diff --git "a/faceDetection/scrfd/openvino/camstack-scrfd-500m.xml" "b/faceDetection/scrfd/openvino/camstack-scrfd-500m.xml"
new file mode 100644--- /dev/null
+++ "b/faceDetection/scrfd/openvino/camstack-scrfd-500m.xml"
@@ -0,0 +1,9968 @@
+<?xml version="1.0"?>
+<net name="onnx_Frontend_IR" version="11">
+	<layers>
+		<layer id="0" name="input.1" type="Parameter" version="opset1">
+			<data shape="1,3,640,640" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="input.1">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="572_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="16, 3, 3, 3" offset="0" size="864" />
+			<output>
+				<port id="0" precision="FP16" names="572">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="572" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Conv_0/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Reshape_15_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 16, 1, 1" offset="864" size="32" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Reshape_15" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Conv_0" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="571">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Relu_1" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="217">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Reshape_27_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="16, 1, 1, 3, 3" offset="896" size="288" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Reshape_27" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Conv_2/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Reshape_77_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 16, 1, 1" offset="1184" size="32" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Reshape_77" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Conv_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="574">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Relu_3" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="220">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
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+		<layer id="15" name="578_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="16, 16, 1, 1" offset="1216" size="512" />
+			<output>
+				<port id="0" precision="FP16" names="578">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="578" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Conv_4/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>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Reshape_93_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 16, 1, 1" offset="1728" size="32" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Reshape_93" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Conv_4" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>16</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="577">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Relu_5" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="223">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Reshape_105_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="16, 1, 1, 3, 3" offset="1760" size="288" />
+			<output>
+				<port id="0" precision="FP16">
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+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Reshape_105" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>16</dim>
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+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Conv_6/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>3</dim>
+				</port>
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+			<output>
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+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
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+			<data element_type="f16" shape="1, 16, 1, 1" offset="2048" size="32" />
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+		</layer>
+		<layer id="26" name="Reshape_155" 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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+			<data auto_broadcast="numpy" />
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+		<layer id="30" name="584" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="31" name="Conv_8/WithoutBiases" type="Convolution" version="opset1">
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+		<layer id="33" 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>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Conv_8" 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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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="583">
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+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Relu_9" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="229">
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+			</output>
+		</layer>
+		<layer id="36" name="Reshape_183_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="40, 1, 1, 3, 3" offset="3440" size="720" />
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="37" name="Reshape_183" 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>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
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+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
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+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 40, 1, 1" offset="4160" size="80" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="40" 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">
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+					<dim>40</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>160</dim>
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+				<port id="1" precision="FP32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="586">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Relu_11" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="232">
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+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
+		</layer>
+		<layer id="43" name="590_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="40, 40, 1, 1" offset="4240" size="3200" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="44" name="590" 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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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="45" name="Conv_12/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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+				<port id="1" precision="FP32">
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+					<dim>40</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
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+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="Reshape_249_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 40, 1, 1" offset="7440" size="80" />
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="Reshape_249" 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">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="48" name="Conv_12" 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>
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+			</output>
+		</layer>
+		<layer id="49" name="Relu_13" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="235">
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+			</output>
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+		<layer id="50" name="Reshape_261_compressed" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="51" name="Reshape_261" 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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+					<dim>3</dim>
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+			</output>
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+			<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
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+					<dim>3</dim>
+					<dim>3</dim>
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+			<output>
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+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
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+			<data element_type="f16" shape="1, 40, 1, 1" offset="8240" size="80" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="54" name="Reshape_311" 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">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
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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="592">
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="56" name="Relu_15" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32" names="238">
+					<dim>1</dim>
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+					<dim>80</dim>
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+		<layer id="57" name="596_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="72, 40, 1, 1" offset="8320" size="5760" />
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+					<dim>1</dim>
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+			</output>
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+		<layer id="58" name="596" 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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+			<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>1</dim>
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+			</input>
+			<output>
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+					<dim>80</dim>
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+		<layer id="61" name="Reshape_327" type="Convert" version="opset1">
+			<data destination_type="f32" />
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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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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+		<layer id="65" name="Reshape_339" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="Conv_18/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="Reshape_389_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 72, 1, 1" offset="15520" size="144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="Reshape_389" 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>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="Conv_18" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="598">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="Relu_19" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="244">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="602_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="72, 72, 1, 1" offset="15664" size="10368" />
+			<output>
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+					<dim>72</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="72" name="602" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>72</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>72</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="73" name="Conv_20/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>
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+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>72</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="74" name="Reshape_405_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 72, 1, 1" offset="26032" size="144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="Reshape_405" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="Conv_20" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="601">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="Relu_21" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="247">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="78" name="Reshape_417_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16">
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+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="Reshape_417" 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>3</dim>
+					<dim>3</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="80" name="Conv_22/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" 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>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 72, 1, 1" offset="27472" size="144" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="82" name="Reshape_467" 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>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="Conv_22" 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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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="604">
+					<dim>1</dim>
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+					<dim>80</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="Relu_23" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32" names="250">
