Davinci_EYE / Davinci_eye.xml
alibidaran's picture
Upload 2 files
b056abb
<?xml version="1.0"?>
<net name="main_graph" version="11">
<layers>
<layer id="0" name="input" type="Parameter" version="opset1">
<data shape="?,3,512,512" element_type="f32" />
<rt_info>
<attribute name="old_api_map_element_type" version="0" value="f16" />
</rt_info>
<output>
<port id="0" precision="FP32" names="input">
<dim>-1</dim>
<dim>3</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="Constant_56" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="2" name="Constant_55" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="3" name="Constant_54_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="4" name="Constant_54" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="5" name="/block1/block1.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block1/block1.0/Pad_output_0">
<dim>-1</dim>
<dim>3</dim>
<dim>514</dim>
<dim>514</dim>
</port>
</output>
</layer>
<layer id="6" name="onnx::Conv_210_compressed" type="Const" version="opset1">
<data element_type="f16" shape="64, 3, 3, 3" offset="34" size="3456" />
<output>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="7" name="onnx::Conv_210" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_210">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="8" name="/block1/block1.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>514</dim>
<dim>514</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="9" name="Reshape_69_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 64, 1, 1" offset="3490" size="128" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="10" name="Reshape_69" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="11" name="/block1/block1.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block1/block1.1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="12" name="/block1/block1.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block1/block1.3/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="13" name="Constant_76" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="14" name="Constant_75" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="15" name="Constant_74_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="16" name="Constant_74" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="17" name="/block2/block2.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block2/block2.0/Pad_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>514</dim>
<dim>514</dim>
</port>
</output>
</layer>
<layer id="18" name="onnx::Conv_213_compressed" type="Const" version="opset1">
<data element_type="f16" shape="64, 64, 3, 3" offset="3618" size="73728" />
<output>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="19" name="onnx::Conv_213" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_213">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="20" name="/block2/block2.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>514</dim>
<dim>514</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="21" name="Reshape_89_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 64, 1, 1" offset="77346" size="128" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="22" name="Reshape_89" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="23" name="/block2/block2.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block2/block2.1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="24" name="/block2/block2.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block2/block2.3/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="25" name="/maxpool/MaxPool" type="MaxPool" version="opset8">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/maxpool/MaxPool_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>64</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="26" name="Constant_97" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="27" name="Constant_96" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="28" name="Constant_95_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="29" name="Constant_95" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="30" name="/block3/block3.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block3/block3.0/Pad_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>258</dim>
<dim>258</dim>
</port>
</output>
</layer>
<layer id="31" name="onnx::Conv_216_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 64, 3, 3" offset="77474" size="147456" />
<output>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="32" name="onnx::Conv_216" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_216">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="33" name="/block3/block3.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>258</dim>
<dim>258</dim>
</port>
<port id="1" precision="FP32">
<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>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="34" name="Reshape_110_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="224930" size="256" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="35" name="Reshape_110" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="36" name="/block3/block3.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block3/block3.1/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="37" name="/block3/block3.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block3/block3.3/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="38" name="Constant_117" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="39" name="Constant_116" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="40" name="Constant_115_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="41" name="Constant_115" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="42" name="/block4/block4.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block4/block4.0/Pad_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>258</dim>
