leeyunjai's picture
ovkit mirror upload (batch 1)
c39840c verified
Raw
History Blame Contribute Delete
473 kB
<?xml version="1.0"?>
<net name="onnx_Frontend_IR" version="11">
<layers>
<layer id="0" name="image" type="Parameter" version="opset1">
<data shape="1,3,256,256" element_type="f32" />
<output>
<port id="0" precision="FP32" names="image">
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="1" name="/stem/conv1/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="16, 3, 3, 3" offset="0" size="864" />
<output>
<port id="0" precision="FP16" names="/stem/conv1/Mul_2_output_0">
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="2" name="/stem/conv1/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="3" name="/stem/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" 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>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="4" name="Reshape_69306_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 16, 1, 1" offset="864" size="32" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="Reshape_69306" 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>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="6" name="/stem/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stem/conv1/Conv_output_0">
<dim>1</dim>
<dim>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="7" name="/stem/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stem/act2/Mul_1_output_0">
<dim>1</dim>
<dim>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="8" name="Constant_80361_compressed" type="Const" version="opset1">
<data element_type="f16" shape="32, 16, 3, 3" offset="896" size="9216" />
<output>
<port id="0" precision="FP16">
<dim>32</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="9" name="Constant_80361" 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>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="10" name="/stem/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>16</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="11" name="Reshape_69348_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 32, 1, 1" offset="10112" 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="12" name="Reshape_69348" 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="13" name="/stem/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>128</dim>
<dim>128</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="/stem/conv2/Conv_output_0">
<dim>1</dim>
<dim>32</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="14" name="/stem/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stem/act3/Mul_1_output_0">
<dim>1</dim>
<dim>32</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="15" name="Constant_80403_compressed" type="Const" version="opset1">
<data element_type="f16" shape="64, 32, 3, 3" offset="10176" size="36864" />
<output>
<port id="0" precision="FP16">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="16" name="Constant_80403" 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>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="17" name="/stem/conv3/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>32</dim>
<dim>128</dim>
<dim>128</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</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="18" name="Reshape_69390_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 64, 1, 1" offset="47040" 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="19" name="Reshape_69390" 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="20" name="/stem/conv3/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="/stem/conv3/Conv_output_0">
<dim>1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="21" name="/stem/act4/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<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="/stem/act4/Mul_1_output_0">
<dim>1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="22" name="Constant_96138" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="23" name="/stem/act4/Mul_2" type="Multiply" 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>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stem/act4/Mul_2_output_0">
<dim>1</dim>
<dim>64</dim>
<dim>128</dim>
<dim>128</dim>
</port>
</output>
</layer>
<layer id="24" name="/stem/conv4/Constant_3" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47172" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_3_output_0" />
</output>
</layer>
<layer id="25" name="ShapeOf_97575" type="ShapeOf" version="opset3">
<data output_type="i64" />
<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="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="26" name="Constant_97576" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47180" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="27" name="Constant_97577" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="28" name="Gather_97578" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stem/conv4/Gather_1_output_0" />
</output>
</layer>
<layer id="29" name="/stem/conv4/Sub_1" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Sub_1_output_0" />
</output>
</layer>
<layer id="30" name="/stem/conv4/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_4_output_0" />
</output>
</layer>
<layer id="31" name="/stem/conv4/Div" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Cast_1_output_0,/stem/conv4/Cast_output_0,/stem/conv4/Div_output_0" />
</output>
</layer>
<layer id="32" name="Constant_69433" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="33" name="/stem/conv4/Unsqueeze_4" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Unsqueeze_4_output_0,/stem/conv4/Unsqueeze_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="34" name="/stem/conv4/Sub_2" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Sub_2_output_0" />
</output>
</layer>
<layer id="35" name="Constant_69435" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="36" name="/stem/conv4/Unsqueeze_5" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Unsqueeze_1_output_0,/stem/conv4/Unsqueeze_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="37" name="/stem/conv4/Constant_2" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47172" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_2_output_0" />
</output>
</layer>
<layer id="38" name="Constant_97580" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="39" name="Constant_97581" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="40" name="Gather_97582" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stem/conv4/Gather_output_0" />
</output>
</layer>
<layer id="41" name="/stem/conv4/Sub" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Sub_output_0" />
</output>
</layer>
<layer id="42" name="/stem/conv4/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_5_output_0" />
</output>
</layer>
<layer id="43" name="/stem/conv4/Div_1" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Cast_2_output_0,/stem/conv4/Cast_3_output_0,/stem/conv4/Div_1_output_0" />
</output>
</layer>
<layer id="44" name="Constant_69437" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="45" name="/stem/conv4/Unsqueeze_6" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Unsqueeze_2_output_0,/stem/conv4/Unsqueeze_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="46" name="/stem/conv4/Sub_3" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Sub_3_output_0" />
</output>
</layer>
<layer id="47" name="Constant_69439" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="48" name="/stem/conv4/Unsqueeze_7" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Unsqueeze_3_output_0,/stem/conv4/Unsqueeze_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="49" name="/stem/conv4/ConstantOfShape" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="47204" size="32" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/ConstantOfShape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="50" name="/stem/conv4/Concat_2" 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>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/stem/conv4/Concat_2_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="51" name="/stem/conv4/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47236" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_8_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="52" name="/stem/conv4/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Reshape_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="53" name="/stem/conv4/Constant_10" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_10_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="54" name="/stem/conv4/Constant_11" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47260" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_11_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="55" name="/stem/conv4/Constant_12" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_12_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="56" name="/stem/conv4/Constant_9" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stem/conv4/Constant_9_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="57" name="/stem/conv4/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</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="/stem/conv4/Slice_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="58" name="Constant_69462" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47268" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="59" name="/stem/conv4/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Transpose_output_0">
<dim>2</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="60" name="Constant_84078" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="61" name="/stem/conv4/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stem/conv4/Cast_5_output_0,/stem/conv4/Reshape_1_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="62" name="Constant_69468" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="63" name="Split_69469" type="Split" version="opset1">
<data num_splits="2" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="64" name="/stem/conv4/Constant_14_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="47284" size="2" />
<output>
<port id="0" precision="FP16" names="/stem/conv4/Constant_14_output_0" />
</output>
</layer>
<layer id="65" name="/stem/conv4/Constant_14" 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="66" name="/stem/conv4/Pad" type="Pad" version="opset12">
<data pad_mode="constant" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</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="/stem/conv4/Pad_output_0">
<dim>1</dim>
<dim>64</dim>
<dim>129</dim>
<dim>129</dim>
</port>
</output>
</layer>
<layer id="67" name="/stem/conv4/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 64, 3, 3" offset="47286" size="147456" />
<output>
<port id="0" precision="FP16" names="/stem/conv4/Mul_2_output_0">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="68" name="/stem/conv4/Mul_2" 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">
<dim>128</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="69" name="/stem/conv4/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>129</dim>
<dim>129</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="70" name="Reshape_69601_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="194742" 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="71" name="Reshape_69601" 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="72" name="/stem/conv4/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</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="/stem/conv4/Conv_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="73" name="/stages/stages.0/stages.0.0/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/act1/Mul_1_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="74" name="Constant_96139" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="75" name="/stages/stages.0/stages.0.0/act1/Mul_2" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.0/stages.0.0/Mul_output_0,/stages/stages.0/stages.0.0/act1/Mul_2_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="76" name="/stages/stages.0/stages.0.0/conv1/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 128, 1, 1" offset="194998" size="32768" />
<output>
<port id="0" precision="FP16" names="/stages/stages.0/stages.0.0/conv1/Mul_2_output_0">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="77" name="/stages/stages.0/stages.0.0/conv1/Mul_2" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="78" name="/stages/stages.0/stages.0.0/conv1/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>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="79" name="Reshape_69677_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="227766" 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="80" name="Reshape_69677" 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="81" name="/stages/stages.0/stages.0.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/conv1/Conv_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="82" name="/stages/stages.0/stages.0.0/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/act2/Mul_1_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="83" name="Constant_80447_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 128, 3, 3" offset="228022" 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="84" name="Constant_80447" 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">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="85" name="/stages/stages.0/stages.0.0/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>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="86" name="Reshape_69719_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="522934" 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="87" name="Reshape_69719" 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="88" name="/stages/stages.0/stages.0.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/conv2/Conv_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="89" name="/stages/stages.0/stages.0.0/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="90" name="Constant_80489_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 128, 3, 3" offset="523190" 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="91" name="Constant_80489" 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">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="92" name="/stages/stages.0/stages.0.0/conv2b/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>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="93" name="Reshape_69761_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="818102" 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="94" name="Reshape_69761" 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="95" name="/stages/stages.0/stages.0.0/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/conv2b/Conv_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="96" name="/stages/stages.0/stages.0.0/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/act3/Mul_1_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="97" name="Constant_80531_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 128, 1, 1" offset="818358" size="65536" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="98" name="Constant_80531" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="99" name="/stages/stages.0/stages.0.0/conv3/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>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="100" name="Reshape_69803_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="883894" 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="101" name="Reshape_69803" 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="102" name="/stages/stages.0/stages.0.0/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/conv3/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="103" name="Constant_69805" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="104" name="/stages/stages.0/stages.0.0/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<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>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.0/stages.0.0/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="105" name="stages.0.0.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="128, 256, 1, 1" offset="884422" size="65536" />
<output>
<port id="0" precision="FP16" names="stages.0.0.attn_last.fc1.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="106" name="stages.0.0.attn_last.fc1.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>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="107" name="/stages/stages.0/stages.0.0/attn_last/fc1/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>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="108" name="Reshape_69820_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 128, 1, 1" offset="949958" 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="109" name="Reshape_69820" 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="110" name="/stages/stages.0/stages.0.0/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.0/stages.0.0/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="111" name="/stages/stages.0/stages.0.0/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="112" name="stages.0.0.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 128, 1, 1" offset="950214" size="65536" />
<output>
<port id="0" precision="FP16" names="stages.0.0.attn_last.fc2.weight">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="113" name="stages.0.0.attn_last.fc2.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>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="114" name="/stages/stages.0/stages.0.0/attn_last/fc2/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>1</dim>
<dim>1</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>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="115" name="Reshape_69836_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="1015750" 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="116" name="Reshape_69836" 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="117" name="/stages/stages.0/stages.0.0/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.0/stages.0.0/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="118" name="/stages/stages.0/stages.0.0/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.0/stages.0.0/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="119" name="/stages/stages.0/stages.0.0/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/attn_last/Mul_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="120" name="Constant_96140" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="1016262" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="121" name="/stages/stages.0/stages.0.0/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.0/stages.0.0/Mul_3_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="122" name="/stages/stages.0/stages.0.0/downsample/conv/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 128, 1, 1" offset="1016266" size="65536" />
<output>
<port id="0" precision="FP16" names="/stages/stages.0/stages.0.0/downsample/conv/Mul_2_output_0">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="123" name="/stages/stages.0/stages.0.0/downsample/conv/Mul_2" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="124" name="/stages/stages.0/stages.0.0/downsample/conv/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>64</dim>
<dim>64</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>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="125" name="Reshape_69645_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="1081802" 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="126" name="Reshape_69645" 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="127" name="/stages/stages.0/stages.0.0/downsample/conv/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.0/stages.0.0/downsample/conv/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="128" name="/stages/stages.0/stages.0.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</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="/stages/stages.0/stages.0.0/Add_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="129" name="/stages/stages.1/stages.1.0/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/act1/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="130" name="Constant_96141" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="1082314" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="131" name="/stages/stages.1/stages.1.0/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.0/Mul_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="132" name="/stages/stages.1/stages.1.0/conv1/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 256, 1, 1" offset="1082318" size="131072" />
<output>
<port id="0" precision="FP16" names="/stages/stages.1/stages.1.0/conv1/Mul_2_output_0">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="133" name="/stages/stages.1/stages.1.0/conv1/Mul_2" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="134" name="/stages/stages.1/stages.1.0/conv1/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>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="135" name="Reshape_69922_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="1213390" 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="136" name="Reshape_69922" 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="137" name="/stages/stages.1/stages.1.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</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="/stages/stages.1/stages.1.0/conv1/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="138" name="/stages/stages.1/stages.1.0/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/act2/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="139" name="Constant_96142" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="140" name="/stages/stages.1/stages.1.0/act2/Mul_2" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.0/act2/Mul_2_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</output>
