vae_encoder/openvino_model.xml

<?xml version="1.0"?>
<net name="Model0" version="11">
	<layers>
		<layer id="0" name="sample" type="Parameter" version="opset1">
			<data shape="?,?,?,?" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="sample">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="Constant_4444_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1, 1, 1" offset="0" 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="2" name="Constant_4444" 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="3" name="__module.vae.encoder/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</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="16">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Constant_4445_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1, 1, 1" offset="2" 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="5" name="Constant_4445" 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="6" name="__module.vae.encoder/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</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="17,input.1">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="self.vae.encoder.layers.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 3, 3, 3" offset="4" size="3456" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.0.weight">
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="self.vae.encoder.layers.0.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>64</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="__module.vae.encoder.layers.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="__module.vae.encoder.layers.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="3460" 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="11" name="__module.vae.encoder.layers.0/aten::_convolution/Reshape" 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="12" name="__module.vae.encoder.layers.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="39,input.3">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="self.vae.encoder.layers.1.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="3588" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.1.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="self.vae.encoder.layers.1.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="__module.vae.encoder.layers.1.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="__module.vae.encoder.layers.1.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="77316" 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="17" name="__module.vae.encoder.layers.1.conv.0/aten::_convolution/Reshape" 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="18" name="__module.vae.encoder.layers.1.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="53,input.5">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="19" name="__module.vae.encoder.layers.1.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="54,input.7">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="self.vae.encoder.layers.1.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="77444" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.1.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="self.vae.encoder.layers.1.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="__module.vae.encoder.layers.1.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="__module.vae.encoder.layers.1.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="151172" 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="24" name="__module.vae.encoder.layers.1.conv.2/aten::_convolution/Reshape" 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="25" name="__module.vae.encoder.layers.1.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="61,input.9">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="__module.vae.encoder.layers.1.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="62,input.11">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="self.vae.encoder.layers.1.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="151300" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.1.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="self.vae.encoder.layers.1.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="__module.vae.encoder.layers.1.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="__module.vae.encoder.layers.1.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="225028" 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="31" name="__module.vae.encoder.layers.1.conv.4/aten::_convolution/Reshape" 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="32" name="__module.vae.encoder.layers.1.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="69">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="__module.vae.encoder.layers.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="70,input.13">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="__module.vae.encoder.layers.1.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="71,input.15">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="self.vae.encoder.layers.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="225156" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="self.vae.encoder.layers.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="__module.vae.encoder.layers.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="77,input.17">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="self.vae.encoder.layers.3.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="298884" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.3.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="self.vae.encoder.layers.3.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="__module.vae.encoder.layers.3.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="__module.vae.encoder.layers.3.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="372612" 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="42" name="__module.vae.encoder.layers.3.conv.0/aten::_convolution/Reshape" 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="43" name="__module.vae.encoder.layers.3.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="91,input.19">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="__module.vae.encoder.layers.3.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="92,input.21">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="self.vae.encoder.layers.3.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="372740" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.3.