<dim>258</dim>
</port>
</output>
</layer>
<layer id="43" name="onnx::Conv_219_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 128, 3, 3" offset="225186" size="294912" />
<output>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="44" name="onnx::Conv_219" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_219">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="45" name="/block4/block4.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>258</dim>
<dim>258</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="46" name="Reshape_130_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="520098" size="256" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="47" name="Reshape_130" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="48" name="/block4/block4.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block4/block4.1/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="49" name="/block4/block4.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block4/block4.3/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="50" name="/maxpool_1/MaxPool" type="MaxPool" version="opset8">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/maxpool_1/MaxPool_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>128</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="51" name="Constant_138" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="52" name="Constant_137" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="53" name="Constant_136_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="54" name="Constant_136" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="55" name="/block5/block5.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block5/block5.0/Pad_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>130</dim>
<dim>130</dim>
</port>
</output>
</layer>
<layer id="56" name="onnx::Conv_222_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 128, 3, 3" offset="520354" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="57" name="onnx::Conv_222" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_222">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="58" name="/block5/block5.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>130</dim>
<dim>130</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="59" name="Reshape_151_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="1110178" size="512" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="60" name="Reshape_151" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="61" name="/block5/block5.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block5/block5.1/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="62" name="/block5/block5.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block5/block5.3/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="63" name="Constant_158" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="64" name="Constant_157" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="65" name="Constant_156_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="66" name="Constant_156" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="67" name="/block6/block6.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block6/block6.0/Pad_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>130</dim>
<dim>130</dim>
</port>
</output>
</layer>
<layer id="68" name="onnx::Conv_225_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 256, 3, 3" offset="1110690" size="1179648" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="69" name="onnx::Conv_225" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_225">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="70" name="/block6/block6.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>130</dim>
<dim>130</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="71" name="Reshape_171_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="2290338" size="512" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="72" name="Reshape_171" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="73" name="/block6/block6.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block6/block6.1/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="74" name="/block6/block6.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block6/block6.3/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="75" name="/maxpool_2/MaxPool" type="MaxPool" version="opset8">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/maxpool_2/MaxPool_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="76" name="Constant_179" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="77" name="Constant_178" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="78" name="Constant_177_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="79" name="Constant_177" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="80" name="/block7/block7.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block7/block7.0/Pad_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>66</dim>
<dim>66</dim>
</port>
</output>
</layer>
<layer id="81" name="onnx::Conv_228_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 3, 3" offset="2290850" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="82" name="onnx::Conv_228" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_228">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="83" name="/block7/block7.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>66</dim>