</layer>
<layer id="141" name="/stages/stages.1/stages.1.0/conv2/Constant_3" type="Const" version="opset1">
<data element_type="i64" shape="" offset="1213902" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_3_output_0" />
</output>
</layer>
<layer id="142" name="ShapeOf_97585" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="143" name="Constant_97586" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47180" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="144" name="Constant_97587" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="145" name="Gather_97588" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Gather_1_output_0" />
</output>
</layer>
<layer id="146" name="/stages/stages.1/stages.1.0/conv2/Sub_1" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Sub_1_output_0" />
</output>
</layer>
<layer id="147" name="/stages/stages.1/stages.1.0/conv2/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_4_output_0" />
</output>
</layer>
<layer id="148" name="/stages/stages.1/stages.1.0/conv2/Div" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Cast_1_output_0,/stages/stages.1/stages.1.0/conv2/Cast_output_0,/stages/stages.1/stages.1.0/conv2/Div_output_0" />
</output>
</layer>
<layer id="149" name="Constant_69965" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="150" name="/stages/stages.1/stages.1.0/conv2/Unsqueeze_4" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Unsqueeze_4_output_0,/stages/stages.1/stages.1.0/conv2/Unsqueeze_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="151" name="/stages/stages.1/stages.1.0/conv2/Sub_2" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Sub_2_output_0" />
</output>
</layer>
<layer id="152" name="Constant_69967" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="153" name="/stages/stages.1/stages.1.0/conv2/Unsqueeze_5" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Unsqueeze_1_output_0,/stages/stages.1/stages.1.0/conv2/Unsqueeze_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="154" name="/stages/stages.1/stages.1.0/conv2/Constant_2" type="Const" version="opset1">
<data element_type="i64" shape="" offset="1213902" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_2_output_0" />
</output>
</layer>
<layer id="155" name="Constant_97590" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="156" name="Constant_97591" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="157" name="Gather_97592" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Gather_output_0" />
</output>
</layer>
<layer id="158" name="/stages/stages.1/stages.1.0/conv2/Sub" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Sub_output_0" />
</output>
</layer>
<layer id="159" name="/stages/stages.1/stages.1.0/conv2/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_5_output_0" />
</output>
</layer>
<layer id="160" name="/stages/stages.1/stages.1.0/conv2/Div_1" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Cast_2_output_0,/stages/stages.1/stages.1.0/conv2/Cast_3_output_0,/stages/stages.1/stages.1.0/conv2/Div_1_output_0" />
</output>
</layer>
<layer id="161" name="Constant_69969" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="162" name="/stages/stages.1/stages.1.0/conv2/Unsqueeze_6" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Unsqueeze_2_output_0,/stages/stages.1/stages.1.0/conv2/Unsqueeze_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="163" name="/stages/stages.1/stages.1.0/conv2/Sub_3" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Sub_3_output_0" />
</output>
</layer>
<layer id="164" name="Constant_69971" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="165" name="/stages/stages.1/stages.1.0/conv2/Unsqueeze_7" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Unsqueeze_3_output_0,/stages/stages.1/stages.1.0/conv2/Unsqueeze_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="166" name="/stages/stages.1/stages.1.0/conv2/ConstantOfShape" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="47204" size="32" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/ConstantOfShape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="167" name="/stages/stages.1/stages.1.0/conv2/Concat_2" 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>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Concat_2_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="168" name="/stages/stages.1/stages.1.0/conv2/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47236" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_8_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="169" name="/stages/stages.1/stages.1.0/conv2/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Reshape_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="170" name="/stages/stages.1/stages.1.0/conv2/Constant_10" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_10_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="171" name="/stages/stages.1/stages.1.0/conv2/Constant_11" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47260" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_11_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="172" name="/stages/stages.1/stages.1.0/conv2/Constant_12" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_12_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="173" name="/stages/stages.1/stages.1.0/conv2/Constant_9" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Constant_9_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="174" name="/stages/stages.1/stages.1.0/conv2/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</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="/stages/stages.1/stages.1.0/conv2/Slice_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="175" name="Constant_69994" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47268" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="176" name="/stages/stages.1/stages.1.0/conv2/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Transpose_output_0">
<dim>2</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="177" name="Constant_84079" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="178" name="/stages/stages.1/stages.1.0/conv2/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.1/stages.1.0/conv2/Cast_5_output_0,/stages/stages.1/stages.1.0/conv2/Reshape_1_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="179" name="Constant_70000" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="180" name="Split_70001" type="Split" version="opset1">
<data num_splits="2" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="181" name="/stages/stages.1/stages.1.0/conv2/Constant_14_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="47284" size="2" />
<output>
<port id="0" precision="FP16" names="/stages/stages.1/stages.1.0/conv2/Constant_14_output_0" />
</output>
</layer>
<layer id="182" name="/stages/stages.1/stages.1.0/conv2/Constant_14" 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="183" name="/stages/stages.1/stages.1.0/conv2/Pad" type="Pad" version="opset12">
<data pad_mode="constant" />
<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="/stages/stages.1/stages.1.0/conv2/Pad_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>65</dim>
<dim>65</dim>
</port>
</output>
</layer>
<layer id="184" name="Reshape_70129_compressed" type="Const" version="opset1">
<data element_type="f16" shape="2, 128, 128, 3, 3" offset="1213910" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="185" name="Reshape_70129" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="186" name="/stages/stages.1/stages.1.0/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>65</dim>
<dim>65</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="187" name="Reshape_70179_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="1803734" 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="188" name="Reshape_70179" 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="189" name="/stages/stages.1/stages.1.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.0/conv2/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="190" name="/stages/stages.1/stages.1.0/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="191" name="Constant_80613_compressed" type="Const" version="opset1">
<data element_type="f16" shape="2, 128, 128, 3, 3" offset="1804246" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="192" name="Constant_80613" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="193" name="/stages/stages.1/stages.1.0/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="194" name="Reshape_70267_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="2394070" 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="195" name="Reshape_70267" 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="196" name="/stages/stages.1/stages.1.0/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.0/conv2b/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="197" name="/stages/stages.1/stages.1.0/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/act3/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="198" name="Constant_80655_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 1, 1" offset="2394582" size="262144" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="199" name="Constant_80655" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="200" name="/stages/stages.1/stages.1.0/conv3/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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="201" name="Reshape_70309_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="2656726" 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="202" name="Reshape_70309" 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="203" name="/stages/stages.1/stages.1.0/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.0/conv3/Conv_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="204" name="Constant_70311" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="205" name="/stages/stages.1/stages.1.0/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<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>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.0/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="206" name="stages.1.0.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 512, 1, 1" offset="2657750" size="262144" />
<output>
<port id="0" precision="FP16" names="stages.1.0.attn_last.fc1.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="207" name="stages.1.0.attn_last.fc1.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>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="208" name="/stages/stages.1/stages.1.0/attn_last/fc1/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>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="209" name="Reshape_70326_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="2919894" 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="210" name="Reshape_70326" 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="211" name="/stages/stages.1/stages.1.0/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.1/stages.1.0/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="212" name="/stages/stages.1/stages.1.0/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="213" name="stages.1.0.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 1, 1" offset="2920406" size="262144" />
<output>
<port id="0" precision="FP16" names="stages.1.0.attn_last.fc2.weight">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="214" name="stages.1.0.attn_last.fc2.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>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="215" name="/stages/stages.1/stages.1.0/attn_last/fc2/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>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="216" name="Reshape_70342_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="3182550" 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="217" name="Reshape_70342" 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="218" name="/stages/stages.1/stages.1.0/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.1/stages.1.0/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="219" name="/stages/stages.1/stages.1.0/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="220" name="/stages/stages.1/stages.1.0/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.0/attn_last/Mul_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="221" name="Constant_96143_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1, 1, 1" offset="3183574" size="2" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="222" name="Constant_96143" 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>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="223" name="/stages/stages.1/stages.1.0/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.0/Mul_3_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="224" name="/stages/stages.1/stages.1.0/downsample/pool/AveragePool" type="AvgPool" version="opset1">
<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>64</dim>
<dim>64</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.0/downsample/pool/AveragePool_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="225" name="/stages/stages.1/stages.1.0/downsample/conv/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 1, 1" offset="3183576" size="262144" />
<output>
<port id="0" precision="FP16" names="/stages/stages.1/stages.1.0/downsample/conv/Mul_2_output_0">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="226" name="/stages/stages.1/stages.1.0/downsample/conv/Mul_2" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="227" name="/stages/stages.1/stages.1.0/downsample/conv/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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="228" name="Reshape_69890_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="3445720" 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="229" name="Reshape_69890" 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="230" name="/stages/stages.1/stages.1.0/downsample/conv/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.0/downsample/conv/Conv_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="231" name="/stages/stages.1/stages.1.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.0/Add_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="232" name="/stages/stages.1/stages.1.1/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/act1/Mul_1_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="233" name="Constant_96022_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 512, 1, 1" offset="3446744" size="262144" />
<output>
<port id="0" precision="FP16">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="234" name="Constant_96022" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="235" name="/stages/stages.1/stages.1.1/conv1/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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="236" name="Reshape_70395_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="3708888" 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="237" name="Reshape_70395" 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="238" name="/stages/stages.1/stages.1.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.1/conv1/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="239" name="/stages/stages.1/stages.1.1/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/act2/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="240" name="Constant_80777_compressed" type="Const" version="opset1">
<data element_type="f16" shape="2, 128, 128, 3, 3" offset="3709400" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="241" name="Constant_80777" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="242" name="/stages/stages.1/stages.1.1/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="243" name="Reshape_70483_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="4299224" 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="244" name="Reshape_70483" 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="245" name="/stages/stages.1/stages.1.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.1/conv2/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="246" name="/stages/stages.1/stages.1.1/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="247" name="Constant_80857_compressed" type="Const" version="opset1">
<data element_type="f16" shape="2, 128, 128, 3, 3" offset="4299736" size="589824" />
<output>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="248" name="Constant_80857" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="249" name="/stages/stages.1/stages.1.1/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>128</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>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="250" name="Reshape_70571_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="4889560" 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="251" name="Reshape_70571" 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="252" name="/stages/stages.1/stages.1.1/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.1/conv2b/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="253" name="/stages/stages.1/stages.1.1/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/act3/Mul_1_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="254" name="Constant_80899_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 1, 1" offset="4890072" size="262144" />
<output>
<port id="0" precision="FP16">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="255" name="Constant_80899" 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>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="256" name="/stages/stages.1/stages.1.1/conv3/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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="257" name="Reshape_70613_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="5152216" 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="258" name="Reshape_70613" 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="259" name="/stages/stages.1/stages.1.1/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.1/conv3/Conv_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="260" name="Constant_70615" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="261" name="/stages/stages.1/stages.1.1/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<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>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.1/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="262" name="stages.1.1.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="256, 512, 1, 1" offset="5153240" size="262144" />
<output>
<port id="0" precision="FP16" names="stages.1.1.attn_last.fc1.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="263" name="stages.1.1.attn_last.fc1.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>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="264" name="/stages/stages.1/stages.1.1/attn_last/fc1/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>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="265" name="Reshape_70630_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 256, 1, 1" offset="5415384" 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="266" name="Reshape_70630" 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="267" name="/stages/stages.1/stages.1.1/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.1/stages.1.1/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="268" name="/stages/stages.1/stages.1.1/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="269" name="stages.1.1.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="512, 256, 1, 1" offset="5415896" size="262144" />
<output>
<port id="0" precision="FP16" names="stages.1.1.attn_last.fc2.weight">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="270" name="stages.1.1.attn_last.fc2.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>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="271" name="/stages/stages.1/stages.1.1/attn_last/fc2/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>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>512</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="272" name="Reshape_70646_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 512, 1, 1" offset="5678040" 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="273" name="Reshape_70646" 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="274" name="/stages/stages.1/stages.1.1/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</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="/stages/stages.1/stages.1.1/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="275" name="/stages/stages.1/stages.1.1/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.1/stages.1.1/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="276" name="/stages/stages.1/stages.1.1/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</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="/stages/stages.1/stages.1.1/attn_last/Mul_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="277" name="Constant_96144" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="5679064" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="278" name="/stages/stages.1/stages.1.1/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.1/Mul_3_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="279" name="/stages/stages.1/stages.1.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.1/stages.1.1/Add_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="280" name="/stages/stages.2/stages.2.0/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/act1/Mul_1_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="281" name="Constant_96145" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="5679068" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="282" name="/stages/stages.2/stages.2.0/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/Mul_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="283" name="/stages/stages.2/stages.2.0/conv1/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 512, 1, 1" offset="5679072" size="786432" />