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="self.vae.encoder.layers.3.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="__module.vae.encoder.layers.3.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="__module.vae.encoder.layers.3.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="446468" 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="49" name="__module.vae.encoder.layers.3.conv.2/aten::_convolution/Reshape" 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="50" name="__module.vae.encoder.layers.3.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="99,input.23">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="__module.vae.encoder.layers.3.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="100,input.25">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="self.vae.encoder.layers.3.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="446596" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.3.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="self.vae.encoder.layers.3.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="__module.vae.encoder.layers.3.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="__module.vae.encoder.layers.3.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="520324" 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="56" name="__module.vae.encoder.layers.3.conv.4/aten::_convolution/Reshape" 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="57" name="__module.vae.encoder.layers.3.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="107">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="58" name="__module.vae.encoder.layers.3/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="108,input.27">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="__module.vae.encoder.layers.3.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="109,input.29">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="self.vae.encoder.layers.4.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="520452" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.4.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="self.vae.encoder.layers.4.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="__module.vae.encoder.layers.4.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="__module.vae.encoder.layers.4.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="594180" 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="64" name="__module.vae.encoder.layers.4.conv.0/aten::_convolution/Reshape" 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="65" name="__module.vae.encoder.layers.4.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="123,input.31">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="__module.vae.encoder.layers.4.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="124,input.33">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="self.vae.encoder.layers.4.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="594308" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.4.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="self.vae.encoder.layers.4.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="__module.vae.encoder.layers.4.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="__module.vae.encoder.layers.4.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="668036" 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="71" name="__module.vae.encoder.layers.4.conv.2/aten::_convolution/Reshape" 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="72" name="__module.vae.encoder.layers.4.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="131,input.35">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="__module.vae.encoder.layers.4.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="132,input.37">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="74" name="self.vae.encoder.layers.4.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="668164" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.4.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="self.vae.encoder.layers.4.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="__module.vae.encoder.layers.4.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="__module.vae.encoder.layers.4.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="741892" 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="78" name="__module.vae.encoder.layers.4.conv.4/aten::_convolution/Reshape" 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="79" name="__module.vae.encoder.layers.4.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="139">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="__module.vae.encoder.layers.4/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="140,input.39">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="__module.vae.encoder.layers.4.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="141,input.41">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="self.vae.encoder.layers.5.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="742020" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.5.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="self.vae.encoder.layers.5.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="__module.vae.encoder.layers.5.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="__module.vae.encoder.layers.5.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="815748" 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="86" name="__module.vae.encoder.layers.5.conv.0/aten::_convolution/Reshape" 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="87" name="__module.vae.encoder.layers.5.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="155,input.43">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="__module.vae.encoder.layers.5.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="156,input.45">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="self.vae.encoder.layers.5.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="815876" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.5.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="self.vae.encoder.layers.5.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="__module.vae.encoder.layers.5.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="__module.vae.encoder.layers.5.