<?xml version="1.0" ?>
<net name="welspun_stitch_resnet34" version="10">
	<layers>
		<layer id="0" name="input.1" type="Parameter" version="opset1">
			<data element_type="f32" shape="1,3,224,224"/>
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>3</dim>
					<dim>224</dim>
					<dim>224</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="onnx_initializer_node_370/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="0" shape="64,3,7,7" size="37632"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>3</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="Conv_0/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="3,3" pads_end="3,3" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>3</dim>
					<dim>224</dim>
					<dim>224</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>3</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="Conv_0/Dims1871/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="37632" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Conv_0" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="MaxPool_2" type="MaxPool" version="opset1">
			<data kernel="3,3" pads_begin="1,1" pads_end="1,1" rounding_type="floor" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>112</dim>
					<dim>112</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="onnx_initializer_node_373/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="37888" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="Conv_3/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="Conv_3/Dims1895/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="185344" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="Conv_3" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="Relu_4" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="onnx_initializer_node_376/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="185600" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="Conv_5/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="Conv_5/Dims1823/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="333056" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="Conv_5" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="Add_6" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="Relu_7" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="onnx_initializer_node_379/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="333312" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="19" name="Conv_8/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="Conv_8/Dims1955/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="480768" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="Conv_8" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="Relu_9" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="onnx_initializer_node_382/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="481024" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="Conv_10/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="Conv_10/Dims1961/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="628480" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="Conv_10" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="Add_11" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="Relu_12" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="onnx_initializer_node_385/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="628736" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="Conv_13/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="Conv_13/Dims1967/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="776192" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="Conv_13" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="Relu_14" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="onnx_initializer_node_388/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="776448" shape="64,64,3,3" size="147456"/>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="Conv_15/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="Conv_15/Dims1943/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="923904" shape="1,64,1,1" size="256"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="Conv_15" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="Add_16" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="Relu_17" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="onnx_initializer_node_391/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="924160" shape="128,64,3,3" size="294912"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="Conv_18/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="Conv_18/Dims1979/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="1219072" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="Conv_18" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="Relu_19" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="onnx_initializer_node_394/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="1219584" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="Conv_20/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="Conv_20/Dims1805/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="1809408" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="Conv_20" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="onnx_initializer_node_397/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="1809920" shape="128,64,1,1" size="32768"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="Conv_21/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="0,0" pads_end="0,0" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>56</dim>
