pibog_models / aclnet.xml

Upload 146 files

d170e54 verified about 1 month ago

87.5 kB

	<?xml version="1.0"?>
	<net name="torch-jit-export" version="11">
	<layers>
	<layer id="0" name="input" type="Parameter" version="opset1">
	<data shape="1,1,1,16000" element_type="f32" />
	<output>
	<port id="0" precision="FP32" names="input">
	<dim>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>16000</dim>
	<rt_info>
	<attribute name="layout" version="0" layout="[N,C,W,L]" />
	</rt_info>
	</port>
	</output>
	</layer>
	<layer id="1" name="Multiply_3860_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="64, 1, 1, 33" offset="0" size="4224" />
	<output>
	<port id="0" precision="FP16">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>33</dim>
	</port>
	</output>
	</layer>
	<layer id="2" name="Multiply_3860" 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>1</dim>
	<dim>1</dim>
	<dim>33</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>33</dim>
	</port>
	</output>
	</layer>
	<layer id="3" name="Multiply_3718" type="Convolution" version="opset1">
	<data strides="1, 16" dilations="1, 1" pads_begin="0, 16" pads_end="0, 16" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>16000</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>33</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</dim>
	</port>
	</output>
	</layer>
	<layer id="4" name="Constant_3723_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 64, 1, 1" offset="4224" 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="5" name="Constant_3723" 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="6" name="126" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</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="126">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</dim>
	</port>
	</output>
	</layer>
	<layer id="7" name="127" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="127">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</dim>
	</port>
	</output>
	</layer>
	<layer id="8" name="Multiply_3864_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="128, 64, 1, 5" offset="4352" size="81920" />
	<output>
	<port id="0" precision="FP16">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>5</dim>
	</port>
	</output>
	</layer>
	<layer id="9" name="Multiply_3864" 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>1</dim>
	<dim>5</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>5</dim>
	</port>
	</output>
	</layer>
	<layer id="10" name="Multiply_3725" type="Convolution" version="opset1">
	<data strides="1, 2" dilations="1, 1" pads_begin="0, 2" pads_end="0, 2" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1000</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>5</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</dim>
	</port>
	</output>
	</layer>
	<layer id="11" name="Constant_3730_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 128, 1, 1" offset="86272" 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="12" name="Constant_3730" 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="13" name="129" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</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="129">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</dim>
	</port>
	</output>
	</layer>
	<layer id="14" name="130" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="130">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</dim>
	</port>
	</output>
	</layer>
	<layer id="15" name="131" type="MaxPool" version="opset8">
	<data strides="1, 5" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="1, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>500</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="131">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>100</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>100</dim>
	</port>
	</output>
	</layer>
	<layer id="16" name="Constant_135" type="Const" version="opset1">
	<data element_type="i64" shape="4" offset="86528" size="32" />
	<output>
	<port id="0" precision="I64">
	<dim>4</dim>
	</port>
	</output>
	</layer>
	<layer id="17" name="132" type="Transpose" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>100</dim>
	</port>
	<port id="1" precision="I64">
	<dim>4</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="132">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	</output>
	</layer>
	<layer id="18" name="Multiply_3866_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 1, 3, 3" offset="86560" size="18" />
	<output>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="19" name="Multiply_3866" 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>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="20" name="Multiply_3732" 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>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	</output>
	</layer>
	<layer id="21" name="Constant_3737_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 1, 1, 1" offset="86578" 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="22" name="Constant_3737" 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="23" name="134" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</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="134">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	</output>
	</layer>
	<layer id="24" name="135" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="135">
	<dim>1</dim>
	<dim>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	</output>
	</layer>
	<layer id="25" name="Multiply_3870_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="64, 1, 1, 1" offset="86580" size="128" />
	<output>
