</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="/bbox_head/kernel_convs.1.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="/bbox_head/kernel_convs.1.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/bbox_head/kernel_convs.1.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="onnx::Conv_2028_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="6923830" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_2028">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="onnx::Conv_2028" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="/bbox_head/kernel_convs.1.1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>384</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="570" name="onnx::Conv_1986" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+			</output>
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+			</output>
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+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
+		<layer id="881" name="Concat_43343" type="Concat" version="opset1">
+			<data axis="0" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="/Flatten" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Flatten_output_0">
+					<dim>8400</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="Constant_43176" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Transpose_output_0">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="Constant_57683" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="/Reshape_18" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_18_output_0">
+					<dim>1</dim>
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+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="887" name="Constant_43195" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="888" name="/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>40</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Transpose_1_output_0">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="Constant_57684" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="11154812" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
+		<layer id="890" name="/Reshape_19" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_19_output_0">
+					<dim>1</dim>
+					<dim>1600</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="891" name="Constant_43199" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="892" name="/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>20</dim>
+					<dim>20</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="893" name="Constant_57685" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="11154812" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="/Reshape_20" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>20</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_20_output_0">
+					<dim>1</dim>
+					<dim>400</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="895" name="/Concat_27" type="Concat" version="opset1">
+			<data axis="1" />
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+				<port id="0" precision="FP32">
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+					<dim>2</dim>
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+				<port id="1" precision="FP32">
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+				<port id="2" precision="FP32">
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+					<dim>2</dim>
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+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/Concat_27_output_0">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="896" name="/Sigmoid" type="Sigmoid" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/Sigmoid_output_0">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="897" name="Constant_43293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="898" name="/ReduceMax" type="ReduceMax" version="opset1">
+			<data keep_dims="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/ReduceMax_output_0">
+					<dim>1</dim>
+					<dim>8400</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="899" name="/Constant_72" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="11154836" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/Constant_72_output_0" />
+			</output>
+		</layer>
+		<layer id="900" name="ShapeOf_57620" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+				</port>
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+			<output>
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+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="901" name="Constant_57621" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="902" name="Constant_57622" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="903" name="Gather_57623" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="I64" names="/Add_2_output_0,/Gather_20_output_0" />
+			</output>
+		</layer>
+		<layer id="904" name="/Less" type="Less" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="BOOL" names="/Less_output_0" />
+			</output>
+		</layer>
+		<layer id="905" name="Constant_902" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="11154836" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Where_1220" />
+			</output>
+		</layer>
+		<layer id="906" name="/Where" type="Select" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="BOOL" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Where_output_0" />
+			</output>
+		</layer>
+		<layer id="907" name="Constant_47911" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="908" name="/Reshape_27" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Reshape_27_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="909" name="Constant_43307" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="910" name="Squeeze_43308" type="Squeeze" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" />
+			</output>
+		</layer>
+		<layer id="911" name="/TopK" type="TopK" version="opset11">
+			<data axis="1" mode="max" sort="value" index_element_type="i64" stable="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/TopK_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+				<port id="3" precision="I64" names="/TopK_output_1">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="912" name="/Constant_74" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_74_output_0" />
+			</output>
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+		<layer id="913" name="ShapeOf_57585" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
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+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="914" name="Constant_57586" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="915" name="Constant_57587" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64" />
+			</output>
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+		<layer id="916" name="Gather_57588" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64" />
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+			</output>
+		</layer>
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			<output>
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+			</output>
+		</layer>
+		<layer id="918" name="/Constant_75" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_75_output_0" />
+			</output>
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+		<layer id="919" name="/Range_6" type="Range" version="opset4">
+			<data output_type="i64" />
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+				<port id="1" precision="I64" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data element_type="i64" shape="2" offset="11154844" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64" names="/Constant_76_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>1</dim>
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+			</output>
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+				<port id="0" precision="I64" names="/Constant_77_output_0">
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+			</output>
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+				<port id="0" precision="I64" />
+			</output>
+		</layer>
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+				<port id="0" precision="I64">
+					<dim>3</dim>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I64" names="/Mul_6_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="926" name="/Add_3" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+				<port id="1" precision="I64">
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Add_3_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="927" name="Constant_43367" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="928" name="/Gather_23" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8400</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+					<dim>300</dim>
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+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/Gather_23_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="929" name="Constant_57686" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="11154860" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
+		<layer id="930" name="/Reshape_29" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_29_output_0">
