vae_decoder/vae_decoder_t1.xml

<?xml version="1.0"?>
<net name="Model1004" version="11">
	<layers>
		<layer id="0" name="z" type="Parameter" version="opset1">
			<data shape="?,?,?,?,?" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="45,input.1,z">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="self.vae.post_quant_conv.weight" type="Const" version="opset1">
			<data element_type="u8" shape="16, 16, 1, 1, 1" offset="0" size="256" />
			<output>
				<port id="0" precision="U8">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="Convert_3037428" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="self.vae.post_quant_conv.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="16, 1, 1, 1, 1" offset="256" size="16" />
			<output>
				<port id="0" precision="U8">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Convert_3037431" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="self.vae.post_quant_conv.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="self.vae.post_quant_conv.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="16, 1, 1, 1, 1" offset="272" size="32" />
			<output>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="self.vae.post_quant_conv.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="self.vae.post_quant_conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="__module.vae.post_quant_conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="0, 0, 0" pads_end="0, 0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>16</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="__module.vae.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 16, 1, 1, 1" offset="304" size="64" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="__module.vae.post_quant_conv/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>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="11,16,50,x.1">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="Constant_2827971" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="368" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="Constant_2827973" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="376" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="Constant_2827975" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="376" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="Constant_2827969" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="384" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="aten::slice/Slice_2" type="Slice" version="opset8">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
				</port>
				<port id="3" precision="I64">
					<dim>1</dim>
				</port>
				<port id="4" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="FP32" names="21,26,31,x.3">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="self.vae.decoder.conv_in.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 16, 3, 3, 3" offset="392" size="165888" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="Convert_3021488" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="19" name="self.vae.decoder.conv_in.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="166280" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="Convert_3021491" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="self.vae.decoder.conv_in.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="self.vae.decoder.conv_in.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="166664" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="self.vae.decoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="self.vae.decoder.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="__module.vae.decoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>16</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>16</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="__module.vae.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="167432" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="__module.vae.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="91,input.5">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="Concat_2828166" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="376" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="__module.vae.decoder.mid_block.resnets.0.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="107">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="Constant_2850025" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="__module.vae.decoder.mid_block.resnets.0.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="108,109,denom.1">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="__module.vae.decoder.mid_block.resnets.0.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="110,111,normalized.1">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="Constant_2850026" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="168972" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="__module.vae.decoder.mid_block.resnets.0.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="113,114,input.7">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="__module.vae.decoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="115,x.5">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="self.vae.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="170508" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="Convert_2857002" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="self.vae.decoder.mid_block.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="4151820" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="Convert_2857005" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="self.vae.decoder.mid_block.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="self.vae.decoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="4152204" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="self.vae.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="self.vae.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="4152972" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="124,input.11">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="__module.vae.decoder.mid_block.resnets.0.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="127">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="Constant_2850027" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="__module.vae.decoder.mid_block.resnets.0.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="128,129,denom.3">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="__module.vae.decoder.mid_block.resnets.0.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="130,131,normalized.3">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="Constant_2850028" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="4154508" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="__module.vae.decoder.mid_block.resnets.0.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="133,134,input.13">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="__module.vae.decoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="135,input.15">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="self.vae.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="4156044" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="Convert_2862308" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="self.vae.decoder.mid_block.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="8137356" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="Convert_2862311" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="58" name="self.vae.decoder.mid_block.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="self.vae.decoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="8137740" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="self.vae.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="self.vae.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="__module.vae.decoder.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="__module.vae.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="8138508" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="__module.vae.decoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="145,x.9">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="__module.vae.decoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="146,x.11">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="Constant_2848314" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="8140044" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="__module.vae.decoder.mid_block.attentions.0/aten::permute/Transpose" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="159">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="ShapeOf_2850517" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="Constant_2850518" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="368" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="Constant_2850519" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="71" name="Gather_2850520" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64" names="150,419,616,804">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="Constant_2847553" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="384" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="__module.vae.decoder.mid_block.attentions.0/aten::size/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="8140084" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="74" name="__module.vae.decoder.mid_block.attentions.0/aten::size/Gather_1" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I32" />
			</input>
			<output>
				<port id="3" precision="I64" names="154">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="__module.vae.decoder.mid_block.attentions.0/aten::mul/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I64" names="160,161,181,182,198,199">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="Constant_2828586" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8140088" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="Constant_2847615" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="8140096" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="Constant_2847616" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="79" name="Gather_2847617" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="__module.vae.decoder.mid_block.attentions.0/prim::ListConstruct/SequenceMark" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="__module.vae.decoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="163,input.19">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="__module.vae.decoder.mid_block.attentions.0.norm/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="166">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Constant_2850029" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="__module.vae.decoder.mid_block.attentions.0.norm/aten::clamp_min/Maximum" type="Maximum" 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="167,168,denom.5">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="__module.vae.decoder.mid_block.attentions.0.norm/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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="169,170,normalized.5">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="Constant_2849946" type="Const" version="opset1">
			<data element_type="u8" shape="1152, 384, 1, 1" offset="8140112" size="442368" />
			<output>
				<port id="0" precision="U8">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="87" name="Convert_2984346" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="Constant_2849946/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="1152, 1, 1, 1" offset="8582480" size="1152" />
			<output>
				<port id="0" precision="U8">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="Convert_2984349" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="Constant_2849946/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="Constant_2849946/scale" type="Const" version="opset1">
			<data element_type="f16" shape="1152, 1, 1, 1" offset="8583632" size="2304" />
			<output>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="Constant_2849946/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="Constant_2849946/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="94" name="__module.vae.decoder.mid_block.attentions.0.to_qkv/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1152</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="__module.vae.decoder.mid_block.attentions.0.to_qkv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1152, 1, 1" offset="8585936" size="4608" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="__module.vae.decoder.mid_block.attentions.0.to_qkv/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1152</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="180,qkv.1">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="Constant_2828831" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="376" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="Constant_2828836" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8590544" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="99" name="Constant_2828837" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8590552" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="100" name="__module.vae.decoder.mid_block.attentions.0/prim::ListConstruct/SequenceMark_1" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>1</dim>
				</port>
				<port id="3" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="__module.vae.decoder.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="186,qkv.3">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="Constant_2828921" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="8590560" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="__module.vae.decoder.mid_block.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1152</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="188">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1152</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="59" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="8590552" size="8" />