	<port id="0" precision="FP16">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="26" name="Multiply_3870" 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>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="27" name="Multiply_3739" 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>1</dim>
	<dim>128</dim>
	<dim>100</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</dim>
	</port>
	</output>
	</layer>
	<layer id="28" name="Constant_3744_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 64, 1, 1" offset="86708" 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="29" name="Constant_3744" 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="30" name="137" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</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="137">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</dim>
	</port>
	</output>
	</layer>
	<layer id="31" name="138" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="138">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</dim>
	</port>
	</output>
	</layer>
	<layer id="32" name="139" type="MaxPool" version="opset8">
	<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>130</dim>
	<dim>102</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="139">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	</output>
	</layer>
	<layer id="33" name="Multiply_3874_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="64, 1, 1, 3, 3" offset="86836" size="1152" />
	<output>
	<port id="0" precision="FP16">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="34" name="Multiply_3874" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="35" name="Multiply_3746" 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>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="140">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	</output>
	</layer>
	<layer id="36" name="Constant_3751_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 64, 1, 1" offset="87988" 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="37" name="Constant_3751" 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="38" name="141" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</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="141">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	</output>
	</layer>
	<layer id="39" name="142" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="142">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	</output>
	</layer>
	<layer id="40" name="Multiply_3877_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="128, 64, 1, 1" offset="88116" size="16384" />
	<output>
	<port id="0" precision="FP16">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="41" name="Multiply_3877" 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>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="42" name="Multiply_3753" type="Convolution" version="opset1">
	<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>64</dim>
	<dim>65</dim>
	<dim>51</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>64</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="43" name="Constant_3758_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 128, 1, 1" offset="104500" 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="44" name="Constant_3758" 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="45" name="144" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</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="144">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="46" name="145" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="145">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="47" name="Multiply_3881_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="128, 1, 1, 3, 3" offset="104756" size="2304" />
	<output>
	<port id="0" precision="FP16">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="48" name="Multiply_3881" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="49" name="Multiply_3760" 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>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="146">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="50" name="Constant_3765_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 128, 1, 1" offset="107060" 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="51" name="Constant_3765" 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="52" name="147" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</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="147">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="53" name="148" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="148">
	<dim>1</dim>
	<dim>128</dim>
	<dim>67</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="54" name="Multiply_3884_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="128, 128, 1, 1" offset="107316" size="32768" />
	<output>
	<port id="0" precision="FP16">
	<dim>128</dim>
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="55" name="Multiply_3884" 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="56" name="Multiply_3767" 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>67</dim>
	<dim>53</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>69</dim>
	<dim>55</dim>
	</port>
	</output>
	</layer>
	<layer id="57" name="Constant_3772_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 128, 1, 1" offset="140084" 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="58" name="Constant_3772" 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="59" name="150" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>69</dim>
	<dim>55</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="150">
	<dim>1</dim>
	<dim>128</dim>
	<dim>69</dim>
	<dim>55</dim>
	</port>
	</output>
	</layer>
	<layer id="60" name="151" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>69</dim>