<dim>66</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="84" name="Reshape_192_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="4650146" size="1024" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="85" name="Reshape_192" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="86" name="/block7/block7.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block7/block7.1/Conv_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="87" name="/block7/block7.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block7/block7.3/Relu_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="88" name="Constant_199" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="89" name="Constant_198" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="90" name="Constant_197_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="91" name="Constant_197" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="92" name="/block8/block8.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block8/block8.0/Pad_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>66</dim>
<dim>66</dim>
</port>
</output>
</layer>
<layer id="93" name="onnx::Conv_231_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 512, 3, 3" offset="4651170" size="4718592" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="94" name="onnx::Conv_231" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_231">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="95" name="/block8/block8.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>66</dim>
<dim>66</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="96" name="Reshape_212_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="9369762" size="1024" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="97" name="Reshape_212" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="98" name="/block8/block8.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block8/block8.1/Conv_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="99" name="/block8/block8.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block8/block8.3/Relu_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="100" name="/maxpool_3/MaxPool" type="MaxPool" version="opset8">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/maxpool_3/MaxPool_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="101" name="Constant_220" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="102" name="Constant_219" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="103" name="Constant_218_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="104" name="Constant_218" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="105" name="/block9/block9.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/block9/block9.0/Pad_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>34</dim>
<dim>34</dim>
</port>
</output>
</layer>
<layer id="106" name="onnx::Conv_234_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1024, 512, 3, 3" offset="9370786" size="9437184" />
<output>
<port id="0" precision="FP16">
<dim>1024</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="107" name="onnx::Conv_234" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1024</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_234">
<dim>1024</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="108" name="/block9/block9.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>34</dim>
<dim>34</dim>
</port>
<port id="1" precision="FP32">
<dim>1024</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="109" name="Reshape_233_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1024, 1, 1" offset="18807970" size="2048" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="110" name="Reshape_233" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="111" name="/block9/block9.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1024</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/block9/block9.1/Conv_output_0">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="112" name="/block9/block9.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/block9/block9.3/Relu_output_0">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="113" name="Multiply_1914_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1024, 512, 2, 2" offset="18810018" size="4194304" />
<output>
<port id="0" precision="FP16">
<dim>1024</dim>
<dim>512</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="114" name="Multiply_1914" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1024</dim>
<dim>512</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1024</dim>
<dim>512</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="115" name="Multiply_1873" type="ConvolutionBackpropData" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1024</dim>
<dim>512</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="116" name="Constant_1878_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="23004322" size="1024" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="117" name="Constant_1878" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="118" name="/up_conv6/up_conv6.1/BatchNormalization" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/up_conv6/up_conv6.1/BatchNormalization_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="119" name="/up_conv6/up_conv6.2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/up_conv6/up_conv6.2/Relu_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="120" name="/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/Concat_output_0">
<dim>-1</dim>
<dim>1024</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="121" name="Constant_249" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="122" name="Constant_248" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="123" name="Constant_247_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="124" name="Constant_247" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="125" name="/conv6/conv6.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/conv6/conv6.0/Pad_output_0">
<dim>-1</dim>
<dim>1024</dim>
<dim>66</dim>
<dim>66</dim>
</port>
</output>
</layer>