			<output>
				<port id="0" precision="I64" names="59" />
			</output>
		</layer>
		<layer id="105" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1152</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="Constant_2834564" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="8140084" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I32">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64" />
				<port id="2" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I32" />
			</output>
		</layer>
		<layer id="108" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Convert" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="8590592" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="109" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32" />
			</input>
			<output>
				<port id="2" precision="I32" />
			</output>
		</layer>
		<layer id="110" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32" />
			</input>
			<output>
				<port id="2" precision="I32" />
			</output>
		</layer>
		<layer id="111" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="BOOL">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="112" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
			<data destination_type="i32" />
			<input>
				<port id="0" precision="BOOL">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="Constant_2834573" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="8590596" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
			<data mode="numpy" />
			<input>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="Constant_2834565" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="8590600" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="118" name="__module.vae.decoder.mid_block.attentions.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1152</dim>
				</port>
				<port id="1" precision="I64" />
				<port id="2" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="191,q">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="4" precision="FP32" names="192,k">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="5" precision="FP32" names="193,v">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="__module.vae.decoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
			<data causal="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="194,x.13">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="63" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="376" size="8" />
			<output>
				<port id="0" precision="I64" names="63" />
			</output>
		</layer>
		<layer id="121" name="__module.vae.decoder.mid_block.attentions.0/aten::squeeze/Squeeze" type="Squeeze" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="1" precision="I64" />
			</input>
			<output>
				<port id="2" precision="FP32" names="195">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
			</output>
		</layer>
		<layer id="122" name="Constant_2828939" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="8590604" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="123" name="__module.vae.decoder.mid_block.attentions.0/aten::permute/Transpose_2" type="Transpose" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>384</dim>
				</port>
				<port id="1" precision="I64">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="197">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="__module.vae.decoder.mid_block.attentions.0/aten::reshape/Reshape_2" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="201,input.23">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="125" name="self.vae.decoder.mid_block.attentions.0.proj.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 1, 1" offset="8590628" size="147456" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="126" name="Convert_3032100" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="self.vae.decoder.mid_block.attentions.0.proj.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1" offset="8738084" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="Convert_3032103" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="self.vae.decoder.mid_block.attentions.0.proj.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="self.vae.decoder.mid_block.attentions.0.proj.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1" offset="8738468" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="self.vae.decoder.mid_block.attentions.0.proj.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="self.vae.decoder.mid_block.attentions.0.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="__module.vae.decoder.mid_block.attentions.0.proj/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="__module.vae.decoder.mid_block.attentions.0.proj/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1" offset="8739236" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="__module.vae.decoder.mid_block.attentions.0.proj/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="208,x.15">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="Constant_2847620" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="8740772" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="Constant_2847621" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="138" name="Gather_2847622" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="Constant_2829152" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8140088" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="__module.vae.decoder.mid_block.attentions.0/prim::ListConstruct/SequenceMark_3" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="141" name="__module.vae.decoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="210,x.17">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="142" name="Constant_2848328" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="8740788" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="__module.vae.decoder.mid_block.attentions.0/aten::permute/Transpose_3" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="212,x.19">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="__module.vae.decoder.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="213,input.25">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="__module.vae.decoder.mid_block.resnets.1.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="223">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="Constant_2850030" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="147" name="__module.vae.decoder.mid_block.resnets.1.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="224,225,denom.7">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="148" name="__module.vae.decoder.mid_block.resnets.1.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="226,227,normalized.7">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="Constant_2850031" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="8740828" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="__module.vae.decoder.mid_block.resnets.1.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="229,230,input.27">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="__module.vae.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="231,x.21">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="self.vae.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="8742364" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="Convert_2867614" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="self.vae.decoder.mid_block.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="12723676" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="Convert_2867617" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="156" name="self.vae.decoder.mid_block.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="self.vae.decoder.mid_block.resnets.1.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="12724060" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="self.vae.decoder.mid_block.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="self.vae.decoder.mid_block.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="__module.vae.decoder.mid_block.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="__module.vae.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="12724828" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="162" name="__module.vae.decoder.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="240,input.31">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="163" name="__module.vae.decoder.mid_block.resnets.1.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="243">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="Constant_2850032" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="__module.vae.decoder.mid_block.resnets.1.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="244,245,denom.9">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="__module.vae.decoder.mid_block.resnets.1.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="246,247,normalized.9">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="Constant_2850033" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="12726364" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="__module.vae.decoder.mid_block.resnets.1.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="249,250,input.33">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="169" name="__module.vae.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="251,input.35">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="self.vae.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="12727900" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="Convert_2872920" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="self.vae.decoder.mid_block.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="16709212" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="173" name="Convert_2872923" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="self.vae.decoder.mid_block.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="self.vae.decoder.mid_block.resnets.1.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="16709596" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="self.vae.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="self.vae.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="178" name="__module.vae.decoder.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="__module.vae.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="16710364" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="__module.vae.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="261,x.25">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="__module.vae.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="262,input.39">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="__module.vae.decoder.up_blocks.0.resnets.0.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="280">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="Constant_2850034" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="__module.vae.decoder.up_blocks.0.resnets.0.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="281,282,denom.11">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="__module.vae.decoder.up_blocks.0.resnets.0.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="283,284,normalized.11">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="Constant_2850035" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="16711900" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="187" name="__module.vae.decoder.up_blocks.0.resnets.0.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="286,287,input.41">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="188" name="__module.vae.decoder.up_blocks.0.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="288,x.27">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="16713436" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="Convert_2878226" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="20694748" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="Convert_2878229" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="194" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="20695132" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="self.vae.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="__module.vae.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="__module.vae.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="20695900" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="__module.vae.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="297,input.45">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="__module.vae.decoder.up_blocks.0.resnets.0.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="300">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="201" name="Constant_2850036" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="202" name="__module.vae.decoder.up_blocks.0.resnets.0.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="301,302,denom.13">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="203" name="__module.vae.decoder.up_blocks.0.resnets.0.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="303,304,normalized.13">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="Constant_2850037" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="20697436" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="__module.vae.decoder.up_blocks.0.resnets.0.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="306,307,input.47">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="__module.vae.decoder.up_blocks.0.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="308,input.49">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="20698972" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="Convert_2883532" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="209" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="24680284" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="210" name="Convert_2883535" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="24680668" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="self.vae.