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="889604" 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="93" name="__module.vae.encoder.layers.5.conv.2/aten::_convolution/Reshape" 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="94" name="__module.vae.encoder.layers.5.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="163,input.47">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="__module.vae.encoder.layers.5.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="164,input.49">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="self.vae.encoder.layers.5.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="889732" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.5.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="self.vae.encoder.layers.5.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="__module.vae.encoder.layers.5.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="99" name="__module.vae.encoder.layers.5.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="963460" 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="100" name="__module.vae.encoder.layers.5.conv.4/aten::_convolution/Reshape" 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="101" name="__module.vae.encoder.layers.5.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="171">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="__module.vae.encoder.layers.5/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="172,input.51">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="__module.vae.encoder.layers.5.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="173,input.53">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="self.vae.encoder.layers.6.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="963588" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.6.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="105" name="self.vae.encoder.layers.6.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="__module.vae.encoder.layers.6/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="179,input.55">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="self.vae.encoder.layers.7.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1037316" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.7.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="108" name="self.vae.encoder.layers.7.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="109" name="__module.vae.encoder.layers.7.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="110" name="__module.vae.encoder.layers.7.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1111044" 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="111" name="__module.vae.encoder.layers.7.conv.0/aten::_convolution/Reshape" 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="112" name="__module.vae.encoder.layers.7.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="193,input.57">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="__module.vae.encoder.layers.7.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="194,input.59">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="self.vae.encoder.layers.7.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1111172" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.7.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="self.vae.encoder.layers.7.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="__module.vae.encoder.layers.7.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="__module.vae.encoder.layers.7.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1184900" 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="118" name="__module.vae.encoder.layers.7.conv.2/aten::_convolution/Reshape" 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="119" name="__module.vae.encoder.layers.7.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="201,input.61">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="__module.vae.encoder.layers.7.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="202,input.63">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="121" name="self.vae.encoder.layers.7.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1185028" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.7.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="122" name="self.vae.encoder.layers.7.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="123" name="__module.vae.encoder.layers.7.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="__module.vae.encoder.layers.7.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1258756" 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="125" name="__module.vae.encoder.layers.7.conv.4/aten::_convolution/Reshape" 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="126" name="__module.vae.encoder.layers.7.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="209">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="__module.vae.encoder.layers.7/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="210,input.65">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="__module.vae.encoder.layers.7.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="211,input.67">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="self.vae.encoder.layers.8.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1258884" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.8.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="self.vae.encoder.layers.8.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="__module.vae.encoder.layers.8.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="__module.vae.encoder.layers.8.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1332612" 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="133" name="__module.vae.encoder.layers.8.conv.0/aten::_convolution/Reshape" 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="134" name="__module.vae.encoder.layers.8.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="225,input.69">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="__module.vae.encoder.layers.8.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="226,input.71">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="self.vae.encoder.layers.8.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1332740" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.8.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="self.vae.encoder.layers.8.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="138" name="__module.vae.encoder.layers.8.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="__module.vae.encoder.layers.8.