					<dim>56</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>64</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="Conv_21/Dims1835/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="1842688" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="Conv_21" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="Add_22" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="Relu_23" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="onnx_initializer_node_400/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="1843200" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="Conv_24/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="Conv_24/Dims1853/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="2433024" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="58" name="Conv_24" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="Relu_25" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="onnx_initializer_node_403/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="2433536" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="Conv_26/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="Conv_26/Dims1787/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="3023360" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="Conv_26" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="Add_27" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="Relu_28" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="onnx_initializer_node_406/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="3023872" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="Conv_29/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="Conv_29/Dims1781/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="3613696" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="Conv_29" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="Relu_30" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="71" name="onnx_initializer_node_409/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="3614208" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="Conv_31/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="Conv_31/Dims1799/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="4204032" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="74" name="Conv_31" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="Add_32" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="Relu_33" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="onnx_initializer_node_412/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="4204544" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="Conv_34/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="79" name="Conv_34/Dims1829/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="4794368" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="Conv_34" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="Relu_35" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="onnx_initializer_node_415/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="4794880" shape="128,128,3,3" size="589824"/>
			<output>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Conv_36/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="Conv_36/Dims1793/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="5384704" shape="1,128,1,1" size="512"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="Conv_36" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="Add_37" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="87" name="Relu_38" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="onnx_initializer_node_418/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="5385216" shape="256,128,3,3" size="1179648"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="Conv_39/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="Conv_39/Dims1991/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="6564864" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="Conv_39" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="Relu_40" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="onnx_initializer_node_421/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="6565888" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="94" name="Conv_41/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="Conv_41/Dims1913/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="8925184" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="Conv_41" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="onnx_initializer_node_424/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="8926208" shape="256,128,1,1" size="131072"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="Conv_42/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="0,0" pads_end="0,0" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>128</dim>
					<dim>28</dim>
