<?xml version="1.0" ?>
<net name="text-image-super-resolution-0001" version="10">
	<layers>
		<layer id="0" name="0" type="Parameter" version="opset1">
			<data element_type="f16" shape="1,1,360,640"/>
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="8589_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="2" name="8690_const" type="Const" version="opset1">
			<data element_type="f16" offset="2" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="3" name="8791_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="4" name="8892_const" type="Const" version="opset1">
			<data element_type="f16" offset="2" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="5" name="9/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
			<data levels="256"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1"/>
				<port id="2"/>
				<port id="3"/>
				<port id="4"/>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="9/WithoutBiases/fq_weights_1/Convert_to_float/Cast_0281_const" type="Const" version="opset1">
			<data element_type="u8" offset="4" shape="4,1,3,3" size="36"/>
			<output>
				<port id="1" precision="U8">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="9/WithoutBiases/fq_weights_1/Convert_to_float" type="Convert" version="opset1">
			<data destination_type="f16"/>
			<input>
				<port id="0">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="9/WithoutBiases/fq_weights_1/Copy/out_low239_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="9/WithoutBiases/fq_weights_1/Copy/out_high240_const" type="Const" version="opset1">
			<data element_type="f16" offset="40" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="97101_const" type="Const" version="opset1">
			<data element_type="f16" offset="42" shape="4,1,1,1" size="8"/>
			<output>
				<port id="1" precision="FP16">
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="98102_const" type="Const" version="opset1">
			<data element_type="f16" offset="50" shape="4,1,1,1" size="8"/>
			<output>
				<port id="1" precision="FP16">
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="9/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
			<data levels="255"/>
			<input>
				<port id="0">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1">
					<dim>1</dim>
				</port>
				<port id="2">
					<dim>1</dim>
				</port>
				<port id="3">
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="4">
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="9/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>1</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1">
					<dim>4</dim>
					<dim>1</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="9/Dims180/copy_const24_const" type="Const" version="opset1">
			<data element_type="f16" offset="58" shape="1,4,1,1" size="8"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="9" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="10" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="6569_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="18" name="6670_const" type="Const" version="opset1">
			<data element_type="f16" offset="66" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="19" name="6771_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="20" name="6872_const" type="Const" version="opset1">
			<data element_type="f16" offset="66" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="21" name="11/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
			<data levels="256"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1"/>
				<port id="2"/>
				<port id="3"/>
				<port id="4"/>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="11/WithoutBiases/fq_weights_1/Convert_to_float/Cast_0279_const" type="Const" version="opset1">
			<data element_type="u8" offset="68" shape="36,4,3,3" size="1296"/>
			<output>
				<port id="1" precision="U8">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="11/WithoutBiases/fq_weights_1/Convert_to_float" type="Convert" version="opset1">
			<data destination_type="f16"/>
			<input>
				<port id="0">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="11/WithoutBiases/fq_weights_1/Copy/out_low231_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="11/WithoutBiases/fq_weights_1/Copy/out_high232_const" type="Const" version="opset1">
			<data element_type="f16" offset="40" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="7781_const" type="Const" version="opset1">
			<data element_type="f16" offset="1364" shape="36,1,1,1" size="72"/>
			<output>
				<port id="1" precision="FP16">
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="7882_const" type="Const" version="opset1">
			<data element_type="f16" offset="1436" shape="36,1,1,1" size="72"/>
			<output>
				<port id="1" precision="FP16">
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="11/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
			<data levels="255"/>
			<input>
				<port id="0">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1">
					<dim>1</dim>
				</port>
				<port id="2">
					<dim>1</dim>
				</port>
				<port id="3">
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="4">