+					<dim>1</dim>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="85" name="608_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="72, 72, 1, 1" offset="27616" size="10368" />
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+					<dim>72</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="86" name="608" 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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+				<port id="1" precision="FP32">
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+					<dim>72</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="87" name="Conv_24/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>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 72, 1, 1" offset="37984" size="144" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="89" name="Reshape_483" 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>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="Conv_24" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<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>72</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="607">
+					<dim>1</dim>
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+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>72</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="253">
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+			</output>
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+		<layer id="92" name="Reshape_495_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="93" name="Reshape_495" 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>3</dim>
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+			</output>
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+			<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+					<dim>40</dim>
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+					<dim>1</dim>
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+		<layer id="96" name="Reshape_545" 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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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+			<output>
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+		</layer>
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+			</output>
+		</layer>
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+		</layer>
+		<layer id="103" name="Reshape_561" 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="0" precision="FP32">
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+		</layer>
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+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<data auto_broadcast="numpy" />
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+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<data destination_type="f32" />
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+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="Conv_36" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
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+				<port id="1" precision="FP32">
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="625">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="Relu_37" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="271">
+					<dim>1</dim>
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+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="134" name="Reshape_729_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="288, 1, 1, 3, 3" offset="202480" size="5184" />
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+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="Reshape_729" 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>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="Conv_38/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" 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>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="Reshape_779_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 288, 1, 1" offset="207664" size="576" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="138" name="Reshape_779" 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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="Conv_38" 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">
+					<dim>1</dim>
+					<dim>288</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="628">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="Relu_39" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="274">
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+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="141" name="632_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="288, 288, 1, 1" offset="208240" size="165888" />
+			<output>
+				<port id="0" precision="FP16" names="632">
+					<dim>288</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="632" 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>
+				<port id="1" precision="FP32">
+					<dim>288</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="143" name="Conv_40/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>
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+					<dim>20</dim>
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+				<port id="1" precision="FP32">
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="Reshape_795_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 288, 1, 1" offset="374128" size="576" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="Reshape_795" 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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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="Conv_40" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+					<dim>20</dim>
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+				<port id="1" precision="FP32">
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="631">
+					<dim>1</dim>
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+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="147" name="Relu_41" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="277">
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+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="148" name="Reshape_807_compressed" type="Const" version="opset1">
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+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="Reshape_807" 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>3</dim>
+					<dim>3</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="150" name="Conv_42/WithoutBiases" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 288, 1, 1" offset="379888" size="576" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="152" name="Reshape_857" 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>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="Conv_42" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>20</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="634">
+					<dim>1</dim>
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+					<dim>20</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="Relu_43" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+			<output>
+				<port id="1" precision="FP32" names="280">
+					<dim>1</dim>
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+					<dim>20</dim>
+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="155" name="638_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="288, 288, 1, 1" offset="380464" size="165888" />
+			<output>
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+					<dim>288</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="638" 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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+			<output>
+				<port id="1" precision="FP32">
+					<dim>288</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="157" name="Conv_44/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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+				<port id="1" precision="FP32">
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
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+					<dim>20</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 288, 1, 1" offset="546352" size="576" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="159" name="Reshape_873" 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>
+				</port>
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+			<output>
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="Conv_44" 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>288</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32" names="283">
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+					<dim>20</dim>
+					<dim>20</dim>
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+			</output>
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+		<layer id="162" name="Reshape_885_compressed" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="163" name="Reshape_885" 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>
+		</layer>
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+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" 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>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="Reshape_935_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 288, 1, 1" offset="552112" size="576" />
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="Reshape_935" 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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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="Conv_46" type="Add" version="opset1">
+			<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="640">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="168" name="Relu_47" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="169" name="644_compressed" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="170" name="644" 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>
+		</layer>
+		<layer id="171" name="Conv_48/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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+				<port id="2" precision="FP32">
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="Reshape_951_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 288, 1, 1" offset="718576" size="576" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="173" name="Reshape_951" 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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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="174" name="Conv_48" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="175" name="Relu_49" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
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+			</output>
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+		<layer id="176" name="Reshape_963_compressed" type="Const" version="opset1">
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="177" name="Reshape_963" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>20</dim>
+					<dim>20</dim>
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+			<data element_type="f16" shape="1, 288, 1, 1" offset="724336" size="576" />
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+			</output>
+		</layer>
+		<layer id="180" name="Reshape_1013" 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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+			</output>
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+		<layer id="181" name="Conv_50" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
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+				<port id="0" precision="FP32">
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+			<data element_type="f16" shape="288, 288, 1, 1" offset="724912" size="165888" />
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+		<layer id="184" name="650" 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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+			<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>1</dim>
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+			<output>
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+			<data element_type="f16" shape="1, 288, 1, 1" offset="890800" size="576" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="187" name="Reshape_1029" 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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+				<port id="1" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="Conv_52" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+		</layer>
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+			</output>
+		</layer>
+		<layer id="191" name="Reshape_1041" 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>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="0" precision="FP32">
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+		</layer>
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+			<data destination_type="f32" />
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