Keyven's picture
Mirror von Keyven/AnomalyDetection-MVTech-Metal (Original + DOI bleiben unter Keyven)
06bf366 verified
Raw
History Blame Contribute Delete
89.8 kB
<?xml version="1.0"?>
<net name="main_graph" version="11">
<layers>
<layer id="0" name="input" type="Parameter" version="opset1">
<data shape="?,3,?,?" element_type="f32" />
<output>
<port id="0" precision="FP32" names="input">
<dim>-1</dim>
<dim>3</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="/transform/Concat" 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="/transform/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/transform/Reshape_output_0">
<dim>-1</dim>
<dim>3</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="3" name="/transform/Shape_4" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="/transform/Shape_1_output_0,/transform/Shape_2_output_0,/transform/Shape_3_output_0,/transform/Shape_4_output_0,/transform/Shape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="4" name="/transform/Constant_6" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/transform/Constant_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="/transform/Constant_7" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="40" size="8" />
<output>
<port id="0" precision="I64" names="/transform/Constant_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="6" name="Broadcast_67" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="48" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="/transform/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/transform/Constant_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="8" name="/transform/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/transform/Slice_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="9" name="/transform/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="56" size="16" />
<output>
<port id="0" precision="I64" names="/transform/Constant_8_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="10" name="/transform/Concat_1" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/transform/Concat_1_output_0,/transform/Concat_2_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="11" name="/transform/Resize" type="Interpolate" version="opset11">
<data mode="linear_onnx" shape_calculation_mode="sizes" coordinate_transformation_mode="half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/transform/Resize_output_0">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="12" name="Constant_2938" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="72" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="13" name="/transform/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/transform/Reshape_1_output_0">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="14" name="Constant_2820" type="Const" version="opset1">
<data element_type="f32" shape="1, 3, 1, 1" offset="104" size="12" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="15" name="Multiply_2763" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="16" name="Constant_2821" type="Const" version="opset1">
<data element_type="f32" shape="1, 3, 1, 1" offset="116" size="12" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="17" name="/transform/Div" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/transform/Div_output_0">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="18" name="onnx::Conv_355" type="Const" version="opset1">
<data element_type="f32" shape="64, 3, 7, 7" offset="128" size="37632" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_355">
<dim>64</dim>
<dim>3</dim>
<dim>7</dim>
<dim>7</dim>
</port>
</output>
</layer>
<layer id="19" name="/model/feature_extractor/feature_extractor/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="3, 3" pads_end="3, 3" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>3</dim>
<dim>7</dim>
<dim>7</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="20" name="Reshape_110" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="37760" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="21" name="/model/feature_extractor/feature_extractor/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</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="/model/feature_extractor/feature_extractor/conv1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="22" name="/model/feature_extractor/feature_extractor/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/act1/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="23" name="/model/feature_extractor/feature_extractor/maxpool/MaxPool" type="MaxPool" version="opset8">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" kernel="3, 3" 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>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/maxpool/MaxPool_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="24" name="onnx::Conv_358" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="38016" size="147456" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_358">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="25" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="26" name="Reshape_125" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="185472" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="27" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="28" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.0/act1/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="29" name="onnx::Conv_361" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="185728" size="147456" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_361">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="30" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="31" name="Reshape_139" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="333184" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="32" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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="/model/feature_extractor/feature_extractor/layer1/layer1.0/