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="__module.vae.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="216" name="__module.vae.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="24681436" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="217" name="__module.vae.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="318,x.31">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="__module.vae.decoder.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="319,input.53">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="219" name="__module.vae.decoder.up_blocks.0.resnets.1.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="329">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="220" name="Constant_2850038" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="221" name="__module.vae.decoder.up_blocks.0.resnets.1.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="330,331,denom.15">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="222" name="__module.vae.decoder.up_blocks.0.resnets.1.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="332,333,normalized.15">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="Constant_2850039" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="24682972" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="224" name="__module.vae.decoder.up_blocks.0.resnets.1.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="335,336,input.55">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="225" name="__module.vae.decoder.up_blocks.0.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="337,x.33">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="24684508" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="227" name="Convert_2888838" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="28665820" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="Convert_2888841" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="231" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="28666204" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="232" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="233" name="self.vae.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="__module.vae.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="__module.vae.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="28666972" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="236" name="__module.vae.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="346,input.59">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="__module.vae.decoder.up_blocks.0.resnets.1.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="349">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="238" name="Constant_2850040" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="239" name="__module.vae.decoder.up_blocks.0.resnets.1.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="350,351,denom.17">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="__module.vae.decoder.up_blocks.0.resnets.1.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="352,353,normalized.17">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="241" name="Constant_2850041" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="28668508" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="242" name="__module.vae.decoder.up_blocks.0.resnets.1.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="355,356,input.61">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="243" name="__module.vae.decoder.up_blocks.0.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="357,input.63">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="244" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="28670044" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="Convert_2894144" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="246" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="32651356" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="247" name="Convert_2894147" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="248" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="249" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="32651740" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="250" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="251" name="self.vae.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="252" name="__module.vae.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="253" name="__module.vae.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="32652508" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="254" name="__module.vae.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="367,x.37">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="255" name="__module.vae.decoder.up_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="368,input.67">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="256" name="__module.vae.decoder.up_blocks.0.resnets.2.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="378">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="257" name="Constant_2850042" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="258" name="__module.vae.decoder.up_blocks.0.resnets.2.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="379,380,denom.19">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="259" name="__module.vae.decoder.up_blocks.0.resnets.2.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="381,382,normalized.19">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="260" name="Constant_2850043" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="32654044" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="261" name="__module.vae.decoder.up_blocks.0.resnets.2.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="384,385,input.69">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="262" name="__module.vae.decoder.up_blocks.0.resnets.2.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="386,x.39">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="263" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="32655580" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="264" name="Convert_2899450" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="265" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="36636892" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="266" name="Convert_2899453" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="267" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="268" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="36637276" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="269" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="270" name="self.vae.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="271" name="__module.vae.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="272" name="__module.vae.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="36638044" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="273" name="__module.vae.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="395,input.73">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="274" name="__module.vae.decoder.up_blocks.0.resnets.2.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="398">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="275" name="Constant_2850044" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="276" name="__module.vae.decoder.up_blocks.0.resnets.2.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="399,400,denom.21">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="277" name="__module.vae.decoder.up_blocks.0.resnets.2.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="401,402,normalized.21">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="278" name="Constant_2850045" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="36639580" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="279" name="__module.vae.decoder.up_blocks.0.resnets.2.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="404,405,input.75">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="280" name="__module.vae.decoder.up_blocks.0.resnets.2.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="406,input.77">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="281" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="36641116" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="282" name="Convert_2904756" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="283" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="40622428" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="284" name="Convert_2904759" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="285" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="286" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="40622812" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="287" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="288" name="self.vae.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="289" name="__module.vae.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="290" name="__module.vae.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="40623580" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="291" name="__module.vae.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="416,x.43">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="292" name="__module.vae.decoder.up_blocks.0.resnets.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="417,x.45">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="293" name="Constant_2848396" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="8140044" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="294" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::permute/Transpose" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="427">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="295" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="296" name="Constant_2847565" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="384" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="297" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::size/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="8140084" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="298" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::size/Gather_1" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I32" />
			</input>
			<output>
				<port id="3" precision="I64" names="424">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="299" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::mul/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I64" names="428,429">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="300" name="Constant_2830562" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8140088" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="301" name="Constant_2847629" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="8140096" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="302" name="Constant_2847630" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="303" name="Gather_2847631" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="304" name="__module.vae.decoder.up_blocks.0.upsamplers.0/prim::ListConstruct/SequenceMark" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="305" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::reshape/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="431,433,input.81,x.47">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="306" name="__module.vae.decoder.up_blocks.0.upsamplers.0.resample.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="40625116" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="307" name="Constant_2830638" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="40625124" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="308" name="__module.vae.decoder.up_blocks.0.upsamplers.0.resample.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="435,436,input.83">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="309" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 384, 3, 3" offset="40625132" size="663552" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="310" name="Convert_2973734" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="311" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1" offset="41288684" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="312" name="Convert_2973737" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="313" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="314" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1" offset="41288876" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="315" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="316" name="self.vae.decoder.up_blocks.0.upsamplers.0.resample.1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="317" name="__module.vae.decoder.up_blocks.0.upsamplers.0.resample.1/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>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="318" name="__module.vae.decoder.up_blocks.0.upsamplers.0.resample.1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1" offset="41289260" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="319" name="__module.vae.decoder.up_blocks.0.upsamplers.0.resample.1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="443,x.49">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="320" name="Constant_2830708" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="41290028" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="321" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::size/ShapeOf_4" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="322" name="Constant_2847638" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="41290036" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="323" name="Constant_2847639" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="324" name="Gather_2847640" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="325" name="__module.vae.decoder.up_blocks.0.upsamplers.0/prim::ListConstruct/SequenceMark_1" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="326" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::view/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="448">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="327" name="Constant_2848402" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="41290052" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="328" name="__module.vae.decoder.up_blocks.0.upsamplers.0/aten::permute/Transpose_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="450,469,input.85,input.87">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="329" name="__module.vae.decoder.up_blocks.1.resnets.0.