	<dim>55</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="151">
	<dim>1</dim>
	<dim>128</dim>
	<dim>69</dim>
	<dim>55</dim>
	</port>
	</output>
	</layer>
	<layer id="61" name="152" type="MaxPool" version="opset8">
	<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>69</dim>
	<dim>55</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="152">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	</output>
	</layer>
	<layer id="62" name="Multiply_3888_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="128, 1, 1, 3, 3" offset="140340" size="2304" />
	<output>
	<port id="0" precision="FP16">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="63" name="Multiply_3888" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="64" name="Multiply_3774" 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>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>128</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="153">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	</output>
	</layer>
	<layer id="65" name="Constant_3779_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 128, 1, 1" offset="142644" 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="66" name="Constant_3779" 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="67" name="154" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</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="154">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	</output>
	</layer>
	<layer id="68" name="155" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="155">
	<dim>1</dim>
	<dim>128</dim>
	<dim>34</dim>
	<dim>27</dim>
	</port>
	</output>
	</layer>
	<layer id="69" name="Multiply_3891_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="256, 128, 1, 1" offset="142900" 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="70" name="Multiply_3891" 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="71" name="Multiply_3781" 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>34</dim>
	<dim>27</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>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="72" name="Constant_3786_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 256, 1, 1" offset="208436" 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="73" name="Constant_3786" 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="74" name="157" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</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="157">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="75" name="158" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="158">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="76" name="Multiply_3895_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="256, 1, 1, 3, 3" offset="208948" size="4608" />
	<output>
	<port id="0" precision="FP16">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="77" name="Multiply_3895" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="78" name="Multiply_3788" 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>36</dim>
	<dim>29</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="159">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="79" name="Constant_3793_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 256, 1, 1" offset="213556" 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="80" name="Constant_3793" 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="81" name="160" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</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="160">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="82" name="161" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="161">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</dim>
	</port>
	</output>
	</layer>
	<layer id="83" name="Multiply_3898_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="256, 256, 1, 1" offset="214068" size="131072" />
	<output>
	<port id="0" precision="FP16">
	<dim>256</dim>
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="84" name="Multiply_3898" 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="85" name="Multiply_3795" type="Convolution" version="opset1">
	<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>36</dim>
	<dim>29</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>38</dim>
	<dim>31</dim>
	</port>
	</output>
	</layer>
	<layer id="86" name="Constant_3800_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 256, 1, 1" offset="345140" 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="87" name="Constant_3800" 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="88" name="163" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>38</dim>
	<dim>31</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="163">
	<dim>1</dim>
	<dim>256</dim>
	<dim>38</dim>
	<dim>31</dim>
	</port>
	</output>
	</layer>
	<layer id="89" name="164" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>38</dim>
	<dim>31</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="164">
	<dim>1</dim>
	<dim>256</dim>
	<dim>38</dim>
	<dim>31</dim>
	</port>
	</output>
	</layer>
	<layer id="90" name="165" type="MaxPool" version="opset8">
	<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>38</dim>
	<dim>31</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="165">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	</output>
	</layer>
	<layer id="91" name="Multiply_3902_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="256, 1, 1, 3, 3" offset="345652" size="4608" />
	<output>
	<port id="0" precision="FP16">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="92" name="Multiply_3902" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="93" name="Multiply_3802" 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>19</dim>