					<dim>28</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="99" name="Conv_42/Dims1949/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="9057280" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="100" name="Conv_42" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="Add_43" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="Relu_44" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="onnx_initializer_node_427/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="9058304" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="Conv_45/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="105" name="Conv_45/Dims1859/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="11417600" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="Conv_45" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="Relu_46" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="108" name="onnx_initializer_node_430/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="11418624" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="109" name="Conv_47/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="110" name="Conv_47/Dims1985/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="13777920" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="111" name="Conv_47" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="112" name="Add_48" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="Relu_49" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="onnx_initializer_node_433/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="13778944" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="Conv_50/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="Conv_50/Dims1937/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="16138240" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="Conv_50" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="118" name="Relu_51" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="onnx_initializer_node_436/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="16139264" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="Conv_52/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="121" name="Conv_52/Dims1817/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="18498560" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="122" name="Conv_52" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="123" name="Add_53" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="Relu_54" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="125" name="onnx_initializer_node_439/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="18499584" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="126" name="Conv_55/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="Conv_55/Dims1973/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="20858880" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="Conv_55" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="Relu_56" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="onnx_initializer_node_442/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="20859904" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="Conv_57/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="Conv_57/Dims1865/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="23219200" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="Conv_57" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="Add_58" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="Relu_59" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="onnx_initializer_node_445/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="23220224" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="Conv_60/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="138" name="Conv_60/Dims1883/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="25579520" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="Conv_60" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="Relu_61" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="141" name="onnx_initializer_node_448/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="25580544" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="142" name="Conv_62/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="Conv_62/Dims1847/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="27939840" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="Conv_62" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="Add_63" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="Relu_64" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="147" name="onnx_initializer_node_451/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="27940864" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="148" name="Conv_65/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="Conv_65/Dims1919/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="30300160" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="Conv_65" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="Relu_66" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="onnx_initializer_node_454/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="30301184" shape="256,256,3,3" size="2359296"/>