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="477">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="330" name="Constant_2850046" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="331" name="__module.vae.decoder.up_blocks.1.resnets.0.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="478,479,denom.23">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="332" name="__module.vae.decoder.up_blocks.1.resnets.0.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="480,481,normalized.23">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="333" name="Constant_2850047" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="41290092" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="334" name="__module.vae.decoder.up_blocks.1.resnets.0.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="483,484,input.89">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="335" name="__module.vae.decoder.up_blocks.1.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="485,x.51">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="336" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 192, 3, 3, 3" offset="41290860" size="1990656" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="337" name="Convert_2936592" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="338" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="43281516" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="339" name="Convert_2936595" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="340" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="341" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="43281900" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="342" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="343" name="self.vae.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="344" name="__module.vae.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="345" name="__module.vae.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="43282668" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="346" name="__module.vae.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="494,input.93">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="347" name="__module.vae.decoder.up_blocks.1.resnets.0.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="497">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="348" name="Constant_2850048" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="349" name="__module.vae.decoder.up_blocks.1.resnets.0.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="498,499,denom.25">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="350" name="__module.vae.decoder.up_blocks.1.resnets.0.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="500,501,normalized.25">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="351" name="Constant_2850049" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="43284204" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="352" name="__module.vae.decoder.up_blocks.1.resnets.0.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="503,504,input.95">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="353" name="__module.vae.decoder.up_blocks.1.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="505,input.97">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="354" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="43285740" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="355" name="Convert_2910062" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="356" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="47267052" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="357" name="Convert_2910065" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="358" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="359" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="47267436" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="360" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="361" name="self.vae.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="362" name="__module.vae.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="363" name="__module.vae.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="47268204" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="364" name="__module.vae.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="515,x.55">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="365" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 192, 1, 1, 1" offset="47269740" size="73728" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="366" name="Convert_3037406" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="367" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="47343468" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="368" name="Convert_3037409" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="369" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="370" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="47343852" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="371" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="372" name="self.vae.decoder.up_blocks.1.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="373" name="__module.vae.decoder.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="0, 0, 0" pads_end="0, 0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="374" name="__module.vae.decoder.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="47344620" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="375" name="__module.vae.decoder.up_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="474,h.3">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="376" name="__module.vae.decoder.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="516,input.101">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="377" name="__module.vae.decoder.up_blocks.1.resnets.1.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="526">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="378" name="Constant_2850050" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="379" name="__module.vae.decoder.up_blocks.1.resnets.1.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="527,528,denom.27">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="380" name="__module.vae.decoder.up_blocks.1.resnets.1.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="529,530,normalized.27">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="381" name="Constant_2850051" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="47346156" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="382" name="__module.vae.decoder.up_blocks.1.resnets.1.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="532,533,input.103">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="383" name="__module.vae.decoder.up_blocks.1.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="534,x.57">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="384" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="47347692" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="385" name="Convert_2915368" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="386" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="51329004" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="387" name="Convert_2915371" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="388" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="389" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="51329388" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="390" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="391" name="self.vae.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="392" name="__module.vae.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="393" name="__module.vae.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="51330156" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="394" name="__module.vae.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="543,input.107">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="395" name="__module.vae.decoder.up_blocks.1.resnets.1.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="546">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="396" name="Constant_2850052" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="397" name="__module.vae.decoder.up_blocks.1.resnets.1.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="547,548,denom.29">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="398" name="__module.vae.decoder.up_blocks.1.resnets.1.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="549,550,normalized.29">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="399" name="Constant_2850053" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="51331692" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="400" name="__module.vae.decoder.up_blocks.1.resnets.1.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="552,553,input.109">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="401" name="__module.vae.decoder.up_blocks.1.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="554,input.111">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="402" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="51333228" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="403" name="Convert_2920674" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="404" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="55314540" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="405" name="Convert_2920677" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="406" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="407" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="55314924" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="408" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="409" name="self.vae.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="410" name="__module.vae.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="411" name="__module.vae.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="55315692" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="412" name="__module.vae.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="564,x.61">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="413" name="__module.vae.decoder.up_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="565,input.115">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="414" name="__module.vae.decoder.up_blocks.1.resnets.2.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="575">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="415" name="Constant_2850054" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="416" name="__module.vae.decoder.up_blocks.1.resnets.2.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="576,577,denom.31">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="417" name="__module.vae.decoder.up_blocks.1.resnets.2.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="578,579,normalized.31">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="418" name="Constant_2850055" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="55317228" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="419" name="__module.vae.decoder.up_blocks.1.resnets.2.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="581,582,input.117">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="420" name="__module.vae.decoder.up_blocks.1.resnets.2.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="583,x.63">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="421" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="55318764" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="422" name="Convert_2925980" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="423" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="59300076" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="424" name="Convert_2925983" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="425" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="426" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="59300460" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="427" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="428" name="self.vae.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="429" name="__module.vae.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="430" name="__module.vae.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="59301228" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="431" name="__module.vae.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="592,input.121">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="432" name="__module.vae.decoder.up_blocks.1.resnets.2.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="595">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="433" name="Constant_2850056" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="434" name="__module.vae.decoder.up_blocks.1.resnets.2.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="596,597,denom.33">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="435" name="__module.vae.decoder.up_blocks.1.resnets.2.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="598,599,normalized.33">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="436" name="Constant_2850057" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="59302764" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="437" name="__module.vae.decoder.up_blocks.1.resnets.2.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="601,602,input.123">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="438" name="__module.vae.decoder.up_blocks.1.resnets.2.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="603,input.125">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="439" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="384, 384, 3, 3, 3" offset="59304300" size="3981312" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="440" name="Convert_2931286" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="441" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="384, 1, 1, 1, 1" offset="63285612" size="384" />
