diff --git "a/faceDetection/scrfd/openvino/camstack-scrfd-2.5g.xml" "b/faceDetection/scrfd/openvino/camstack-scrfd-2.5g.xml"
new file mode 100644--- /dev/null
+++ "b/faceDetection/scrfd/openvino/camstack-scrfd-2.5g.xml"
@@ -0,0 +1,8919 @@
+<?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="540_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="12, 3, 3, 3" offset="0" size="648" />
+			<output>
+				<port id="0" precision="FP16" names="540">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="540" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="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>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Reshape_6718_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 12, 1, 1" offset="648" size="24" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Reshape_6718" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Conv_0" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="539">
+					<dim>1</dim>
+					<dim>12</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>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="273">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="543_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="12, 12, 3, 3" offset="672" size="2592" />
+			<output>
+				<port id="0" precision="FP16" names="543">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="543" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Conv_2/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Reshape_6734_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 12, 1, 1" offset="3264" size="24" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Reshape_6734" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Conv_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="542">
+					<dim>1</dim>
+					<dim>12</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>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="276">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="546_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="24, 12, 3, 3" offset="3288" size="5184" />
+			<output>
+				<port id="0" precision="FP16" names="546">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="546" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Conv_4/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>12</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Reshape_6750_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 24, 1, 1" offset="8472" size="48" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Reshape_6750" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Conv_4" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>24</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="545">
+					<dim>1</dim>
+					<dim>24</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>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="279">
+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="MaxPool_6" 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>24</dim>
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+				<port id="2" precision="I64">
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+					<dim>160</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="549_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="24, 24, 3, 3" offset="8520" size="10368" />
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+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="549" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>24</dim>
+					<dim>24</dim>
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+				<port id="1" precision="FP32">
+					<dim>24</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Conv_7/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>24</dim>
+					<dim>160</dim>
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+			</output>
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+			<data destination_type="f32" />
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+		</layer>
+		<layer id="31" name="552" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+		</layer>
+		<layer id="32" name="Conv_9/WithoutBiases" type="Convolution" version="opset1">
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+		</layer>
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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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+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+			<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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+					<dim>1</dim>
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+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
+		</layer>
+		<layer id="66" name="Add_20" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="67" name="Relu_21" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>24</dim>
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+					<dim>160</dim>
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+			</output>
+		</layer>
+		<layer id="68" name="567_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 24, 3, 3" offset="71016" size="20736" />
+			<output>
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+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="567" 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">
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="70" name="Conv_22/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+				<port id="2" precision="FP32">
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+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="72" name="Reshape_6866" 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">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" 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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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="566">
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="74" name="Relu_23" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="304">
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+			</output>
+		</layer>
+		<layer id="75" name="570_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="91848" size="41472" />
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+			</output>
+		</layer>
+		<layer id="76" name="570" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="77" name="Conv_24/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
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+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="133320" size="96" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="79" name="Reshape_6882" 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>
+				</port>
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+		<layer id="81" name="AveragePool_25" type="AvgPool" version="opset1">
+			<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+		</layer>
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="86" name="Reshape_6898" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="572">
+					<dim>1</dim>
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+					<dim>80</dim>
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+			</output>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>80</dim>
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+					<dim>80</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
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+		<layer id="91" name="576" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>3</dim>
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+				</port>
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+					<dim>48</dim>
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+					<dim>3</dim>
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+			</output>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>3</dim>
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+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="94" name="Reshape_6915" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Conv_31/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="Reshape_6931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="218856" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="Reshape_6931" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="Conv_31" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="578">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="Add_32" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="317">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="Relu_33" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="318">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="582_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="218952" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="582">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="582" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="Conv_34/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="Reshape_6948_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="260424" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Reshape_6948" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="Conv_34" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="581">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="Relu_35" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="321">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="585_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="260520" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="585">
+					<dim>48</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="585" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="Conv_36/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="Reshape_6964_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="301992" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Reshape_6964" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="Conv_36" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="584">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="Add_37" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="324">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="Relu_38" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="325">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="588_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="302088" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="588">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="588" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="Conv_39/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="Reshape_6981_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="343560" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="Reshape_6981" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="Conv_39" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="587">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="Relu_40" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="328">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="591_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="343656" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="591">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="591" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="Conv_41/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="385128" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="Reshape_6997" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