			<output>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="Conv_67/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="Conv_67/Dims1841/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="32660480" shape="1,256,1,1" size="1024"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="Conv_67" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="156" name="Add_68" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="Relu_69" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="onnx_initializer_node_457/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="32661504" shape="512,256,3,3" size="4718592"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="Conv_70/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="Conv_70/Dims1901/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="37380096" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="Conv_70" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="162" name="Relu_71" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="163" name="onnx_initializer_node_460/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="37382144" shape="512,512,3,3" size="9437184"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="Conv_72/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="Conv_72/Dims1925/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="46819328" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="Conv_72" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="onnx_initializer_node_463/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="46821376" shape="512,256,1,1" size="524288"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="Conv_73/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="0,0" pads_end="0,0" strides="2,2"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>256</dim>
					<dim>14</dim>
					<dim>14</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="169" name="Conv_73/Dims1811/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="47345664" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="Conv_73" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="Add_74" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="Relu_75" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="173" name="onnx_initializer_node_466/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="47347712" shape="512,512,3,3" size="9437184"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="Conv_76/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="Conv_76/Dims1877/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="56784896" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="Conv_76" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="Relu_77" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="178" name="onnx_initializer_node_469/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="56786944" shape="512,512,3,3" size="9437184"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="Conv_78/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="Conv_78/Dims1907/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="66224128" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="Conv_78" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="Add_79" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="Relu_80" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="onnx_initializer_node_472/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="66226176" shape="512,512,3,3" size="9437184"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="Conv_81/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="Conv_81/Dims1931/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="75663360" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="187" name="Conv_81" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="188" name="Relu_82" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="onnx_initializer_node_475/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="75665408" shape="512,512,3,3" size="9437184"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="Conv_83/WithoutBiases" type="Convolution" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="1,1" pads_end="1,1" strides="1,1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="Conv_83/Dims1889/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="85102592" shape="1,512,1,1" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="Conv_83" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="Add_84" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="194" name="Relu_85" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="MaxPool_86" type="MaxPool" version="opset1">
			<data kernel="7,7" pads_begin="0,0" pads_end="0,0" rounding_type="floor" strides="7,7"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="GlobalAveragePool_87/reduce/Cast_16219_const" type="Const" version="opset1">
			<data element_type="i64" offset="85104640" shape="2" size="16"/>
			<output>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="GlobalAveragePool_87/reduce" type="ReduceMean" version="opset1">
			<data keep_dims="True"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>7</dim>
					<dim>7</dim>
				</port>
				<port id="1">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="Concat_88" type="Concat" version="opset1">