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1406468" 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="140" name="__module.vae.encoder.layers.8.conv.2/aten::_convolution/Reshape" 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="141" name="__module.vae.encoder.layers.8.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="233,input.73">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="142" name="__module.vae.encoder.layers.8.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="234,input.75">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="self.vae.encoder.layers.8.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1406596" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.8.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="self.vae.encoder.layers.8.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="__module.vae.encoder.layers.8.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="__module.vae.encoder.layers.8.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1480324" 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="147" name="__module.vae.encoder.layers.8.conv.4/aten::_convolution/Reshape" 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="148" name="__module.vae.encoder.layers.8.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="241">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="__module.vae.encoder.layers.8/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="242,input.77">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="__module.vae.encoder.layers.8.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="243,input.79">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="self.vae.encoder.layers.9.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1480452" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.9.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="self.vae.encoder.layers.9.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="__module.vae.encoder.layers.9.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="__module.vae.encoder.layers.9.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1554180" 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="155" name="__module.vae.encoder.layers.9.conv.0/aten::_convolution/Reshape" 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="156" name="__module.vae.encoder.layers.9.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="257,input.81">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="__module.vae.encoder.layers.9.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="258,input.83">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="self.vae.encoder.layers.9.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1554308" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.9.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="self.vae.encoder.layers.9.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="__module.vae.encoder.layers.9.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="__module.vae.encoder.layers.9.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1628036" 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="162" name="__module.vae.encoder.layers.9.conv.2/aten::_convolution/Reshape" 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="163" name="__module.vae.encoder.layers.9.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="265,input.85">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="__module.vae.encoder.layers.9.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="266,input.87">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="self.vae.encoder.layers.9.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1628164" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.9.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="self.vae.encoder.layers.9.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="__module.vae.encoder.layers.9.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="__module.vae.encoder.layers.9.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1701892" 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="169" name="__module.vae.encoder.layers.9.conv.4/aten::_convolution/Reshape" 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="170" name="__module.vae.encoder.layers.9.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="273">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="__module.vae.encoder.layers.9/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="274,input.89">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="__module.vae.encoder.layers.9.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="275,input.91">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="173" name="self.vae.encoder.layers.10.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1702020" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.10.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="self.vae.encoder.layers.10.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="__module.vae.encoder.layers.10/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="281,input.93">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="self.vae.encoder.layers.11.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1775748" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.11.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="self.vae.encoder.layers.11.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="178" name="__module.vae.encoder.layers.11.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="__module.vae.encoder.layers.11.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1849476" 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="180" name="__module.vae.encoder.layers.11.conv.0/aten::_convolution/Reshape" 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="181" name="__module.vae.encoder.layers.11.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="295,input.95">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="__module.vae.encoder.layers.11.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="296,input.97">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="self.vae.encoder.layers.11.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1849604" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.11.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="self.vae.encoder.layers.11.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="__module.vae.encoder.layers.11.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="__module.vae.encoder.layers.11.