conv2/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="33" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.0/Add_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="34" name="/model/feature_extractor/feature_extractor/layer1/layer1.0/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.0/act2/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="35" name="onnx::Conv_364" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="333440" size="147456" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_364">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="36" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="37" name="Reshape_154" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="480896" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="38" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv1/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="39" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.1/act1/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="40" name="onnx::Conv_367" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="481152" size="147456" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_367">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="41" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="42" name="Reshape_168" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="628608" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="43" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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="/model/feature_extractor/feature_extractor/layer1/layer1.1/conv2/Conv_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="44" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.1/Add_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="45" name="/model/feature_extractor/feature_extractor/layer1/layer1.1/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer1/layer1.1/act2/Relu_output_0">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="46" name="onnx::Conv_370" type="Const" version="opset1">
<data element_type="f32" shape="128, 64, 3, 3" offset="628864" size="294912" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_370">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="47" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="48" name="Reshape_183" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="923776" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="49" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv1/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="50" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.0/act1/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="51" name="onnx::Conv_373" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="924288" size="589824" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_373">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="52" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="53" name="Reshape_197" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="1514112" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="54" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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="/model/feature_extractor/feature_extractor/layer2/layer2.0/conv2/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="55" name="onnx::Conv_376" type="Const" version="opset1">
<data element_type="f32" shape="128, 64, 1, 1" offset="1514624" size="32768" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_376">
<dim>128</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="56" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/downsample/downsample.0/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" 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>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="57" name="Reshape_210" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="1547392" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="58" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/downsample/downsample.0/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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="/model/feature_extractor/feature_extractor/layer2/layer2.0/downsample/downsample.0/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="59" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.0/Add_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="60" name="/model/feature_extractor/feature_extractor/layer2/layer2.0/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.0/act2/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="61" name="onnx::Conv_379" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="1547904" size="589824" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_379">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="62" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="63" name="Reshape_225" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="2137728" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="64" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv1/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="65" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.1/act1/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="66" name="onnx::Conv_382" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="2138240" size="589824" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_382">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="67" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="68" name="Reshape_239" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="2728064" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="69" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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="/model/feature_extractor/feature_extractor/layer2/layer2.1/conv2/Conv_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="70" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.1/Add_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