			<output>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="442" name="Convert_2931289" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="443" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="444" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="384, 1, 1, 1, 1" offset="63285996" size="768" />
			<output>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="445" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="446" name="self.vae.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="447" name="__module.vae.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>384</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="448" name="__module.vae.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 384, 1, 1, 1" offset="63286764" size="1536" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="449" name="__module.vae.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="613,x.67">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="450" name="__module.vae.decoder.up_blocks.1.resnets.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="614,x.69">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="451" name="Constant_2848454" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="8140044" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="452" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::permute/Transpose" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="624">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="453" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="454" name="Constant_2847583" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="384" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="455" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::size/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="8140084" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="456" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::size/Gather_1" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I32" />
			</input>
			<output>
				<port id="3" precision="I64" names="621">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="457" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::mul/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I64" names="625,626">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="458" name="Constant_2831908" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="8140088" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="459" name="Constant_2847643" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="8140096" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="460" name="Constant_2847644" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="461" name="Gather_2847645" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="462" name="__module.vae.decoder.up_blocks.1.upsamplers.0/prim::ListConstruct/SequenceMark" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="463" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::reshape/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="628,630,input.129,x.71">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="464" name="__module.vae.decoder.up_blocks.1.upsamplers.0.resample.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="40625116" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="465" name="Constant_2831984" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="40625124" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="466" name="__module.vae.decoder.up_blocks.1.upsamplers.0.resample.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="632,633,input.131">
					<dim>-1</dim>
					<dim>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="467" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 384, 3, 3" offset="63288300" size="663552" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="468" name="Convert_2979040" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="469" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1" offset="63951852" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="470" name="Convert_2979043" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="471" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="472" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1" offset="63952044" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="473" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="474" name="self.vae.decoder.up_blocks.1.upsamplers.0.resample.1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="475" name="__module.vae.decoder.up_blocks.1.upsamplers.0.resample.1/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>384</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>384</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="476" name="__module.vae.decoder.up_blocks.1.upsamplers.0.resample.1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1" offset="63952428" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="477" name="__module.vae.decoder.up_blocks.1.upsamplers.0.resample.1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="640,x.73">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="478" name="Constant_2832054" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="41290028" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="479" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::size/ShapeOf_4" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="480" name="Constant_2847652" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="41290036" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="481" name="Constant_2847653" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="482" name="Gather_2847654" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="483" name="__module.vae.decoder.up_blocks.1.upsamplers.0/prim::ListConstruct/SequenceMark_1" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="484" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::view/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="645">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="485" name="Constant_2848460" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="41290052" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="486" name="__module.vae.decoder.up_blocks.1.upsamplers.0/aten::permute/Transpose_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="647,input.133">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="487" name="__module.vae.decoder.up_blocks.2.resnets.0.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="665">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="488" name="Constant_2850058" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="489" name="__module.vae.decoder.up_blocks.2.resnets.0.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="666,667,denom.35">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="490" name="__module.vae.decoder.up_blocks.2.resnets.0.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="668,669,normalized.35">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="491" name="Constant_2850059" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="63953196" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="492" name="__module.vae.decoder.up_blocks.2.resnets.0.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="671,672,input.135">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="493" name="__module.vae.decoder.up_blocks.2.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="673,x.75">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="494" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="63953964" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="495" name="Convert_2941898" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="496" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="64949292" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="497" name="Convert_2941901" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="498" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="499" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="64949484" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="500" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="501" name="self.vae.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="502" name="__module.vae.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="503" name="__module.vae.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="64949868" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="504" name="__module.vae.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="682,input.139">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="505" name="__module.vae.decoder.up_blocks.2.resnets.0.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="685">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="506" name="Constant_2850060" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="507" name="__module.vae.decoder.up_blocks.2.resnets.0.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="686,687,denom.37">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="508" name="__module.vae.decoder.up_blocks.2.resnets.0.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="688,689,normalized.37">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="509" name="Constant_2850061" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="64950636" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="510" name="__module.vae.decoder.up_blocks.2.resnets.0.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="691,692,input.141">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="511" name="__module.vae.decoder.up_blocks.2.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="693,input.143">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="512" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="64951404" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="513" name="Convert_2947204" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="514" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="65946732" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="515" name="Convert_2947207" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="516" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="517" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="65946924" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="518" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="519" name="self.vae.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="520" name="__module.vae.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="521" name="__module.vae.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="65947308" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="522" name="__module.vae.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="703,x.79">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="523" name="__module.vae.decoder.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="704,input.147">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="524" name="__module.vae.decoder.up_blocks.2.resnets.1.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="714">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="525" name="Constant_2850062" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="526" name="__module.vae.decoder.up_blocks.2.resnets.1.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="715,716,denom.39">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="527" name="__module.vae.decoder.up_blocks.2.resnets.1.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="717,718,normalized.39">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="528" name="Constant_2850063" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="65948076" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="529" name="__module.vae.decoder.up_blocks.2.resnets.1.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="720,721,input.149">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="530" name="__module.vae.decoder.up_blocks.2.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="722,x.81">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="531" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="65948844" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="532" name="Convert_2952510" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="533" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="66944172" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="534" name="Convert_2952513" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="535" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="536" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="66944364" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="537" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="538" name="self.vae.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="539" name="__module.vae.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="540" name="__module.vae.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="66944748" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="541" name="__module.vae.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="731,input.153">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="542" name="__module.vae.decoder.up_blocks.2.resnets.1.