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1923332" 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="187" name="__module.vae.encoder.layers.11.conv.2/aten::_convolution/Reshape" 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="188" name="__module.vae.encoder.layers.11.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="303,input.99">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="__module.vae.encoder.layers.11.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="304,input.101">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="self.vae.encoder.layers.11.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1923460" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.11.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="self.vae.encoder.layers.11.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="__module.vae.encoder.layers.11.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="__module.vae.encoder.layers.11.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="1997188" 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="194" name="__module.vae.encoder.layers.11.conv.4/aten::_convolution/Reshape" 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="195" name="__module.vae.encoder.layers.11.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="311">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="__module.vae.encoder.layers.11/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="312,input.103">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="__module.vae.encoder.layers.11.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="313,input.105">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="self.vae.encoder.layers.12.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="1997316" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.12.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="self.vae.encoder.layers.12.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="__module.vae.encoder.layers.12.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="201" name="__module.vae.encoder.layers.12.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2071044" 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="202" name="__module.vae.encoder.layers.12.conv.0/aten::_convolution/Reshape" 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="203" name="__module.vae.encoder.layers.12.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="327,input.107">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="__module.vae.encoder.layers.12.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="328,input.109">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="self.vae.encoder.layers.12.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2071172" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.12.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="self.vae.encoder.layers.12.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="__module.vae.encoder.layers.12.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="__module.vae.encoder.layers.12.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2144900" 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="209" name="__module.vae.encoder.layers.12.conv.2/aten::_convolution/Reshape" 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="210" name="__module.vae.encoder.layers.12.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="335,input.111">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="__module.vae.encoder.layers.12.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="336,input.113">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="self.vae.encoder.layers.12.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2145028" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.12.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="self.vae.encoder.layers.12.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="__module.vae.encoder.layers.12.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="__module.vae.encoder.layers.12.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2218756" 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="216" name="__module.vae.encoder.layers.12.conv.4/aten::_convolution/Reshape" 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="217" name="__module.vae.encoder.layers.12.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="343">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="__module.vae.encoder.layers.12/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="344,input.115">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="219" name="__module.vae.encoder.layers.12.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="345,input.117">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="220" name="self.vae.encoder.layers.13.conv.0.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2218884" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.13.conv.0.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="221" name="self.vae.encoder.layers.13.conv.0.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="222" name="__module.vae.encoder.layers.13.conv.0/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="__module.vae.encoder.layers.13.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2292612" 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="224" name="__module.vae.encoder.layers.13.conv.0/aten::_convolution/Reshape" 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="225" name="__module.vae.encoder.layers.13.conv.0/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="359,input.119">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="__module.vae.encoder.layers.13.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="360,input.121">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="227" name="self.vae.encoder.layers.13.conv.2.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2292740" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.13.conv.2.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="self.vae.encoder.layers.13.conv.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="__module.vae.encoder.layers.13.conv.2/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="__module.vae.encoder.layers.13.