			<data axis="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="Reshape_94/Cast_16221_const" type="Const" version="opset1">
			<data element_type="i64" offset="85104656" shape="2" size="16"/>
			<output>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="Reshape_94" type="Reshape" version="opset1">
			<data special_zero="True"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1024</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="201" name="data_mul_2966/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="85104672" shape="1,1024" size="4096"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="202" name="BatchNormalization_95/mean/Fused_Mul_" type="Multiply" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="203" name="data_add_2968/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="85108768" shape="1,1024" size="4096"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="BatchNormalization_95/variance/Fused_Add_" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="onnx_initializer_node_1.4.weight/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="85112864" shape="512,1024" size="2097152"/>
			<output>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>1024</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="Gemm_96/WithoutBiases" type="MatMul" version="opset1">
			<data transpose_a="0" transpose_b="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1024</dim>
				</port>
				<port id="1">
					<dim>512</dim>
					<dim>1024</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="onnx_initializer_node_1.4.bias/Output_0/Data_/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="87210016" shape="1,512" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="Gemm_96" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="209" name="Relu_97" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="210" name="data_mul_29702974/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="87212064" shape="1,512" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="BatchNormalization_98/mean/Fused_Mul_" type="Multiply" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="data_add_29712976/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="87214112" shape="1,512" size="2048"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="BatchNormalization_98/variance/Fused_Add_" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="onnx_initializer_node_1.8.weight/Output_0/Data__const" type="Const" version="opset1">
			<data element_type="f32" offset="87216160" shape="2,512" size="4096"/>
			<output>
				<port id="1" precision="FP32">
					<dim>2</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="Gemm_99/WithoutBiases" type="MatMul" version="opset1">
			<data transpose_a="0" transpose_b="1"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1">
					<dim>2</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="216" name="onnx_initializer_node_1.8.bias/Output_0/Data_/copy_const" type="Const" version="opset1">
			<data element_type="f32" offset="87220256" shape="1,2" size="8"/>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="217" name="Gemm_99" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>2</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="Gemm_99/sink_port_0" type="Result" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>2</dim>
				</port>
			</input>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
		<edge from-layer="1" from-port="1" to-layer="2" to-port="1"/>
		<edge from-layer="2" from-port="2" to-layer="4" to-port="0"/>
		<edge from-layer="3" from-port="1" to-layer="4" to-port="1"/>
		<edge from-layer="4" from-port="2" to-layer="5" to-port="0"/>
		<edge from-layer="5" from-port="1" to-layer="6" to-port="0"/>
		<edge from-layer="6" from-port="1" to-layer="8" to-port="0"/>
		<edge from-layer="7" from-port="1" to-layer="8" to-port="1"/>
		<edge from-layer="8" from-port="2" to-layer="10" to-port="0"/>
		<edge from-layer="9" from-port="1" to-layer="10" to-port="1"/>
		<edge from-layer="10" from-port="2" to-layer="11" to-port="0"/>
		<edge from-layer="11" from-port="1" to-layer="13" to-port="0"/>
		<edge from-layer="12" from-port="1" to-layer="13" to-port="1"/>
		<edge from-layer="13" from-port="2" to-layer="15" to-port="0"/>
		<edge from-layer="14" from-port="1" to-layer="15" to-port="1"/>
		<edge from-layer="15" from-port="2" to-layer="16" to-port="0"/>
		<edge from-layer="6" from-port="1" to-layer="16" to-port="1"/>
		<edge from-layer="16" from-port="2" to-layer="17" to-port="0"/>
		<edge from-layer="17" from-port="1" to-layer="19" to-port="0"/>
		<edge from-layer="18" from-port="1" to-layer="19" to-port="1"/>
		<edge from-layer="19" from-port="2" to-layer="21" to-port="0"/>
		<edge from-layer="20" from-port="1" to-layer="21" to-port="1"/>
		<edge from-layer="21" from-port="2" to-layer="22" to-port="0"/>
		<edge from-layer="22" from-port="1" to-layer="24" to-port="0"/>
		<edge from-layer="23" from-port="1" to-layer="24" to-port="1"/>
		<edge from-layer="24" from-port="2" to-layer="26" to-port="0"/>
		<edge from-layer="25" from-port="1" to-layer="26" to-port="1"/>
		<edge from-layer="26" from-port="2" to-layer="27" to-port="0"/>
		<edge from-layer="17" from-port="1" to-layer="27" to-port="1"/>