<output>
<port id="0" precision="FP16" names="/stages/stages.2/stages.2.0/conv1/Mul_2_output_0">
<dim>768</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="284" name="/stages/stages.2/stages.2.0/conv1/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="285" name="/stages/stages.2/stages.2.0/conv1/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>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="286" name="Reshape_70732_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="6465504" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="287" name="Reshape_70732" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="288" name="/stages/stages.2/stages.2.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="289" name="/stages/stages.2/stages.2.0/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="290" name="Constant_96146" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="291" name="/stages/stages.2/stages.2.0/act2/Mul_2" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/act2/Mul_2_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</output>
</layer>
<layer id="292" name="/stages/stages.2/stages.2.0/conv2/Constant_3" type="Const" version="opset1">
<data element_type="i64" shape="" offset="6467040" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_3_output_0" />
</output>
</layer>
<layer id="293" name="ShapeOf_97595" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="294" name="Constant_97596" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47180" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="295" name="Constant_97597" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="296" name="Gather_97598" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Gather_1_output_0" />
</output>
</layer>
<layer id="297" name="/stages/stages.2/stages.2.0/conv2/Sub_1" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Sub_1_output_0" />
</output>
</layer>
<layer id="298" name="/stages/stages.2/stages.2.0/conv2/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_4_output_0" />
</output>
</layer>
<layer id="299" name="/stages/stages.2/stages.2.0/conv2/Div" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Cast_1_output_0,/stages/stages.2/stages.2.0/conv2/Cast_output_0,/stages/stages.2/stages.2.0/conv2/Div_output_0" />
</output>
</layer>
<layer id="300" name="Constant_70775" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="301" name="/stages/stages.2/stages.2.0/conv2/Unsqueeze_4" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Unsqueeze_4_output_0,/stages/stages.2/stages.2.0/conv2/Unsqueeze_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="302" name="/stages/stages.2/stages.2.0/conv2/Sub_2" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Sub_2_output_0" />
</output>
</layer>
<layer id="303" name="Constant_70777" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="304" name="/stages/stages.2/stages.2.0/conv2/Unsqueeze_5" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Unsqueeze_1_output_0,/stages/stages.2/stages.2.0/conv2/Unsqueeze_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="305" name="/stages/stages.2/stages.2.0/conv2/Constant_2" type="Const" version="opset1">
<data element_type="i64" shape="" offset="6467040" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_2_output_0" />
</output>
</layer>
<layer id="306" name="Constant_97600" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="307" name="Constant_97601" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="308" name="Gather_97602" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Gather_output_0" />
</output>
</layer>
<layer id="309" name="/stages/stages.2/stages.2.0/conv2/Sub" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Sub_output_0" />
</output>
</layer>
<layer id="310" name="/stages/stages.2/stages.2.0/conv2/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_5_output_0" />
</output>
</layer>
<layer id="311" name="/stages/stages.2/stages.2.0/conv2/Div_1" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Cast_2_output_0,/stages/stages.2/stages.2.0/conv2/Cast_3_output_0,/stages/stages.2/stages.2.0/conv2/Div_1_output_0" />
</output>
</layer>
<layer id="312" name="Constant_70779" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="313" name="/stages/stages.2/stages.2.0/conv2/Unsqueeze_6" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Unsqueeze_2_output_0,/stages/stages.2/stages.2.0/conv2/Unsqueeze_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="314" name="/stages/stages.2/stages.2.0/conv2/Sub_3" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Sub_3_output_0" />
</output>
</layer>
<layer id="315" name="Constant_70781" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="316" name="/stages/stages.2/stages.2.0/conv2/Unsqueeze_7" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Unsqueeze_3_output_0,/stages/stages.2/stages.2.0/conv2/Unsqueeze_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="317" name="/stages/stages.2/stages.2.0/conv2/ConstantOfShape" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="47204" size="32" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/ConstantOfShape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="318" name="/stages/stages.2/stages.2.0/conv2/Concat_2" 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>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Concat_2_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="319" name="/stages/stages.2/stages.2.0/conv2/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47236" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_8_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="320" name="/stages/stages.2/stages.2.0/conv2/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Reshape_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="321" name="/stages/stages.2/stages.2.0/conv2/Constant_10" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_10_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="322" name="/stages/stages.2/stages.2.0/conv2/Constant_11" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47260" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_11_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="323" name="/stages/stages.2/stages.2.0/conv2/Constant_12" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_12_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="324" name="/stages/stages.2/stages.2.0/conv2/Constant_9" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Constant_9_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="325" name="/stages/stages.2/stages.2.0/conv2/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</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="/stages/stages.2/stages.2.0/conv2/Slice_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="326" name="Constant_70804" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47268" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="327" name="/stages/stages.2/stages.2.0/conv2/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Transpose_output_0">
<dim>2</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="328" name="Constant_84080" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="329" name="/stages/stages.2/stages.2.0/conv2/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.2/stages.2.0/conv2/Cast_5_output_0,/stages/stages.2/stages.2.0/conv2/Reshape_1_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="330" name="Constant_70810" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="331" name="Split_70811" type="Split" version="opset1">
<data num_splits="2" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="332" name="/stages/stages.2/stages.2.0/conv2/Constant_14_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="47284" size="2" />
<output>
<port id="0" precision="FP16" names="/stages/stages.2/stages.2.0/conv2/Constant_14_output_0" />
</output>
</layer>
<layer id="333" name="/stages/stages.2/stages.2.0/conv2/Constant_14" 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="334" name="/stages/stages.2/stages.2.0/conv2/Pad" type="Pad" version="opset12">
<data pad_mode="constant" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</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="/stages/stages.2/stages.2.0/conv2/Pad_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>33</dim>
<dim>33</dim>
</port>
</output>
</layer>
<layer id="335" name="Reshape_70939_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="6467048" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="336" name="Reshape_70939" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="337" name="/stages/stages.2/stages.2.0/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>33</dim>
<dim>33</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="338" name="Reshape_70989_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="8236520" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="339" name="Reshape_70989" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="340" name="/stages/stages.2/stages.2.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="341" name="/stages/stages.2/stages.2.0/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="342" name="Constant_80981_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="8238056" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="343" name="Constant_80981" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="344" name="/stages/stages.2/stages.2.0/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="345" name="Reshape_71077_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="10007528" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="346" name="Reshape_71077" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="347" name="/stages/stages.2/stages.2.0/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="348" name="/stages/stages.2/stages.2.0/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="349" name="Constant_81023_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="10009064" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="350" name="Constant_81023" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="351" name="/stages/stages.2/stages.2.0/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="352" name="Reshape_71119_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="12368360" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="353" name="Reshape_71119" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="354" name="/stages/stages.2/stages.2.0/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="355" name="Constant_71121" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="356" name="/stages/stages.2/stages.2.0/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="357" name="stages.2.0.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="12371432" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.0.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="358" name="stages.2.0.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="359" name="/stages/stages.2/stages.2.0/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="360" name="Reshape_71136_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="14730728" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="361" name="Reshape_71136" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="362" name="/stages/stages.2/stages.2.0/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="363" name="/stages/stages.2/stages.2.0/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="364" name="stages.2.0.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="14732264" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.0.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="365" name="stages.2.0.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="366" name="/stages/stages.2/stages.2.0/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="367" name="Reshape_71152_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="17091560" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="368" name="Reshape_71152" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="369" name="/stages/stages.2/stages.2.0/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="370" name="/stages/stages.2/stages.2.0/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="371" name="/stages/stages.2/stages.2.0/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="372" name="Constant_96147_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1, 1, 1" offset="17094632" size="2" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="373" name="Constant_96147" 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>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="374" name="/stages/stages.2/stages.2.0/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="375" name="/stages/stages.2/stages.2.0/downsample/pool/AveragePool" type="AvgPool" version="opset1">
<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>32</dim>
<dim>32</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.0/downsample/pool/AveragePool_output_0">
<dim>1</dim>
<dim>512</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="376" name="/stages/stages.2/stages.2.0/downsample/conv/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 512, 1, 1" offset="17094634" size="1572864" />
<output>
<port id="0" precision="FP16" names="/stages/stages.2/stages.2.0/downsample/conv/Mul_2_output_0">
<dim>1536</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="377" name="/stages/stages.2/stages.2.0/downsample/conv/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="378" name="/stages/stages.2/stages.2.0/downsample/conv/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>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="379" name="Reshape_70700_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="18667498" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="380" name="Reshape_70700" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="381" name="/stages/stages.2/stages.2.0/downsample/conv/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/downsample/conv/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="382" name="/stages/stages.2/stages.2.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.0/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="383" name="/stages/stages.2/stages.2.1/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="384" name="Constant_96025_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="18670570" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="385" name="Constant_96025" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="386" name="/stages/stages.2/stages.2.1/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="387" name="Reshape_71205_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="21029866" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="388" name="Reshape_71205" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="389" name="/stages/stages.2/stages.2.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="390" name="/stages/stages.2/stages.2.1/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="391" name="Constant_81145_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="21031402" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="392" name="Constant_81145" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="393" name="/stages/stages.2/stages.2.1/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="394" name="Reshape_71293_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="22800874" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="395" name="Reshape_71293" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="396" name="/stages/stages.2/stages.2.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="397" name="/stages/stages.2/stages.2.1/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="398" name="Constant_81225_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="22802410" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="399" name="Constant_81225" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="400" name="/stages/stages.2/stages.2.1/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="401" name="Reshape_71381_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="24571882" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="402" name="Reshape_71381" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="403" name="/stages/stages.2/stages.2.1/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="404" name="/stages/stages.2/stages.2.1/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="405" name="Constant_81267_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="24573418" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="406" name="Constant_81267" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="407" name="/stages/stages.2/stages.2.1/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="408" name="Reshape_71423_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="26932714" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="409" name="Reshape_71423" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="410" name="/stages/stages.2/stages.2.1/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="411" name="Constant_71425" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="412" name="/stages/stages.2/stages.2.1/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="413" name="stages.2.1.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="26935786" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.1.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="414" name="stages.2.1.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="415" name="/stages/stages.2/stages.2.1/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="416" name="Reshape_71440_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="29295082" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="417" name="Reshape_71440" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="418" name="/stages/stages.2/stages.2.1/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="419" name="/stages/stages.2/stages.2.1/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="420" name="stages.2.1.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="29296618" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.1.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="421" name="stages.2.1.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="422" name="/stages/stages.2/stages.2.1/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="423" name="Reshape_71456_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="31655914" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="424" name="Reshape_71456" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="425" name="/stages/stages.2/stages.2.1/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="426" name="/stages/stages.2/stages.2.1/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="427" name="/stages/stages.2/stages.2.1/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="428" name="Constant_96148" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="31658986" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="429" name="/stages/stages.2/stages.2.1/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="430" name="/stages/stages.2/stages.2.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.1/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="431" name="/stages/stages.2/stages.2.2/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="432" name="Constant_96028_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="31658990" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="433" name="Constant_96028" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="434" name="/stages/stages.2/stages.2.2/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="435" name="Reshape_71509_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="34018286" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="436" name="Reshape_71509" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="437" name="/stages/stages.2/stages.2.2/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="438" name="/stages/stages.2/stages.2.2/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="439" name="Constant_81389_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="34019822" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="440" name="Constant_81389" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="441" name="/stages/stages.2/stages.2.2/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="442" name="Reshape_71597_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="35789294" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="443" name="Reshape_71597" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="444" name="/stages/stages.2/stages.2.2/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="445" name="/stages/stages.2/stages.2.2/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="446" name="Constant_81469_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="35790830" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="447" name="Constant_81469" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="448" name="/stages/stages.2/stages.2.2/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="449" name="Reshape_71685_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="37560302" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="450" name="Reshape_71685" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="451" name="/stages/stages.2/stages.2.2/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="452" name="/stages/stages.2/stages.2.2/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="453" name="Constant_81511_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="37561838" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="454" name="Constant_81511" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="455" name="/stages/stages.2/stages.2.2/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="456" name="Reshape_71727_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="39921134" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="457" name="Reshape_71727" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="458" name="/stages/stages.2/stages.2.2/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="459" name="Constant_71729" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="460" name="/stages/stages.2/stages.2.2/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="461" name="stages.2.2.