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="734">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="543" name="Constant_2850064" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="544" name="__module.vae.decoder.up_blocks.2.resnets.1.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="735,736,denom.41">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="545" name="__module.vae.decoder.up_blocks.2.resnets.1.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="737,738,normalized.41">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="546" name="Constant_2850065" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="66945516" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="547" name="__module.vae.decoder.up_blocks.2.resnets.1.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="740,741,input.155">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="548" name="__module.vae.decoder.up_blocks.2.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="742,input.157">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="549" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="66946284" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="550" name="Convert_2957816" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="551" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="67941612" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="552" name="Convert_2957819" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="553" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="554" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="67941804" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="555" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="556" name="self.vae.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="557" name="__module.vae.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="558" name="__module.vae.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="67942188" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="559" name="__module.vae.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="752,x.85">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="560" name="__module.vae.decoder.up_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="753,input.161">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="561" name="__module.vae.decoder.up_blocks.2.resnets.2.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="763">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="562" name="Constant_2850066" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="563" name="__module.vae.decoder.up_blocks.2.resnets.2.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="764,765,denom.43">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="564" name="__module.vae.decoder.up_blocks.2.resnets.2.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="766,767,normalized.43">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="565" name="Constant_2850067" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="67942956" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="566" name="__module.vae.decoder.up_blocks.2.resnets.2.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="769,770,input.163">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="567" name="__module.vae.decoder.up_blocks.2.resnets.2.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="771,x.87">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="568" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="67943724" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="569" name="Convert_2963122" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="570" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="68939052" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="571" name="Convert_2963125" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="572" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="573" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="68939244" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="574" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="575" name="self.vae.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="576" name="__module.vae.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="577" name="__module.vae.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="68939628" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="578" name="__module.vae.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="780,input.167">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="579" name="__module.vae.decoder.up_blocks.2.resnets.2.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="783">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="580" name="Constant_2850068" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="581" name="__module.vae.decoder.up_blocks.2.resnets.2.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="784,785,denom.45">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="582" name="__module.vae.decoder.up_blocks.2.resnets.2.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="786,787,normalized.45">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="583" name="Constant_2850069" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="68940396" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="584" name="__module.vae.decoder.up_blocks.2.resnets.2.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="789,790,input.169">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="585" name="__module.vae.decoder.up_blocks.2.resnets.2.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="791,input.171">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="586" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="192, 192, 3, 3, 3" offset="68941164" size="995328" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="587" name="Convert_2968428" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="588" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="192, 1, 1, 1, 1" offset="69936492" size="192" />
			<output>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="589" name="Convert_2968431" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="590" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="591" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="192, 1, 1, 1, 1" offset="69936684" size="384" />
			<output>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="592" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="593" name="self.vae.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="594" name="__module.vae.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>192</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="595" name="__module.vae.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 192, 1, 1, 1" offset="69937068" size="768" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="596" name="__module.vae.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="801,x.91">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="597" name="__module.vae.decoder.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="802,x.93">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="598" name="Constant_2848510" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="69937836" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="599" name="__module.vae.decoder.up_blocks.2.upsamplers.0/aten::permute/Transpose" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="812">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="600" name="__module.vae.decoder.up_blocks.2.upsamplers.0/aten::reshape/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="816,818,input.175,x.95">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="601" name="__module.vae.decoder.up_blocks.2.upsamplers.0.resample.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="40625116" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="602" name="Constant_2833219" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="40625124" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="603" name="__module.vae.decoder.up_blocks.2.upsamplers.0.resample.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="820,821,input.177">
					<dim>-1</dim>
					<dim>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="604" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 192, 3, 3" offset="69937876" size="165888" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="605" name="Convert_3026794" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="606" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1" offset="70103764" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="607" name="Convert_3026797" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="608" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="609" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1" offset="70103860" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="610" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="611" name="self.vae.decoder.up_blocks.2.upsamplers.0.resample.1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="612" name="__module.vae.decoder.up_blocks.2.upsamplers.0.resample.1/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>192</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>192</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="613" name="__module.vae.decoder.up_blocks.2.upsamplers.0.resample.1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1" offset="70104052" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="614" name="__module.vae.decoder.up_blocks.2.upsamplers.0.resample.1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="828,x.97">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="615" name="Constant_2833289" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="70104436" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="616" name="__module.vae.decoder.up_blocks.2.upsamplers.0/aten::size/ShapeOf_4" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="617" name="Constant_2847666" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="41290036" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="618" name="Constant_2847667" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="368" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="619" name="Gather_2847668" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="620" name="__module.vae.decoder.up_blocks.2.upsamplers.0/prim::ListConstruct/SequenceMark_1" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="621" name="__module.vae.decoder.up_blocks.2.upsamplers.0/aten::view/Reshape" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="833">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="622" name="Constant_2848516" type="Const" version="opset1">
			<data element_type="i64" shape="5" offset="70104444" size="40" />
			<output>
				<port id="0" precision="I64">
					<dim>5</dim>
				</port>
			</output>
		</layer>
		<layer id="623" name="__module.vae.decoder.up_blocks.2.upsamplers.0/aten::permute/Transpose_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>96</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>5</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="835,input.179">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="624" name="__module.vae.decoder.up_blocks.3.resnets.0.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="851">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="625" name="Constant_2850070" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="626" name="__module.vae.decoder.up_blocks.3.resnets.0.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="852,853,denom.47">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="627" name="__module.vae.decoder.up_blocks.3.resnets.0.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="854,855,normalized.47">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="628" name="Constant_2850071" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70104484" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="629" name="__module.vae.decoder.up_blocks.3.resnets.0.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="857,858,input.181">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="630" name="__module.vae.decoder.up_blocks.3.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="859,x.99">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="631" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="70104868" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="632" name="Convert_2989652" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="633" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="70353700" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="634" name="Convert_2989655" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="635" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="636" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="70353796" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="637" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="638" name="self.vae.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="639" name="__module.vae.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="640" name="__module.vae.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70353988" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="641" name="__module.vae.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="868,input.185">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="642" name="__module.vae.decoder.up_blocks.3.resnets.0.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="871">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="643" name="Constant_2850072" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="644" name="__module.vae.decoder.up_blocks.3.resnets.0.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="872,873,denom.49">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="645" name="__module.vae.decoder.up_blocks.3.resnets.0.