		<edge from-layer="27" from-port="2" to-layer="28" to-port="0"/>
		<edge from-layer="28" from-port="1" to-layer="30" to-port="0"/>
		<edge from-layer="29" from-port="1" to-layer="30" to-port="1"/>
		<edge from-layer="30" from-port="2" to-layer="32" to-port="0"/>
		<edge from-layer="31" from-port="1" to-layer="32" to-port="1"/>
		<edge from-layer="32" from-port="2" to-layer="33" to-port="0"/>
		<edge from-layer="33" from-port="1" to-layer="35" to-port="0"/>
		<edge from-layer="34" from-port="1" to-layer="35" to-port="1"/>
		<edge from-layer="35" from-port="2" to-layer="37" to-port="0"/>
		<edge from-layer="36" from-port="1" to-layer="37" to-port="1"/>
		<edge from-layer="37" from-port="2" to-layer="38" to-port="0"/>
		<edge from-layer="28" from-port="1" to-layer="38" to-port="1"/>
		<edge from-layer="38" from-port="2" to-layer="39" to-port="0"/>
		<edge from-layer="39" from-port="1" to-layer="41" to-port="0"/>
		<edge from-layer="40" from-port="1" to-layer="41" to-port="1"/>
		<edge from-layer="41" from-port="2" to-layer="43" to-port="0"/>
		<edge from-layer="42" from-port="1" to-layer="43" to-port="1"/>
		<edge from-layer="43" from-port="2" to-layer="44" to-port="0"/>
		<edge from-layer="44" from-port="1" to-layer="46" to-port="0"/>
		<edge from-layer="45" from-port="1" to-layer="46" to-port="1"/>
		<edge from-layer="46" from-port="2" to-layer="48" to-port="0"/>
		<edge from-layer="47" from-port="1" to-layer="48" to-port="1"/>
		<edge from-layer="39" from-port="1" to-layer="50" to-port="0"/>
		<edge from-layer="49" from-port="1" to-layer="50" to-port="1"/>
		<edge from-layer="50" from-port="2" to-layer="52" to-port="0"/>
		<edge from-layer="51" from-port="1" to-layer="52" to-port="1"/>
		<edge from-layer="48" from-port="2" to-layer="53" to-port="0"/>
		<edge from-layer="52" from-port="2" to-layer="53" to-port="1"/>
		<edge from-layer="53" from-port="2" to-layer="54" to-port="0"/>
		<edge from-layer="54" from-port="1" to-layer="56" to-port="0"/>
		<edge from-layer="55" from-port="1" to-layer="56" to-port="1"/>
		<edge from-layer="56" from-port="2" to-layer="58" to-port="0"/>
		<edge from-layer="57" from-port="1" to-layer="58" to-port="1"/>
		<edge from-layer="58" from-port="2" to-layer="59" to-port="0"/>
		<edge from-layer="59" from-port="1" to-layer="61" to-port="0"/>
		<edge from-layer="60" from-port="1" to-layer="61" to-port="1"/>
		<edge from-layer="61" from-port="2" to-layer="63" to-port="0"/>
		<edge from-layer="62" from-port="1" to-layer="63" to-port="1"/>
		<edge from-layer="63" from-port="2" to-layer="64" to-port="0"/>
		<edge from-layer="54" from-port="1" to-layer="64" to-port="1"/>
		<edge from-layer="64" from-port="2" to-layer="65" to-port="0"/>
		<edge from-layer="65" from-port="1" to-layer="67" to-port="0"/>
		<edge from-layer="66" from-port="1" to-layer="67" to-port="1"/>
		<edge from-layer="67" from-port="2" to-layer="69" to-port="0"/>
		<edge from-layer="68" from-port="1" to-layer="69" to-port="1"/>
		<edge from-layer="69" from-port="2" to-layer="70" to-port="0"/>
		<edge from-layer="70" from-port="1" to-layer="72" to-port="0"/>
		<edge from-layer="71" from-port="1" to-layer="72" to-port="1"/>
		<edge from-layer="72" from-port="2" to-layer="74" to-port="0"/>
		<edge from-layer="73" from-port="1" to-layer="74" to-port="1"/>
		<edge from-layer="74" from-port="2" to-layer="75" to-port="0"/>
		<edge from-layer="65" from-port="1" to-layer="75" to-port="1"/>
		<edge from-layer="75" from-port="2" to-layer="76" to-port="0"/>
		<edge from-layer="76" from-port="1" to-layer="78" to-port="0"/>
		<edge from-layer="77" from-port="1" to-layer="78" to-port="1"/>
		<edge from-layer="78" from-port="2" to-layer="80" to-port="0"/>
		<edge from-layer="79" from-port="1" to-layer="80" to-port="1"/>
		<edge from-layer="80" from-port="2" to-layer="81" to-port="0"/>
		<edge from-layer="81" from-port="1" to-layer="83" to-port="0"/>
		<edge from-layer="82" from-port="1" to-layer="83" to-port="1"/>
		<edge from-layer="83" from-port="2" to-layer="85" to-port="0"/>
		<edge from-layer="84" from-port="1" to-layer="85" to-port="1"/>
		<edge from-layer="85" from-port="2" to-layer="86" to-port="0"/>
		<edge from-layer="76" from-port="1" to-layer="86" to-port="1"/>
		<edge from-layer="86" from-port="2" to-layer="87" to-port="0"/>
		<edge from-layer="87" from-port="1" to-layer="89" to-port="0"/>
		<edge from-layer="88" from-port="1" to-layer="89" to-port="1"/>
		<edge from-layer="89" from-port="2" to-layer="91" to-port="0"/>
		<edge from-layer="90" from-port="1" to-layer="91" to-port="1"/>
		<edge from-layer="91" from-port="2" to-layer="92" to-port="0"/>
		<edge from-layer="92" from-port="1" to-layer="94" to-port="0"/>
		<edge from-layer="93" from-port="1" to-layer="94" to-port="1"/>
		<edge from-layer="94" from-port="2" to-layer="96" to-port="0"/>
		<edge from-layer="95" from-port="1" to-layer="96" to-port="1"/>
		<edge from-layer="87" from-port="1" to-layer="98" to-port="0"/>
		<edge from-layer="97" from-port="1" to-layer="98" to-port="1"/>
		<edge from-layer="98" from-port="2" to-layer="100" to-port="0"/>
		<edge from-layer="99" from-port="1" to-layer="100" to-port="1"/>
		<edge from-layer="96" from-port="2" to-layer="101" to-port="0"/>
