diff --git "a/Davinci_eye.xml" "b/Davinci_eye.xml"
new file mode 100644--- /dev/null
+++ "b/Davinci_eye.xml"
@@ -0,0 +1,3618 @@
+<?xml version="1.0"?>
+<net name="main_graph" version="11">
+	<layers>
+		<layer id="0" name="input" type="Parameter" version="opset1">
+			<data shape="?,3,512,512" element_type="f32" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="input">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_56" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_55" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_54_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="4" name="Constant_54" 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="5" name="/block1/block1.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block1/block1.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>514</dim>
+					<dim>514</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="onnx::Conv_210_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 3, 3, 3" offset="34" size="3456" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="onnx::Conv_210" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_210">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="/block1/block1.1/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>3</dim>
+					<dim>514</dim>
+					<dim>514</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Reshape_69_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="3490" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Reshape_69" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="/block1/block1.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block1/block1.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="/block1/block1.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block1/block1.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Constant_76" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_75" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_74_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="16" name="Constant_74" 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="17" name="/block2/block2.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block2/block2.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>514</dim>
+					<dim>514</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="onnx::Conv_213_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 3, 3" offset="3618" size="73728" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="onnx::Conv_213" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_213">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="/block2/block2.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>514</dim>
+					<dim>514</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Reshape_89_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="77346" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Reshape_89" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="/block2/block2.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block2/block2.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="/block2/block2.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block2/block2.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="/maxpool/MaxPool" type="MaxPool" version="opset8">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/maxpool/MaxPool_output_0">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_97" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_96" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="Constant_95_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="29" name="Constant_95" 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="30" name="/block3/block3.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block3/block3.0/Pad_output_0">
+					<dim>-1</dim>
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+					<dim>258</dim>
+					<dim>258</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="onnx::Conv_216_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 64, 3, 3" offset="77474" size="147456" />
+			<output>
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+					<dim>128</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="onnx::Conv_216" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_216">
+					<dim>128</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="/block3/block3.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>258</dim>
+					<dim>258</dim>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Reshape_110_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="224930" size="256" />
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+				<port id="0" precision="FP16">
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+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Reshape_110" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="36" name="/block3/block3.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
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+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block3/block3.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="/block3/block3.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block3/block3.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Constant_117" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Constant_116" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="Constant_115_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="41" name="Constant_115" 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="42" name="/block4/block4.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
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+				<port id="1" precision="I64">
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+				</port>
+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block4/block4.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>258</dim>
+					<dim>258</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="onnx::Conv_219_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="225186" size="294912" />
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+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="onnx::Conv_219" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_219">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="/block4/block4.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>258</dim>
+					<dim>258</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="Reshape_130_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="520098" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="Reshape_130" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="/block4/block4.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block4/block4.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="/block4/block4.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block4/block4.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="/maxpool_1/MaxPool" type="MaxPool" version="opset8">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/maxpool_1/MaxPool_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="Constant_138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Constant_137" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="Constant_136_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="54" name="Constant_136" 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="55" name="/block5/block5.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block5/block5.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>130</dim>
+					<dim>130</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="onnx::Conv_222_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 128, 3, 3" offset="520354" size="589824" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="onnx::Conv_222" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_222">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="/block5/block5.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>130</dim>
+					<dim>130</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="Reshape_151_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="1110178" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="Reshape_151" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="/block5/block5.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block5/block5.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="/block5/block5.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block5/block5.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="Constant_158" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="Constant_157" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="Constant_156_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="66" name="Constant_156" 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="67" name="/block6/block6.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block6/block6.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>130</dim>
+					<dim>130</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="onnx::Conv_225_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="1110690" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="onnx::Conv_225" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_225">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="/block6/block6.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>130</dim>
+					<dim>130</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="Reshape_171_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="2290338" size="512" />
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+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="Reshape_171" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="73" name="/block6/block6.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block6/block6.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="/block6/block6.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block6/block6.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="/maxpool_2/MaxPool" type="MaxPool" version="opset8">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/maxpool_2/MaxPool_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="Constant_179" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="Constant_178" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="Constant_177_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="79" name="Constant_177" 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="80" name="/block7/block7.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block7/block7.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>66</dim>