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="11/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>4</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>36</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="11/Dims192/copy_const29_const" type="Const" version="opset1">
			<data element_type="f16" offset="1508" shape="1,36,1,1" size="72"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="11" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>36</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>36</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>36</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="onnx_initializer_node_5/Output_0/Data__const31_const" type="Const" version="opset1">
			<data element_type="f16" offset="1580" shape="36,4,3,3" size="2592"/>
			<output>
				<port id="1" precision="FP16">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="12/WithoutBiases" type="ConvolutionBackpropData" version="opset1">
			<data dilations="1,1" output_padding="0,0" pads_begin="0,0" pads_end="0,0" strides="3,3"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>36</dim>
					<dim>360</dim>
					<dim>640</dim>
				</port>
				<port id="1">
					<dim>36</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="12/Dims198/copy_const33_const" type="Const" version="opset1">
			<data element_type="f16" offset="4172" shape="1,4,1,1" size="8"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="12" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="13" type="ReLU" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="105109_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="38" name="106110_const" type="Const" version="opset1">
			<data element_type="f16" offset="4180" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="39" name="107111_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="40" name="108112_const" type="Const" version="opset1">
			<data element_type="f16" offset="4180" shape="" size="2"/>
			<output>
				<port id="1" precision="FP16"/>
			</output>
		</layer>
		<layer id="41" name="14/WithoutBiases/fq_input_0" type="FakeQuantize" version="opset1">
			<data levels="256"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
				<port id="1"/>
				<port id="2"/>
				<port id="3"/>
				<port id="4"/>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="14/WithoutBiases/fq_weights_1/Convert_to_float/Cast_0277_const" type="Const" version="opset1">
			<data element_type="u8" offset="4182" shape="1,4,3,3" size="36"/>
			<output>
				<port id="1" precision="U8">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="14/WithoutBiases/fq_weights_1/Convert_to_float" type="Convert" version="opset1">
			<data destination_type="f16"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="14/WithoutBiases/fq_weights_1/Copy/out_low223_const" type="Const" version="opset1">
			<data element_type="f16" offset="0" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="14/WithoutBiases/fq_weights_1/Copy/out_high224_const" type="Const" version="opset1">
			<data element_type="f16" offset="40" shape="1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="117121_const" type="Const" version="opset1">
			<data element_type="f16" offset="4218" shape="1,1,1,1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="118122_const" type="Const" version="opset1">
			<data element_type="f16" offset="4220" shape="1,1,1,1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="14/WithoutBiases/fq_weights_1" type="FakeQuantize" version="opset1">
			<data levels="255"/>
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1">
					<dim>1</dim>
				</port>
				<port id="2">
					<dim>1</dim>
				</port>
				<port id="3">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="4">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="14/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>4</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="1424/Dims186/copy_const38_const" type="Const" version="opset1">
			<data element_type="f16" offset="4222" shape="1,1,1,1" size="2"/>
			<output>
				<port id="1" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="14" type="Add" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
				<port id="1">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="14/sink_port_0" type="Result" version="opset1">
			<input>
				<port id="0">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1080</dim>
					<dim>1920</dim>
				</port>
			</input>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="5" to-port="0"/>
		<edge from-layer="1" from-port="1" to-layer="5" to-port="1"/>
		<edge from-layer="2" from-port="1" to-layer="5" to-port="2"/>
		<edge from-layer="3" from-port="1" to-layer="5" to-port="3"/>
		<edge from-layer="4" from-port="1" to-layer="5" to-port="4"/>
		<edge from-layer="6" from-port="1" to-layer="7" to-port="0"/>
		<edge from-layer="7" from-port="1" to-layer="12" to-port="0"/>
		<edge from-layer="8" from-port="1" to-layer="12" to-port="1"/>
		<edge from-layer="9" from-port="1" to-layer="12" to-port="2"/>
		<edge from-layer="10" from-port="1" to-layer="12" to-port="3"/>
		<edge from-layer="11" from-port="1" to-layer="12" to-port="4"/>
		<edge from-layer="5" from-port="5" to-layer="13" to-port="0"/>