		<edge from-layer="100" from-port="2" to-layer="101" to-port="1"/>
		<edge from-layer="101" from-port="2" to-layer="102" to-port="0"/>
		<edge from-layer="102" from-port="1" to-layer="104" to-port="0"/>
		<edge from-layer="103" from-port="1" to-layer="104" to-port="1"/>
		<edge from-layer="104" from-port="2" to-layer="106" to-port="0"/>
		<edge from-layer="105" from-port="1" to-layer="106" to-port="1"/>
		<edge from-layer="106" from-port="2" to-layer="107" to-port="0"/>
		<edge from-layer="107" from-port="1" to-layer="109" to-port="0"/>
		<edge from-layer="108" from-port="1" to-layer="109" to-port="1"/>
		<edge from-layer="109" from-port="2" to-layer="111" to-port="0"/>
		<edge from-layer="110" from-port="1" to-layer="111" to-port="1"/>
		<edge from-layer="111" from-port="2" to-layer="112" to-port="0"/>
		<edge from-layer="102" from-port="1" to-layer="112" to-port="1"/>
		<edge from-layer="112" from-port="2" to-layer="113" to-port="0"/>
		<edge from-layer="113" from-port="1" to-layer="115" to-port="0"/>
		<edge from-layer="114" from-port="1" to-layer="115" to-port="1"/>
		<edge from-layer="115" from-port="2" to-layer="117" to-port="0"/>
		<edge from-layer="116" from-port="1" to-layer="117" to-port="1"/>
		<edge from-layer="117" from-port="2" to-layer="118" to-port="0"/>
		<edge from-layer="118" from-port="1" to-layer="120" to-port="0"/>
		<edge from-layer="119" from-port="1" to-layer="120" to-port="1"/>
		<edge from-layer="120" from-port="2" to-layer="122" to-port="0"/>
		<edge from-layer="121" from-port="1" to-layer="122" to-port="1"/>
		<edge from-layer="122" from-port="2" to-layer="123" to-port="0"/>
		<edge from-layer="113" from-port="1" to-layer="123" to-port="1"/>
		<edge from-layer="123" from-port="2" to-layer="124" to-port="0"/>
		<edge from-layer="124" from-port="1" to-layer="126" to-port="0"/>
		<edge from-layer="125" from-port="1" to-layer="126" to-port="1"/>
		<edge from-layer="126" from-port="2" to-layer="128" to-port="0"/>
		<edge from-layer="127" from-port="1" to-layer="128" to-port="1"/>
		<edge from-layer="128" from-port="2" to-layer="129" to-port="0"/>
		<edge from-layer="129" from-port="1" to-layer="131" to-port="0"/>
		<edge from-layer="130" from-port="1" to-layer="131" to-port="1"/>
		<edge from-layer="131" from-port="2" to-layer="133" to-port="0"/>
		<edge from-layer="132" from-port="1" to-layer="133" to-port="1"/>
		<edge from-layer="133" from-port="2" to-layer="134" to-port="0"/>
		<edge from-layer="124" from-port="1" to-layer="134" to-port="1"/>
		<edge from-layer="134" from-port="2" to-layer="135" to-port="0"/>
		<edge from-layer="135" from-port="1" to-layer="137" to-port="0"/>
		<edge from-layer="136" from-port="1" to-layer="137" to-port="1"/>
		<edge from-layer="137" from-port="2" to-layer="139" to-port="0"/>
		<edge from-layer="138" from-port="1" to-layer="139" to-port="1"/>
		<edge from-layer="139" from-port="2" to-layer="140" to-port="0"/>
		<edge from-layer="140" from-port="1" to-layer="142" to-port="0"/>
		<edge from-layer="141" from-port="1" to-layer="142" to-port="1"/>
		<edge from-layer="142" from-port="2" to-layer="144" to-port="0"/>
		<edge from-layer="143" from-port="1" to-layer="144" to-port="1"/>
		<edge from-layer="144" from-port="2" to-layer="145" to-port="0"/>
		<edge from-layer="135" from-port="1" to-layer="145" to-port="1"/>
		<edge from-layer="145" from-port="2" to-layer="146" to-port="0"/>
		<edge from-layer="146" from-port="1" to-layer="148" to-port="0"/>
		<edge from-layer="147" from-port="1" to-layer="148" to-port="1"/>
		<edge from-layer="148" from-port="2" to-layer="150" to-port="0"/>
		<edge from-layer="149" from-port="1" to-layer="150" to-port="1"/>
		<edge from-layer="150" from-port="2" to-layer="151" to-port="0"/>
		<edge from-layer="151" from-port="1" to-layer="153" to-port="0"/>
		<edge from-layer="152" from-port="1" to-layer="153" to-port="1"/>
		<edge from-layer="153" from-port="2" to-layer="155" to-port="0"/>
		<edge from-layer="154" from-port="1" to-layer="155" to-port="1"/>
		<edge from-layer="155" from-port="2" to-layer="156" to-port="0"/>
		<edge from-layer="146" from-port="1" to-layer="156" to-port="1"/>
		<edge from-layer="156" from-port="2" to-layer="157" to-port="0"/>
		<edge from-layer="157" from-port="1" to-layer="159" to-port="0"/>
		<edge from-layer="158" from-port="1" to-layer="159" to-port="1"/>
		<edge from-layer="159" from-port="2" to-layer="161" to-port="0"/>
		<edge from-layer="160" from-port="1" to-layer="161" to-port="1"/>
		<edge from-layer="161" from-port="2" to-layer="162" to-port="0"/>
		<edge from-layer="162" from-port="1" to-layer="164" to-port="0"/>
		<edge from-layer="163" from-port="1" to-layer="164" to-port="1"/>
		<edge from-layer="164" from-port="2" to-layer="166" to-port="0"/>
		<edge from-layer="165" from-port="1" to-layer="166" to-port="1"/>
		<edge from-layer="157" from-port="1" to-layer="168" to-port="0"/>
		<edge from-layer="167" from-port="1" to-layer="168" to-port="1"/>
		<edge from-layer="168" from-port="2" to-layer="170" to-port="0"/>
		<edge from-layer="169" from-port="1" to-layer="170" to-port="1"/>
		<edge from-layer="166" from-port="2" to-layer="171" to-port="0"/>
		<edge from-layer="170" from-port="2" to-layer="171" to-port="1"/>