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="39924206" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.2.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="462" name="stages.2.2.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="463" name="/stages/stages.2/stages.2.2/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="464" name="Reshape_71744_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="42283502" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="465" name="Reshape_71744" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="466" name="/stages/stages.2/stages.2.2/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="467" name="/stages/stages.2/stages.2.2/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="468" name="stages.2.2.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="42285038" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.2.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="469" name="stages.2.2.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="470" name="/stages/stages.2/stages.2.2/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="471" name="Reshape_71760_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="44644334" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="472" name="Reshape_71760" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="473" name="/stages/stages.2/stages.2.2/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="474" name="/stages/stages.2/stages.2.2/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="475" name="/stages/stages.2/stages.2.2/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="476" name="Constant_96149_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1, 1, 1" offset="44647406" size="2" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="477" name="Constant_96149" 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>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="478" name="/stages/stages.2/stages.2.2/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="479" name="/stages/stages.2/stages.2.2/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.2/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="480" name="/stages/stages.2/stages.2.3/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="481" name="Constant_96031_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="44647408" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="482" name="Constant_96031" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="483" name="/stages/stages.2/stages.2.3/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="484" name="Reshape_71813_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="47006704" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="485" name="Reshape_71813" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="486" name="/stages/stages.2/stages.2.3/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="487" name="/stages/stages.2/stages.2.3/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="488" name="Constant_81633_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="47008240" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="489" name="Constant_81633" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="490" name="/stages/stages.2/stages.2.3/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="491" name="Reshape_71901_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="48777712" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="492" name="Reshape_71901" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="493" name="/stages/stages.2/stages.2.3/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="494" name="/stages/stages.2/stages.2.3/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="495" name="Constant_81713_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="48779248" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="496" name="Constant_81713" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="497" name="/stages/stages.2/stages.2.3/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="498" name="Reshape_71989_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="50548720" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="499" name="Reshape_71989" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="500" name="/stages/stages.2/stages.2.3/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="501" name="/stages/stages.2/stages.2.3/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="502" name="Constant_81755_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="50550256" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="503" name="Constant_81755" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="504" name="/stages/stages.2/stages.2.3/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="505" name="Reshape_72031_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="52909552" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="506" name="Reshape_72031" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="507" name="/stages/stages.2/stages.2.3/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="508" name="Constant_72033" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="509" name="/stages/stages.2/stages.2.3/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="510" name="stages.2.3.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="52912624" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.3.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="511" name="stages.2.3.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="512" name="/stages/stages.2/stages.2.3/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="513" name="Reshape_72048_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="55271920" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="514" name="Reshape_72048" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="515" name="/stages/stages.2/stages.2.3/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="516" name="/stages/stages.2/stages.2.3/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="517" name="stages.2.3.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="55273456" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.3.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="518" name="stages.2.3.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="519" name="/stages/stages.2/stages.2.3/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="520" name="Reshape_72064_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="57632752" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="521" name="Reshape_72064" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="522" name="/stages/stages.2/stages.2.3/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="523" name="/stages/stages.2/stages.2.3/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="524" name="/stages/stages.2/stages.2.3/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="525" name="Constant_96150" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="57635824" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="526" name="/stages/stages.2/stages.2.3/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="527" name="/stages/stages.2/stages.2.3/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.3/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="528" name="/stages/stages.2/stages.2.4/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="529" name="Constant_96034_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="57635828" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="530" name="Constant_96034" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="531" name="/stages/stages.2/stages.2.4/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="532" name="Reshape_72117_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="59995124" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="533" name="Reshape_72117" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="534" name="/stages/stages.2/stages.2.4/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="535" name="/stages/stages.2/stages.2.4/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="536" name="Constant_81877_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="59996660" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="537" name="Constant_81877" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="538" name="/stages/stages.2/stages.2.4/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="539" name="Reshape_72205_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="61766132" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="540" name="Reshape_72205" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="541" name="/stages/stages.2/stages.2.4/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="542" name="/stages/stages.2/stages.2.4/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="543" name="Constant_81957_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="61767668" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="544" name="Constant_81957" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="545" name="/stages/stages.2/stages.2.4/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="546" name="Reshape_72293_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="63537140" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="547" name="Reshape_72293" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="548" name="/stages/stages.2/stages.2.4/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="549" name="/stages/stages.2/stages.2.4/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="550" name="Constant_81999_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="63538676" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="551" name="Constant_81999" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="552" name="/stages/stages.2/stages.2.4/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="553" name="Reshape_72335_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="65897972" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="554" name="Reshape_72335" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="555" name="/stages/stages.2/stages.2.4/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="556" name="Constant_72337" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="557" name="/stages/stages.2/stages.2.4/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="558" name="stages.2.4.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="65901044" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.4.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="559" name="stages.2.4.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="560" name="/stages/stages.2/stages.2.4/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="561" name="Reshape_72352_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="68260340" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="562" name="Reshape_72352" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="563" name="/stages/stages.2/stages.2.4/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="564" name="/stages/stages.2/stages.2.4/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="565" name="stages.2.4.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="68261876" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.4.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="566" name="stages.2.4.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="567" name="/stages/stages.2/stages.2.4/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="568" name="Reshape_72368_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="70621172" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="569" name="Reshape_72368" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="570" name="/stages/stages.2/stages.2.4/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="571" name="/stages/stages.2/stages.2.4/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="572" name="/stages/stages.2/stages.2.4/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="573" name="Constant_96151_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1, 1, 1" offset="70624244" size="2" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="574" name="Constant_96151" 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>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="575" name="/stages/stages.2/stages.2.4/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="576" name="/stages/stages.2/stages.2.4/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.4/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="577" name="/stages/stages.2/stages.2.5/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="578" name="Constant_96037_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="70624246" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="579" name="Constant_96037" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="580" name="/stages/stages.2/stages.2.5/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="581" name="Reshape_72421_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="72983542" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="582" name="Reshape_72421" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="583" name="/stages/stages.2/stages.2.5/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="584" name="/stages/stages.2/stages.2.5/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="585" name="Constant_82121_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="72985078" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="586" name="Constant_82121" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="587" name="/stages/stages.2/stages.2.5/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="588" name="Reshape_72509_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="74754550" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="589" name="Reshape_72509" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="590" name="/stages/stages.2/stages.2.5/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="591" name="/stages/stages.2/stages.2.5/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="592" name="Constant_82201_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="74756086" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="593" name="Constant_82201" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="594" name="/stages/stages.2/stages.2.5/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="595" name="Reshape_72597_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="76525558" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="596" name="Reshape_72597" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="597" name="/stages/stages.2/stages.2.5/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="598" name="/stages/stages.2/stages.2.5/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="599" name="Constant_82243_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="76527094" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="600" name="Constant_82243" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="601" name="/stages/stages.2/stages.2.5/conv3/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>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="602" name="Reshape_72639_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="78886390" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="603" name="Reshape_72639" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="604" name="/stages/stages.2/stages.2.5/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="605" name="Constant_72641" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="606" name="/stages/stages.2/stages.2.5/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="607" name="stages.2.5.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="78889462" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.5.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="608" name="stages.2.5.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="609" name="/stages/stages.2/stages.2.5/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="610" name="Reshape_72656_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="81248758" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="611" name="Reshape_72656" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="612" name="/stages/stages.2/stages.2.5/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="613" name="/stages/stages.2/stages.2.5/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="614" name="stages.2.5.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="81250294" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.2.5.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="615" name="stages.2.5.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="616" name="/stages/stages.2/stages.2.5/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="617" name="Reshape_72672_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="83609590" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="618" name="Reshape_72672" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="619" name="/stages/stages.2/stages.2.5/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="620" name="/stages/stages.2/stages.2.5/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="621" name="/stages/stages.2/stages.2.5/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="622" name="Constant_96152" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="83612662" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="623" name="/stages/stages.2/stages.2.5/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="624" name="/stages/stages.2/stages.2.5/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.2/stages.2.5/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="625" name="/stages/stages.3/stages.3.0/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="626" name="Constant_96153" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="83612666" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="627" name="/stages/stages.3/stages.3.0/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="628" name="/stages/stages.3/stages.3.0/conv1/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="83612670" size="2359296" />
<output>
<port id="0" precision="FP16" names="/stages/stages.3/stages.3.0/conv1/Mul_2_output_0">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="629" name="/stages/stages.3/stages.3.0/conv1/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="630" name="/stages/stages.3/stages.3.0/conv1/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>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="631" name="Reshape_72758_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="85971966" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="632" name="Reshape_72758" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="633" name="/stages/stages.3/stages.3.0/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="634" name="/stages/stages.3/stages.3.0/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="635" name="Constant_96154" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="636" name="/stages/stages.3/stages.3.0/act2/Mul_2" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/act2/Mul_2_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</output>
</layer>
<layer id="637" name="/stages/stages.3/stages.3.0/conv2/Constant_3" type="Const" version="opset1">
<data element_type="i64" shape="" offset="85973502" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_3_output_0" />
</output>
</layer>
<layer id="638" name="ShapeOf_97605" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="639" name="Constant_97606" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47180" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="640" name="Constant_97607" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="641" name="Gather_97608" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Gather_1_output_0" />
</output>
</layer>
<layer id="642" name="/stages/stages.3/stages.3.0/conv2/Sub_1" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Sub_1_output_0" />
</output>
</layer>
<layer id="643" name="/stages/stages.3/stages.3.0/conv2/Constant_4" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_4_output_0" />
</output>
</layer>
<layer id="644" name="/stages/stages.3/stages.3.0/conv2/Div" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Cast_1_output_0,/stages/stages.3/stages.3.0/conv2/Cast_output_0,/stages/stages.3/stages.3.0/conv2/Div_output_0" />
</output>
</layer>
<layer id="645" name="Constant_72801" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="646" name="/stages/stages.3/stages.3.0/conv2/Unsqueeze_4" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Unsqueeze_4_output_0,/stages/stages.3/stages.3.0/conv2/Unsqueeze_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="647" name="/stages/stages.3/stages.3.0/conv2/Sub_2" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Sub_2_output_0" />