="71" name="/model/feature_extractor/feature_extractor/layer2/layer2.1/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer2/layer2.1/act2/Relu_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="72" name="/model/Shape_4" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="/model/Shape_4_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="73" name="/model/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="74" name="/model/Constant_6" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="40" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="75" name="Broadcast_333" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="48" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="76" name="/model/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_4_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="77" name="/model/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/model/Slice_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="78" name="/model/Shape_2" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="/model/Shape_2_output_0,/model/Shape_3_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="79" name="Constant_2571" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="2728576" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="80" name="Constant_2572" type="Const" version="opset1">
<data element_type="i64" shape="" offset="32" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="81" name="Gather_2573" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/model/Cast_1_output_0,/model/Cast_output_0,/model/Concat_3_output_0,/model/Concat_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="82" name="/model/Concat_1" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/model/Concat_1_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="83" name="/model/Resize" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="sizes" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/Resize_output_0">
<dim>-1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="84" name="/model/Concat_2" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>64</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/Concat_2_output_0">
<dim>-1</dim>
<dim>192</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="85" name="onnx::Conv_385" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 3, 3" offset="2728592" size="1179648" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_385">
<dim>256</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="86" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>128</dim>
<dim>32</dim>
<dim>32</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>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="87" name="Reshape_254" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="3908240" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="88" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv1/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="89" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.0/act1/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="90" name="onnx::Conv_388" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 3, 3" offset="3909264" size="2359296" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_388">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="91" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="92" name="Reshape_268" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="6268560" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="93" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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="/model/feature_extractor/feature_extractor/layer3/layer3.0/conv2/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="94" name="onnx::Conv_391" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 1, 1" offset="6269584" size="131072" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_391">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="95" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/downsample/downsample.0/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" 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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="96" name="Reshape_281" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="6400656" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="97" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/downsample/downsample.0/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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="/model/feature_extractor/feature_extractor/layer3/layer3.0/downsample/downsample.0/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="98" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.0/Add_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="99" name="/model/feature_extractor/feature_extractor/layer3/layer3.0/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.0/act2/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="100" name="onnx::Conv_394" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 3, 3" offset="6401680" size="2359296" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_394">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="101" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="102" name="Reshape_296" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="8760976" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="103" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv1/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="104" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/act1/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.1/act1/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="105" name="onnx::Conv_397" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 3, 3" offset="8762000" size="2359296" />
<output>
<port id="0" precision="FP32" names="onnx::Conv_397">