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="874,875,normalized.49">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="646" name="Constant_2850073" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70354372" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="647" name="__module.vae.decoder.up_blocks.3.resnets.0.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="877,878,input.187">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="648" name="__module.vae.decoder.up_blocks.3.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="879,input.189">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="649" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="70354756" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="650" name="Convert_2994958" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="651" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="70603588" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="652" name="Convert_2994961" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="653" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="654" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="70603684" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="655" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="656" name="self.vae.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="657" name="__module.vae.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="658" name="__module.vae.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70603876" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="659" name="__module.vae.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="889,x.103">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="660" name="__module.vae.decoder.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="890,input.193">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="661" name="__module.vae.decoder.up_blocks.3.resnets.1.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="900">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="662" name="Constant_2850074" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="663" name="__module.vae.decoder.up_blocks.3.resnets.1.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="901,902,denom.51">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="664" name="__module.vae.decoder.up_blocks.3.resnets.1.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="903,904,normalized.51">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="665" name="Constant_2850075" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70604260" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="666" name="__module.vae.decoder.up_blocks.3.resnets.1.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="906,907,input.195">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="667" name="__module.vae.decoder.up_blocks.3.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="908,x.105">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="668" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="70604644" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="669" name="Convert_3000264" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="670" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="70853476" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="671" name="Convert_3000267" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="672" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="673" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="70853572" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="674" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="675" name="self.vae.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="676" name="__module.vae.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="677" name="__module.vae.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70853764" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="678" name="__module.vae.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="917,input.199">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="679" name="__module.vae.decoder.up_blocks.3.resnets.1.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="920">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="680" name="Constant_2850076" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="681" name="__module.vae.decoder.up_blocks.3.resnets.1.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="921,922,denom.53">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="682" name="__module.vae.decoder.up_blocks.3.resnets.1.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="923,924,normalized.53">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="683" name="Constant_2850077" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="70854148" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="684" name="__module.vae.decoder.up_blocks.3.resnets.1.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="926,927,input.201">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="685" name="__module.vae.decoder.up_blocks.3.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="928,input.203">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="686" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="70854532" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="687" name="Convert_3005570" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="688" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="71103364" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="689" name="Convert_3005573" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="690" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="691" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="71103460" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="692" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="693" name="self.vae.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="694" name="__module.vae.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="695" name="__module.vae.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71103652" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="696" name="__module.vae.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="938,x.109">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="697" name="__module.vae.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="939,input.207">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="698" name="__module.vae.decoder.up_blocks.3.resnets.2.norm1/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="949">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="699" name="Constant_2850078" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="700" name="__module.vae.decoder.up_blocks.3.resnets.2.norm1/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="950,951,denom.55">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="701" name="__module.vae.decoder.up_blocks.3.resnets.2.norm1/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="952,953,normalized.55">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="702" name="Constant_2850079" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71104036" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="703" name="__module.vae.decoder.up_blocks.3.resnets.2.norm1/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="955,956,input.209">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="704" name="__module.vae.decoder.up_blocks.3.resnets.2.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="957,x.111">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="705" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="71104420" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="706" name="Convert_3010876" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="707" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="71353252" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="708" name="Convert_3010879" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="709" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="710" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="71353348" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="711" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="712" name="self.vae.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="713" name="__module.vae.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="714" name="__module.vae.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71353540" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="715" name="__module.vae.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="966,input.213">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="716" name="__module.vae.decoder.up_blocks.3.resnets.2.norm2/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="969">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="717" name="Constant_2850080" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="718" name="__module.vae.decoder.up_blocks.3.resnets.2.norm2/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="970,971,denom.57">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="719" name="__module.vae.decoder.up_blocks.3.resnets.2.norm2/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="972,973,normalized.57">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="720" name="Constant_2850081" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71353924" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="721" name="__module.vae.decoder.up_blocks.3.resnets.2.norm2/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="975,976,input.215">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="722" name="__module.vae.decoder.up_blocks.3.resnets.2.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="977,input.217">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="723" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="u8" shape="96, 96, 3, 3, 3" offset="71354308" size="248832" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="724" name="Convert_3016182" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="725" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="96, 1, 1, 1, 1" offset="71603140" size="96" />
			<output>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="726" name="Convert_3016185" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="727" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="728" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="96, 1, 1, 1, 1" offset="71603236" size="192" />
			<output>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="729" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="730" name="self.vae.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="731" name="__module.vae.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>96</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="732" name="__module.vae.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71603428" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="733" name="__module.vae.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="987,x.115">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="734" name="__module.vae.decoder.up_blocks.3.resnets.2/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="988,input.221">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="735" name="__module.vae.decoder.norm_out/aten::linalg_vector_norm/ReduceL2" type="ReduceL2" version="opset4">
			<data keep_dims="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="991">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="736" name="Constant_2850082" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1, 1" offset="168968" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="737" name="__module.vae.decoder.norm_out/aten::clamp_min/Maximum" type="Maximum" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<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>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="992,993,denom">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="738" name="__module.vae.decoder.norm_out/aten::div/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</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>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="994,995,normalized">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="739" name="Constant_2850083" type="Const" version="opset1">
			<data element_type="f32" shape="1, 96, 1, 1, 1" offset="71603812" size="384" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="740" name="__module.vae.decoder.norm_out/aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="997,998,input.223">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="741" name="__module.vae.decoder.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="999,x">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="742" name="self.vae.decoder.conv_out.weight" type="Const" version="opset1">
			<data element_type="u8" shape="3, 96, 3, 3, 3" offset="71604196" size="7776" />
			<output>
				<port id="0" precision="U8">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="743" name="Convert_3037417" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="744" name="self.vae.decoder.conv_out.weight/zero_point" type="Const" version="opset1">
			<data element_type="u8" shape="3, 1, 1, 1, 1" offset="71611972" size="3" />
			<output>
				<port id="0" precision="U8">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="745" name="Convert_3037420" type="Convert" version="opset1">
			<data destination_type="f16" />
			<input>
				<port id="0" precision="U8">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP16">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="746" name="self.vae.decoder.conv_out.weight/zero_point/subtract" type="Subtract" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="747" name="self.vae.decoder.conv_out.weight/scale" type="Const" version="opset1">
			<data element_type="f16" shape="3, 1, 1, 1, 1" offset="71611975" size="6" />
			<output>
				<port id="0" precision="FP16">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="748" name="self.vae.decoder.conv_out.weight/fq_weights_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