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="931" name="/Shape_22" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/Shape_22_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="932" name="/Constant_78" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64" names="/Constant_78_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="933" name="Constant_43332" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="934" name="/Gather_22" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_22_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="935" name="/Concat_33" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Concat_33_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="936" name="/Reshape_30" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_30_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="937" name="/Shape_19" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/Shape_19_output_0,/Shape_23_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="938" name="Constant_43388" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="939" name="Constant_43387" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="940" name="Constant_43389" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="StridedSlice_43390" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="942" name="Constant_43391" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="943" name="ReduceProd_43392" type="ReduceProd" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
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+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
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+		<layer id="944" name="Constant_43393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="945" name="Concat_43394" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="946" name="/Flatten_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Flatten_1_output_0">
+					<dim>8400</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="947" name="/Constant_80" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_80_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="948" name="Constant_43380" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="949" name="/Gather_24" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="I64" names="/Gather_24_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
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+		<layer id="950" name="/Mul_7" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
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+		<layer id="951" name="/Add_4" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+				<port id="1" precision="I64">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Add_4_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="952" name="Constant_43418" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
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+		<layer id="953" name="/Gather_26" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8400</dim>
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+					<dim>300</dim>
+				</port>
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="FP32" names="/Gather_26_output_0">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="precise" version="0" />
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+				</port>
+			</output>
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+		<layer id="955" name="/Reshape_31" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_31_output_0">
+					<dim>300</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="956" name="/Shape_24" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
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+			<output>
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+			</output>
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+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64" names="/Constant_81_output_0">
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+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64" />
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+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
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+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="I64" names="/Gather_25_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data axis="0" />
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+				<port id="0" precision="I64">
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I64" names="/Concat_35_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>300</dim>
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>2</dim>
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+			</output>
+		</layer>
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+				<port id="0" precision="I64">
+					<dim>3</dim>
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+			</output>
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+		<layer id="963" name="/Transpose_9" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>2</dim>
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+			<output>
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+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>300</dim>
+				</port>
+			</output>
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+			<data element_type="i64" shape="" offset="11154916" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_83_output_0" />
+			</output>
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+			<output>
+				<port id="0" precision="FP16" />
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+		<layer id="966" name="Constant_43432" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<output>
+				<port id="1" precision="FP32" />
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+			<data element_type="f16" shape="" offset="11154924" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="968" name="Constant_43433" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="969" name="/NonMaxSuppression" type="NonMaxSuppression" version="opset9">
+			<data box_encoding="corner" sort_result_descending="false" output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>300</dim>
+				</port>
+				<port id="2" precision="I64" />
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/NonMaxSuppression_output_0">
+					<dim>-1</dim>
+					<dim>3</dim>
+				</port>
+				<port id="6" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+				</port>
+				<port id="7" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="970" name="Constant_43435" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="971" name="/Gather_27" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_27_output_0">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="Constant_43591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="/Unsqueeze_35" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Unsqueeze_35_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="/Equal" type="Equal" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="BOOL" names="/Equal_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="975" name="/Shape_32" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/Shape_32_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="976" name="Constant_43679" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="977" name="ReduceProd_43680" type="ReduceProd" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="978" name="Constant_43681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="979" name="Concat_43682" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="980" name="/Flatten_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>300</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Flatten_4_output_0">
+					<dim>300</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="981" name="Constant_43439" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="982" name="/Gather_29" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_29_output_0">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="983" name="/Constant_107" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_107_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="984" name="Constant_43671" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="985" name="/Gather_37" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_37_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="986" name="/Mul_12" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Mul_12_output_0">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="987" name="/Add_8" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Add_8_output_0">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="988" name="Constant_43706" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="989" name="/Gather_38" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>300</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_38_output_0">