<dim>256</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="106" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="107" name="Reshape_310" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="11121296" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="108" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</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="/model/feature_extractor/feature_extractor/layer3/layer3.1/conv2/Conv_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="109" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.1/Add_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="110" name="/model/feature_extractor/feature_extractor/layer3/layer3.1/act2/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/feature_extractor/feature_extractor/layer3/layer3.1/act2/Relu_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="111" name="/model/Shape_7" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="/model/Shape_7_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="112" name="/model/Constant_10" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_10_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="113" name="/model/Constant_11" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="40" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_11_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="114" name="Broadcast_369" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="48" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="115" name="/model/Constant_9" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/Constant_9_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="116" name="/model/Slice_1" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/model/Slice_1_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="117" name="/model/Concat_4" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/model/Concat_4_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="118" name="/model/Resize_1" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="sizes" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/Resize_1_output_0">
<dim>-1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="119" name="/model/Concat_5" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>192</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/Concat_5_output_0">
<dim>-1</dim>
<dim>448</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="120" name="onnx::Gather_403" type="Const" version="opset1">
<data element_type="i64" shape="100" offset="11122320" size="800" />
<output>
<port id="0" precision="I64" names="onnx::Gather_403">
<dim>100</dim>
</port>
</output>
</layer>
<layer id="121" name="Constant_386" type="Const" version="opset1">
<data element_type="i64" shape="" offset="48" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="122" name="/model/Gather_6" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>448</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>100</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="FP32" names="/model/Gather_6_output_0">
<dim>-1</dim>
<dim>100</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="123" name="Constant_2939" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="11123120" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="124" name="/model/anomaly_map_generator/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>100</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Reshape_output_0">
<dim>-1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="125" name="Constant_2822" type="Const" version="opset1">
<data element_type="f32" shape="1, 100, 4096" offset="11123144" size="1638400" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="126" name="/model/anomaly_map_generator/Sub" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Sub_output_0">
<dim>-1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="127" name="Constant_414" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="12761544" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="128" name="/model/anomaly_map_generator/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>100</dim>
<dim>4096</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Transpose_output_0">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
</output>
</layer>
<layer id="129" name="onnx::MatMul_405" type="Const" version="opset1">
<data element_type="f32" shape="4096, 100, 100" offset="12761568" size="163840000" />
<output>
<port id="0" precision="FP32" names="onnx::MatMul_405">
<dim>4096</dim>
<dim>100</dim>
<dim>100</dim>
</port>
</output>
</layer>
<layer id="130" name="/model/anomaly_map_generator/MatMul" type="MatMul" version="opset1">
<data transpose_a="false" transpose_b="false" />
<input>
<port id="0" precision="FP32">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
<port id="1" precision="FP32">
<dim>4096</dim>
<dim>100</dim>
<dim>100</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/MatMul_output_0">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
</output>
</layer>
<layer id="131" name="/model/anomaly_map_generator/Mul_1" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
<port id="1" precision="FP32">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Mul_1_output_0">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
</output>
</layer>
<layer id="132" name="Constant_216" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="40" size="8" />
<output>
<port id="0" precision="I64" names="onnx::ReduceSum_275">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="133" name="/model/anomaly_map_generator/ReduceSum" type="ReduceSum" version="opset1">
<data keep_dims="false" />
<input>
<port id="0" precision="FP32">
<dim>4096</dim>
<dim>-1</dim>
<dim>100</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/ReduceSum_output_0">
<dim>4096</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="134" name="Constant_420" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="176601568" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="135" name="/model/anomaly_map_generator/Transpose_1" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>4096</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Transpose_1_output_0">