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2366468" 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="231" name="__module.vae.encoder.layers.13.conv.2/aten::_convolution/Reshape" 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="232" name="__module.vae.encoder.layers.13.conv.2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="367,input.123">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="233" name="__module.vae.encoder.layers.13.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="368,input.125">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="self.vae.encoder.layers.13.conv.4.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="64, 64, 3, 3" offset="2366596" size="73728" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.13.conv.4.weight">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="self.vae.encoder.layers.13.conv.4.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>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="236" name="__module.vae.encoder.layers.13.conv.4/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>64</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="__module.vae.encoder.layers.13.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 64, 1, 1" offset="2440324" 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="238" name="__module.vae.encoder.layers.13.conv.4/aten::_convolution/Reshape" 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="239" name="__module.vae.encoder.layers.13.conv.4/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="375">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="__module.vae.encoder.layers.13/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</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="376,input.127">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="241" name="__module.vae.encoder.layers.13.fuse/aten::relu/Relu" type="ReLU" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="377,input">
					<dim>-1</dim>
					<dim>64</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="242" name="self.vae.encoder.layers.14.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="16, 64, 3, 3" offset="2440452" size="18432" />
			<output>
				<port id="0" precision="FP16" names="self.vae.encoder.layers.14.weight">
					<dim>16</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="243" name="self.vae.encoder.layers.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>16</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="244" name="__module.vae.encoder.layers.14/aten::_convolution/Convolution" 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>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>64</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="__module.vae.encoder.layers.14/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 16, 1, 1" offset="2458884" 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="246" name="__module.vae.encoder.layers.14/aten::_convolution/Reshape" 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="247" name="__module.vae.encoder.layers.14/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</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="latent_sample">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="248" name="Result_1686" type="Result" version="opset1" output_names="latent_sample">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</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="9" to-port="0" />
		<edge from-layer="7" from-port="0" to-layer="8" to-port="0" />
		<edge from-layer="8" from-port="1" to-layer="9" to-port="1" />
		<edge from-layer="9" from-port="2" to-layer="12" to-port="0" />
		<edge from-layer="10" from-port="0" to-layer="11" to-port="0" />
		<edge from-layer="11" from-port="1" to-layer="12" to-port="1" />
		<edge from-layer="12" from-port="2" to-layer="33" to-port="1" />
		<edge from-layer="12" from-port="2" to-layer="15" to-port="0" />
		<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
		<edge from-layer="14" from-port="1" to-layer="15" to-port="1" />
		<edge from-layer="15" from-port="2" to-layer="18" to-port="0" />
		<edge from-layer="16" from-port="0" to-layer="17" to-port="0" />
		<edge from-layer="17" from-port="1" to-layer="18" to-port="1" />
		<edge from-layer="18" from-port="2" to-layer="19" to-port="0" />
		<edge from-layer="19" from-port="1" to-layer="22" to-port="0" />
		<edge from-layer="20" from-port="0" to-layer="21" to-port="0" />
		<edge from-layer="21" from-port="1" to-layer="22" to-port="1" />
		<edge from-layer="22" from-port="2" to-layer="25" to-port="0" />
		<edge from-layer="23" from-port="0" to-layer="24" to-port="0" />
		<edge from-layer="24" from-port="1" to-layer="25" to-port="1" />
		<edge from-layer="25" from-port="2" to-layer="26" to-port="0" />
		<edge from-layer="26" from-port="1" to-layer="29" to-port="0" />
		<edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
		<edge from-layer="28" from-port="1" to-layer="29" to-port="1" />
		<edge from-layer="29" from-port="2" to-layer="32" to-port="0" />
		<edge from-layer="30" from-port="0" to-layer="31" to-port="0" />
		<edge from-layer="31" from-port="1" to-layer="32" to-port="1" />
		<edge from-layer="32" from-port="2" to-layer="33" to-port="0" />
		<edge from-layer="33" from-port="2" to-layer="34" to-port="0" />
		<edge from-layer="34" from-port="1" to-layer="37" to-port="0" />
		<edge from-layer="35" from-port="0" to-layer="36" to-port="0" />
		<edge from-layer="36" from-port="1" to-layer="37" to-port="1" />
		<edge from-layer="37" from-port="2" to-layer="40" to-port="0" />
		<edge from-layer="37" from-port="2" to-layer="58" to-port="1" />
		<edge from-layer="38" from-port="0" to-layer="39" to-port="0" />
		<edge from-layer="39" from-port="1" to-layer="40" to-port="1" />
		<edge from-layer="40" from-port="2" to-layer="43" to-port="0" />
		<edge from-layer="41" from-port="0" to-layer="42" to-port="0" />
		<edge from-layer="42" from-port="1" to-layer="43" to-port="1" />
		<edge from-layer="43" from-port="2" to-layer="44" to-port="0" />
		<edge from-layer="44" from-port="1" to-layer="47" to-port="0" />
		<edge from-layer="45" from-port="0" to-layer="46" to-port="0" />
		<edge from-layer="46" from-port="1" to-layer="47" to-port="1" />
		<edge from-layer="47" from-port="2" to-layer="50" to-port="0" />
		<edge from-layer="48" from-port="0" to-layer="49" to-port="0" />
		<edge from-layer="49" from-port="1" to-layer="50" to-port="1" />
		<edge from-layer="50" from-port="2" to-layer="51" to-port="0" />
		<edge from-layer="51" from-port="1" to-layer="54" to-port="0" />
		<edge from-layer="52" from-port="0" to-layer="53" to-port="0" />
		<edge from-layer="53" from-port="1" to-layer="54" to-port="1" />