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="990" name="Constant_47912" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="991" name="/Reshape_37" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Reshape_37_output_0,/Reshape_38_output_0">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="992" name="Constant_43714" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="/Unsqueeze_45" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Expand_8_output_0,/Unsqueeze_45_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="994" name="/Constant_97" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/Constant_97_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="995" name="/Concat_42" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Concat_42_output_0,/Concat_43_output_0,/Concat_44_output_0,/Concat_45_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="996" name="/Tile_2" type="Tile" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Tile_2_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="997" name="/Constant_109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_109_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="998" name="/Where_3" type="Select" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="BOOL">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
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+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Where_3_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="999" name="Constant_43739" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1000" name="Constant_43594" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1001" name="/Unsqueeze_36" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="BOOL">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="BOOL" names="/Unsqueeze_36_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1002" name="/Shape_27" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/Shape_27_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1003" name="Constant_43506" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
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+				</port>
+			</output>
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+		<layer id="1004" name="Constant_43505" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
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+		<layer id="1005" name="Constant_43507" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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+		<layer id="1006" name="StridedSlice_43508" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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+					<dim>3</dim>
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+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64" />
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+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
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+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			</output>
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+					<dim>1</dim>
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+					<dim>2</dim>
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+			</output>
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>300</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="FP32" names="/Flatten_3_output_0">
+					<dim>300</dim>
+					<dim>4</dim>
+				</port>
+			</output>
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+			<data element_type="i64" shape="1" offset="10154730" size="8" />
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1145" name="StridedSlice_44090" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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+				<port id="0" precision="I64">
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+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1146" name="Constant_44091" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1147" name="ReduceProd_44092" type="ReduceProd" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
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+				<port id="1" precision="I64" />
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+			<output>
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+				</port>
+			</output>
+		</layer>
+		<layer id="1148" name="Constant_44093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154738" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1149" name="Concat_44094" type="Concat" version="opset1">
+			<data axis="0" />
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+				<port id="0" precision="I64">
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+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1150" name="/Flatten_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>4</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Flatten_9_output_0">
+					<dim>8400</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1151" name="/Constant_135" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_135_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1152" name="Constant_44080" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1153" name="/Gather_52" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_52_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1154" name="/Mul_17" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Mul_17_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1155" name="/Add_14" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Add_14_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1156" name="Constant_44118" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1157" name="/Gather_54" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>8400</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
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+			<output>
+				<port id="3" precision="FP32" names="/Gather_54_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1158" name="Constant_57697" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="11154860" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="1159" name="/Reshape_50" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_50_output_0">
+					<dim>-1</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="/Shape_47" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>-1</dim>
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+			<output>
+				<port id="1" precision="I64" names="/Shape_47_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="/Constant_136" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/Constant_136_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1162" name="Constant_44083" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1163" name="/Gather_53" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/Gather_53_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1164" name="/Concat_62" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/Concat_62_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1165" name="/Reshape_51" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Reshape_51_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1166" name="Constant_44243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1167" name="/Unsqueeze_55" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Unsqueeze_55_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1168" name="/Constant_161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_161_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1169" name="/Constant_162" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_162_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1170" name="/Constant_163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_163_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1171" name="/Constant_160" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10487294" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_160_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1172" name="/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="/Slice_output_0">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1173" name="/Constant_142" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/Constant_142_output_0" />
+			</output>
+		</layer>
+		<layer id="1174" name="/bbox_head/mask_head/Shape_2" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/bbox_head/mask_head/Shape_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1175" name="/bbox_head/mask_head/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1176" name="/bbox_head/mask_head/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_6_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1177" name="Broadcast_42235" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1178" name="/bbox_head/mask_head/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1179" name="/bbox_head/mask_head/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/bbox_head/mask_head/Slice_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1180" name="/bbox_head/mask_head/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/bbox_head/mask_head/Shape_1_output_0,/bbox_head/mask_head/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1181" name="Constant_55225" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="46920" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1182" name="Constant_55226" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="1183" name="Gather_55227" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/bbox_head/mask_head/Cast_1_output_0,/bbox_head/mask_head/Cast_output_0,/bbox_head/mask_head/Concat_1_output_0,/bbox_head/mask_head/Concat_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1184" name="/bbox_head/mask_head/Concat_2" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/bbox_head/mask_head/Concat_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1185" name="/bbox_head/mask_head/Resize" type="Interpolate" version="opset11">