<dim>-1</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="136" name="Constant_2940" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="176601584" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="137" name="/model/anomaly_map_generator/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>4096</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Reshape_1_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="138" name="/model/anomaly_map_generator/Clip" type="Clamp" version="opset1">
<data min="0" max="3.4028234663852886e+38" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/anomaly_map_generator/Clip_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="139" name="/model/anomaly_map_generator/Sqrt" type="Sqrt" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/model/anomaly_map_generator/Sqrt_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="140" name="Constant_2911" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="141" name="Constant_2912" type="Const" version="opset1">
<data element_type="i64" shape="" offset="32" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="142" name="Gather_2913" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/model/anomaly_map_generator/Gather_output_0,/model/anomaly_map_generator/Unsqueeze_3_output_0,/model/anomaly_map_generator/Unsqueeze_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="143" name="/model/anomaly_map_generator/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="48" size="8" />
<output>
<port id="0" precision="I64" names="/model/anomaly_map_generator/Constant_4_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="144" name="/model/anomaly_map_generator/Concat_1" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="I64" names="/model/anomaly_map_generator/Concat_1_output_0,/model/anomaly_map_generator/Shape_4_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="145" name="/model/anomaly_map_generator/Constant_7" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/anomaly_map_generator/Constant_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="146" name="/model/anomaly_map_generator/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="40" size="8" />
<output>
<port id="0" precision="I64" names="/model/anomaly_map_generator/Constant_8_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="147" name="Broadcast_448" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="48" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="148" name="/model/anomaly_map_generator/Constant_6" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="32" size="8" />
<output>
<port id="0" precision="I64" names="/model/anomaly_map_generator/Constant_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="149" name="/model/anomaly_map_generator/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/model/anomaly_map_generator/Slice_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="150" name="/model/Shape" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="/model/Shape_1_output_0,/model/Shape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="151" name="Constant_2589" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="2728576" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="152" name="Constant_2590" type="Const" version="opset1">
<data element_type="i64" shape="" offset="32" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="153" name="Gather_2591" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/model/anomaly_map_generator/Cast_output_0,/model/anomaly_map_generator/Concat_2_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="154" name="/model/anomaly_map_generator/Concat_3" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/model/anomaly_map_generator/Concat_3_output_0,/model/anomaly_map_generator/blur/Concat_1_output_0,/model/anomaly_map_generator/blur/Shape_1_output_0,/model/anomaly_map_generator/blur/Shape_2_output_0,/model/anomaly_map_generator/blur/Shape_3_output_0,/model/anomaly_map_generator/blur/Shape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="155" name="/model/anomaly_map_generator/Resize" type="Interpolate" version="opset11">
<data mode="linear_onnx" shape_calculation_mode="sizes" coordinate_transformation_mode="half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/Resize_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="156" name="Split_500.0" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="176601616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="157" name="Split_500.1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="176601616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="158" name="Constant_498" type="Const" version="opset1">
<data element_type="f32" shape="" offset="176601648" size="4" />
<output>
<port id="0" precision="FP32" />
</output>
</layer>
<layer id="159" name="/model/anomaly_map_generator/blur/Pad" type="Pad" version="opset12">
<data pad_mode="reflect" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</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="/model/anomaly_map_generator/blur/Pad_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>288</dim>
<dim>288</dim>
</port>
</output>
</layer>
<layer id="160" name="model.anomaly_map_generator.blur.kernel" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 33, 33" offset="176601652" size="4356" />
<output>
<port id="0" precision="FP32" names="model.anomaly_map_generator.blur.kernel">
<dim>1</dim>
<dim>1</dim>
<dim>33</dim>
<dim>33</dim>
</port>
</output>
</layer>
<layer id="161" name="/model/anomaly_map_generator/blur/Conv" 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>1</dim>
<dim>288</dim>
<dim>288</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>33</dim>
<dim>33</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/model/anomaly_map_generator/blur/Conv_output_0">
<dim>-1</dim>