	<dim>15</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>256</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="166">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	</output>
	</layer>
	<layer id="94" name="Constant_3807_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 256, 1, 1" offset="350260" 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="95" name="Constant_3807" 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="96" name="167" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</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="167">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	</output>
	</layer>
	<layer id="97" name="168" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="168">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</dim>
	</port>
	</output>
	</layer>
	<layer id="98" name="Multiply_3905_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="512, 256, 1, 1" offset="350772" 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="99" name="Multiply_3905" 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="100" name="Multiply_3809" type="Convolution" version="opset1">
	<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>256</dim>
	<dim>19</dim>
	<dim>15</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>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="101" name="Constant_3814_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 512, 1, 1" offset="612916" 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="102" name="Constant_3814" 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="103" name="170" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</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="170">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="104" name="171" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="171">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="105" name="Multiply_3909_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="512, 1, 1, 3, 3" offset="613940" size="9216" />
	<output>
	<port id="0" precision="FP16">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="106" name="Multiply_3909" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="107" name="Multiply_3816" 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>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="172">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="108" name="Constant_3821_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 512, 1, 1" offset="623156" 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="109" name="Constant_3821" 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="110" name="173" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</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="173">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="111" name="174" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="174">
	<dim>1</dim>
	<dim>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	</output>
	</layer>
	<layer id="112" name="Multiply_3912_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="512, 512, 1, 1" offset="624180" size="524288" />
	<output>
	<port id="0" precision="FP16">
	<dim>512</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="113" name="Multiply_3912" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>512</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="114" name="Multiply_3823" 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>512</dim>
	<dim>21</dim>
	<dim>17</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</dim>
	</port>
	</output>
	</layer>
	<layer id="115" name="Constant_3828_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 512, 1, 1" offset="1148468" 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="116" name="Constant_3828" 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="117" name="176" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</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="176">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</dim>
	</port>
	</output>
	</layer>
	<layer id="118" name="177" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="177">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</dim>
	</port>
	</output>
	</layer>
	<layer id="119" name="178" type="MaxPool" version="opset8">
	<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>23</dim>
	<dim>19</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="178">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	</output>
	</layer>
	<layer id="120" name="Multiply_3916_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="512, 1, 1, 3, 3" offset="1149492" size="9216" />
	<output>
	<port id="0" precision="FP16">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="121" name="Multiply_3916" 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>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="122" name="Multiply_3830" 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>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="179">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	</output>
	</layer>
	<layer id="123" name="Constant_3835_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 512, 1, 1" offset="1158708" 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="124" name="Constant_3835" 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="125" name="180" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</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="180">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	</output>
	</layer>
	<layer id="126" name="181" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="181">
	<dim>1</dim>
	<dim>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	</output>
	</layer>