		<edge from-layer="171" from-port="2" to-layer="172" to-port="0"/>
		<edge from-layer="172" from-port="1" to-layer="174" to-port="0"/>
		<edge from-layer="173" from-port="1" to-layer="174" to-port="1"/>
		<edge from-layer="174" from-port="2" to-layer="176" to-port="0"/>
		<edge from-layer="175" from-port="1" to-layer="176" to-port="1"/>
		<edge from-layer="176" from-port="2" to-layer="177" to-port="0"/>
		<edge from-layer="177" from-port="1" to-layer="179" to-port="0"/>
		<edge from-layer="178" from-port="1" to-layer="179" to-port="1"/>
		<edge from-layer="179" from-port="2" to-layer="181" to-port="0"/>
		<edge from-layer="180" from-port="1" to-layer="181" to-port="1"/>
		<edge from-layer="181" from-port="2" to-layer="182" to-port="0"/>
		<edge from-layer="172" from-port="1" to-layer="182" to-port="1"/>
		<edge from-layer="182" from-port="2" to-layer="183" to-port="0"/>
		<edge from-layer="183" from-port="1" to-layer="185" to-port="0"/>
		<edge from-layer="184" from-port="1" to-layer="185" to-port="1"/>
		<edge from-layer="185" from-port="2" to-layer="187" to-port="0"/>
		<edge from-layer="186" from-port="1" to-layer="187" to-port="1"/>
		<edge from-layer="187" from-port="2" to-layer="188" to-port="0"/>
		<edge from-layer="188" from-port="1" to-layer="190" to-port="0"/>
		<edge from-layer="189" from-port="1" to-layer="190" to-port="1"/>
		<edge from-layer="190" from-port="2" to-layer="192" to-port="0"/>
		<edge from-layer="191" from-port="1" to-layer="192" to-port="1"/>
		<edge from-layer="192" from-port="2" to-layer="193" to-port="0"/>
		<edge from-layer="183" from-port="1" to-layer="193" to-port="1"/>
		<edge from-layer="193" from-port="2" to-layer="194" to-port="0"/>
		<edge from-layer="194" from-port="1" to-layer="195" to-port="0"/>
		<edge from-layer="194" from-port="1" to-layer="197" to-port="0"/>
		<edge from-layer="196" from-port="1" to-layer="197" to-port="1"/>
		<edge from-layer="195" from-port="1" to-layer="198" to-port="0"/>
		<edge from-layer="197" from-port="2" to-layer="198" to-port="1"/>
		<edge from-layer="198" from-port="2" to-layer="200" to-port="0"/>
		<edge from-layer="199" from-port="1" to-layer="200" to-port="1"/>
		<edge from-layer="200" from-port="2" to-layer="202" to-port="0"/>
		<edge from-layer="201" from-port="1" to-layer="202" to-port="1"/>
		<edge from-layer="202" from-port="2" to-layer="204" to-port="0"/>
		<edge from-layer="203" from-port="1" to-layer="204" to-port="1"/>
		<edge from-layer="204" from-port="2" to-layer="206" to-port="0"/>
		<edge from-layer="205" from-port="1" to-layer="206" to-port="1"/>
		<edge from-layer="206" from-port="2" to-layer="208" to-port="0"/>
		<edge from-layer="207" from-port="1" to-layer="208" to-port="1"/>
		<edge from-layer="208" from-port="2" to-layer="209" to-port="0"/>
		<edge from-layer="209" from-port="1" to-layer="211" to-port="0"/>
		<edge from-layer="210" from-port="1" to-layer="211" to-port="1"/>
		<edge from-layer="211" from-port="2" to-layer="213" to-port="0"/>
		<edge from-layer="212" from-port="1" to-layer="213" to-port="1"/>
		<edge from-layer="213" from-port="2" to-layer="215" to-port="0"/>
		<edge from-layer="214" from-port="1" to-layer="215" to-port="1"/>
		<edge from-layer="215" from-port="2" to-layer="217" to-port="0"/>
		<edge from-layer="216" from-port="1" to-layer="217" to-port="1"/>
		<edge from-layer="217" from-port="2" to-layer="218" to-port="0"/>
	</edges>
	<meta_data>
		<MO_version value="2020.2.0-60-g0bc66e26ff"/>
		<cli_parameters>
			<blobs_as_inputs value="True"/>
			<caffe_parser_path value="DIR"/>
			<data_type value="float"/>
			<disable_nhwc_to_nchw value="False"/>
			<disable_omitting_optional value="False"/>
			<disable_resnet_optimization value="False"/>
			<disable_weights_compression value="False"/>
			<enable_concat_optimization value="False"/>
			<enable_flattening_nested_params value="False"/>
			<enable_ssd_gluoncv value="False"/>
			<extensions value="DIR"/>
			<framework value="onnx"/>
			<freeze_placeholder_with_value value="{}"/>
			<generate_deprecated_IR_V2 value="False"/>
			<generate_deprecated_IR_V7 value="False"/>
			<generate_experimental_IR_V10 value="True"/>
			<input_model value="DIR/welspun_stitch_resnet34.onnx"/>
			<input_model_is_text value="False"/>
			<k value="DIR/CustomLayersMapping.xml"/>
			<keep_quantize_ops_in_IR value="True"/>
			<keep_shape_ops value="False"/>
			<legacy_mxnet_model value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{}"/>
			<mean_values value="()"/>
			<model_name value="welspun_stitch_resnet34"/>
			<move_to_preprocess value="False"/>
			<output_dir value="DIR"/>
			<placeholder_data_types value="{}"/>
			<progress value="False"/>
			<remove_memory value="False"/>
			<remove_output_softmax value="False"/>
			<reverse_input_channels value="False"/>
			<save_params_from_nd value="False"/>
			<scale_values value="()"/>
			<silent value="False"/>
			<stream_output value="False"/>
			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input, input_checkpoint, input_meta_graph, input_proto, input_shape, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, output, placeholder_shapes, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/>
		</cli_parameters>
	</meta_data>
</net>