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="162" name="Constant_2941" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="176606008" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="163" name="output" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="output">
<dim>-1</dim>
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="164" name="output/sink_port_0" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="2" to-port="1" />
<edge from-layer="2" from-port="2" to-layer="3" to-port="0" />
<edge from-layer="2" from-port="2" to-layer="11" to-port="0" />
<edge from-layer="3" from-port="1" to-layer="8" to-port="0" />
<edge from-layer="3" from-port="1" to-layer="142" to-port="0" />
<edge from-layer="4" from-port="0" to-layer="8" to-port="1" />
<edge from-layer="5" from-port="0" to-layer="8" to-port="2" />
<edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
<edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
<edge from-layer="8" from-port="5" to-layer="10" to-port="0" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
<edge from-layer="10" from-port="2" to-layer="11" to-port="1" />
<edge from-layer="11" from-port="2" to-layer="13" to-port="0" />
<edge from-layer="12" from-port="0" 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="0" to-layer="15" to-port="1" />
<edge from-layer="15" from-port="2" to-layer="17" to-port="0" />
<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
<edge from-layer="17" from-port="2" to-layer="150" to-port="0" />
<edge from-layer="17" from-port="2" to-layer="19" to-port="0" />
<edge from-layer="18" from-port="0" to-layer="19" to-port="1" />
<edge from-layer="19" from-port="2" to-layer="21" to-port="0" />
<edge from-layer="20" from-port="0" to-layer="21" to-port="1" />
<edge from-layer="21" from-port="2" to-layer="22" to-port="0" />
<edge from-layer="22" from-port="1" to-layer="23" to-port="0" />
<edge from-layer="23" from-port="1" to-layer="25" to-port="0" />
<edge from-layer="23" from-port="1" to-layer="33" to-port="1" />
<edge from-layer="24" from-port="0" to-layer="25" to-port="1" />
<edge from-layer="25" from-port="2" to-layer="27" to-port="0" />
<edge from-layer="26" from-port="0" to-layer="27" to-port="1" />
<edge from-layer="27" from-port="2" to-layer="28" to-port="0" />
<edge from-layer="28" from-port="1" to-layer="30" to-port="0" />
<edge from-layer="29" from-port="0" to-layer="30" to-port="1" />
<edge from-layer="30" from-port="2" to-layer="32" to-port="0" />
<edge from-layer="31" from-port="0" to-layer="32" to-port="1" />
<edge from-layer="32" from-port="2" to-layer="33" to-port="0" />
<edge from-layer="33" from-port="2" to-layer="34" to-port="0" />
<edge from-layer="34" from-port="1" to-layer="36" to-port="0" />
<edge from-layer="34" from-port="1" to-layer="44" to-port="1" />
<edge from-layer="35" from-port="0" to-layer="36" to-port="1" />
<edge from-layer="36" from-port="2" to-layer="38" to-port="0" />
<edge from-layer="37" from-port="0" to-layer="38" to-port="1" />
<edge from-layer="38" from-port="2" to-layer="39" to-port="0" />
<edge from-layer="39" from-port="1" to-layer="41" to-port="0" />
<edge from-layer="40" from-port="0" to-layer="41" to-port="1" />
<edge from-layer="41" from-port="2" to-layer="43" to-port="0" />
<edge from-layer="42" from-port="0" to-layer="43" to-port="1" />
<edge from-layer="43" from-port="2" to-layer="44" to-port="0" />
<edge from-layer="44" from-port="2" to-layer="45" to-port="0" />
<edge from-layer="45" from-port="1" to-layer="47" to-port="0" />
<edge from-layer="45" from-port="1" to-layer="78" to-port="0" />
<edge from-layer="45" from-port="1" to-layer="56" to-port="0" />
<edge from-layer="45" from-port="1" to-layer="84" to-port="0" />
<edge from-layer="46" from-port="0" to-layer="47" to-port="1" />
<edge from-layer="47" from-port="2" to-layer="49" to-port="0" />
<edge from-layer="48" from-port="0" to-layer="49" to-port="1" />
<edge from-layer="49" from-port="2" to-layer="50" to-port="0" />
<edge from-layer="50" from-port="1" to-layer="52" to-port="0" />
<edge from-layer="51" from-port="0" to-layer="52" to-port="1" />
<edge from-layer="52" from-port="2" to-layer="54" to-port="0" />
<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
<edge from-layer="54" from-port="2" to-layer="59" to-port="0" />
<edge from-layer="55" from-port="0" to-layer="56" to-port="1" />
<edge from-layer="56" from-port="2" to-layer="58" to-port="0" />
<edge from-layer="57" from-port="0" to-layer="58" to-port="1" />
<edge from-layer="58" from-port="2" to-layer="59" to-port="1" />
<edge from-layer="59" from-port="2" to-layer="60" to-port="0" />
<edge from-layer="60" from-port="1" to-layer="62" to-port="0" />
<edge from-layer="60" from-port="1" to-layer="70" to-port="1" />
<edge from-layer="61" from-port="0" to-layer="62" to-port="1" />
<edge from-layer="62" from-port="2" to-layer="64" to-port="0" />
<edge from-layer="63" from-port="0" to-layer="64" to-port="1" />
<edge from-layer="64" from-port="2" to-layer="65" to-port="0" />
<edge from-layer="65" from-port="1" to-layer="67" to-port="0" />
<edge from-layer="66" from-port="0" to-layer="67" to-port="1" />
<edge from-layer="67" from-port="2" to-layer="69" to-port="0" />
<edge from-layer="68" from-port="0" to-layer="69" to-port="1" />
<edge from-layer="69" from-port="2" to-layer="70" to-port="0" />
<edge from-layer="70" from-port="2" to-layer="71" to-port="0" />
<edge from-layer="71" from-port="1" to-layer="72" to-port="0" />
<edge from-layer="71" from-port="1" to-layer="83" to-port="0" />
<edge from-layer="71" from-port="1" to-layer="95" to-port="0" />
<edge from-layer="71" from-port="1" to-layer="86" to-port="0" />
<edge from-layer="72" from-port="1" to-layer="77" to-port="0" />
<edge from-layer="73" from-port="0" to-layer="77" to-port="1" />
<edge from-layer="74" from-port="0" to-layer="77" to-port="2" />
<edge from-layer="75" from-port="0" to-layer="77" to-port="3" />
<edge from-layer="76" from-port="0" to-layer="77" to-port="4" />
<edge from-layer="77" from-port="5" to-layer="82" to-port="0" />