		<edge from-layer="12" from-port="5" 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="16" from-port="1" to-layer="21" to-port="0"/>
		<edge from-layer="17" from-port="1" to-layer="21" to-port="1"/>
		<edge from-layer="18" from-port="1" to-layer="21" to-port="2"/>
		<edge from-layer="19" from-port="1" to-layer="21" to-port="3"/>
		<edge from-layer="20" from-port="1" to-layer="21" to-port="4"/>
		<edge from-layer="22" from-port="1" to-layer="23" to-port="0"/>
		<edge from-layer="23" from-port="1" to-layer="28" to-port="0"/>
		<edge from-layer="24" from-port="1" to-layer="28" to-port="1"/>
		<edge from-layer="25" from-port="1" to-layer="28" to-port="2"/>
		<edge from-layer="26" from-port="1" to-layer="28" to-port="3"/>
		<edge from-layer="27" from-port="1" to-layer="28" to-port="4"/>
		<edge from-layer="21" from-port="5" to-layer="29" to-port="0"/>
		<edge from-layer="28" from-port="5" to-layer="29" to-port="1"/>
		<edge from-layer="29" from-port="2" to-layer="31" to-port="0"/>
		<edge from-layer="30" from-port="1" to-layer="31" to-port="1"/>
		<edge from-layer="31" from-port="2" to-layer="33" to-port="0"/>
		<edge from-layer="32" from-port="1" to-layer="33" to-port="1"/>
		<edge from-layer="33" from-port="2" 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="36" to-port="0"/>
		<edge from-layer="36" from-port="1" to-layer="41" to-port="0"/>
		<edge from-layer="37" from-port="1" to-layer="41" to-port="1"/>
		<edge from-layer="38" from-port="1" to-layer="41" to-port="2"/>
		<edge from-layer="39" from-port="1" to-layer="41" to-port="3"/>
		<edge from-layer="40" from-port="1" to-layer="41" to-port="4"/>
		<edge from-layer="42" from-port="1" to-layer="43" to-port="0"/>
		<edge from-layer="43" from-port="1" to-layer="48" to-port="0"/>
		<edge from-layer="44" from-port="1" to-layer="48" to-port="1"/>
		<edge from-layer="45" from-port="1" to-layer="48" to-port="2"/>
		<edge from-layer="46" from-port="1" to-layer="48" to-port="3"/>
		<edge from-layer="47" from-port="1" to-layer="48" to-port="4"/>
		<edge from-layer="41" from-port="5" to-layer="49" to-port="0"/>
		<edge from-layer="48" from-port="5" to-layer="49" to-port="1"/>
		<edge from-layer="49" from-port="2" to-layer="51" to-port="0"/>
		<edge from-layer="50" from-port="1" to-layer="51" to-port="1"/>
		<edge from-layer="51" from-port="2" to-layer="52" to-port="0"/>
	</edges>
	<meta_data>
		<MO_version value="unknown version"/>
		<cli_parameters>
			<caffe_parser_path value="DIR"/>
			<data_type value="FP16"/>
			<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_V7 value="False"/>
			<input value="0"/>
			<input_model value="DIR/text_sr_0029.onnx"/>
			<input_model_is_text value="False"/>
			<input_shape value="[1,1,360,640]"/>
			<k value="DIR/CustomLayersMapping.xml"/>
			<keep_shape_ops value="True"/>
			<legacy_mxnet_model value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{'0': {'mean': None, 'scale': array([255.])}}"/>
			<mean_values value="()"/>
			<model_name value="text-image-super-resolution-0001"/>
			<move_to_preprocess value="False"/>
			<output_dir value="DIR"/>
			<placeholder_data_types value="{}"/>
			<placeholder_shapes value="{'0': array([  1,   1, 360, 640])}"/>
			<progress value="False"/>
			<remove_memory value="False"/>
			<remove_output_softmax value="False"/>
			<reverse_input_channels value="True"/>
			<save_params_from_nd value="False"/>
			<scale_values value="0[255.0]"/>
			<silent value="False"/>
			<static_shape value="False"/>
			<stream_output value="False"/>
			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input_checkpoint, input_meta_graph, input_proto, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, output, 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>
	<quantization_parameters>
		<config>{
		'compression': {
			'algorithms': [
				{
					'name': 'DefaultQuantization',
					'params': {
						'preset': 'performance',
						'stat_subset_size': 300
					}
				}
			],
			'target_device': 'CPU'
		},
		'engine': {
			'models': [
				{
					'name': 'text-image-super-resolution-0001',
					'launchers': [
						{
							'framework': 'dlsdk',
							'adapter': {
								'type': 'super_resolution'
							},
							'device': 'CPU'
						}
					],
					'datasets': [
						{
							'name': 'text_super_resolution_x3',
							'annotation_conversion': {
								'converter': 'super_resolution',
								'data_dir': 'PATH',
								'lr_suffix': 'lr_',
								'hr_suffix': 'hr_'
							},
							'annotation': 'icdar_sr.pickle',
							'data_source': 'PATH',
							'preprocessing': [
								{
									'type': 'bgr_to_gray'
								}
							],
							'metrics': [
								{
									'type': 'psnr',
									'scale_border': 4,
									'presenter': 'print_vector'
								}
							]
						}
					]
				}
			],
			'stat_requests_number': null,
			'eval_requests_number': null,
			'type': 'accuracy_checker'
		}
	}</config>
		<version value="1.0"/>
		<cli_params value="{'evaluate': False, 'output_dir': 'PATH', 'direct_dump': True, 'log_level': 'INFO', 'pbar': False, 'stream_output': False, 'keep_uncompressed_weights': False}"/>
	</quantization_parameters>
</net>