	<layer id="127" name="Multiply_3919_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1024, 512, 1, 1" offset="1159732" size="1048576" />
	<output>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="128" name="Multiply_3919" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="129" name="Multiply_3837" 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>512</dim>
	<dim>11</dim>
	<dim>9</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="130" name="Constant_3842_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 1024, 1, 1" offset="2208308" size="2048" />
	<output>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="131" name="Constant_3842" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="132" name="183" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="183">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="133" name="184" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="184">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="134" name="Multiply_3923_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1024, 1, 1, 3, 3" offset="2210356" size="18432" />
	<output>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="135" name="Multiply_3923" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</output>
	</layer>
	<layer id="136" name="Multiply_3844" 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>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	<dim>3</dim>
	<dim>3</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="185">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="137" name="Constant_3849_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 1024, 1, 1" offset="2228788" size="2048" />
	<output>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="138" name="Constant_3849" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="139" name="186" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="186">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="140" name="187" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="187">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	</output>
	</layer>
	<layer id="141" name="Multiply_3926_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1024, 1024, 1, 1" offset="2230836" size="2097152" />
	<output>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="142" name="Multiply_3926" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1024</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="143" name="Multiply_3851" 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>1024</dim>
	<dim>13</dim>
	<dim>11</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1024</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	</output>
	</layer>
	<layer id="144" name="Constant_3856_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 1024, 1, 1" offset="4327988" size="2048" />
	<output>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="145" name="Constant_3856" type="Convert" version="opset1">
	<data destination_type="f32" />
	<rt_info>
	<attribute name="decompression" version="0" />
	</rt_info>
	<input>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="146" name="189" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="189">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	</output>
	</layer>
	<layer id="147" name="190" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="190">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	</output>
	</layer>
	<layer id="148" name="191" type="MaxPool" version="opset8">
	<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>15</dim>
	<dim>13</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="191">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	<port id="2" precision="I64">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	</output>
	</layer>
	<layer id="149" name="high_level_features.14.weight_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="512, 1024, 1, 1" offset="4330036" size="1048576" />
	<output>
	<port id="0" precision="FP16">
	<dim>512</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="150" name="high_level_features.14.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>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="high_level_features.14.weight">
	<dim>512</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="151" name="192/WithoutBiases" type="Convolution" version="opset1">
	<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>1024</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>512</dim>
	<dim>1024</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	</output>
	</layer>
	<layer id="152" name="Reshape_593_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 512, 1, 1" offset="5378612" 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="153" name="Reshape_593" 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="154" name="192" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>7</dim>
	<dim>6</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="192">
	<dim>1</dim>
	<dim>512</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	</output>
	</layer>
	<layer id="155" name="Range_601" type="Const" version="opset1">
	<data element_type="i64" shape="2" offset="5379636" size="16" />
	<output>
	<port id="0" precision="I64">
	<dim>2</dim>
	</port>
	</output>
	</layer>
	<layer id="156" name="193" type="ReduceMean" version="opset1">
	<data keep_dims="true" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	<dim>7</dim>
	<dim>6</dim>
	</port>
	<port id="1" precision="I64">
	<dim>2</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="193">
	<dim>1</dim>
	<dim>512</dim>
	<dim>1</dim>
	<dim>1</dim>
	</port>
	</output>
	</layer>
	<layer id="157" name="200" type="Const" version="opset1">
	<data element_type="i64" shape="2" offset="5379652" size="16" />