<layer id="126" name="onnx::Conv_237_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 1024, 3, 3" offset="23005346" size="9437184" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>1024</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="127" name="onnx::Conv_237" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>1024</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_237">
<dim>512</dim>
<dim>1024</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="128" name="/conv6/conv6.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1024</dim>
<dim>66</dim>
<dim>66</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>1024</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="129" name="Reshape_262_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="32442530" size="1024" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="130" name="Reshape_262" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="131" name="/conv6/conv6.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/conv6/conv6.1/Conv_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="132" name="/conv6/conv6.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/conv6/conv6.3/Relu_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="133" name="Multiply_1920_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 2, 2" offset="32443554" size="1048576" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="134" name="Multiply_1920" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="135" name="Multiply_1883" type="ConvolutionBackpropData" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="136" name="Constant_1888_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="33492130" size="512" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="137" name="Constant_1888" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="138" name="/up_conv7/up_conv7.1/BatchNormalization" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/up_conv7/up_conv7.1/BatchNormalization_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="139" name="/up_conv7/up_conv7.2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/up_conv7/up_conv7.2/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="140" name="/Concat_1" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/Concat_1_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="141" name="Constant_278" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="142" name="Constant_277" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="143" name="Constant_276_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="144" name="Constant_276" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="145" name="/conv7/conv7.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/conv7/conv7.0/Pad_output_0">
<dim>-1</dim>
<dim>512</dim>
<dim>130</dim>
<dim>130</dim>
</port>
</output>
</layer>
<layer id="146" name="onnx::Conv_240_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 512, 3, 3" offset="33492642" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="147" name="onnx::Conv_240" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_240">
<dim>256</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="148" name="/conv7/conv7.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>512</dim>
<dim>130</dim>
<dim>130</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="149" name="Reshape_291_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="35851938" size="512" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="150" name="Reshape_291" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="151" name="/conv7/conv7.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/conv7/conv7.1/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="152" name="/conv7/conv7.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/conv7/conv7.3/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="153" name="Multiply_1926_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 128, 2, 2" offset="35852450" size="262144" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>128</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="154" name="Multiply_1926" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>128</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="155" name="Multiply_1893" type="ConvolutionBackpropData" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="156" name="Constant_1898_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="36114594" size="256" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="157" name="Constant_1898" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="158" name="/up_conv8/up_conv8.1/BatchNormalization" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/up_conv8/up_conv8.1/BatchNormalization_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="159" name="/up_conv8/up_conv8.2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/up_conv8/up_conv8.2/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="160" name="/Concat_2" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/Concat_2_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="161" name="Constant_307" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="162" name="Constant_306" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="163" name="Constant_305_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="164" name="Constant_305" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="165" name="/conv8/conv8.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/conv8/conv8.0/Pad_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>258</dim>
<dim>258</dim>
</port>
</output>
</layer>
<layer id="166" name="onnx::Conv_243_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 256, 3, 3" offset="36114850" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="167" name="onnx::Conv_243" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_243">
<dim>128</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="168" name="/conv8/conv8.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>258</dim>