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+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="133" name="Add_42" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="134" name="Relu_43" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="136" name="594" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>48</dim>
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+					<dim>3</dim>
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			</input>
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+				<port id="2" precision="FP32">
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+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="426696" size="96" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="139" name="Reshape_7014" 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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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" 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>1</dim>
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+			</input>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="141" name="Relu_45" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="335">
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="142" name="597_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="426792" size="41472" />
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+			</output>
+		</layer>
+		<layer id="143" name="597" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="144" name="Conv_46/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
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+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="468264" size="96" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="146" name="Reshape_7030" 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">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="147" name="Conv_46" 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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+					<dim>1</dim>
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+					<dim>80</dim>
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+			</output>
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+		<layer id="148" name="Add_47" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="149" name="Relu_48" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>80</dim>
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+			</output>
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+			<data element_type="f16" shape="48, 48, 3, 3" offset="468360" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="600">
+					<dim>48</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="600" 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>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="152" name="Conv_49/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="509832" size="96" />
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+				<port id="0" precision="FP16">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="154" name="Reshape_7047" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+				</port>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="Conv_49" 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>48</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="599">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="156" name="Relu_50" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
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+			<output>
+				<port id="1" precision="FP32" names="342">
+					<dim>1</dim>
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+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="603_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 48, 3, 3" offset="509928" size="41472" />
+			<output>
+				<port id="0" precision="FP16" names="603">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="603" 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>48</dim>
+					<dim>3</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="159" name="Conv_51/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>40</dim>
+					<dim>40</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 48, 1, 1" offset="551400" size="96" />
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="Reshape_7063" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="Conv_51" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+			</input>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>40</dim>
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+			</output>
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+		<layer id="163" name="AveragePool_52" type="AvgPool" version="opset1">
+			<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
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+					<dim>80</dim>
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+			<output>
+				<port id="1" precision="FP32" names="345">
+					<dim>1</dim>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="165" name="606" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="168" name="Reshape_7079" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="0" precision="FP32">
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+		<layer id="173" name="609" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+		<layer id="176" name="Reshape_7096" 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 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 id="0" precision="FP32">
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+				<attribute name="decompression" version="0" />
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+			<data destination_type="f32" />
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+					<dim>40</dim>
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+			</output>
+		</layer>
+		<layer id="197" name="Reshape_7145_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="722376" size="96" />
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="Reshape_7145" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="Conv_63" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="617">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>40</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="Add_64" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="201" name="Relu_65" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="202" name="621_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="80, 48, 3, 3" offset="722472" size="69120" />
+			<output>
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+					<dim>80</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="203" name="621" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>80</dim>
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="204" name="Conv_66/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>20</dim>
+					<dim>20</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 80, 1, 1" offset="791592" size="160" />
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="206" name="Reshape_7162" 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>
+					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="Conv_66" 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>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="620">
+					<dim>1</dim>
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+					<dim>20</dim>
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+			</output>
+		</layer>
+		<layer id="208" name="Relu_67" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32" names="366">
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+			</output>
+		</layer>
+		<layer id="209" name="624_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="80, 80, 3, 3" offset="791752" size="115200" />
+			<output>
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="210" name="624" 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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+			</output>
+		</layer>
+		<layer id="211" name="Conv_68/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>80</dim>
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+					<dim>3</dim>
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+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
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+					<dim>20</dim>
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+			</output>
+		</layer>
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+			<data element_type="f16" shape="1, 80, 1, 1" offset="906952" size="160" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="213" name="Reshape_7178" 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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+			</input>
+			<output>
+				<port id="1" precision="FP32">
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+					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Conv_68" 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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+		</layer>
+		<layer id="215" name="AveragePool_69" type="AvgPool" version="opset1">
+			<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
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+		<layer id="217" name="627" 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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+				<port id="1" precision="FP32">
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="220" name="Reshape_7194" 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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+			<output>
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+					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
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+		<layer id="221" name="Conv_70" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</input>
+			<output>
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+			</output>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			<output>
+				<port id="0" precision="FP16" names="630">
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		</layer>
+		<layer id="228" name="Reshape_7211" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
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+		<layer id="264" name="Reshape_7311" type="Convert" version="opset1">
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+			</output>
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP32">
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+				<attribute name="decompression" version="0" />
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+		<layer id="335" name="Reshape_7494" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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