	<rt_info>
	<attribute name="precise" version="0" />
	</rt_info>
	<output>
	<port id="0" precision="I64">
	<dim>2</dim>
	</port>
	</output>
	</layer>
	<layer id="158" name="201" type="Reshape" version="opset1">
	<data special_zero="true" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</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="201">
	<dim>1</dim>
	<dim>512</dim>
	</port>
	</output>
	</layer>
	<layer id="159" name="202" type="ReLU" version="opset1">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="202">
	<dim>1</dim>
	<dim>512</dim>
	</port>
	</output>
	</layer>
	<layer id="160" name="classifier.2.weight_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="53, 512" offset="5379668" size="54272" />
	<output>
	<port id="0" precision="FP16">
	<dim>53</dim>
	<dim>512</dim>
	</port>
	</output>
	</layer>
	<layer id="161" name="classifier.2.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>53</dim>
	<dim>512</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="classifier.2.weight">
	<dim>53</dim>
	<dim>512</dim>
	</port>
	</output>
	</layer>
	<layer id="162" name="203/WithoutBiases" type="MatMul" version="opset1">
	<data transpose_a="false" transpose_b="true" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>512</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>53</dim>
	<dim>512</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="163" name="Constant_3995_compressed" type="Const" version="opset1">
	<data element_type="f16" shape="1, 53" offset="5433940" size="106" />
	<output>
	<port id="0" precision="FP16">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="164" name="Constant_3995" 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>53</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="165" name="203" type="Add" version="opset1">
	<data auto_broadcast="numpy" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	<port id="1" precision="FP32">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</input>
	<output>
	<port id="2" precision="FP32" names="203">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="166" name="output" type="SoftMax" version="opset8">
	<data axis="1" />
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</input>
	<output>
	<port id="1" precision="FP32" names="output">
	<dim>1</dim>
	<dim>53</dim>
	</port>
	</output>
	</layer>
	<layer id="167" name="output/sink_port_0" type="Result" version="opset1" output_names="output">
	<input>
	<port id="0" precision="FP32">
	<dim>1</dim>
	<dim>53</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="15" to-port="0" />
	<edge from-layer="15" from-port="1" to-layer="17" to-port="0" />
	<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
	<edge from-layer="17" from-port="2" to-layer="20" to-port="0" />
	<edge from-layer="18" from-port="0" to-layer="19" to-port="0" />
	<edge from-layer="19" from-port="1" to-layer="20" to-port="1" />
	<edge from-layer="20" from-port="2" to-layer="23" to-port="0" />
	<edge from-layer="21" from-port="0" to-layer="22" to-port="0" />
	<edge from-layer="22" from-port="1" to-layer="23" to-port="1" />
	<edge from-layer="23" from-port="2" to-layer="24" to-port="0" />
	<edge from-layer="24" from-port="1" to-layer="27" to-port="0" />
	<edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
	<edge from-layer="26" from-port="1" to-layer="27" to-port="1" />
	<edge from-layer="27" from-port="2" to-layer="30" to-port="0" />
	<edge from-layer="28" from-port="0" to-layer="29" to-port="0" />
	<edge from-layer="29" from-port="1" to-layer="30" to-port="1" />
	<edge from-layer="30" from-port="2" to-layer="31" to-port="0" />
	<edge from-layer="31" from-port="1" to-layer="32" to-port="0" />
	<edge from-layer="32" from-port="1" to-layer="35" to-port="0" />
	<edge from-layer="33" from-port="0" to-layer="34" to-port="0" />
	<edge from-layer="34" from-port="1" to-layer="35" to-port="1" />
	<edge from-layer="35" from-port="2" to-layer="38" to-port="0" />
	<edge from-layer="36" from-port="0" to-layer="37" to-port="0" />
	<edge from-layer="37" from-port="1" to-layer="38" to-port="1" />
	<edge from-layer="38" from-port="2" to-layer="39" to-port="0" />
	<edge from-layer="39" from-port="1" to-layer="42" to-port="0" />
	<edge from-layer="40" from-port="0" to-layer="41" to-port="0" />
	<edge from-layer="41" from-port="1" to-layer="42" to-port="1" />
	<edge from-layer="42" from-port="2" to-layer="45" to-port="0" />
	<edge from-layer="43" from-port="0" to-layer="44" to-port="0" />
	<edge from-layer="44" from-port="1" to-layer="45" to-port="1" />
	<edge from-layer="45" from-port="2" to-layer="46" to-port="0" />
	<edge from-layer="46" from-port="1" to-layer="49" to-port="0" />
	<edge from-layer="47" from-port="0" to-layer="48" to-port="0" />
	<edge from-layer="48" from-port="1" to-layer="49" to-port="1" />
	<edge from-layer="49" from-port="2" to-layer="52" to-port="0" />
	<edge from-layer="50" from-port="0" to-layer="51" to-port="0" />
	<edge from-layer="51" from-port="1" to-layer="52" to-port="1" />
	<edge from-layer="52" from-port="2" to-layer="53" to-port="0" />
	<edge from-layer="53" from-port="1" to-layer="56" to-port="0" />
	<edge from-layer="54" from-port="0" to-layer="55" to-port="0" />
	<edge from-layer="55" from-port="1" to-layer="56" to-port="1" />
	<edge from-layer="56" from-port="2" to-layer="59" to-port="0" />
	<edge from-layer="57" from-port="0" to-layer="58" to-port="0" />
	<edge from-layer="58" from-port="1" to-layer="59" to-port="1" />
	<edge from-layer="59" from-port="2" to-layer="60" to-port="0" />
	<edge from-layer="60" from-port="1" to-layer="61" to-port="0" />
	<edge from-layer="61" from-port="1" to-layer="64" to-port="0" />
	<edge from-layer="62" from-port="0" to-layer="63" to-port="0" />