</output>
</layer>
<layer id="648" name="Constant_72803" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="649" name="/stages/stages.3/stages.3.0/conv2/Unsqueeze_5" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Unsqueeze_1_output_0,/stages/stages.3/stages.3.0/conv2/Unsqueeze_5_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="650" name="/stages/stages.3/stages.3.0/conv2/Constant_2" type="Const" version="opset1">
<data element_type="i64" shape="" offset="85973502" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_2_output_0" />
</output>
</layer>
<layer id="651" name="Constant_97610" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="652" name="Constant_97611" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="653" name="Gather_97612" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Gather_output_0" />
</output>
</layer>
<layer id="654" name="/stages/stages.3/stages.3.0/conv2/Sub" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Sub_output_0" />
</output>
</layer>
<layer id="655" name="/stages/stages.3/stages.3.0/conv2/Constant_5" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47196" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_5_output_0" />
</output>
</layer>
<layer id="656" name="/stages/stages.3/stages.3.0/conv2/Div_1" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Cast_2_output_0,/stages/stages.3/stages.3.0/conv2/Cast_3_output_0,/stages/stages.3/stages.3.0/conv2/Div_1_output_0" />
</output>
</layer>
<layer id="657" name="Constant_72805" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="658" name="/stages/stages.3/stages.3.0/conv2/Unsqueeze_6" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Unsqueeze_2_output_0,/stages/stages.3/stages.3.0/conv2/Unsqueeze_6_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="659" name="/stages/stages.3/stages.3.0/conv2/Sub_3" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Sub_3_output_0" />
</output>
</layer>
<layer id="660" name="Constant_72807" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="661" name="/stages/stages.3/stages.3.0/conv2/Unsqueeze_7" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Unsqueeze_3_output_0,/stages/stages.3/stages.3.0/conv2/Unsqueeze_7_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="662" name="/stages/stages.3/stages.3.0/conv2/ConstantOfShape" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="47204" size="32" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/ConstantOfShape_output_0">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="663" name="/stages/stages.3/stages.3.0/conv2/Concat_2" 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>1</dim>
</port>
<port id="3" precision="I64">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="5" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Concat_2_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="664" name="/stages/stages.3/stages.3.0/conv2/Constant_8" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47236" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_8_output_0">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="665" name="/stages/stages.3/stages.3.0/conv2/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Reshape_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="666" name="/stages/stages.3/stages.3.0/conv2/Constant_10" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_10_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="667" name="/stages/stages.3/stages.3.0/conv2/Constant_11" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47260" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_11_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="668" name="/stages/stages.3/stages.3.0/conv2/Constant_12" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_12_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="669" name="/stages/stages.3/stages.3.0/conv2/Constant_9" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Constant_9_output_0">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="670" name="/stages/stages.3/stages.3.0/conv2/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</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="/stages/stages.3/stages.3.0/conv2/Slice_output_0">
<dim>4</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="671" name="Constant_72830" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="47268" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="672" name="/stages/stages.3/stages.3.0/conv2/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="I64">
<dim>4</dim>
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Transpose_output_0">
<dim>2</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="673" name="Constant_84081" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="47252" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="674" name="/stages/stages.3/stages.3.0/conv2/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="/stages/stages.3/stages.3.0/conv2/Cast_5_output_0,/stages/stages.3/stages.3.0/conv2/Reshape_1_output_0">
<dim>8</dim>
</port>
</output>
</layer>
<layer id="675" name="Constant_72836" type="Const" version="opset1">
<data element_type="i64" shape="" offset="47188" size="8" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="676" name="Split_72837" type="Split" version="opset1">
<data num_splits="2" />
<input>
<port id="0" precision="I64">
<dim>8</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64">
<dim>4</dim>
</port>
<port id="3" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="677" name="/stages/stages.3/stages.3.0/conv2/Constant_14_compressed" type="Const" version="opset1">
<data element_type="f16" shape="" offset="47284" size="2" />
<output>
<port id="0" precision="FP16" names="/stages/stages.3/stages.3.0/conv2/Constant_14_output_0" />
</output>
</layer>
<layer id="678" name="/stages/stages.3/stages.3.0/conv2/Constant_14" 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="679" name="/stages/stages.3/stages.3.0/conv2/Pad" type="Pad" version="opset12">
<data pad_mode="constant" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>16</dim>
<dim>16</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="/stages/stages.3/stages.3.0/conv2/Pad_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>17</dim>
<dim>17</dim>
</port>
</output>
</layer>
<layer id="680" name="Reshape_72965_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="85973510" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="681" name="Reshape_72965" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="682" name="/stages/stages.3/stages.3.0/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>17</dim>
<dim>17</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="683" name="Reshape_73015_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="87742982" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="684" name="Reshape_73015" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="685" name="/stages/stages.3/stages.3.0/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="686" name="/stages/stages.3/stages.3.0/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="687" name="Constant_82325_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="87744518" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="688" name="Constant_82325" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="689" name="/stages/stages.3/stages.3.0/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="690" name="Reshape_73103_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="89513990" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="691" name="Reshape_73103" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="692" name="/stages/stages.3/stages.3.0/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="693" name="/stages/stages.3/stages.3.0/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="694" name="Constant_82367_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="89515526" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="695" name="Constant_82367" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="696" name="/stages/stages.3/stages.3.0/conv3/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>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="697" name="Reshape_73145_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="91874822" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="698" name="Reshape_73145" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="699" name="/stages/stages.3/stages.3.0/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="700" name="Constant_73147" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="701" name="/stages/stages.3/stages.3.0/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="702" name="stages.3.0.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="91877894" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.0.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="703" name="stages.3.0.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="704" name="/stages/stages.3/stages.3.0/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="705" name="Reshape_73162_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="94237190" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="706" name="Reshape_73162" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="707" name="/stages/stages.3/stages.3.0/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="708" name="/stages/stages.3/stages.3.0/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="709" name="stages.3.0.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="94238726" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.0.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="710" name="stages.3.0.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="711" name="/stages/stages.3/stages.3.0/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="712" name="Reshape_73178_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="96598022" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="713" name="Reshape_73178" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="714" name="/stages/stages.3/stages.3.0/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="715" name="/stages/stages.3/stages.3.0/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="716" name="/stages/stages.3/stages.3.0/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="717" name="Constant_96155" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="96601094" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="718" name="/stages/stages.3/stages.3.0/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="719" name="/stages/stages.3/stages.3.0/downsample/pool/AveragePool" type="AvgPool" version="opset1">
<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="explicit" rounding_type="ceil" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>16</dim>
<dim>16</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.0/downsample/pool/AveragePool_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="720" name="/stages/stages.3/stages.3.0/downsample/conv/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 1536, 1, 1" offset="96601098" size="4718592" />
<output>
<port id="0" precision="FP16" names="/stages/stages.3/stages.3.0/downsample/conv/Mul_2_output_0">
<dim>1536</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="721" name="/stages/stages.3/stages.3.0/downsample/conv/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="722" name="/stages/stages.3/stages.3.0/downsample/conv/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>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="723" name="Reshape_72726_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="101319690" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="724" name="Reshape_72726" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="725" name="/stages/stages.3/stages.3.0/downsample/conv/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/downsample/conv/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="726" name="/stages/stages.3/stages.3.0/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.0/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="727" name="/stages/stages.3/stages.3.1/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="728" name="Constant_96040_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="101322762" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="729" name="Constant_96040" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="730" name="/stages/stages.3/stages.3.1/conv1/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>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="731" name="Reshape_73231_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="103682058" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="732" name="Reshape_73231" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="733" name="/stages/stages.3/stages.3.1/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="734" name="/stages/stages.3/stages.3.1/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="735" name="Constant_82489_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="103683594" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="736" name="Constant_82489" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="737" name="/stages/stages.3/stages.3.1/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="738" name="Reshape_73319_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="105453066" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="739" name="Reshape_73319" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="740" name="/stages/stages.3/stages.3.1/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="741" name="/stages/stages.3/stages.3.1/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="742" name="Constant_82569_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="105454602" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="743" name="Constant_82569" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="744" name="/stages/stages.3/stages.3.1/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="745" name="Reshape_73407_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="107224074" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="746" name="Reshape_73407" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="747" name="/stages/stages.3/stages.3.1/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="748" name="/stages/stages.3/stages.3.1/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="749" name="Constant_82611_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="107225610" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="750" name="Constant_82611" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="751" name="/stages/stages.3/stages.3.1/conv3/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>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="752" name="Reshape_73449_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="109584906" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="753" name="Reshape_73449" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="754" name="/stages/stages.3/stages.3.1/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="755" name="Constant_73451" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="756" name="/stages/stages.3/stages.3.1/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="757" name="stages.3.1.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="109587978" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.1.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="758" name="stages.3.1.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="759" name="/stages/stages.3/stages.3.1/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="760" name="Reshape_73466_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="111947274" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="761" name="Reshape_73466" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="762" name="/stages/stages.3/stages.3.1/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="763" name="/stages/stages.3/stages.3.1/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="764" name="stages.3.1.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="111948810" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.1.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="765" name="stages.3.1.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="766" name="/stages/stages.3/stages.3.1/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="767" name="Reshape_73482_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="114308106" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="768" name="Reshape_73482" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="769" name="/stages/stages.3/stages.3.1/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="770" name="/stages/stages.3/stages.3.1/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="771" name="/stages/stages.3/stages.3.1/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="772" name="Constant_96156" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="114311178" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="773" name="/stages/stages.3/stages.3.1/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="774" name="/stages/stages.3/stages.3.1/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.1/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="775" name="/stages/stages.3/stages.3.2/act1/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/act1/Mul_1_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="776" name="Constant_96043_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="114311182" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="777" name="Constant_96043" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="778" name="/stages/stages.3/stages.3.2/conv1/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>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="779" name="Reshape_73535_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="116670478" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="780" name="Reshape_73535" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="781" name="/stages/stages.3/stages.3.2/conv1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/conv1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="782" name="/stages/stages.3/stages.3.2/act2/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/act2/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="783" name="Constant_82733_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="116672014" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="784" name="Constant_82733" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="785" name="/stages/stages.3/stages.3.2/conv2/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="786" name="Reshape_73623_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="118441486" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="787" name="Reshape_73623" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="788" name="/stages/stages.3/stages.3.2/conv2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/conv2/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="789" name="/stages/stages.3/stages.3.2/act2b/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/act2b/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="790" name="Constant_82813_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6, 128, 128, 3, 3" offset="118443022" size="1769472" />
<output>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="791" name="Constant_82813" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="792" name="/stages/stages.3/stages.3.2/conv2b/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>6</dim>
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="793" name="Reshape_73711_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="120212494" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="794" name="Reshape_73711" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="795" name="/stages/stages.3/stages.3.2/conv2b/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/conv2b/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="796" name="/stages/stages.3/stages.3.2/act3/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/act3/Mul_1_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="797" name="Constant_82855_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="120214030" size="2359296" />
<output>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="798" name="Constant_82855" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="799" name="/stages/stages.3/stages.3.2/conv3/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>768</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="800" name="Reshape_73753_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="122573326" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="801" name="Reshape_73753" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="802" name="/stages/stages.3/stages.3.2/conv3/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/conv3/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="803" name="Constant_73755" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="804" name="/stages/stages.3/stages.3.2/attn_last/ReduceMean" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/ReduceMean_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="805" name="stages.3.2.attn_last.fc1.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="768, 1536, 1, 1" offset="122576398" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.2.attn_last.fc1.weight">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="806" name="stages.3.2.attn_last.fc1.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>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="807" name="/stages/stages.3/stages.3.2/attn_last/fc1/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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>768</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="808" name="Reshape_73770_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 768, 1, 1" offset="124935694" size="1536" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="809" name="Reshape_73770" 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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="810" name="/stages/stages.3/stages.3.2/attn_last/fc1/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/fc1/Conv_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="811" name="/stages/stages.3/stages.3.2/attn_last/act/Relu" type="ReLU" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/act/Relu_output_0">