		<edge from-layer="54" from-port="2" to-layer="57" to-port="0" />
		<edge from-layer="55" from-port="0" to-layer="56" to-port="0" />
		<edge from-layer="56" from-port="1" to-layer="57" to-port="1" />
		<edge from-layer="57" from-port="2" to-layer="58" to-port="0" />
		<edge from-layer="58" from-port="2" to-layer="59" to-port="0" />
		<edge from-layer="59" from-port="1" to-layer="62" to-port="0" />
		<edge from-layer="59" from-port="1" to-layer="80" to-port="1" />
		<edge from-layer="60" from-port="0" to-layer="61" to-port="0" />
		<edge from-layer="61" from-port="1" to-layer="62" to-port="1" />
		<edge from-layer="62" from-port="2" to-layer="65" to-port="0" />
		<edge from-layer="63" from-port="0" to-layer="64" to-port="0" />
		<edge from-layer="64" from-port="1" to-layer="65" to-port="1" />
		<edge from-layer="65" from-port="2" to-layer="66" to-port="0" />
		<edge from-layer="66" from-port="1" 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="76" to-port="0" />
		<edge from-layer="74" from-port="0" to-layer="75" to-port="0" />
		<edge from-layer="75" from-port="1" to-layer="76" to-port="1" />
		<edge from-layer="76" from-port="2" to-layer="79" to-port="0" />
		<edge from-layer="77" from-port="0" to-layer="78" to-port="0" />
		<edge from-layer="78" from-port="1" to-layer="79" to-port="1" />
		<edge from-layer="79" from-port="2" to-layer="80" to-port="0" />
		<edge from-layer="80" from-port="2" to-layer="81" to-port="0" />
		<edge from-layer="81" from-port="1" to-layer="84" to-port="0" />
		<edge from-layer="81" from-port="1" to-layer="102" to-port="1" />
		<edge from-layer="82" from-port="0" to-layer="83" to-port="0" />
		<edge from-layer="83" from-port="1" to-layer="84" to-port="1" />
		<edge from-layer="84" from-port="2" to-layer="87" to-port="0" />
		<edge from-layer="85" from-port="0" to-layer="86" to-port="0" />
		<edge from-layer="86" from-port="1" to-layer="87" to-port="1" />
		<edge from-layer="87" from-port="2" to-layer="88" to-port="0" />
		<edge from-layer="88" from-port="1" to-layer="91" to-port="0" />
		<edge from-layer="89" from-port="0" to-layer="90" to-port="0" />
		<edge from-layer="90" from-port="1" to-layer="91" to-port="1" />
		<edge from-layer="91" from-port="2" to-layer="94" to-port="0" />
		<edge from-layer="92" from-port="0" to-layer="93" to-port="0" />
		<edge from-layer="93" from-port="1" to-layer="94" to-port="1" />
		<edge from-layer="94" from-port="2" to-layer="95" to-port="0" />
		<edge from-layer="95" from-port="1" to-layer="98" to-port="0" />
		<edge from-layer="96" from-port="0" to-layer="97" to-port="0" />
		<edge from-layer="97" from-port="1" to-layer="98" to-port="1" />
		<edge from-layer="98" from-port="2" to-layer="101" to-port="0" />
		<edge from-layer="99" from-port="0" to-layer="100" to-port="0" />
		<edge from-layer="100" from-port="1" to-layer="101" to-port="1" />
		<edge from-layer="101" from-port="2" to-layer="102" to-port="0" />
		<edge from-layer="102" from-port="2" to-layer="103" to-port="0" />
		<edge from-layer="103" from-port="1" to-layer="106" to-port="0" />
		<edge from-layer="104" from-port="0" to-layer="105" to-port="0" />
		<edge from-layer="105" from-port="1" to-layer="106" to-port="1" />
		<edge from-layer="106" from-port="2" to-layer="109" to-port="0" />
		<edge from-layer="106" from-port="2" to-layer="127" to-port="1" />
		<edge from-layer="107" from-port="0" to-layer="108" to-port="0" />
		<edge from-layer="108" from-port="1" to-layer="109" to-port="1" />
		<edge from-layer="109" from-port="2" to-layer="112" to-port="0" />
		<edge from-layer="110" from-port="0" to-layer="111" to-port="0" />
		<edge from-layer="111" from-port="1" to-layer="112" to-port="1" />
		<edge from-layer="112" from-port="2" to-layer="113" to-port="0" />
		<edge from-layer="113" from-port="1" to-layer="116" to-port="0" />
		<edge from-layer="114" from-port="0" to-layer="115" to-port="0" />
		<edge from-layer="115" from-port="1" to-layer="116" to-port="1" />
		<edge from-layer="116" from-port="2" to-layer="119" to-port="0" />
		<edge from-layer="117" from-port="0" 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="120" to-port="0" />
		<edge from-layer="120" from-port="1" to-layer="123" to-port="0" />
		<edge from-layer="121" from-port="0" to-layer="122" to-port="0" />
		<edge from-layer="122" from-port="1" to-layer="123" to-port="1" />
		<edge from-layer="123" from-port="2" to-layer="126" to-port="0" />
		<edge from-layer="124" from-port="0" to-layer="125" to-port="0" />
		<edge from-layer="125" from-port="1" to-layer="126" to-port="1" />
		<edge from-layer="126" from-port="2" to-layer="127" to-port="0" />
		<edge from-layer="127" from-port="2" to-layer="128" to-port="0" />
		<edge from-layer="128" from-port="1" to-layer="131" to-port="0" />
		<edge from-layer="128" from-port="1" to-layer="149" to-port="1" />
		<edge from-layer="129" from-port="0" to-layer="130" to-port="0" />
		<edge from-layer="130" from-port="1" to-layer="131" to-port="1" />
		<edge from-layer="131" from-port="2" to-layer="134" 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="135" to-port="0" />
		<edge from-layer="135" from-port="1" to-layer="138" to-port="0" />
		<edge from-layer="136" from-port="0" to-layer="137" to-port="0" />
		<edge from-layer="137" from-port="1" to-layer="138" to-port="1" />
		<edge from-layer="138" from-port="2" to-layer="141" to-port="0" />
		<edge from-layer="139" from-port="0" to-layer="140" to-port="0" />
		<edge from-layer="140" from-port="1" to-layer="141" to-port="1" />
		<edge from-layer="141" from-port="2" to-layer="142" to-port="0" />
		<edge from-layer="142" from-port="1" to-layer="145" to-port="0" />
		<edge from-layer="143" from-port="0" to-layer="144" to-port="0" />
		<edge from-layer="144" from-port="1" to-layer="145" to-port="1" />
		<edge from-layer="145" from-port="2" to-layer="148" to-port="0" />
		<edge from-layer="146" from-port="0" to-layer="147" to-port="0" />
		<edge from-layer="147" from-port="1" to-layer="148" to-port="1" />
		<edge from-layer="148" from-port="2" to-layer="149" to-port="0" />
		<edge from-layer="149" from-port="2" to-layer="150" to-port="0" />
		<edge from-layer="150" from-port="1" to-layer="153" to-port="0" />
		<edge from-layer="150" from-port="1" to-layer="171" to-port="1" />
		<edge from-layer="151" from-port="0" to-layer="152" to-port="0" />
		<edge from-layer="152" from-port="1" to-layer="153" to-port="1" />
		<edge from-layer="153" from-port="2" to-layer="156" to-port="0" />