	<edge from-layer="63" from-port="1" to-layer="64" to-port="1" />
	<edge from-layer="64" from-port="2" to-layer="67" to-port="0" />
	<edge from-layer="65" from-port="0" to-layer="66" to-port="0" />
	<edge from-layer="66" from-port="1" to-layer="67" to-port="1" />
	<edge from-layer="67" from-port="2" to-layer="68" to-port="0" />
	<edge from-layer="68" from-port="1" to-layer="71" to-port="0" />
	<edge from-layer="69" from-port="0" to-layer="70" to-port="0" />
	<edge from-layer="70" from-port="1" to-layer="71" to-port="1" />
	<edge from-layer="71" from-port="2" to-layer="74" to-port="0" />
	<edge from-layer="72" from-port="0" to-layer="73" to-port="0" />
	<edge from-layer="73" from-port="1" to-layer="74" to-port="1" />
	<edge from-layer="74" from-port="2" to-layer="75" to-port="0" />
	<edge from-layer="75" from-port="1" to-layer="78" 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="90" to-port="0" />
	<edge from-layer="90" from-port="1" to-layer="93" to-port="0" />
	<edge from-layer="91" from-port="0" to-layer="92" to-port="0" />
	<edge from-layer="92" from-port="1" to-layer="93" to-port="1" />
	<edge from-layer="93" from-port="2" to-layer="96" to-port="0" />
	<edge from-layer="94" from-port="0" to-layer="95" to-port="0" />
	<edge from-layer="95" from-port="1" to-layer="96" to-port="1" />
	<edge from-layer="96" from-port="2" to-layer="97" to-port="0" />
	<edge from-layer="97" from-port="1" to-layer="100" to-port="0" />
	<edge from-layer="98" from-port="0" to-layer="99" to-port="0" />
	<edge from-layer="99" from-port="1" to-layer="100" to-port="1" />
	<edge from-layer="100" from-port="2" to-layer="103" to-port="0" />
	<edge from-layer="101" from-port="0" to-layer="102" to-port="0" />
	<edge from-layer="102" from-port="1" to-layer="103" to-port="1" />
	<edge from-layer="103" from-port="2" to-layer="104" to-port="0" />
	<edge from-layer="104" from-port="1" to-layer="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="0" />
	<edge from-layer="119" from-port="1" to-layer="122" to-port="0" />
	<edge from-layer="120" from-port="0" to-layer="121" to-port="0" />
	<edge from-layer="121" from-port="1" to-layer="122" to-port="1" />
	<edge from-layer="122" from-port="2" to-layer="125" to-port="0" />
	<edge from-layer="123" from-port="0" to-layer="124" to-port="0" />
	<edge from-layer="124" from-port="1" to-layer="125" to-port="1" />
	<edge from-layer="125" from-port="2" to-layer="126" to-port="0" />
	<edge from-layer="126" from-port="1" to-layer="129" to-port="0" />
	<edge from-layer="127" from-port="0" to-layer="128" to-port="0" />
	<edge from-layer="128" from-port="1" to-layer="129" to-port="1" />
	<edge from-layer="129" from-port="2" to-layer="132" to-port="0" />
	<edge from-layer="130" from-port="0" to-layer="131" to-port="0" />
	<edge from-layer="131" from-port="1" to-layer="132" to-port="1" />
	<edge from-layer="132" from-port="2" to-layer="133" to-port="0" />
	<edge from-layer="133" from-port="1" to-layer="136" to-port="0" />
	<edge from-layer="134" from-port="0" to-layer="135" to-port="0" />
	<edge from-layer="135" from-port="1" to-layer="136" to-port="1" />
	<edge from-layer="136" from-port="2" to-layer="139" to-port="0" />
	<edge from-layer="137" from-port="0" to-layer="138" to-port="0" />
	<edge from-layer="138" from-port="1" to-layer="139" to-port="1" />
	<edge from-layer="139" from-port="2" to-layer="140" to-port="0" />
	<edge from-layer="140" from-port="1" to-layer="143" to-port="0" />
	<edge from-layer="141" from-port="0" to-layer="142" to-port="0" />
	<edge from-layer="142" from-port="1" to-layer="143" to-port="1" />
	<edge from-layer="143" from-port="2" to-layer="146" to-port="0" />
	<edge from-layer="144" from-port="0" to-layer="145" to-port="0" />
	<edge from-layer="145" from-port="1" to-layer="146" to-port="1" />
	<edge from-layer="146" from-port="2" to-layer="147" to-port="0" />
	<edge from-layer="147" from-port="1" to-layer="148" to-port="0" />
	<edge from-layer="148" from-port="1" to-layer="151" to-port="0" />
	<edge from-layer="149" from-port="0" to-layer="150" to-port="0" />
	<edge from-layer="150" from-port="1" to-layer="151" to-port="1" />
	<edge from-layer="151" from-port="2" to-layer="154" to-port="0" />
	<edge from-layer="152" from-port="0" to-layer="153" to-port="0" />
	<edge from-layer="153" from-port="1" to-layer="154" to-port="1" />
	<edge from-layer="154" from-port="2" to-layer="156" to-port="0" />
	<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
	<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
	<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
	<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
	<edge from-layer="159" from-port="1" to-layer="162" to-port="0" />
	<edge from-layer="160" from-port="0" to-layer="161" to-port="0" />
	<edge from-layer="161" from-port="1" to-layer="162" to-port="1" />
	<edge from-layer="162" from-port="2" to-layer="165" to-port="0" />
	<edge from-layer="163" from-port="0" to-layer="164" to-port="0" />
	<edge from-layer="164" from-port="1" to-layer="165" to-port="1" />
	<edge from-layer="165" from-port="2" to-layer="166" to-port="0" />
	<edge from-layer="166" from-port="1" to-layer="167" to-port="0" />
	</edges>
	<rt_info>
	<MO_version value="2024.6.0-17404-4c0f47d2335-releases/2024/6" />
	<Runtime_version value="2025.3.0-19807-44526285f24-releases/2025/3" />
	<conversion_parameters>
	<framework value="onnx" />
	<input value="input" />
	<input_model value="DIR/aclnet_des_53.onnx" />
	<input_shape value="[1, 1, 1, 16000]" />
	<is_python_api_used value="False" />
	<layout value="input(NCWL)" />
	<model_name value="aclnet" />
	<output value="output" />
	<output_dir value="/home/picore/public/aclnet/FP16" />
	</conversion_parameters>
	<legacy_frontend value="False" />
	</rt_info>
	</net>