<dim>1</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="812" name="stages.3.2.attn_last.fc2.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1536, 768, 1, 1" offset="124937230" size="2359296" />
<output>
<port id="0" precision="FP16" names="stages.3.2.attn_last.fc2.weight">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="813" name="stages.3.2.attn_last.fc2.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>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="814" name="/stages/stages.3/stages.3.2/attn_last/fc2/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>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1536</dim>
<dim>768</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="815" name="Reshape_73786_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1536, 1, 1" offset="127296526" size="3072" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="816" name="Reshape_73786" 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>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="817" name="/stages/stages.3/stages.3.2/attn_last/fc2/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/fc2/Conv_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="818" name="/stages/stages.3/stages.3.2/attn_last/gate/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/gate/Sigmoid_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="819" name="/stages/stages.3/stages.3.2/attn_last/Mul" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/attn_last/Mul_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="820" name="Constant_96157" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="127299598" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="821" name="/stages/stages.3/stages.3.2/Mul_3" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/Mul_3_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="822" name="/stages/stages.3/stages.3.2/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/stages/stages.3/stages.3.2/Add_output_0">
<dim>1</dim>
<dim>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="823" name="/final_conv/Mul_2_compressed" type="Const" version="opset1">
<data element_type="f16" shape="3072, 1536, 1, 1" offset="127299602" size="9437184" />
<output>
<port id="0" precision="FP16" names="/final_conv/Mul_2_output_0">
<dim>3072</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="824" name="/final_conv/Mul_2" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>3072</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>3072</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="825" name="/final_conv/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>1536</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>3072</dim>
<dim>1536</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="826" name="Reshape_73827_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 3072, 1, 1" offset="136736786" size="6144" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="827" name="Reshape_73827" 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>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="828" name="/final_conv/Conv" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/final_conv/Conv_output_0">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="829" name="/final_act/Mul_1" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="/final_act/Mul_1_output_0">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="830" name="Constant_96158" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="47168" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="831" name="/final_act/Mul_2" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/final_act/Mul_2_output_0">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
</output>
</layer>
<layer id="832" name="Range_73845" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="884406" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="833" name="/head/global_pool/pool/GlobalAveragePool" type="ReduceMean" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>8</dim>
<dim>8</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/head/global_pool/pool/GlobalAveragePool_output_0">
<dim>1</dim>
<dim>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="834" name="Concat_84515" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="136742930" size="16" />
<rt_info>
<attribute name="DisablePrecisionConversion" version="0" value="dynamic:f16" />
</rt_info>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="835" name="/head/global_pool/Flatten" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="/head/global_pool/Flatten_output_0">
<dim>1</dim>
<dim>3072</dim>
</port>
</output>
</layer>
<layer id="836" name="head.fc.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1000, 3072" offset="136742946" size="6144000" />
<output>
<port id="0" precision="FP16" names="head.fc.weight">
<dim>1000</dim>
<dim>3072</dim>
</port>
</output>
</layer>
<layer id="837" name="head.fc.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>1000</dim>
<dim>3072</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1000</dim>
<dim>3072</dim>
</port>
</output>
</layer>
<layer id="838" name="/head/fc/Gemm/WithoutBiases" type="MatMul" version="opset1">
<data transpose_a="false" transpose_b="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3072</dim>
</port>
<port id="1" precision="FP32">
<dim>1000</dim>
<dim>3072</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>1000</dim>
</port>
</output>
</layer>
<layer id="839" name="Constant_96159_compressed" type="Const" version="opset1">
<data element_type="f16" shape="1, 1000" offset="142886946" size="2000" />
<output>
<port id="0" precision="FP16">
<dim>1</dim>
<dim>1000</dim>
</port>
</output>
</layer>
<layer id="840" name="Constant_96159" 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>1000</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1000</dim>
</port>
</output>
</layer>
<layer id="841" name="probs" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1000</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1000</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="probs">
<dim>1</dim>
<dim>1000</dim>
</port>
</output>
</layer>
<layer id="842" name="probs/sink_port_0" type="Result" version="opset1" output_names="probs">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1000</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
<edge from-layer="4" from-port="0" to-layer="5" to-port="0" />
<edge from-layer="5" from-port="1" to-layer="6" to-port="1" />
<edge from-layer="6" from-port="2" to-layer="7" to-port="0" />
<edge from-layer="7" from-port="1" to-layer="10" to-port="0" />
<edge from-layer="8" from-port="0" to-layer="9" to-port="0" />
<edge from-layer="9" from-port="1" to-layer="10" to-port="1" />
<edge from-layer="10" from-port="2" to-layer="13" to-port="0" />
<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
<edge from-layer="12" from-port="1" to-layer="13" to-port="1" />
<edge from-layer="13" from-port="2" to-layer="14" to-port="0" />
<edge from-layer="14" from-port="1" to-layer="17" to-port="0" />
<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="1" />
<edge from-layer="17" from-port="2" 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="21" to-port="0" />
<edge from-layer="21" from-port="1" to-layer="23" to-port="0" />
<edge from-layer="22" from-port="0" to-layer="23" to-port="1" />
<edge from-layer="23" from-port="2" to-layer="25" to-port="0" />
<edge from-layer="23" from-port="2" to-layer="66" to-port="0" />
<edge from-layer="24" from-port="0" to-layer="29" to-port="0" />
<edge from-layer="25" from-port="1" to-layer="28" to-port="0" />
<edge from-layer="25" from-port="1" to-layer="40" to-port="0" />
<edge from-layer="26" from-port="0" to-layer="28" to-port="1" />
<edge from-layer="27" from-port="0" to-layer="28" to-port="2" />
<edge from-layer="28" from-port="3" to-layer="29" to-port="1" />
<edge from-layer="29" from-port="2" to-layer="31" to-port="0" />
<edge from-layer="29" from-port="2" to-layer="34" to-port="0" />
<edge from-layer="30" from-port="0" to-layer="31" to-port="1" />
<edge from-layer="31" from-port="2" to-layer="34" to-port="1" />
<edge from-layer="31" from-port="2" to-layer="33" to-port="0" />
<edge from-layer="32" from-port="0" to-layer="33" to-port="1" />
<edge from-layer="33" from-port="2" to-layer="50" to-port="0" />
<edge from-layer="34" from-port="2" to-layer="36" to-port="0" />
<edge from-layer="35" from-port="0" to-layer="36" to-port="1" />
<edge from-layer="36" from-port="2" to-layer="50" to-port="1" />
<edge from-layer="37" from-port="0" to-layer="41" to-port="0" />
<edge from-layer="38" from-port="0" to-layer="40" to-port="1" />
<edge from-layer="39" from-port="0" to-layer="40" to-port="2" />
<edge from-layer="40" from-port="3" to-layer="41" to-port="1" />
<edge from-layer="41" from-port="2" to-layer="43" to-port="0" />
<edge from-layer="41" from-port="2" to-layer="46" 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="45" to-port="0" />
<edge from-layer="43" from-port="2" to-layer="46" to-port="1" />
<edge from-layer="44" from-port="0" to-layer="45" to-port="1" />
<edge from-layer="45" from-port="2" to-layer="50" to-port="2" />
<edge from-layer="46" from-port="2" to-layer="48" to-port="0" />
<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
<edge from-layer="48" from-port="2" to-layer="50" to-port="3" />
<edge from-layer="49" from-port="0" to-layer="50" to-port="4" />
<edge from-layer="50" from-port="5" 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="57" to-port="0" />
<edge from-layer="53" from-port="0" to-layer="57" to-port="1" />
<edge from-layer="54" from-port="0" to-layer="57" to-port="2" />
<edge from-layer="55" from-port="0" to-layer="57" to-port="3" />
<edge from-layer="56" from-port="0" to-layer="57" to-port="4" />
<edge from-layer="57" from-port="5" to-layer="59" to-port="0" />
<edge from-layer="58" from-port="0" to-layer="59" to-port="1" />
<edge from-layer="59" from-port="2" to-layer="61" to-port="0" />
<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
<edge from-layer="61" from-port="2" to-layer="63" to-port="0" />
<edge from-layer="62" from-port="0" to-layer="63" to-port="1" />
<edge from-layer="63" from-port="2" to-layer="66" to-port="1" />
<edge from-layer="63" from-port="3" to-layer="66" to-port="2" />
<edge from-layer="64" from-port="0" to-layer="65" to-port="0" />
<edge from-layer="65" from-port="1" to-layer="66" to-port="3" />
<edge from-layer="66" from-port="4" to-layer="69" to-port="0" />
<edge from-layer="67" from-port="0" to-layer="68" to-port="0" />
<edge from-layer="68" from-port="1" to-layer="69" to-port="1" />
<edge from-layer="69" from-port="2" to-layer="72" to-port="0" />
<edge from-layer="70" from-port="0" to-layer="71" to-port="0" />
<edge from-layer="71" from-port="1" to-layer="72" to-port="1" />
<edge from-layer="72" from-port="2" to-layer="73" to-port="0" />
<edge from-layer="73" from-port="1" to-layer="75" to-port="0" />
<edge from-layer="74" from-port="0" to-layer="75" to-port="1" />
<edge from-layer="75" from-port="2" to-layer="78" to-port="0" />
<edge from-layer="75" from-port="2" to-layer="124" to-port="0" />
<edge from-layer="76" from-port="0" to-layer="77" to-port="0" />
<edge from-layer="77" from-port="1" to-layer="78" to-port="1" />
<edge from-layer="78" from-port="2" to-layer="81" to-port="0" />
<edge from-layer="79" from-port="0" to-layer="80" to-port="0" />
<edge from-layer="80" from-port="1" to-layer="81" to-port="1" />
<edge from-layer="81" from-port="2" to-layer="82" to-port="0" />
<edge from-layer="82" from-port="1" to-layer="85" to-port="0" />
<edge from-layer="83" from-port="0" to-layer="84" to-port="0" />
<edge from-layer="84" from-port="1" to-layer="85" to-port="1" />
<edge from-layer="85" from-port="2" to-layer="88" to-port="0" />
<edge from-layer="86" from-port="0" to-layer="87" to-port="0" />
<edge from-layer="87" from-port="1" 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="92" to-port="0" />
<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="1" />
<edge from-layer="92" from-port="2" 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="96" to-port="0" />
<edge from-layer="96" from-port="1" to-layer="99" to-port="0" />
<edge from-layer="97" from-port="0" to-layer="98" to-port="0" />
<edge from-layer="98" from-port="1" to-layer="99" to-port="1" />
<edge from-layer="99" from-port="2" to-layer="102" to-port="0" />
<edge from-layer="100" from-port="0" to-layer="101" to-port="0" />
<edge from-layer="101" from-port="1" to-layer="102" to-port="1" />
<edge from-layer="102" from-port="2" to-layer="104" to-port="0" />
<edge from-layer="102" from-port="2" to-layer="119" to-port="0" />
<edge from-layer="103" from-port="0" to-layer="104" to-port="1" />
<edge from-layer="104" from-port="2" to-layer="107" to-port="0" />
<edge from-layer="105" from-port="0" to-layer="106" to-port="0" />
<edge from-layer="106" from-port="1" to-layer="107" to-port="1" />
<edge from-layer="107" from-port="2" to-layer="110" to-port="0" />
<edge from-layer="108" from-port="0" to-layer="109" to-port="0" />
<edge from-layer="109" from-port="1" to-layer="110" to-port="1" />
<edge from-layer="110" from-port="2" to-layer="111" to-port="0" />
<edge from-layer="111" from-port="1" to-layer="114" to-port="0" />
<edge from-layer="112" from-port="0" to-layer="113" to-port="0" />
<edge from-layer="113" from-port="1" to-layer="114" to-port="1" />
<edge from-layer="114" from-port="2" to-layer="117" to-port="0" />
<edge from-layer="115" from-port="0" to-layer="116" to-port="0" />
<edge from-layer="116" from-port="1" to-layer="117" to-port="1" />
<edge from-layer="117" from-port="2" to-layer="118" to-port="0" />
<edge from-layer="118" from-port="1" to-layer="119" to-port="1" />
<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
<edge from-layer="121" from-port="2" to-layer="128" to-port="0" />
<edge from-layer="122" from-port="0" to-layer="123" to-port="0" />
<edge from-layer="123" from-port="1" to-layer="124" to-port="1" />
<edge from-layer="124" from-port="2" to-layer="127" to-port="0" />
<edge from-layer="125" from-port="0" to-layer="126" to-port="0" />
<edge from-layer="126" from-port="1" to-layer="127" to-port="1" />
<edge from-layer="127" from-port="2" to-layer="128" to-port="1" />
<edge from-layer="128" from-port="2" to-layer="129" to-port="0" />
<edge from-layer="129" from-port="1" to-layer="131" to-port="0" />
<edge from-layer="130" from-port="0" to-layer="131" to-port="1" />
<edge from-layer="131" from-port="2" to-layer="134" to-port="0" />
<edge from-layer="131" from-port="2" to-layer="224" to-port="0" />
<edge from-layer="132" from-port="0" to-layer="133" to-port="0" />
<edge from-layer="133" from-port="1" to-layer="134" to-port="1" />
<edge from-layer="134" from-port="2" to-layer="137" to-port="0" />
<edge from-layer="135" from-port="0" to-layer="136" to-port="0" />
<edge from-layer="136" from-port="1" to-layer="137" to-port="1" />
<edge from-layer="137" from-port="2" to-layer="138" to-port="0" />
<edge from-layer="138" from-port="1" to-layer="140" to-port="0" />
<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
<edge from-layer="140" from-port="2" to-layer="142" to-port="0" />
<edge from-layer="140" from-port="2" to-layer="183" to-port="0" />
<edge from-layer="141" from-port="0" to-layer="146" to-port="0" />
<edge from-layer="142" from-port="1" to-layer="145" to-port="0" />
<edge from-layer="142" from-port="1" to-layer="157" to-port="0" />
<edge from-layer="143" from-port="0" to-layer="145" to-port="1" />
<edge from-layer="144" from-port="0" to-layer="145" to-port="2" />
<edge from-layer="145" from-port="3" to-layer="146" to-port="1" />
<edge from-layer="146" from-port="2" to-layer="148" to-port="0" />
<edge from-layer="146" from-port="2" to-layer="151" to-port="0" />
<edge from-layer="147" from-port="0" to-layer="148" to-port="1" />
<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
<edge from-layer="148" from-port="2" to-layer="151" to-port="1" />
<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
<edge from-layer="150" from-port="2" to-layer="167" to-port="0" />
<edge from-layer="151" from-port="2" to-layer="153" to-port="0" />
<edge from-layer="152" from-port="0" to-layer="153" to-port="1" />
<edge from-layer="153" from-port="2" to-layer="167" to-port="1" />
<edge from-layer="154" from-port="0" to-layer="158" to-port="0" />
<edge from-layer="155" from-port="0" to-layer="157" to-port="1" />
<edge from-layer="156" from-port="0" to-layer="157" to-port="2" />
<edge from-layer="157" from-port="3" to-layer="158" to-port="1" />
<edge from-layer="158" from-port="2" to-layer="160" to-port="0" />
<edge from-layer="158" from-port="2" to-layer="163" to-port="0" />
<edge from-layer="159" from-port="0" to-layer="160" to-port="1" />
<edge from-layer="160" from-port="2" to-layer="163" to-port="1" />
<edge from-layer="160" from-port="2" to-layer="162" to-port="0" />
<edge from-layer="161" from-port="0" to-layer="162" to-port="1" />
<edge from-layer="162" from-port="2" to-layer="167" to-port="2" />
<edge from-layer="163" from-port="2" to-layer="165" to-port="0" />
<edge from-layer="164" from-port="0" to-layer="165" to-port="1" />
<edge from-layer="165" from-port="2" to-layer="167" to-port="3" />
<edge from-layer="166" from-port="0" to-layer="167" to-port="4" />
<edge from-layer="167" from-port="5" to-layer="169" to-port="0" />
<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
<edge from-layer="169" from-port="2" to-layer="174" to-port="0" />
<edge from-layer="170" from-port="0" to-layer="174" to-port="1" />
<edge from-layer="171" from-port="0" to-layer="174" to-port="2" />
<edge from-layer="172" from-port="0" to-layer="174" to-port="3" />
<edge from-layer="173" from-port="0" to-layer="174" to-port="4" />
<edge from-layer="174" from-port="5" to-layer="176" to-port="0" />
<edge from-layer="175" from-port="0" to-layer="176" to-port="1" />
<edge from-layer="176" from-port="2" to-layer="178" to-port="0" />
<edge from-layer="177" from-port="0" to-layer="178" to-port="1" />
<edge from-layer="178" from-port="2" to-layer="180" to-port="0" />
<edge from-layer="179" from-port="0" to-layer="180" to-port="1" />
<edge from-layer="180" from-port="2" to-layer="183" to-port="1" />
<edge from-layer="180" from-port="3" to-layer="183" to-port="2" />
<edge from-layer="181" from-port="0" to-layer="182" to-port="0" />
<edge from-layer="182" from-port="1" to-layer="183" to-port="3" />
<edge from-layer="183" from-port="4" to-layer="186" to-port="0" />
<edge from-layer="184" from-port="0" to-layer="185" to-port="0" />
<edge from-layer="185" from-port="1" to-layer="186" to-port="1" />
<edge from-layer="186" from-port="2" to-layer="189" to-port="0" />
<edge from-layer="187" from-port="0" to-layer="188" to-port="0" />
<edge from-layer="188" from-port="1" to-layer="189" to-port="1" />
<edge from-layer="189" from-port="2" to-layer="190" to-port="0" />
<edge from-layer="190" from-port="1" to-layer="193" to-port="0" />
<edge from-layer="191" from-port="0" to-layer="192" to-port="0" />
<edge from-layer="192" from-port="1" to-layer="193" to-port="1" />
<edge from-layer="193" from-port="2" to-layer="196" to-port="0" />
<edge from-layer="194" from-port="0" to-layer="195" to-port="0" />
<edge from-layer="195" from-port="1" to-layer="196" to-port="1" />
<edge from-layer="196" from-port="2" to-layer="197" to-port="0" />
<edge from-layer="197" from-port="1" to-layer="200" to-port="0" />
<edge from-layer="198" from-port="0" to-layer="199" to-port="0" />
<edge from-layer="199" from-port="1" to-layer="200" to-port="1" />
<edge from-layer="200" from-port="2" to-layer="203" to-port="0" />
<edge from-layer="201" from-port="0" to-layer="202" to-port="0" />
<edge from-layer="202" from-port="1" to-layer="203" to-port="1" />
<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
<edge from-layer="203" from-port="2" to-layer="220" to-port="0" />
<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
<edge from-layer="205" from-port="2" to-layer="208" to-port="0" />
<edge from-layer="206" from-port="0" to-layer="207" to-port="0" />
<edge from-layer="207" from-port="1" to-layer="208" to-port="1" />
<edge from-layer="208" from-port="2" to-layer="211" to-port="0" />
<edge from-layer="209" from-port="0" to-layer="210" to-port="0" />
<edge from-layer="210" from-port="1" to-layer="211" to-port="1" />
<edge from-layer="211" from-port="2" to-layer="212" to-port="0" />
<edge from-layer="212" from-port="1" to-layer="215" to-port="0" />
<edge from-layer="213" from-port="0" to-layer="214" to-port="0" />
<edge from-layer="214" from-port="1" to-layer="215" to-port="1" />
<edge from-layer="215" from-port="2" to-layer="218" to-port="0" />
<edge from-layer="216" from-port="0" to-layer="217" to-port="0" />
<edge from-layer="217" from-port="1" to-layer="218" to-port="1" />
<edge from-layer="218" from-port="2" to-layer="219" to-port="0" />
<edge from-layer="219" from-port="1" to-layer="220" to-port="1" />
<edge from-layer="220" from-port="2" to-layer="223" to-port="0" />
<edge from-layer="221" from-port="0" to-layer="222" to-port="0" />
<edge from-layer="222" from-port="1" to-layer="223" to-port="1" />