		<edge from-layer="154" from-port="0" to-layer="155" to-port="0" />
		<edge from-layer="155" from-port="1" to-layer="156" to-port="1" />
		<edge from-layer="156" from-port="2" to-layer="157" to-port="0" />
		<edge from-layer="157" from-port="1" to-layer="160" to-port="0" />
		<edge from-layer="158" from-port="0" to-layer="159" to-port="0" />
		<edge from-layer="159" from-port="1" to-layer="160" to-port="1" />
		<edge from-layer="160" from-port="2" to-layer="163" to-port="0" />
		<edge from-layer="161" from-port="0" to-layer="162" to-port="0" />
		<edge from-layer="162" from-port="1" to-layer="163" to-port="1" />
		<edge from-layer="163" from-port="2" to-layer="164" to-port="0" />
		<edge from-layer="164" from-port="1" to-layer="167" to-port="0" />
		<edge from-layer="165" from-port="0" to-layer="166" to-port="0" />
		<edge from-layer="166" from-port="1" to-layer="167" to-port="1" />
		<edge from-layer="167" from-port="2" to-layer="170" to-port="0" />
		<edge from-layer="168" from-port="0" to-layer="169" to-port="0" />
		<edge from-layer="169" from-port="1" to-layer="170" to-port="1" />
		<edge from-layer="170" from-port="2" to-layer="171" to-port="0" />
		<edge from-layer="171" from-port="2" to-layer="172" to-port="0" />
		<edge from-layer="172" from-port="1" to-layer="175" to-port="0" />
		<edge from-layer="173" from-port="0" to-layer="174" to-port="0" />
		<edge from-layer="174" from-port="1" to-layer="175" to-port="1" />
		<edge from-layer="175" from-port="2" to-layer="178" to-port="0" />
		<edge from-layer="175" from-port="2" to-layer="196" to-port="1" />
		<edge from-layer="176" from-port="0" to-layer="177" to-port="0" />
		<edge from-layer="177" from-port="1" to-layer="178" to-port="1" />
		<edge from-layer="178" from-port="2" to-layer="181" to-port="0" />
		<edge from-layer="179" from-port="0" to-layer="180" to-port="0" />
		<edge from-layer="180" from-port="1" to-layer="181" to-port="1" />
		<edge from-layer="181" from-port="2" to-layer="182" to-port="0" />
		<edge from-layer="182" from-port="1" to-layer="185" to-port="0" />
		<edge from-layer="183" from-port="0" to-layer="184" to-port="0" />
		<edge from-layer="184" from-port="1" to-layer="185" to-port="1" />
		<edge from-layer="185" from-port="2" to-layer="188" to-port="0" />
		<edge from-layer="186" from-port="0" to-layer="187" to-port="0" />
		<edge from-layer="187" from-port="1" to-layer="188" to-port="1" />
		<edge from-layer="188" from-port="2" to-layer="189" to-port="0" />
		<edge from-layer="189" from-port="1" to-layer="192" to-port="0" />
		<edge from-layer="190" from-port="0" to-layer="191" to-port="0" />
		<edge from-layer="191" from-port="1" to-layer="192" to-port="1" />
		<edge from-layer="192" from-port="2" to-layer="195" to-port="0" />
		<edge from-layer="193" from-port="0" to-layer="194" to-port="0" />
		<edge from-layer="194" from-port="1" to-layer="195" to-port="1" />
		<edge from-layer="195" from-port="2" to-layer="196" to-port="0" />
		<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="197" from-port="1" to-layer="218" to-port="1" />
		<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="204" to-port="0" />
		<edge from-layer="204" from-port="1" to-layer="207" to-port="0" />
		<edge from-layer="205" from-port="0" to-layer="206" to-port="0" />
		<edge from-layer="206" from-port="1" to-layer="207" to-port="1" />
		<edge from-layer="207" from-port="2" to-layer="210" to-port="0" />
		<edge from-layer="208" from-port="0" to-layer="209" to-port="0" />
		<edge from-layer="209" from-port="1" to-layer="210" to-port="1" />
		<edge from-layer="210" from-port="2" to-layer="211" to-port="0" />
		<edge from-layer="211" from-port="1" to-layer="214" to-port="0" />
		<edge from-layer="212" from-port="0" to-layer="213" to-port="0" />
		<edge from-layer="213" from-port="1" to-layer="214" to-port="1" />
		<edge from-layer="214" from-port="2" to-layer="217" to-port="0" />
		<edge from-layer="215" from-port="0" to-layer="216" to-port="0" />
		<edge from-layer="216" from-port="1" to-layer="217" to-port="1" />
		<edge from-layer="217" from-port="2" to-layer="218" to-port="0" />
		<edge from-layer="218" from-port="2" to-layer="219" to-port="0" />
		<edge from-layer="219" from-port="1" to-layer="222" to-port="0" />
		<edge from-layer="219" from-port="1" to-layer="240" to-port="1" />
		<edge from-layer="220" from-port="0" to-layer="221" to-port="0" />
		<edge from-layer="221" from-port="1" to-layer="222" to-port="1" />
		<edge from-layer="222" from-port="2" to-layer="225" to-port="0" />
		<edge from-layer="223" from-port="0" to-layer="224" to-port="0" />
		<edge from-layer="224" from-port="1" to-layer="225" to-port="1" />
		<edge from-layer="225" from-port="2" to-layer="226" to-port="0" />
		<edge from-layer="226" from-port="1" to-layer="229" to-port="0" />
		<edge from-layer="227" from-port="0" to-layer="228" to-port="0" />
		<edge from-layer="228" from-port="1" to-layer="229" to-port="1" />
		<edge from-layer="229" from-port="2" to-layer="232" to-port="0" />
		<edge from-layer="230" from-port="0" to-layer="231" to-port="0" />
		<edge from-layer="231" from-port="1" to-layer="232" to-port="1" />
		<edge from-layer="232" from-port="2" to-layer="233" to-port="0" />
		<edge from-layer="233" from-port="1" to-layer="236" to-port="0" />
		<edge from-layer="234" from-port="0" to-layer="235" to-port="0" />
		<edge from-layer="235" from-port="1" to-layer="236" to-port="1" />
		<edge from-layer="236" from-port="2" to-layer="239" to-port="0" />
		<edge from-layer="237" from-port="0" to-layer="238" to-port="0" />
		<edge from-layer="238" from-port="1" to-layer="239" to-port="1" />
		<edge from-layer="239" from-port="2" to-layer="240" to-port="0" />
		<edge from-layer="240" from-port="2" to-layer="241" to-port="0" />
		<edge from-layer="241" from-port="1" to-layer="244" to-port="0" />
		<edge from-layer="242" from-port="0" to-layer="243" to-port="0" />
		<edge from-layer="243" from-port="1" to-layer="244" to-port="1" />
		<edge from-layer="244" from-port="2" to-layer="247" to-port="0" />
		<edge from-layer="245" from-port="0" to-layer="246" to-port="0" />
		<edge from-layer="246" from-port="1" to-layer="247" to-port="1" />
		<edge from-layer="247" from-port="2" to-layer="248" to-port="0" />
	</edges>
	<rt_info>
		<Runtime_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
		<conversion_parameters>
			<framework value="pytorch" />
			<is_python_object value="True" />
		</conversion_parameters>
	</rt_info>
</net>