+			<data mode="linear_onnx" shape_calculation_mode="sizes" coordinate_transformation_mode="half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
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+				<port id="0" precision="FP32">
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+					<dim>96</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/mask_head/Resize_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1186" name="/bbox_head/mask_head/Shape_3" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/bbox_head/mask_head/Shape_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1187" name="/bbox_head/mask_head/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_10_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1188" name="/bbox_head/mask_head/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_11_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1189" name="Broadcast_42263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154730" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1190" name="/bbox_head/mask_head/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154714" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/bbox_head/mask_head/Constant_9_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1191" name="/bbox_head/mask_head/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/bbox_head/mask_head/Slice_1_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1192" name="/bbox_head/mask_head/Concat_3" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/bbox_head/mask_head/Concat_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1193" name="/bbox_head/mask_head/Resize_1" type="Interpolate" version="opset11">
+			<data mode="linear_onnx" shape_calculation_mode="sizes" coordinate_transformation_mode="half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/mask_head/Resize_1_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1194" name="/bbox_head/mask_head/Concat_4" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/bbox_head/mask_head/Concat_4_output_0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1195" name="model.bbox_head.mask_head.fusion_conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 288, 1, 1" offset="11155168" size="55296" />
+			<output>
+				<port id="0" precision="FP16" names="model.bbox_head.mask_head.fusion_conv.weight">
+					<dim>96</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1196" name="model.bbox_head.mask_head.fusion_conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>96</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1197" name="/bbox_head/mask_head/fusion_conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1198" name="Reshape_42298_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="11210464" 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="1199" name="Reshape_42298" 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="1200" name="/bbox_head/mask_head/fusion_conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/mask_head/fusion_conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="onnx::Conv_1989_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="11210656" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1989">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1202" name="onnx::Conv_1989" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1203" name="/bbox_head/mask_head/stacked_convs/stacked_convs.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1204" name="Reshape_42314_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="11376544" 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="1205" name="Reshape_42314" 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="1206" name="/bbox_head/mask_head/stacked_convs/stacked_convs.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/mask_head/stacked_convs/stacked_convs.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1207" name="/bbox_head/mask_head/stacked_convs/stacked_convs.0/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/bbox_head/mask_head/stacked_convs/stacked_convs.0/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1208" name="onnx::Conv_1992_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="11376736" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1992">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1209" name="onnx::Conv_1992" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1210" name="/bbox_head/mask_head/stacked_convs/stacked_convs.1/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1211" name="Reshape_42332_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 96, 1, 1" offset="11542624" 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="1212" name="Reshape_42332" 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="1213" name="/bbox_head/mask_head/stacked_convs/stacked_convs.1/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/bbox_head/mask_head/stacked_convs/stacked_convs.1/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="/bbox_head/mask_head/stacked_convs/stacked_convs.1/activation/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/bbox_head/mask_head/stacked_convs/stacked_convs.1/activation/Mul_output_0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1215" name="onnx::Conv_1995_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="96, 96, 3, 3" offset="11542816" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="onnx::Conv_1995">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1216" name="onnx::Conv_1995" 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>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1217" name="/bbox_head/mask_head/stacked_convs/stacked_convs.2/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>96</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1219" name="Reshape_42350" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+			<data auto_broadcast="numpy" />
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+					<dim>96</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+				<port id="0" precision="FP32">
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+		<layer id="1222" name="onnx::Conv_1998_compressed" type="Const" version="opset1">
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="1223" name="onnx::Conv_1998" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+		<layer id="1224" name="/bbox_head/mask_head/stacked_convs/stacked_convs.3/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
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+			</output>
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+		<layer id="1226" name="Reshape_42368" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
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+			<data auto_broadcast="numpy" />
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
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+					<dim>80</dim>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<attribute name="decompression" version="0" />
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+			</input>
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+				<port id="0" precision="I64" names="/Constant_143_output_0" />
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+			</output>
+		</layer>
+		<layer id="1341" name="/MatMul_1" type="MatMul" version="opset1">
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+					<dim>-1</dim>
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+			</output>
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+			</output>
+		</layer>
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Flatten_11_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			</output>
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+		<layer id="1352" name="Constant_44536" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="1353" name="/Unsqueeze_70" type="Unsqueeze" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			<output>
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+					<dim>-1</dim>
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+		</layer>
+		<layer id="1354" name="/Add_16" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<output>
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+			<data min="0" max="3.4028234663852886e+38" />
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+			</output>
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+			<data transpose_a="false" transpose_b="false" />
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+			<data element_type="i64" shape="1" offset="10154714" size="8" />
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+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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+				<port id="0" precision="I64">
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
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+		<layer id="1367" name="Constant_44607" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10154722" size="8" />
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+					<dim>-1</dim>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<attribute name="precise" version="0" />
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+			<data mode="linear_onnx" shape_calculation_mode="scales" coordinate_transformation_mode="half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
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