<edge from-layer="223" from-port="2" to-layer="231" to-port="0" />
<edge from-layer="224" from-port="1" to-layer="227" to-port="0" />
<edge from-layer="225" from-port="0" to-layer="226" to-port="0" />
<edge from-layer="226" from-port="1" to-layer="227" to-port="1" />
<edge from-layer="227" from-port="2" to-layer="230" to-port="0" />
<edge from-layer="228" from-port="0" to-layer="229" to-port="0" />
<edge from-layer="229" from-port="1" to-layer="230" to-port="1" />
<edge from-layer="230" from-port="2" to-layer="231" to-port="1" />
<edge from-layer="231" from-port="2" to-layer="232" to-port="0" />
<edge from-layer="231" from-port="2" to-layer="279" to-port="1" />
<edge from-layer="232" from-port="1" to-layer="235" to-port="0" />
<edge from-layer="233" from-port="0" to-layer="234" to-port="0" />
<edge from-layer="234" from-port="1" to-layer="235" to-port="1" />
<edge from-layer="235" from-port="2" to-layer="238" to-port="0" />
<edge from-layer="236" from-port="0" to-layer="237" to-port="0" />
<edge from-layer="237" from-port="1" to-layer="238" to-port="1" />
<edge from-layer="238" from-port="2" to-layer="239" to-port="0" />
<edge from-layer="239" from-port="1" to-layer="242" to-port="0" />
<edge from-layer="240" from-port="0" to-layer="241" to-port="0" />
<edge from-layer="241" from-port="1" to-layer="242" to-port="1" />
<edge from-layer="242" from-port="2" to-layer="245" to-port="0" />
<edge from-layer="243" from-port="0" to-layer="244" to-port="0" />
<edge from-layer="244" from-port="1" to-layer="245" to-port="1" />
<edge from-layer="245" from-port="2" to-layer="246" to-port="0" />
<edge from-layer="246" from-port="1" to-layer="249" to-port="0" />
<edge from-layer="247" from-port="0" to-layer="248" to-port="0" />
<edge from-layer="248" from-port="1" to-layer="249" to-port="1" />
<edge from-layer="249" from-port="2" to-layer="252" to-port="0" />
<edge from-layer="250" from-port="0" to-layer="251" to-port="0" />
<edge from-layer="251" from-port="1" to-layer="252" to-port="1" />
<edge from-layer="252" from-port="2" to-layer="253" to-port="0" />
<edge from-layer="253" from-port="1" to-layer="256" to-port="0" />
<edge from-layer="254" from-port="0" to-layer="255" to-port="0" />
<edge from-layer="255" from-port="1" to-layer="256" to-port="1" />
<edge from-layer="256" from-port="2" to-layer="259" to-port="0" />
<edge from-layer="257" from-port="0" to-layer="258" to-port="0" />
<edge from-layer="258" from-port="1" to-layer="259" to-port="1" />
<edge from-layer="259" from-port="2" to-layer="276" to-port="0" />
<edge from-layer="259" from-port="2" to-layer="261" to-port="0" />
<edge from-layer="260" from-port="0" to-layer="261" to-port="1" />
<edge from-layer="261" from-port="2" to-layer="264" to-port="0" />
<edge from-layer="262" from-port="0" to-layer="263" to-port="0" />
<edge from-layer="263" from-port="1" to-layer="264" to-port="1" />
<edge from-layer="264" from-port="2" to-layer="267" to-port="0" />
<edge from-layer="265" from-port="0" to-layer="266" to-port="0" />
<edge from-layer="266" from-port="1" to-layer="267" to-port="1" />
<edge from-layer="267" from-port="2" to-layer="268" to-port="0" />
<edge from-layer="268" from-port="1" to-layer="271" to-port="0" />
<edge from-layer="269" from-port="0" to-layer="270" to-port="0" />
<edge from-layer="270" from-port="1" to-layer="271" to-port="1" />
<edge from-layer="271" from-port="2" to-layer="274" to-port="0" />
<edge from-layer="272" from-port="0" to-layer="273" to-port="0" />
<edge from-layer="273" from-port="1" to-layer="274" to-port="1" />
<edge from-layer="274" from-port="2" to-layer="275" to-port="0" />
<edge from-layer="275" from-port="1" to-layer="276" to-port="1" />
<edge from-layer="276" from-port="2" to-layer="278" to-port="0" />
<edge from-layer="277" from-port="0" to-layer="278" to-port="1" />
<edge from-layer="278" from-port="2" to-layer="279" to-port="0" />
<edge from-layer="279" from-port="2" to-layer="280" to-port="0" />
<edge from-layer="280" from-port="1" to-layer="282" to-port="0" />
<edge from-layer="281" from-port="0" to-layer="282" to-port="1" />
<edge from-layer="282" from-port="2" to-layer="375" to-port="0" />
<edge from-layer="282" from-port="2" to-layer="285" to-port="0" />
<edge from-layer="283" from-port="0" to-layer="284" to-port="0" />
<edge from-layer="284" from-port="1" to-layer="285" to-port="1" />
<edge from-layer="285" from-port="2" to-layer="288" to-port="0" />
<edge from-layer="286" from-port="0" to-layer="287" to-port="0" />
<edge from-layer="287" from-port="1" to-layer="288" to-port="1" />
<edge from-layer="288" from-port="2" to-layer="289" to-port="0" />
<edge from-layer="289" from-port="1" to-layer="291" to-port="0" />
<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
<edge from-layer="291" from-port="2" to-layer="293" to-port="0" />
<edge from-layer="291" from-port="2" to-layer="334" to-port="0" />
<edge from-layer="292" from-port="0" to-layer="297" to-port="0" />
<edge from-layer="293" from-port="1" to-layer="296" to-port="0" />
<edge from-layer="293" from-port="1" to-layer="308" to-port="0" />
<edge from-layer="294" from-port="0" to-layer="296" to-port="1" />
<edge from-layer="295" from-port="0" to-layer="296" to-port="2" />
<edge from-layer="296" from-port="3" to-layer="297" to-port="1" />
<edge from-layer="297" from-port="2" to-layer="299" to-port="0" />
<edge from-layer="297" from-port="2" to-layer="302" to-port="0" />
<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
<edge from-layer="299" from-port="2" to-layer="301" to-port="0" />
<edge from-layer="299" from-port="2" to-layer="302" to-port="1" />
<edge from-layer="300" from-port="0" to-layer="301" to-port="1" />
<edge from-layer="301" from-port="2" to-layer="318" to-port="0" />
<edge from-layer="302" from-port="2" to-layer="304" to-port="0" />
<edge from-layer="303" from-port="0" to-layer="304" to-port="1" />
<edge from-layer="304" from-port="2" to-layer="318" to-port="1" />
<edge from-layer="305" from-port="0" to-layer="309" to-port="0" />
<edge from-layer="306" from-port="0" to-layer="308" to-port="1" />
<edge from-layer="307" from-port="0" to-layer="308" to-port="2" />
<edge from-layer="308" from-port="3" to-layer="309" to-port="1" />
<edge from-layer="309" from-port="2" to-layer="311" to-port="0" />
<edge from-layer="309" from-port="2" to-layer="314" to-port="0" />
<edge from-layer="310" from-port="0" to-layer="311" to-port="1" />
<edge from-layer="311" from-port="2" to-layer="313" to-port="0" />
<edge from-layer="311" from-port="2" to-layer="314" to-port="1" />
<edge from-layer="312" from-port="0" to-layer="313" to-port="1" />
<edge from-layer="313" from-port="2" to-layer="318" to-port="2" />
<edge from-layer="314" from-port="2" to-layer="316" to-port="0" />
<edge from-layer="315" from-port="0" to-layer="316" to-port="1" />
<edge from-layer="316" from-port="2" to-layer="318" to-port="3" />
<edge from-layer="317" from-port="0" to-layer="318" to-port="4" />
<edge from-layer="318" from-port="5" to-layer="320" to-port="0" />
<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
<edge from-layer="320" from-port="2" to-layer="325" to-port="0" />
<edge from-layer="321" from-port="0" to-layer="325" to-port="1" />
<edge from-layer="322" from-port="0" to-layer="325" to-port="2" />
<edge from-layer="323" from-port="0" to-layer="325" to-port="3" />
<edge from-layer="324" from-port="0" to-layer="325" to-port="4" />
<edge from-layer="325" from-port="5" to-layer="327" to-port="0" />
<edge from-layer="326" from-port="0" to-layer="327" to-port="1" />
<edge from-layer="327" from-port="2" to-layer="329" to-port="0" />
<edge from-layer="328" from-port="0" to-layer="329" to-port="1" />
<edge from-layer="329" from-port="2" to-layer="331" to-port="0" />
<edge from-layer="330" from-port="0" to-layer="331" to-port="1" />
<edge from-layer="331" from-port="2" to-layer="334" to-port="1" />
<edge from-layer="331" from-port="3" to-layer="334" to-port="2" />
<edge from-layer="332" from-port="0" to-layer="333" to-port="0" />
<edge from-layer="333" from-port="1" to-layer="334" to-port="3" />
<edge from-layer="334" from-port="4" to-layer="337" to-port="0" />
<edge from-layer="335" from-port="0" to-layer="336" to-port="0" />
<edge from-layer="336" from-port="1" to-layer="337" to-port="1" />
<edge from-layer="337" from-port="2" to-layer="340" to-port="0" />
<edge from-layer="338" from-port="0" to-layer="339" to-port="0" />
<edge from-layer="339" from-port="1" to-layer="340" to-port="1" />
<edge from-layer="340" from-port="2" to-layer="341" to-port="0" />
<edge from-layer="341" from-port="1" to-layer="344" to-port="0" />
<edge from-layer="342" from-port="0" to-layer="343" to-port="0" />
<edge from-layer="343" from-port="1" to-layer="344" to-port="1" />
<edge from-layer="344" from-port="2" to-layer="347" to-port="0" />
<edge from-layer="345" from-port="0" to-layer="346" to-port="0" />
<edge from-layer="346" from-port="1" to-layer="347" to-port="1" />
<edge from-layer="347" from-port="2" to-layer="348" to-port="0" />
<edge from-layer="348" from-port="1" to-layer="351" to-port="0" />
<edge from-layer="349" from-port="0" to-layer="350" to-port="0" />
<edge from-layer="350" from-port="1" to-layer="351" to-port="1" />
<edge from-layer="351" from-port="2" to-layer="354" to-port="0" />
<edge from-layer="352" from-port="0" to-layer="353" to-port="0" />
<edge from-layer="353" from-port="1" to-layer="354" to-port="1" />
<edge from-layer="354" from-port="2" to-layer="356" to-port="0" />
<edge from-layer="354" from-port="2" to-layer="371" to-port="0" />
<edge from-layer="355" from-port="0" to-layer="356" to-port="1" />
<edge from-layer="356" from-port="2" to-layer="359" to-port="0" />
<edge from-layer="357" from-port="0" to-layer="358" to-port="0" />
<edge from-layer="358" from-port="1" to-layer="359" to-port="1" />
<edge from-layer="359" from-port="2" to-layer="362" to-port="0" />
<edge from-layer="360" from-port="0" to-layer="361" to-port="0" />
<edge from-layer="361" from-port="1" to-layer="362" to-port="1" />
<edge from-layer="362" from-port="2" to-layer="363" to-port="0" />
<edge from-layer="363" from-port="1" to-layer="366" to-port="0" />
<edge from-layer="364" from-port="0" to-layer="365" to-port="0" />
<edge from-layer="365" from-port="1" to-layer="366" to-port="1" />
<edge from-layer="366" from-port="2" to-layer="369" to-port="0" />
<edge from-layer="367" from-port="0" to-layer="368" to-port="0" />
<edge from-layer="368" from-port="1" to-layer="369" to-port="1" />
<edge from-layer="369" from-port="2" to-layer="370" to-port="0" />
<edge from-layer="370" from-port="1" to-layer="371" to-port="1" />
<edge from-layer="371" from-port="2" to-layer="374" to-port="0" />
<edge from-layer="372" from-port="0" to-layer="373" to-port="0" />
<edge from-layer="373" from-port="1" to-layer="374" to-port="1" />
<edge from-layer="374" from-port="2" to-layer="382" to-port="0" />
<edge from-layer="375" from-port="1" to-layer="378" to-port="0" />
<edge from-layer="376" from-port="0" to-layer="377" to-port="0" />
<edge from-layer="377" from-port="1" to-layer="378" to-port="1" />
<edge from-layer="378" from-port="2" to-layer="381" to-port="0" />
<edge from-layer="379" from-port="0" to-layer="380" to-port="0" />
<edge from-layer="380" from-port="1" to-layer="381" to-port="1" />
<edge from-layer="381" from-port="2" to-layer="382" to-port="1" />
<edge from-layer="382" from-port="2" to-layer="383" to-port="0" />
<edge from-layer="382" from-port="2" to-layer="430" to-port="1" />
<edge from-layer="383" from-port="1" to-layer="386" to-port="0" />
<edge from-layer="384" from-port="0" to-layer="385" to-port="0" />
<edge from-layer="385" from-port="1" to-layer="386" to-port="1" />
<edge from-layer="386" from-port="2" to-layer="389" to-port="0" />
<edge from-layer="387" from-port="0" to-layer="388" to-port="0" />
<edge from-layer="388" from-port="1" to-layer="389" to-port="1" />
<edge from-layer="389" from-port="2" to-layer="390" to-port="0" />
<edge from-layer="390" from-port="1" to-layer="393" to-port="0" />
<edge from-layer="391" from-port="0" to-layer="392" to-port="0" />
<edge from-layer="392" from-port="1" to-layer="393" to-port="1" />
<edge from-layer="393" from-port="2" to-layer="396" to-port="0" />
<edge from-layer="394" from-port="0" to-layer="395" to-port="0" />
<edge from-layer="395" from-port="1" to-layer="396" to-port="1" />
<edge from-layer="396" from-port="2" to-layer="397" to-port="0" />
<edge from-layer="397" from-port="1" to-layer="400" to-port="0" />
<edge from-layer="398" from-port="0" to-layer="399" to-port="0" />
<edge from-layer="399" from-port="1" to-layer="400" to-port="1" />
<edge from-layer="400" from-port="2" to-layer="403" to-port="0" />
<edge from-layer="401" from-port="0" to-layer="402" to-port="0" />
<edge from-layer="402" from-port="1" to-layer="403" to-port="1" />
<edge from-layer="403" from-port="2" to-layer="404" to-port="0" />
<edge from-layer="404" from-port="1" to-layer="407" to-port="0" />
<edge from-layer="405" from-port="0" to-layer="406" to-port="0" />
<edge from-layer="406" from-port="1" to-layer="407" to-port="1" />
<edge from-layer="407" from-port="2" to-layer="410" to-port="0" />
<edge from-layer="408" from-port="0" to-layer="409" to-port="0" />
<edge from-layer="409" from-port="1" to-layer="410" to-port="1" />
<edge from-layer="410" from-port="2" to-layer="412" to-port="0" />
<edge from-layer="410" from-port="2" to-layer="427" to-port="0" />
<edge from-layer="411" from-port="0" to-layer="412" to-port="1" />
<edge from-layer="412" from-port="2" to-layer="415" to-port="0" />
<edge from-layer="413" from-port="0" to-layer="414" to-port="0" />
<edge from-layer="414" from-port="1" to-layer="415" to-port="1" />
<edge from-layer="415" from-port="2" to-layer="418" to-port="0" />
<edge from-layer="416" from-port="0" to-layer="417" to-port="0" />
<edge from-layer="417" from-port="1" to-layer="418" to-port="1" />
<edge from-layer="418" from-port="2" to-layer="419" to-port="0" />
<edge from-layer="419" from-port="1" to-layer="422" to-port="0" />
<edge from-layer="420" from-port="0" to-layer="421" to-port="0" />
<edge from-layer="421" from-port="1" to-layer="422" to-port="1" />
<edge from-layer="422" from-port="2" to-layer="425" to-port="0" />
<edge from-layer="423" from-port="0" to-layer="424" to-port="0" />
<edge from-layer="424" from-port="1" to-layer="425" to-port="1" />
<edge from-layer="425" from-port="2" to-layer="426" to-port="0" />
<edge from-layer="426" from-port="1" to-layer="427" to-port="1" />
<edge from-layer="427" from-port="2" to-layer="429" to-port="0" />
<edge from-layer="428" from-port="0" to-layer="429" to-port="1" />
<edge from-layer="429" from-port="2" to-layer="430" to-port="0" />
<edge from-layer="430" from-port="2" to-layer="431" to-port="0" />
<edge from-layer="430" from-port="2" to-layer="479" to-port="1" />
<edge from-layer="431" from-port="1" to-layer="434" to-port="0" />
<edge from-layer="432" from-port="0" to-layer="433" to-port="0" />
<edge from-layer="433" from-port="1" to-layer="434" to-port="1" />
<edge from-layer="434" from-port="2" to-layer="437" to-port="0" />
<edge from-layer="435" from-port="0" to-layer="436" to-port="0" />
<edge from-layer="436" from-port="1" to-layer="437" to-port="1" />
<edge from-layer="437" from-port="2" to-layer="438" to-port="0" />
<edge from-layer="438" from-port="1" to-layer="441" to-port="0" />
<edge from-layer="439" from-port="0" to-layer="440" to-port="0" />
<edge from-layer="440" from-port="1" to-layer="441" to-port="1" />
<edge from-layer="441" from-port="2" to-layer="444" to-port="0" />
<edge from-layer="442" from-port="0" to-layer="443" to-port="0" />
<edge from-layer="443" from-port="1" to-layer="444" to-port="1" />
<edge from-layer="444" from-port="2" to-layer="445" to-port="0" />
<edge from-layer="445" from-port="1" to-layer="448" to-port="0" />
<edge from-layer="446" from-port="0" to-layer="447" to-port="0" />
<edge from-layer="447" from-port="1" to-layer="448" to-port="1" />
<edge from-layer="448" from-port="2" to-layer="451" to-port="0" />
<edge from-layer="449" from-port="0" to-layer="450" to-port="0" />
<edge from-layer="450" from-port="1" to-layer="451" to-port="1" />
<edge from-layer="451" from-port="2" to-layer="452" to-port="0" />
<edge from-layer="452" from-port="1" to-layer="455" to-port="0" />
<edge from-layer="453" from-port="0" to-layer="454" to-port="0" />
<edge from-layer="454" from-port="1" to-layer="455" to-port="1" />
<edge from-layer="455" from-port="2" to-layer="458" to-port="0" />
<edge from-layer="456" from-port="0" to-layer="457" to-port="0" />
<edge from-layer="457" from-port="1" to-layer="458" to-port="1" />
<edge from-layer="458" from-port="2" to-layer="475" to-port="0" />
<edge from-layer="458" from-port="2" to-layer="460" to-port="0" />
<edge from-layer="459" from-port="0" to-layer="460" to-port="1" />
<edge from-layer="460" from-port="2" to-layer="463" to-port="0" />
<edge from-layer="461" from-port="0" to-layer="462" to-port="0" />
<edge from-layer="462" from-port="1" to-layer="463" to-port="1" />
<edge from-layer="463" from-port="2" to-layer="466" to-port="0" />
<edge from-layer="464" from-port="0" to-layer="465" to-port="0" />
<edge from-layer="465" from-port="1" to-layer="466" to-port="1" />
<edge from-layer="466" from-port="2" to-layer="467" to-port="0" />
<edge from-layer="467" from-port="1" to-layer="470" to-port="0" />
<edge from-layer="468" from-port="0" to-layer="469" to-port="0" />
<edge from-layer="469" from-port="1" to-layer="470" to-port="1" />
<edge from-layer="470" from-port="2" to-layer="473" to-port="0" />
<edge from-layer="471" from-port="0" to-layer="472" to-port="0" />
<edge from-layer="472" from-port="1" to-layer="473" to-port="1" />
<edge from-layer="473" from-port="2" to-layer="474" to-port="0" />
<edge from-layer="474" from-port="1" to-layer="475" to-port="1" />
<edge from-layer="475" from-port="2" to-layer="478" to-port="0" />
<edge from-layer="476" from-port="0" to-layer="477" to-port="0" />
<edge from-layer="477" from-port="1" to-layer="478" to-port="1" />
<edge from-layer="478" from-port="2" to-layer="479" to-port="0" />
<edge from-layer="479" from-port="2" to-layer="480" to-port="0" />
<edge from-layer="479" from-port="2" to-layer="527" to-port="1" />
<edge from-layer="480" from-port="1" to-layer="483" to-port="0" />
<edge from-layer="481" from-port="0" to-layer="482" to-port="0" />
<edge from-layer="482" from-port="1" to-layer="483" to-port="1" />
<edge from-layer="483" from-port="2" to-layer="486" to-port="0" />
<edge from-layer="484" from-port="0" to-layer="485" to-port="0" />
<edge from-layer="485" from-port="1" to-layer="486" to-port="1" />
<edge from-layer="486" from-port="2" to-layer="487" to-port="0" />
<edge from-layer="487" from-port="1" to-layer="490" to-port="0" />
<edge from-layer="488" from-port="0" to-layer="489" to-port="0" />
<edge from-layer="489" from-port="1" to-layer="490" to-port="1" />
<edge from-layer="490" from-port="2" to-layer="493" to-port="0" />
<edge from-layer="491" from-port="0" to-layer="492" to-port="0" />
<edge from-layer="492" from-port="1" to-layer="493" to-port="1" />
<edge from-layer="493" from-port="2" to-layer="494" to-port="0" />
<edge from-layer="494" from-port="1" to-layer="497" to-port="0" />
<edge from-layer="495" from-port="0" to-layer="496" to-port="0" />
<edge from-layer="496" from-port="1" to-layer="497" to-port="1" />
<edge from-layer="497" from-port="2" to-layer="500" to-port="0" />
<edge from-layer="498" from-port="0" to-layer="499" to-port="0" />
<edge from-layer="499" from-port="1" to-layer="500" to-port="1" />
<edge from-layer="500" from-port="2" to-layer="501" to-port="0" />
<edge from-layer="501" from-port="1" to-layer="504" to-port="0" />
<edge from-layer="502" from-port="0" to-layer="503" to-port="0" />
<edge from-layer="503" from-port="1" to-layer="504" to-port="1" />
<edge from-layer="504" from-port="2" to-layer="507" to-port="0" />
<edge from-layer="505" from-port="0" to-layer="506" to-port="0" />
<edge from-layer="506" from-port="1" to-layer="507" to-port="1" />
<edge from-layer="507" from-port="2" to-layer="509" to-port="0" />
<edge from-layer="507" from-port="2" to-layer="524" to-port="0" />
<edge from-layer="508" from-port="0" to-layer="509" to-port="1" />
<edge from-layer="509" from-port="2" to-layer="512" to-port="0" />
<edge from-layer="510" from-port="0" to-layer="511" to-port="0" />
<edge from-layer="511" from-port="1" to-layer="512" to-port="1" />
<edge from-layer="512" from-port="2" to-layer="515" to-port="0" />
<edge from-layer="513" from-port="0" to-layer="514" to-port="0" />
<edge from-layer="514" from-port="1" to-layer="515" to-port="1" />
<edge from-layer="515" from-port="2" to-layer="516" to-port="0" />
<edge from-layer="516" from-port="1" to-layer="519" to-port="0" />
<edge from-layer="517" from-port="0" to-layer="518" to-port="0" />
<edge from-layer="518" from-port="1" to-layer="519" to-port="1" />
<edge from-layer="519" from-port="2" to-layer="522" to-port="0" />
<edge from-layer="520" from-port="0" to-layer="521" to-port="0" />
<edge from-layer="521" from-port="1" to-layer="522" to-port="1" />
<edge from-layer="522" from-port="2" to-layer="523" to-port="0" />
<edge from-layer="523" from-port="1" to-layer="524" to-port="1" />
<edge from-layer="524" from-port="2" to-layer="526" to-port="0" />
<edge from-layer="525" from-port="0" to-layer="526" to-port="1" />
<edge from-layer="526" from-port="2" to-layer="527" to-port="0" />
<edge from-layer="527" from-port="2" to-layer="528" to-port="0" />
<edge from-layer="527" from-port="2" to-layer="576" to-port="1" />
<edge from-layer="528" from-port="1" to-layer="531" to-port="0" />
<edge from-layer="529" from-port="0" to-layer="530" to-port="0" />
<edge from-layer="530" from-port="1" to-layer="531" to-port="1" />
<edge from-layer="531" from-port="2" to-layer="534" to-port="0" />
<edge from-layer="532" from-port="0" to-layer="533" to-port="0" />
<edge from-layer="533" from-port="1" to-layer="534" to-port="1" />