<edge from-layer="78" from-port="1" to-layer="81" to-port="0" />
<edge from-layer="79" from-port="0" to-layer="81" to-port="1" />
<edge from-layer="80" from-port="0" to-layer="81" to-port="2" />
<edge from-layer="81" from-port="3" to-layer="82" to-port="1" />
<edge from-layer="81" from-port="3" to-layer="144" to-port="2" />
<edge from-layer="81" from-port="3" to-layer="117" to-port="1" />
<edge from-layer="82" from-port="2" to-layer="83" to-port="1" />
<edge from-layer="83" from-port="2" to-layer="84" to-port="1" />
<edge from-layer="84" from-port="2" to-layer="119" to-port="0" />
<edge from-layer="85" from-port="0" to-layer="86" to-port="1" />
<edge from-layer="86" from-port="2" to-layer="88" to-port="0" />
<edge from-layer="87" from-port="0" to-layer="88" to-port="1" />
<edge from-layer="88" from-port="2" to-layer="89" to-port="0" />
<edge from-layer="89" from-port="1" to-layer="91" to-port="0" />
<edge from-layer="90" from-port="0" to-layer="91" to-port="1" />
<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
<edge from-layer="92" from-port="0" to-layer="93" to-port="1" />
<edge from-layer="93" from-port="2" to-layer="98" to-port="0" />
<edge from-layer="94" from-port="0" to-layer="95" to-port="1" />
<edge from-layer="95" from-port="2" to-layer="97" to-port="0" />
<edge from-layer="96" from-port="0" to-layer="97" to-port="1" />
<edge from-layer="97" from-port="2" 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="101" to-port="0" />
<edge from-layer="99" from-port="1" to-layer="109" to-port="1" />
<edge from-layer="100" from-port="0" to-layer="101" to-port="1" />
<edge from-layer="101" from-port="2" to-layer="103" to-port="0" />
<edge from-layer="102" from-port="0" to-layer="103" to-port="1" />
<edge from-layer="103" from-port="2" to-layer="104" to-port="0" />
<edge from-layer="104" from-port="1" to-layer="106" to-port="0" />
<edge from-layer="105" from-port="0" to-layer="106" to-port="1" />
<edge from-layer="106" from-port="2" to-layer="108" to-port="0" />
<edge from-layer="107" from-port="0" to-layer="108" to-port="1" />
<edge from-layer="108" from-port="2" to-layer="109" to-port="0" />
<edge from-layer="109" from-port="2" to-layer="110" to-port="0" />
<edge from-layer="110" from-port="1" to-layer="111" to-port="0" />
<edge from-layer="110" from-port="1" to-layer="118" to-port="0" />
<edge from-layer="111" from-port="1" to-layer="116" to-port="0" />
<edge from-layer="112" from-port="0" to-layer="116" to-port="1" />
<edge from-layer="113" from-port="0" to-layer="116" to-port="2" />
<edge from-layer="114" from-port="0" to-layer="116" to-port="3" />
<edge from-layer="115" from-port="0" to-layer="116" to-port="4" />
<edge from-layer="116" from-port="5" to-layer="117" to-port="0" />
<edge from-layer="117" from-port="2" to-layer="118" to-port="1" />
<edge from-layer="118" from-port="2" to-layer="119" to-port="1" />
<edge from-layer="119" from-port="2" to-layer="122" to-port="0" />
<edge from-layer="120" from-port="0" to-layer="122" to-port="1" />
<edge from-layer="121" from-port="0" to-layer="122" to-port="2" />
<edge from-layer="122" from-port="3" to-layer="124" to-port="0" />
<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
<edge from-layer="126" from-port="2" to-layer="128" to-port="0" />
<edge from-layer="127" from-port="0" to-layer="128" to-port="1" />
<edge from-layer="128" from-port="2" to-layer="130" to-port="0" />
<edge from-layer="128" from-port="2" to-layer="131" to-port="1" />
<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
<edge from-layer="130" from-port="2" to-layer="131" to-port="0" />
<edge from-layer="131" from-port="2" to-layer="133" to-port="0" />
<edge from-layer="132" from-port="0" to-layer="133" to-port="1" />
<edge from-layer="133" from-port="2" to-layer="135" to-port="0" />
<edge from-layer="134" from-port="0" to-layer="135" to-port="1" />
<edge from-layer="135" from-port="2" to-layer="137" to-port="0" />
<edge from-layer="136" from-port="0" to-layer="137" to-port="1" />
<edge from-layer="137" from-port="2" to-layer="138" to-port="0" />
<edge from-layer="138" from-port="1" to-layer="139" to-port="0" />
<edge from-layer="139" from-port="1" to-layer="155" to-port="0" />
<edge from-layer="140" from-port="0" to-layer="142" to-port="1" />
<edge from-layer="141" from-port="0" to-layer="142" to-port="2" />
<edge from-layer="142" from-port="3" to-layer="144" to-port="0" />
<edge from-layer="143" from-port="0" to-layer="144" to-port="1" />
<edge from-layer="144" from-port="3" to-layer="149" to-port="0" />
<edge from-layer="145" from-port="0" to-layer="149" to-port="1" />
<edge from-layer="146" from-port="0" to-layer="149" to-port="2" />
<edge from-layer="147" from-port="0" to-layer="149" to-port="3" />
<edge from-layer="148" from-port="0" to-layer="149" to-port="4" />
<edge from-layer="149" from-port="5" to-layer="154" to-port="0" />
<edge from-layer="150" from-port="1" to-layer="153" to-port="0" />
<edge from-layer="151" from-port="0" to-layer="153" to-port="1" />
<edge from-layer="152" from-port="0" to-layer="153" to-port="2" />
<edge from-layer="153" from-port="3" to-layer="154" to-port="1" />
<edge from-layer="154" from-port="2" to-layer="155" to-port="1" />
<edge from-layer="155" from-port="2" to-layer="159" to-port="0" />
<edge from-layer="156" from-port="0" to-layer="159" to-port="1" />
<edge from-layer="157" from-port="0" to-layer="159" to-port="2" />
<edge from-layer="158" from-port="0" to-layer="159" to-port="3" />
<edge from-layer="159" from-port="4" to-layer="161" to-port="0" />
<edge from-layer="160" from-port="0" to-layer="161" to-port="1" />
<edge from-layer="161" from-port="2" to-layer="163" to-port="0" />
<edge from-layer="162" from-port="0" to-layer="163" to-port="1" />
<edge from-layer="163" from-port="2" to-layer="164" to-port="0" />
</edges>
<rt_info>
<Runtime_version value="2024.5.0-17288-7975fa5da0c-refs/pull/3856/head" />
<conversion_parameters>
<is_python_object value="False" />
</conversion_parameters>
</rt_info>
</net>