<dim>258</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="169" name="Reshape_320_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="36704674" size="256" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="170" name="Reshape_320" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="171" name="/conv8/conv8.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/conv8/conv8.1/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="172" name="/conv8/conv8.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/conv8/conv8.3/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="173" name="Multiply_1932_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 64, 2, 2" offset="36704930" size="65536" />
<output>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>64</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="174" name="Multiply_1932" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>128</dim>
<dim>64</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="175" name="Multiply_1903" type="ConvolutionBackpropData" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" output_padding="0, 0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>2</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="176" name="Constant_1908_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 64, 1, 1" offset="36770466" size="128" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="177" name="Constant_1908" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="178" name="/up_conv9/up_conv9.1/BatchNormalization" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/up_conv9/up_conv9.1/BatchNormalization_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="179" name="/up_conv9/up_conv9.2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/up_conv9/up_conv9.2/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="180" name="/Concat_3" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/Concat_3_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="181" name="Constant_336" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="182" name="Constant_335" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="0" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="183" name="Constant_334_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="32" size="2" />
<output>
<port id="0" precision="FP16" />
</output>
</layer>
<layer id="184" name="Constant_334" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16" />
</input>
<output>
<port id="1" precision="FP32" />
</output>
</layer>
<layer id="185" name="/conv9/conv9.0/Pad" type="Pad" version="opset1">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="FP32" />
</input>
<output>
<port id="4" precision="FP32" names="/conv9/conv9.0/Pad_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>514</dim>
<dim>514</dim>
</port>
</output>
</layer>
<layer id="186" name="onnx::Conv_246_compressed" type="Const" version="opset1">
<data element_type="f16" shape="64, 128, 3, 3" offset="36770594" size="147456" />
<output>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="187" name="onnx::Conv_246" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="onnx::Conv_246">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="188" name="/conv9/conv9.1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>514</dim>
<dim>514</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="189" name="Reshape_349_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 64, 1, 1" offset="36918050" size="128" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="190" name="Reshape_349" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="191" name="/conv9/conv9.1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/conv9/conv9.1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="192" name="/conv9/conv9.3/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/conv9/conv9.3/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="193" name="conv11.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="32, 64, 1, 1" offset="36918178" size="4096" />
<output>
<port id="0" precision="FP16">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="194" name="conv11.weight" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="conv11.weight">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="195" name="/conv11/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="196" name="Reshape_365_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 32, 1, 1" offset="36922274" size="64" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="197" name="Reshape_365" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="198" name="output" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>512</dim>
<dim>512</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="output">
<dim>-1</dim>
<dim>32</dim>
<dim>512</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="199" name="output/sink_port_0" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>32</dim>
<dim>512</dim>
<dim>512</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="0" to-layer="5" to-port="1" />
<edge from-layer="2" from-port="0" to-layer="5" to-port="2" />
<edge from-layer="3" from-port="0" to-layer="4" to-port="0" />
<edge from-layer="4" from-port="1" to-layer="5" to-port="3" />
<edge from-layer="5" from-port="4" to-layer="8" to-port="0" />
<edge from-layer="6" from-port="0" to-layer="7" 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="11" to-port="0" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="0" />
<edge from-layer="10" from-port="1" to-layer="11" to-port="1" />
<edge from-layer="11" from-port="2" to-layer="12" to-port="0" />
<edge from-layer="12" from-port="1" to-layer="180" to-port="1" />
<edge from-layer="12" from-port="1" to-layer="17" to-port="0" />
<edge from-layer="13" from-port="0" to-layer="17" to-port="1" />