<edge from-layer="534" from-port="2" to-layer="535" to-port="0" />
<edge from-layer="535" from-port="1" to-layer="538" to-port="0" />
<edge from-layer="536" from-port="0" to-layer="537" to-port="0" />
<edge from-layer="537" from-port="1" to-layer="538" to-port="1" />
<edge from-layer="538" from-port="2" to-layer="541" to-port="0" />
<edge from-layer="539" from-port="0" to-layer="540" to-port="0" />
<edge from-layer="540" from-port="1" to-layer="541" to-port="1" />
<edge from-layer="541" from-port="2" to-layer="542" to-port="0" />
<edge from-layer="542" from-port="1" to-layer="545" to-port="0" />
<edge from-layer="543" from-port="0" to-layer="544" to-port="0" />
<edge from-layer="544" from-port="1" to-layer="545" to-port="1" />
<edge from-layer="545" from-port="2" to-layer="548" to-port="0" />
<edge from-layer="546" from-port="0" to-layer="547" to-port="0" />
<edge from-layer="547" from-port="1" to-layer="548" to-port="1" />
<edge from-layer="548" from-port="2" to-layer="549" to-port="0" />
<edge from-layer="549" from-port="1" to-layer="552" to-port="0" />
<edge from-layer="550" from-port="0" to-layer="551" to-port="0" />
<edge from-layer="551" from-port="1" to-layer="552" to-port="1" />
<edge from-layer="552" from-port="2" to-layer="555" to-port="0" />
<edge from-layer="553" from-port="0" to-layer="554" to-port="0" />
<edge from-layer="554" from-port="1" to-layer="555" to-port="1" />
<edge from-layer="555" from-port="2" to-layer="557" to-port="0" />
<edge from-layer="555" from-port="2" to-layer="572" to-port="0" />
<edge from-layer="556" from-port="0" to-layer="557" to-port="1" />
<edge from-layer="557" from-port="2" to-layer="560" to-port="0" />
<edge from-layer="558" from-port="0" to-layer="559" to-port="0" />
<edge from-layer="559" from-port="1" to-layer="560" to-port="1" />
<edge from-layer="560" from-port="2" to-layer="563" to-port="0" />
<edge from-layer="561" from-port="0" to-layer="562" to-port="0" />
<edge from-layer="562" from-port="1" to-layer="563" to-port="1" />
<edge from-layer="563" from-port="2" to-layer="564" to-port="0" />
<edge from-layer="564" from-port="1" to-layer="567" to-port="0" />
<edge from-layer="565" from-port="0" to-layer="566" to-port="0" />
<edge from-layer="566" from-port="1" to-layer="567" to-port="1" />
<edge from-layer="567" from-port="2" to-layer="570" to-port="0" />
<edge from-layer="568" from-port="0" to-layer="569" to-port="0" />
<edge from-layer="569" from-port="1" to-layer="570" to-port="1" />
<edge from-layer="570" from-port="2" to-layer="571" to-port="0" />
<edge from-layer="571" from-port="1" to-layer="572" to-port="1" />
<edge from-layer="572" from-port="2" to-layer="575" to-port="0" />
<edge from-layer="573" from-port="0" to-layer="574" to-port="0" />
<edge from-layer="574" from-port="1" to-layer="575" to-port="1" />
<edge from-layer="575" from-port="2" to-layer="576" to-port="0" />
<edge from-layer="576" from-port="2" to-layer="577" to-port="0" />
<edge from-layer="576" from-port="2" to-layer="624" to-port="1" />
<edge from-layer="577" from-port="1" to-layer="580" to-port="0" />
<edge from-layer="578" from-port="0" to-layer="579" to-port="0" />
<edge from-layer="579" from-port="1" to-layer="580" to-port="1" />
<edge from-layer="580" from-port="2" to-layer="583" to-port="0" />
<edge from-layer="581" from-port="0" to-layer="582" to-port="0" />
<edge from-layer="582" from-port="1" to-layer="583" to-port="1" />
<edge from-layer="583" from-port="2" to-layer="584" to-port="0" />
<edge from-layer="584" from-port="1" to-layer="587" to-port="0" />
<edge from-layer="585" from-port="0" to-layer="586" to-port="0" />
<edge from-layer="586" from-port="1" to-layer="587" to-port="1" />
<edge from-layer="587" from-port="2" to-layer="590" to-port="0" />
<edge from-layer="588" from-port="0" to-layer="589" to-port="0" />
<edge from-layer="589" from-port="1" to-layer="590" to-port="1" />
<edge from-layer="590" from-port="2" to-layer="591" to-port="0" />
<edge from-layer="591" from-port="1" to-layer="594" to-port="0" />
<edge from-layer="592" from-port="0" to-layer="593" to-port="0" />
<edge from-layer="593" from-port="1" to-layer="594" to-port="1" />
<edge from-layer="594" from-port="2" to-layer="597" to-port="0" />
<edge from-layer="595" from-port="0" to-layer="596" to-port="0" />
<edge from-layer="596" from-port="1" to-layer="597" to-port="1" />
<edge from-layer="597" from-port="2" to-layer="598" to-port="0" />
<edge from-layer="598" from-port="1" to-layer="601" to-port="0" />
<edge from-layer="599" from-port="0" to-layer="600" to-port="0" />
<edge from-layer="600" from-port="1" to-layer="601" to-port="1" />
<edge from-layer="601" from-port="2" to-layer="604" to-port="0" />
<edge from-layer="602" from-port="0" to-layer="603" to-port="0" />
<edge from-layer="603" from-port="1" to-layer="604" to-port="1" />
<edge from-layer="604" from-port="2" to-layer="621" to-port="0" />
<edge from-layer="604" from-port="2" to-layer="606" to-port="0" />
<edge from-layer="605" from-port="0" to-layer="606" to-port="1" />
<edge from-layer="606" from-port="2" to-layer="609" to-port="0" />
<edge from-layer="607" from-port="0" to-layer="608" to-port="0" />
<edge from-layer="608" from-port="1" to-layer="609" to-port="1" />
<edge from-layer="609" from-port="2" to-layer="612" to-port="0" />
<edge from-layer="610" from-port="0" to-layer="611" to-port="0" />
<edge from-layer="611" from-port="1" to-layer="612" to-port="1" />
<edge from-layer="612" from-port="2" to-layer="613" to-port="0" />
<edge from-layer="613" from-port="1" to-layer="616" to-port="0" />
<edge from-layer="614" from-port="0" to-layer="615" to-port="0" />
<edge from-layer="615" from-port="1" to-layer="616" to-port="1" />
<edge from-layer="616" from-port="2" to-layer="619" to-port="0" />
<edge from-layer="617" from-port="0" to-layer="618" to-port="0" />
<edge from-layer="618" from-port="1" to-layer="619" to-port="1" />
<edge from-layer="619" from-port="2" to-layer="620" to-port="0" />
<edge from-layer="620" from-port="1" to-layer="621" to-port="1" />
<edge from-layer="621" from-port="2" to-layer="623" to-port="0" />
<edge from-layer="622" from-port="0" to-layer="623" to-port="1" />
<edge from-layer="623" from-port="2" to-layer="624" to-port="0" />
<edge from-layer="624" from-port="2" to-layer="625" to-port="0" />
<edge from-layer="625" from-port="1" to-layer="627" to-port="0" />
<edge from-layer="626" from-port="0" to-layer="627" to-port="1" />
<edge from-layer="627" from-port="2" to-layer="630" to-port="0" />
<edge from-layer="627" from-port="2" to-layer="719" to-port="0" />
<edge from-layer="628" from-port="0" to-layer="629" to-port="0" />
<edge from-layer="629" from-port="1" to-layer="630" to-port="1" />
<edge from-layer="630" from-port="2" to-layer="633" to-port="0" />
<edge from-layer="631" from-port="0" to-layer="632" to-port="0" />
<edge from-layer="632" from-port="1" to-layer="633" to-port="1" />
<edge from-layer="633" from-port="2" to-layer="634" to-port="0" />
<edge from-layer="634" from-port="1" to-layer="636" to-port="0" />
<edge from-layer="635" from-port="0" to-layer="636" to-port="1" />
<edge from-layer="636" from-port="2" to-layer="638" to-port="0" />
<edge from-layer="636" from-port="2" to-layer="679" to-port="0" />
<edge from-layer="637" from-port="0" to-layer="642" to-port="0" />
<edge from-layer="638" from-port="1" to-layer="641" to-port="0" />
<edge from-layer="638" from-port="1" to-layer="653" to-port="0" />
<edge from-layer="639" from-port="0" to-layer="641" to-port="1" />
<edge from-layer="640" from-port="0" to-layer="641" to-port="2" />
<edge from-layer="641" from-port="3" to-layer="642" to-port="1" />
<edge from-layer="642" from-port="2" to-layer="644" to-port="0" />
<edge from-layer="642" from-port="2" to-layer="647" to-port="0" />
<edge from-layer="643" from-port="0" to-layer="644" to-port="1" />
<edge from-layer="644" from-port="2" to-layer="646" to-port="0" />
<edge from-layer="644" from-port="2" to-layer="647" to-port="1" />
<edge from-layer="645" from-port="0" to-layer="646" to-port="1" />
<edge from-layer="646" from-port="2" to-layer="663" to-port="0" />
<edge from-layer="647" from-port="2" to-layer="649" to-port="0" />
<edge from-layer="648" from-port="0" to-layer="649" to-port="1" />
<edge from-layer="649" from-port="2" to-layer="663" to-port="1" />
<edge from-layer="650" from-port="0" to-layer="654" to-port="0" />
<edge from-layer="651" from-port="0" to-layer="653" to-port="1" />
<edge from-layer="652" from-port="0" to-layer="653" to-port="2" />
<edge from-layer="653" from-port="3" to-layer="654" to-port="1" />
<edge from-layer="654" from-port="2" to-layer="656" to-port="0" />
<edge from-layer="654" from-port="2" to-layer="659" to-port="0" />
<edge from-layer="655" from-port="0" to-layer="656" to-port="1" />
<edge from-layer="656" from-port="2" to-layer="658" to-port="0" />
<edge from-layer="656" from-port="2" to-layer="659" to-port="1" />
<edge from-layer="657" from-port="0" to-layer="658" to-port="1" />
<edge from-layer="658" from-port="2" to-layer="663" to-port="2" />
<edge from-layer="659" from-port="2" to-layer="661" to-port="0" />
<edge from-layer="660" from-port="0" to-layer="661" to-port="1" />
<edge from-layer="661" from-port="2" to-layer="663" to-port="3" />
<edge from-layer="662" from-port="0" to-layer="663" to-port="4" />
<edge from-layer="663" from-port="5" to-layer="665" to-port="0" />
<edge from-layer="664" from-port="0" to-layer="665" to-port="1" />
<edge from-layer="665" from-port="2" to-layer="670" to-port="0" />
<edge from-layer="666" from-port="0" to-layer="670" to-port="1" />
<edge from-layer="667" from-port="0" to-layer="670" to-port="2" />
<edge from-layer="668" from-port="0" to-layer="670" to-port="3" />
<edge from-layer="669" from-port="0" to-layer="670" to-port="4" />
<edge from-layer="670" from-port="5" to-layer="672" to-port="0" />
<edge from-layer="671" from-port="0" to-layer="672" to-port="1" />
<edge from-layer="672" from-port="2" to-layer="674" to-port="0" />
<edge from-layer="673" from-port="0" to-layer="674" to-port="1" />
<edge from-layer="674" from-port="2" to-layer="676" to-port="0" />
<edge from-layer="675" from-port="0" to-layer="676" to-port="1" />
<edge from-layer="676" from-port="3" to-layer="679" to-port="2" />
<edge from-layer="676" from-port="2" to-layer="679" to-port="1" />
<edge from-layer="677" from-port="0" to-layer="678" to-port="0" />
<edge from-layer="678" from-port="1" to-layer="679" to-port="3" />
<edge from-layer="679" from-port="4" to-layer="682" to-port="0" />
<edge from-layer="680" from-port="0" to-layer="681" to-port="0" />
<edge from-layer="681" from-port="1" to-layer="682" to-port="1" />
<edge from-layer="682" from-port="2" to-layer="685" to-port="0" />
<edge from-layer="683" from-port="0" to-layer="684" to-port="0" />
<edge from-layer="684" from-port="1" to-layer="685" to-port="1" />
<edge from-layer="685" from-port="2" to-layer="686" to-port="0" />
<edge from-layer="686" from-port="1" to-layer="689" to-port="0" />
<edge from-layer="687" from-port="0" to-layer="688" to-port="0" />
<edge from-layer="688" from-port="1" to-layer="689" to-port="1" />
<edge from-layer="689" from-port="2" to-layer="692" to-port="0" />
<edge from-layer="690" from-port="0" to-layer="691" to-port="0" />
<edge from-layer="691" from-port="1" to-layer="692" to-port="1" />
<edge from-layer="692" from-port="2" to-layer="693" to-port="0" />
<edge from-layer="693" from-port="1" to-layer="696" to-port="0" />
<edge from-layer="694" from-port="0" to-layer="695" to-port="0" />
<edge from-layer="695" from-port="1" to-layer="696" to-port="1" />
<edge from-layer="696" from-port="2" to-layer="699" to-port="0" />
<edge from-layer="697" from-port="0" to-layer="698" to-port="0" />
<edge from-layer="698" from-port="1" to-layer="699" to-port="1" />
<edge from-layer="699" from-port="2" to-layer="701" to-port="0" />
<edge from-layer="699" from-port="2" to-layer="716" to-port="0" />
<edge from-layer="700" from-port="0" to-layer="701" to-port="1" />
<edge from-layer="701" from-port="2" to-layer="704" to-port="0" />
<edge from-layer="702" from-port="0" to-layer="703" to-port="0" />
<edge from-layer="703" from-port="1" to-layer="704" to-port="1" />
<edge from-layer="704" from-port="2" to-layer="707" to-port="0" />
<edge from-layer="705" from-port="0" to-layer="706" to-port="0" />
<edge from-layer="706" from-port="1" to-layer="707" to-port="1" />
<edge from-layer="707" from-port="2" to-layer="708" to-port="0" />
<edge from-layer="708" from-port="1" to-layer="711" to-port="0" />
<edge from-layer="709" from-port="0" to-layer="710" to-port="0" />
<edge from-layer="710" from-port="1" to-layer="711" to-port="1" />
<edge from-layer="711" from-port="2" to-layer="714" to-port="0" />
<edge from-layer="712" from-port="0" to-layer="713" to-port="0" />
<edge from-layer="713" from-port="1" to-layer="714" to-port="1" />
<edge from-layer="714" from-port="2" to-layer="715" to-port="0" />
<edge from-layer="715" from-port="1" to-layer="716" to-port="1" />
<edge from-layer="716" from-port="2" to-layer="718" to-port="0" />
<edge from-layer="717" from-port="0" to-layer="718" to-port="1" />
<edge from-layer="718" from-port="2" to-layer="726" to-port="0" />
<edge from-layer="719" from-port="1" to-layer="722" to-port="0" />
<edge from-layer="720" from-port="0" to-layer="721" to-port="0" />
<edge from-layer="721" from-port="1" to-layer="722" to-port="1" />
<edge from-layer="722" from-port="2" to-layer="725" to-port="0" />
<edge from-layer="723" from-port="0" to-layer="724" to-port="0" />
<edge from-layer="724" from-port="1" to-layer="725" to-port="1" />
<edge from-layer="725" from-port="2" to-layer="726" to-port="1" />
<edge from-layer="726" from-port="2" to-layer="727" to-port="0" />
<edge from-layer="726" from-port="2" to-layer="774" to-port="1" />
<edge from-layer="727" from-port="1" to-layer="730" to-port="0" />
<edge from-layer="728" from-port="0" to-layer="729" to-port="0" />
<edge from-layer="729" from-port="1" to-layer="730" to-port="1" />
<edge from-layer="730" from-port="2" to-layer="733" to-port="0" />
<edge from-layer="731" from-port="0" to-layer="732" to-port="0" />
<edge from-layer="732" from-port="1" to-layer="733" to-port="1" />
<edge from-layer="733" from-port="2" to-layer="734" to-port="0" />
<edge from-layer="734" from-port="1" to-layer="737" to-port="0" />
<edge from-layer="735" from-port="0" to-layer="736" to-port="0" />
<edge from-layer="736" from-port="1" to-layer="737" to-port="1" />
<edge from-layer="737" from-port="2" to-layer="740" to-port="0" />
<edge from-layer="738" from-port="0" to-layer="739" to-port="0" />
<edge from-layer="739" from-port="1" to-layer="740" to-port="1" />
<edge from-layer="740" from-port="2" to-layer="741" to-port="0" />
<edge from-layer="741" from-port="1" to-layer="744" to-port="0" />
<edge from-layer="742" from-port="0" to-layer="743" to-port="0" />
<edge from-layer="743" from-port="1" to-layer="744" to-port="1" />
<edge from-layer="744" from-port="2" to-layer="747" to-port="0" />
<edge from-layer="745" from-port="0" to-layer="746" to-port="0" />
<edge from-layer="746" from-port="1" to-layer="747" to-port="1" />
<edge from-layer="747" from-port="2" to-layer="748" to-port="0" />
<edge from-layer="748" from-port="1" to-layer="751" to-port="0" />
<edge from-layer="749" from-port="0" to-layer="750" to-port="0" />
<edge from-layer="750" from-port="1" to-layer="751" to-port="1" />
<edge from-layer="751" from-port="2" to-layer="754" to-port="0" />
<edge from-layer="752" from-port="0" to-layer="753" to-port="0" />
<edge from-layer="753" from-port="1" to-layer="754" to-port="1" />
<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
<edge from-layer="754" from-port="2" to-layer="771" to-port="0" />
<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
<edge from-layer="756" from-port="2" to-layer="759" to-port="0" />
<edge from-layer="757" from-port="0" to-layer="758" to-port="0" />
<edge from-layer="758" from-port="1" to-layer="759" to-port="1" />
<edge from-layer="759" from-port="2" to-layer="762" to-port="0" />
<edge from-layer="760" from-port="0" to-layer="761" to-port="0" />
<edge from-layer="761" from-port="1" to-layer="762" to-port="1" />
<edge from-layer="762" from-port="2" to-layer="763" to-port="0" />
<edge from-layer="763" from-port="1" to-layer="766" to-port="0" />
<edge from-layer="764" from-port="0" to-layer="765" to-port="0" />
<edge from-layer="765" from-port="1" to-layer="766" to-port="1" />
<edge from-layer="766" from-port="2" to-layer="769" to-port="0" />
<edge from-layer="767" from-port="0" to-layer="768" to-port="0" />
<edge from-layer="768" from-port="1" to-layer="769" to-port="1" />
<edge from-layer="769" from-port="2" to-layer="770" to-port="0" />
<edge from-layer="770" from-port="1" to-layer="771" to-port="1" />
<edge from-layer="771" from-port="2" to-layer="773" to-port="0" />
<edge from-layer="772" from-port="0" to-layer="773" to-port="1" />
<edge from-layer="773" from-port="2" to-layer="774" to-port="0" />
<edge from-layer="774" from-port="2" to-layer="775" to-port="0" />
<edge from-layer="774" from-port="2" to-layer="822" to-port="1" />
<edge from-layer="775" from-port="1" to-layer="778" to-port="0" />
<edge from-layer="776" from-port="0" to-layer="777" to-port="0" />
<edge from-layer="777" from-port="1" to-layer="778" to-port="1" />
<edge from-layer="778" from-port="2" to-layer="781" to-port="0" />
<edge from-layer="779" from-port="0" to-layer="780" to-port="0" />
<edge from-layer="780" from-port="1" to-layer="781" to-port="1" />
<edge from-layer="781" from-port="2" to-layer="782" to-port="0" />
<edge from-layer="782" from-port="1" to-layer="785" to-port="0" />
<edge from-layer="783" from-port="0" to-layer="784" to-port="0" />
<edge from-layer="784" from-port="1" to-layer="785" to-port="1" />
<edge from-layer="785" from-port="2" to-layer="788" to-port="0" />
<edge from-layer="786" from-port="0" to-layer="787" to-port="0" />
<edge from-layer="787" from-port="1" to-layer="788" to-port="1" />
<edge from-layer="788" from-port="2" to-layer="789" to-port="0" />
<edge from-layer="789" from-port="1" to-layer="792" to-port="0" />
<edge from-layer="790" from-port="0" to-layer="791" to-port="0" />
<edge from-layer="791" from-port="1" to-layer="792" to-port="1" />
<edge from-layer="792" from-port="2" to-layer="795" to-port="0" />
<edge from-layer="793" from-port="0" to-layer="794" to-port="0" />
<edge from-layer="794" from-port="1" to-layer="795" to-port="1" />
<edge from-layer="795" from-port="2" to-layer="796" to-port="0" />
<edge from-layer="796" from-port="1" to-layer="799" to-port="0" />
<edge from-layer="797" from-port="0" to-layer="798" to-port="0" />
<edge from-layer="798" from-port="1" to-layer="799" to-port="1" />
<edge from-layer="799" from-port="2" to-layer="802" to-port="0" />
<edge from-layer="800" from-port="0" to-layer="801" to-port="0" />
<edge from-layer="801" from-port="1" to-layer="802" to-port="1" />
<edge from-layer="802" from-port="2" to-layer="804" to-port="0" />
<edge from-layer="802" from-port="2" to-layer="819" to-port="0" />
<edge from-layer="803" from-port="0" to-layer="804" to-port="1" />
<edge from-layer="804" from-port="2" to-layer="807" to-port="0" />
<edge from-layer="805" from-port="0" to-layer="806" to-port="0" />
<edge from-layer="806" from-port="1" to-layer="807" to-port="1" />
<edge from-layer="807" from-port="2" to-layer="810" to-port="0" />
<edge from-layer="808" from-port="0" to-layer="809" to-port="0" />
<edge from-layer="809" from-port="1" to-layer="810" to-port="1" />
<edge from-layer="810" from-port="2" to-layer="811" to-port="0" />
<edge from-layer="811" from-port="1" to-layer="814" to-port="0" />
<edge from-layer="812" from-port="0" to-layer="813" to-port="0" />
<edge from-layer="813" from-port="1" to-layer="814" to-port="1" />
<edge from-layer="814" from-port="2" to-layer="817" to-port="0" />
<edge from-layer="815" from-port="0" to-layer="816" to-port="0" />
<edge from-layer="816" from-port="1" to-layer="817" to-port="1" />
<edge from-layer="817" from-port="2" to-layer="818" to-port="0" />
<edge from-layer="818" from-port="1" to-layer="819" to-port="1" />
<edge from-layer="819" from-port="2" to-layer="821" to-port="0" />
<edge from-layer="820" from-port="0" to-layer="821" to-port="1" />
<edge from-layer="821" from-port="2" to-layer="822" to-port="0" />
<edge from-layer="822" from-port="2" to-layer="825" to-port="0" />
<edge from-layer="823" from-port="0" to-layer="824" to-port="0" />
<edge from-layer="824" from-port="1" to-layer="825" to-port="1" />
<edge from-layer="825" from-port="2" to-layer="828" to-port="0" />
<edge from-layer="826" from-port="0" to-layer="827" to-port="0" />
<edge from-layer="827" from-port="1" to-layer="828" to-port="1" />
<edge from-layer="828" from-port="2" to-layer="829" to-port="0" />
<edge from-layer="829" from-port="1" to-layer="831" to-port="0" />
<edge from-layer="830" from-port="0" to-layer="831" to-port="1" />
<edge from-layer="831" from-port="2" to-layer="833" to-port="0" />
<edge from-layer="832" from-port="0" to-layer="833" to-port="1" />
<edge from-layer="833" from-port="2" to-layer="835" to-port="0" />
<edge from-layer="834" from-port="0" to-layer="835" to-port="1" />
<edge from-layer="835" from-port="2" to-layer="838" to-port="0" />
<edge from-layer="836" from-port="0" to-layer="837" to-port="0" />
<edge from-layer="837" from-port="1" to-layer="838" to-port="1" />
<edge from-layer="838" from-port="2" to-layer="841" to-port="0" />
<edge from-layer="839" from-port="0" to-layer="840" to-port="0" />
<edge from-layer="840" from-port="1" to-layer="841" to-port="1" />
<edge from-layer="841" from-port="2" to-layer="842" to-port="0" />
</edges>
<rt_info>
<info name="OpenVINO Runtime" value="2026.3.0-22451-8a17657b995-releases/2026/3" />
<Runtime_version value="2026.3.0-22451-8a17657b995-releases/2026/3" />
<conversion_parameters>
<input_model value="DIR\nfnet-f0.onnx" />
<is_python_object value="False" />
</conversion_parameters>
</rt_info>
</net>