+					<dim>66</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="onnx::Conv_228_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 256, 3, 3" offset="2290850" size="2359296" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="onnx::Conv_228" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_228">
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="/block7/block7.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>66</dim>
+					<dim>66</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="Reshape_192_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4650146" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="Reshape_192" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="/block7/block7.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block7/block7.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="/block7/block7.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block7/block7.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="Constant_199" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="Constant_198" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="Constant_197_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="91" name="Constant_197" 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="92" name="/block8/block8.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block8/block8.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>66</dim>
+					<dim>66</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="onnx::Conv_231_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4651170" size="4718592" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="onnx::Conv_231" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_231">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="/block8/block8.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>66</dim>
+					<dim>66</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Reshape_212_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9369762" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Reshape_212" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="/block8/block8.1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/block8/block8.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="/block8/block8.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/block8/block8.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="/maxpool_3/MaxPool" type="MaxPool" version="opset8">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/maxpool_3/MaxPool_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="Constant_220" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="Constant_219" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="0" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="Constant_218_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="32" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="104" name="Constant_218" 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="105" name="/block9/block9.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/block9/block9.0/Pad_output_0">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>34</dim>
+					<dim>34</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="onnx::Conv_234_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 512, 3, 3" offset="9370786" size="9437184" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="onnx::Conv_234" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_234">
+					<dim>1024</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="/block9/block9.1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>512</dim>
+					<dim>34</dim>
+					<dim>34</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Reshape_233_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1024, 1, 1" offset="18807970" size="2048" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="Reshape_233" 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>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="/block9/block9.1/Conv" type="Add" version="opset1">
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="onnx::Conv_240" 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>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_240">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="/conv7/conv7.1/Conv/WithoutBiases" type="Convolution" version="opset1">
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+					<dim>130</dim>
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+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="Reshape_291_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="35851938" size="512" />
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+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="150" name="Reshape_291" 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>256</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="151" name="/conv7/conv7.1/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>256</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/conv7/conv7.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="/conv7/conv7.3/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/conv7/conv7.3/Relu_output_0">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="Multiply_1926_compressed" type="Const" version="opset1">
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+					<dim>128</dim>
+					<dim>2</dim>
+					<dim>2</dim>
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+			</output>
+		</layer>
+		<layer id="154" name="Multiply_1926" 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>128</dim>
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+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>2</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="Multiply_1893" type="ConvolutionBackpropData" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
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+					<dim>128</dim>
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+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>128</dim>
+					<dim>2</dim>
+					<dim>2</dim>
+				</port>
+			</input>
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+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
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+			</output>
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+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="157" name="Constant_1898" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="/up_conv8/up_conv8.1/BatchNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>256</dim>
+					<dim>256</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/up_conv8/up_conv8.1/BatchNormalization_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="/up_conv8/up_conv8.2/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
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+					<dim>256</dim>
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+				<port id="1" precision="FP32" names="/up_conv8/up_conv8.2/Relu_output_0">
+					<dim>-1</dim>
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+					<dim>256</dim>
+					<dim>256</dim>
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+			</output>
+		</layer>
+		<layer id="160" name="/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
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+				<port id="0" precision="FP32">
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+					<dim>256</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/Concat_2_output_0">
+					<dim>-1</dim>
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+					<dim>256</dim>
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+			</output>
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+			</output>
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="163" name="Constant_305_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16" />
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+		<layer id="164" name="Constant_305" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<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" />
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+		</layer>
+		<layer id="165" name="/conv8/conv8.0/Pad" type="Pad" version="opset1">
+			<data pad_mode="reflect" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>256</dim>
+					<dim>256</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="FP32" />
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+			<output>
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+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>258</dim>
+					<dim>258</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="128, 256, 3, 3" offset="36114850" size="589824" />
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+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="167" name="onnx::Conv_243" 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>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="onnx::Conv_243">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</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>256</dim>
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+			<output>
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+					<dim>256</dim>
+					<dim>256</dim>
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+			</output>
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+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="170" name="Reshape_320" 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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+			</output>
+		</layer>
+		<layer id="171" name="/conv8/conv8.1/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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+			<output>
+				<port id="2" precision="FP32" names="/conv8/conv8.1/Conv_output_0">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
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+			</output>
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+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>256</dim>
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+					<dim>-1</dim>
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+					<dim>256</dim>
+					<dim>256</dim>
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+					<dim>2</dim>
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+		<layer id="174" name="Multiply_1932" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>512</dim>
+					<dim>512</dim>
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+			<data auto_broadcast="numpy" />
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