<edge from-layer="14" from-port="0" to-layer="17" to-port="2" />
<edge from-layer="15" from-port="0" to-layer="16" to-port="0" />
<edge from-layer="16" from-port="1" to-layer="17" to-port="3" />
<edge from-layer="17" from-port="4" to-layer="20" to-port="0" />
<edge from-layer="18" from-port="0" to-layer="19" to-port="0" />
<edge from-layer="19" from-port="1" to-layer="20" to-port="1" />
<edge from-layer="20" from-port="2" to-layer="23" to-port="0" />
<edge from-layer="21" from-port="0" to-layer="22" to-port="0" />
<edge from-layer="22" from-port="1" to-layer="23" to-port="1" />
<edge from-layer="23" from-port="2" to-layer="24" to-port="0" />
<edge from-layer="24" from-port="1" to-layer="25" to-port="0" />
<edge from-layer="25" from-port="1" to-layer="30" to-port="0" />
<edge from-layer="26" from-port="0" to-layer="30" to-port="1" />
<edge from-layer="27" from-port="0" to-layer="30" to-port="2" />
<edge from-layer="28" from-port="0" to-layer="29" to-port="0" />
<edge from-layer="29" from-port="1" to-layer="30" to-port="3" />
<edge from-layer="30" from-port="4" to-layer="33" to-port="0" />
<edge from-layer="31" from-port="0" to-layer="32" 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="36" to-port="0" />
<edge from-layer="34" from-port="0" to-layer="35" to-port="0" />
<edge from-layer="35" from-port="1" to-layer="36" to-port="1" />
<edge from-layer="36" from-port="2" to-layer="37" to-port="0" />
<edge from-layer="37" from-port="1" to-layer="42" to-port="0" />
<edge from-layer="37" from-port="1" to-layer="160" to-port="1" />
<edge from-layer="38" from-port="0" to-layer="42" to-port="1" />
<edge from-layer="39" from-port="0" to-layer="42" to-port="2" />
<edge from-layer="40" from-port="0" to-layer="41" to-port="0" />
<edge from-layer="41" from-port="1" to-layer="42" to-port="3" />
<edge from-layer="42" from-port="4" to-layer="45" to-port="0" />
<edge from-layer="43" from-port="0" to-layer="44" to-port="0" />
<edge from-layer="44" from-port="1" to-layer="45" to-port="1" />
<edge from-layer="45" from-port="2" to-layer="48" to-port="0" />
<edge from-layer="46" from-port="0" to-layer="47" to-port="0" />
<edge from-layer="47" from-port="1" to-layer="48" to-port="1" />
<edge from-layer="48" from-port="2" to-layer="49" to-port="0" />
<edge from-layer="49" from-port="1" to-layer="50" to-port="0" />
<edge from-layer="50" from-port="1" to-layer="55" to-port="0" />
<edge from-layer="51" from-port="0" to-layer="55" to-port="1" />
<edge from-layer="52" from-port="0" to-layer="55" to-port="2" />
<edge from-layer="53" from-port="0" to-layer="54" to-port="0" />
<edge from-layer="54" from-port="1" to-layer="55" to-port="3" />
<edge from-layer="55" from-port="4" to-layer="58" to-port="0" />
<edge from-layer="56" from-port="0" to-layer="57" 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="61" to-port="0" />
<edge from-layer="59" from-port="0" to-layer="60" 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="62" to-port="0" />
<edge from-layer="62" from-port="1" to-layer="67" to-port="0" />
<edge from-layer="62" from-port="1" to-layer="140" to-port="1" />
<edge from-layer="63" from-port="0" to-layer="67" to-port="1" />
<edge from-layer="64" from-port="0" to-layer="67" to-port="2" />
<edge from-layer="65" from-port="0" to-layer="66" to-port="0" />
<edge from-layer="66" from-port="1" to-layer="67" to-port="3" />
<edge from-layer="67" from-port="4" to-layer="70" to-port="0" />
<edge from-layer="68" from-port="0" to-layer="69" to-port="0" />
<edge from-layer="69" from-port="1" to-layer="70" to-port="1" />
<edge from-layer="70" from-port="2" to-layer="73" to-port="0" />
<edge from-layer="71" from-port="0" to-layer="72" to-port="0" />
<edge from-layer="72" from-port="1" to-layer="73" to-port="1" />
<edge from-layer="73" from-port="2" to-layer="74" to-port="0" />
<edge from-layer="74" from-port="1" to-layer="75" to-port="0" />
<edge from-layer="75" from-port="1" to-layer="80" to-port="0" />
<edge from-layer="76" from-port="0" to-layer="80" to-port="1" />
<edge from-layer="77" from-port="0" to-layer="80" to-port="2" />
<edge from-layer="78" from-port="0" to-layer="79" to-port="0" />
<edge from-layer="79" from-port="1" to-layer="80" to-port="3" />
<edge from-layer="80" from-port="4" to-layer="83" to-port="0" />
<edge from-layer="81" from-port="0" to-layer="82" 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="86" to-port="0" />
<edge from-layer="84" from-port="0" to-layer="85" to-port="0" />
<edge from-layer="85" 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="120" to-port="1" />
<edge from-layer="87" from-port="1" to-layer="92" to-port="0" />
<edge from-layer="88" from-port="0" to-layer="92" to-port="1" />
<edge from-layer="89" from-port="0" to-layer="92" to-port="2" />
<edge from-layer="90" from-port="0" to-layer="91" to-port="0" />
<edge from-layer="91" from-port="1" to-layer="92" to-port="3" />
<edge from-layer="92" from-port="4" to-layer="95" to-port="0" />
<edge from-layer="93" from-port="0" to-layer="94" to-port="0" />
<edge from-layer="94" from-port="1" to-layer="95" to-port="1" />
<edge from-layer="95" from-port="2" to-layer="98" to-port="0" />
<edge from-layer="96" from-port="0" to-layer="97" 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="99" to-port="0" />
<edge from-layer="99" from-port="1" to-layer="100" to-port="0" />
<edge from-layer="100" from-port="1" to-layer="105" to-port="0" />
<edge from-layer="101" from-port="0" to-layer="105" to-port="1" />
<edge from-layer="102" from-port="0" to-layer="105" to-port="2" />
<edge from-layer="103" from-port="0" to-layer="104" to-port="0" />
<edge from-layer="104" from-port="1" to-layer="105" to-port="3" />
<edge from-layer="105" from-port="4" to-layer="108" to-port="0" />
<edge from-layer="106" from-port="0" to-layer="107" to-port="0" />
<edge from-layer="107" from-port="1" to-layer="108" to-port="1" />
<edge from-layer="108" from-port="2" to-layer="111" to-port="0" />
<edge from-layer="109" from-port="0" to-layer="110" 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="112" from-port="1" to-layer="115" to-port="0" />
<edge from-layer="113" from-port="0" to-layer="114" 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="118" to-port="0" />
<edge from-layer="116" from-port="0" to-layer="117" to-port="0" />
<edge from-layer="117" from-port="1" to-layer="118" to-port="1" />
<edge from-layer="118" from-port="2" to-layer="119" to-port="0" />
<edge from-layer="119" from-port="1" to-layer="120" to-port="0" />
<edge from-layer="120" from-port="2" to-layer="125" to-port="0" />
<edge from-layer="121" from-port="0" to-layer="125" to-port="1" />
<edge from-layer="122" from-port="0" to-layer="125" to-port="2" />
<edge from-layer="123" from-port="0" to-layer="124" to-port="0" />
<edge from-layer="124" from-port="1" to-layer="125" to-port="3" />
<edge from-layer="125" from-port="4" to-layer="128" to-port="0" />
<edge from-layer="126" from-port="0" to-layer="127" 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="131" to-port="0" />
<edge from-layer="129" from-port="0" to-layer="130" 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="132" to-port="0" />
<edge from-layer="132" from-port="1" to-layer="135" to-port="0" />
<edge from-layer="133" from-port="0" to-layer="134" to-port="0" />
<edge from-layer="134" from-port="1" to-layer="135" to-port="1" />
<edge from-layer="135" from-port="2" to-layer="138" to-port="0" />
<edge from-layer="136" from-port="0" to-layer="137" to-port="0" />
<edge from-layer="137" from-port="1" to-layer="138" to-port="1" />
<edge from-layer="138" from-port="2" to-layer="139" to-port="0" />
<edge from-layer="139" from-port="1" to-layer="140" to-port="0" />
<edge from-layer="140" from-port="2" to-layer="145" to-port="0" />
<edge from-layer="141" from-port="0" to-layer="145" to-port="1" />
<edge from-layer="142" from-port="0" to-layer="145" to-port="2" />
<edge from-layer="143" from-port="0" to-layer="144" to-port="0" />
<edge from-layer="144" from-port="1" to-layer="145" to-port="3" />
<edge from-layer="145" from-port="4" to-layer="148" to-port="0" />
<edge from-layer="146" from-port="0" to-layer="147" 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="151" to-port="0" />
<edge from-layer="149" from-port="0" to-layer="150" to-port="0" />
<edge from-layer="150" from-port="1" to-layer="151" to-port="1" />
<edge from-layer="151" from-port="2" to-layer="152" to-port="0" />
<edge from-layer="152" from-port="1" to-layer="155" to-port="0" />
<edge from-layer="153" from-port="0" to-layer="154" 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="158" to-port="0" />
<edge from-layer="156" from-port="0" to-layer="157" to-port="0" />
<edge from-layer="157" from-port="1" to-layer="158" to-port="1" />
<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
<edge from-layer="159" from-port="1" to-layer="160" to-port="0" />
<edge from-layer="160" from-port="2" to-layer="165" to-port="0" />
<edge from-layer="161" from-port="0" to-layer="165" to-port="1" />
<edge from-layer="162" from-port="0" to-layer="165" to-port="2" />
<edge from-layer="163" from-port="0" to-layer="164" to-port="0" />
<edge from-layer="164" from-port="1" to-layer="165" to-port="3" />
<edge from-layer="165" from-port="4" to-layer="168" to-port="0" />
<edge from-layer="166" from-port="0" to-layer="167" 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="171" to-port="0" />
<edge from-layer="169" from-port="0" to-layer="170" to-port="0" />
<edge from-layer="170" from-port="1" 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="175" to-port="0" />
<edge from-layer="173" from-port="0" to-layer="174" to-port="0" />
<edge from-layer="174" from-port="1" to-layer="175" to-port="1" />
<edge from-layer="175" from-port="2" to-layer="178" to-port="0" />
<edge from-layer="176" from-port="0" to-layer="177" to-port="0" />
<edge from-layer="177" from-port="1" to-layer="178" to-port="1" />
<edge from-layer="178" from-port="2" to-layer="179" to-port="0" />
<edge from-layer="179" from-port="1" to-layer="180" to-port="0" />
<edge from-layer="180" from-port="2" to-layer="185" to-port="0" />
<edge from-layer="181" from-port="0" to-layer="185" to-port="1" />
<edge from-layer="182" from-port="0" to-layer="185" to-port="2" />
<edge from-layer="183" from-port="0" to-layer="184" to-port="0" />
<edge from-layer="184" from-port="1" to-layer="185" to-port="3" />
<edge from-layer="185" from-port="4" to-layer="188" to-port="0" />
<edge from-layer="186" from-port="0" to-layer="187" to-port="0" />
<edge from-layer="187" from-port="1" to-layer="188" to-port="1" />
<edge from-layer="188" from-port="2" to-layer="191" to-port="0" />
<edge from-layer="189" from-port="0" to-layer="190" to-port="0" />
<edge from-layer="190" from-port="1" to-layer="191" to-port="1" />
<edge from-layer="191" from-port="2" to-layer="192" to-port="0" />
<edge from-layer="192" from-port="1" to-layer="195" to-port="0" />
<edge from-layer="193" from-port="0" to-layer="194" to-port="0" />
<edge from-layer="194" from-port="1" to-layer="195" to-port="1" />
<edge from-layer="195" from-port="2" to-layer="198" to-port="0" />
<edge from-layer="196" from-port="0" to-layer="197" to-port="0" />
<edge from-layer="197" from-port="1" to-layer="198" to-port="1" />
<edge from-layer="198" from-port="2" to-layer="199" to-port="0" />
</edges>
<rt_info>
<MO_version value="2023.0.1-11005-fa1c41994f3-releases/2023/0" />
<Runtime_version value="2023.0.1-11005-fa1c41994f3-releases/2023/0" />
<conversion_parameters>
<compress_to_fp16 value="True" />
<input_model value="DIR/Davinci_eye.onnx" />
<is_python_api_used value="True" />
</conversion_parameters>
<legacy_frontend value="False" />
</rt_info>
</net>