				<port id="1" precision="FP16">
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="749" name="self.vae.decoder.conv_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
			<data destination_type="f32" />
			<input>
				<port id="0" precision="FP16">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="750" name="__module.vae.decoder.conv_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="1, 1, 1" dilations="1, 1, 1" pads_begin="2, 1, 1" pads_end="0, 1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>96</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>3</dim>
					<dim>96</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="751" name="__module.vae.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 3, 1, 1, 1" offset="71611981" size="12" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="752" name="__module.vae.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="1008,out">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="753" name="aten::clamp/Minimum" type="Clamp" version="opset1">
			<data min="-1" max="1" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="754" name="Result_2834418" type="Result" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="9" 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="5" to-port="0" />
		<edge from-layer="3" from-port="0" to-layer="4" to-port="0" />
		<edge from-layer="4" from-port="1" to-layer="5" to-port="1" />
		<edge from-layer="5" from-port="2" to-layer="7" to-port="0" />
		<edge from-layer="6" from-port="0" to-layer="7" to-port="1" />
		<edge from-layer="7" from-port="2" 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="11" to-port="0" />
		<edge from-layer="10" from-port="0" to-layer="11" to-port="1" />
		<edge from-layer="11" from-port="2" to-layer="16" to-port="0" />
		<edge from-layer="12" from-port="0" to-layer="16" to-port="1" />
		<edge from-layer="13" from-port="0" to-layer="16" to-port="2" />
		<edge from-layer="14" from-port="0" to-layer="16" to-port="3" />
		<edge from-layer="15" from-port="0" to-layer="16" to-port="4" />
		<edge from-layer="16" from-port="5" to-layer="25" to-port="0" />
		<edge from-layer="17" from-port="0" to-layer="18" to-port="0" />
		<edge from-layer="18" from-port="1" to-layer="21" to-port="0" />
		<edge from-layer="19" from-port="0" to-layer="20" to-port="0" />
		<edge from-layer="20" from-port="1" to-layer="21" to-port="1" />
		<edge from-layer="21" from-port="2" to-layer="23" to-port="0" />
		<edge from-layer="22" from-port="0" to-layer="23" to-port="1" />
		<edge from-layer="23" from-port="2" to-layer="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="27" to-port="0" />
		<edge from-layer="26" from-port="0" to-layer="27" to-port="1" />
		<edge from-layer="27" from-port="2" to-layer="65" to-port="1" />
		<edge from-layer="27" from-port="2" to-layer="32" to-port="0" />
		<edge from-layer="27" from-port="2" to-layer="29" to-port="0" />
		<edge from-layer="28" from-port="0" to-layer="735" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="395" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="82" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="145" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="163" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="182" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="200" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="219" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="237" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="256" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="274" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="329" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="347" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="377" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="432" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="716" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="698" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="679" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="661" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="642" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="624" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="579" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="561" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="542" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="524" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="505" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="414" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="487" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="29" to-port="1" />
		<edge from-layer="28" from-port="0" to-layer="47" to-port="1" />
		<edge from-layer="29" from-port="2" to-layer="31" to-port="0" />
		<edge from-layer="30" from-port="0" to-layer="31" to-port="1" />
		<edge from-layer="31" from-port="2" to-layer="32" to-port="1" />
		<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
		<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
		<edge from-layer="34" from-port="2" to-layer="35" to-port="0" />
		<edge from-layer="35" from-port="1" to-layer="44" to-port="0" />
		<edge from-layer="36" from-port="0" to-layer="37" to-port="0" />
		<edge from-layer="37" from-port="1" to-layer="40" to-port="0" />
		<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="42" to-port="0" />
		<edge from-layer="41" from-port="0" to-layer="42" to-port="1" />
		<edge from-layer="42" from-port="2" to-layer="43" to-port="0" />
		<edge from-layer="43" from-port="1" to-layer="44" to-port="1" />
		<edge from-layer="44" from-port="2" to-layer="46" to-port="0" />
		<edge from-layer="45" from-port="0" to-layer="46" to-port="1" />
		<edge from-layer="46" from-port="2" to-layer="50" to-port="0" />
		<edge from-layer="46" from-port="2" to-layer="47" to-port="0" />
		<edge from-layer="47" from-port="2" to-layer="49" to-port="0" />
		<edge from-layer="48" from-port="0" to-layer="49" to-port="1" />
		<edge from-layer="49" from-port="2" to-layer="50" to-port="1" />
		<edge from-layer="50" from-port="2" to-layer="52" to-port="0" />
		<edge from-layer="51" from-port="0" to-layer="52" to-port="1" />
		<edge from-layer="52" from-port="2" to-layer="53" to-port="0" />
		<edge from-layer="53" from-port="1" to-layer="62" to-port="0" />
		<edge from-layer="54" from-port="0" to-layer="55" to-port="0" />
		<edge from-layer="55" from-port="1" to-layer="58" to-port="0" />
		<edge from-layer="56" from-port="0" to-layer="57" to-port="0" />
		<edge from-layer="57" from-port="1" to-layer="58" to-port="1" />
		<edge from-layer="58" from-port="2" to-layer="60" to-port="0" />
		<edge from-layer="59" from-port="0" to-layer="60" to-port="1" />
		<edge from-layer="60" from-port="2" 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="64" to-port="0" />
		<edge from-layer="63" from-port="0" to-layer="64" to-port="1" />
		<edge from-layer="64" from-port="2" to-layer="65" to-port="0" />
		<edge from-layer="65" from-port="2" to-layer="144" to-port="1" />
		<edge from-layer="65" from-port="2" to-layer="67" to-port="0" />
		<edge from-layer="65" from-port="2" to-layer="68" to-port="0" />
		<edge from-layer="66" from-port="0" to-layer="67" to-port="1" />
		<edge from-layer="67" from-port="2" to-layer="81" to-port="0" />
		<edge from-layer="68" from-port="1" to-layer="138" to-port="0" />
		<edge from-layer="68" from-port="1" to-layer="79" to-port="0" />
		<edge from-layer="68" from-port="1" to-layer="71" to-port="0" />
		<edge from-layer="68" from-port="1" to-layer="74" to-port="0" />
		<edge from-layer="69" from-port="0" to-layer="71" to-port="1" />
		<edge from-layer="70" from-port="0" to-layer="71" to-port="2" />
		<edge from-layer="71" from-port="3" to-layer="457" to-port="0" />
		<edge from-layer="71" from-port="3" to-layer="75" to-port="0" />
		<edge from-layer="71" from-port="3" to-layer="299" to-port="0" />
		<edge from-layer="72" from-port="0" to-layer="74" to-port="1" />
		<edge from-layer="73" from-port="0" to-layer="74" to-port="2" />
		<edge from-layer="74" from-port="3" to-layer="75" to-port="1" />
		<edge from-layer="75" from-port="2" to-layer="80" to-port="0" />
		<edge from-layer="75" from-port="2" to-layer="100" to-port="0" />
		<edge from-layer="76" from-port="0" to-layer="80" to-port="1" />
		<edge from-layer="77" from-port="0" to-layer="79" to-port="1" />
		<edge from-layer="78" from-port="0" to-layer="79" to-port="2" />
		<edge from-layer="79" from-port="3" to-layer="140" to-port="2" />
		<edge from-layer="79" from-port="3" to-layer="80" to-port="2" />
		<edge from-layer="80" from-port="3" to-layer="81" to-port="1" />
		<edge from-layer="80" from-port="3" to-layer="124" to-port="1" />
		<edge from-layer="81" from-port="2" to-layer="85" to-port="0" />
		<edge from-layer="81" from-port="2" to-layer="82" to-port="0" />
		<edge from-layer="82" from-port="2" to-layer="84" to-port="0" />
		<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
		<edge from-layer="84" from-port="2" to-layer="85" to-port="1" />
		<edge from-layer="85" from-port="2" to-layer="94" to-port="0" />
		<edge from-layer="86" from-port="0" to-layer="87" to-port="0" />
		<edge from-layer="87" from-port="1" to-layer="90" to-port="0" />
		<edge from-layer="88" from-port="0" to-layer="89" to-port="0" />
		<edge from-layer="89" from-port="1" to-layer="90" to-port="1" />
		<edge from-layer="90" from-port="2" to-layer="92" to-port="0" />
		<edge from-layer="91" from-port="0" to-layer="92" to-port="1" />
		<edge from-layer="92" from-port="2" 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="96" to-port="0" />
		<edge from-layer="95" from-port="0" to-layer="96" to-port="1" />
		<edge from-layer="96" from-port="2" to-layer="101" to-port="0" />
		<edge from-layer="97" from-port="0" to-layer="100" to-port="1" />
		<edge from-layer="98" from-port="0" to-layer="100" to-port="2" />
		<edge from-layer="99" from-port="0" to-layer="100" to-port="3" />
		<edge from-layer="100" from-port="4" to-layer="101" to-port="1" />
		<edge from-layer="101" from-port="2" to-layer="103" to-port="0" />
		<edge from-layer="102" from-port="0" to-layer="103" to-port="1" />
		<edge from-layer="103" from-port="2" to-layer="118" to-port="0" />
		<edge from-layer="103" from-port="2" to-layer="105" to-port="0" />
		<edge from-layer="104" from-port="0" to-layer="107" to-port="1" />
		<edge from-layer="104" from-port="0" to-layer="118" to-port="1" />
		<edge from-layer="105" from-port="1" to-layer="107" to-port="0" />
		<edge from-layer="106" from-port="0" to-layer="107" to-port="2" />
		<edge from-layer="106" from-port="0" to-layer="111" to-port="1" />
		<edge from-layer="107" from-port="3" to-layer="109" to-port="0" />
		<edge from-layer="107" from-port="3" to-layer="110" to-port="0" />
		<edge from-layer="108" from-port="0" to-layer="109" to-port="1" />
		<edge from-layer="108" from-port="0" to-layer="110" to-port="1" />
		<edge from-layer="109" from-port="2" to-layer="113" to-port="0" />
		<edge from-layer="110" from-port="2" to-layer="111" to-port="0" />
		<edge from-layer="111" from-port="2" to-layer="112" to-port="0" />
		<edge from-layer="112" from-port="1" to-layer="113" to-port="1" />
		<edge from-layer="113" from-port="2" to-layer="115" to-port="0" />
		<edge from-layer="114" from-port="0" to-layer="115" to-port="1" />
		<edge from-layer="115" from-port="2" to-layer="117" to-port="0" />
		<edge from-layer="116" from-port="0" to-layer="117" to-port="1" />
		<edge from-layer="117" from-port="2" to-layer="118" to-port="2" />
		<edge from-layer="118" from-port="3" to-layer="119" to-port="0" />
		<edge from-layer="118" from-port="4" to-layer="119" to-port="1" />
		<edge from-layer="118" from-port="5" to-layer="119" to-port="2" />
		<edge from-layer="119" from-port="3" to-layer="121" to-port="0" />
		<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
		<edge from-layer="121" from-port="2" to-layer="123" to-port="0" />
		<edge from-layer="122" from-port="0" to-layer="123" to-port="1" />
		<edge from-layer="123" from-port="2" to-layer="124" to-port="0" />
		<edge from-layer="124" from-port="2" to-layer="133" to-port="0" />
		<edge from-layer="125" from-port="0" to-layer="126" to-port="0" />
		<edge from-layer="126" from-port="1" to-layer="129" to-port="0" />
		<edge from-layer="127" from-port="0" to-layer="128" to-port="0" />
		<edge from-layer="128" from-port="1" to-layer="129" to-port="1" />
		<edge from-layer="129" from-port="2" to-layer="131" to-port="0" />
		<edge from-layer="130" from-port="0" to-layer="131" to-port="1" />
		<edge from-layer="131" from-port="2" to-layer="132" to-port="0" />
		<edge from-layer="132" from-port="1" to-layer="133" to-port="1" />
		<edge from-layer="133" from-port="2" to-layer="135" to-port="0" />
		<edge from-layer="134" from-port="0" to-layer="135" to-port="1" />
		<edge from-layer="135" from-port="2" to-layer="141" to-port="0" />
		<edge from-layer="136" from-port="0" to-layer="138" to-port="1" />
		<edge from-layer="137" from-port="0" to-layer="138" to-port="2" />
		<edge from-layer="138" from-port="3" to-layer="325" to-port="0" />
		<edge from-layer="138" from-port="3" to-layer="140" to-port="0" />
		<edge from-layer="138" from-port="3" to-layer="483" to-port="0" />
		<edge from-layer="138" from-port="3" to-layer="620" to-port="0" />
		<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
		<edge from-layer="140" from-port="3" to-layer="141" to-port="1" />
		<edge from-layer="141" from-port="2" to-layer="143" to-port="0" />
		<edge from-layer="142" from-port="0" to-layer="143" to-port="1" />
		<edge from-layer="143" from-port="2" to-layer="144" to-port="0" />
		<edge from-layer="144" from-port="2" to-layer="145" to-port="0" />
		<edge from-layer="144" from-port="2" to-layer="148" to-port="0" />
		<edge from-layer="144" from-port="2" to-layer="181" to-port="1" />
		<edge from-layer="145" from-port="2" to-layer="147" to-port="0" />
		<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
		<edge from-layer="147" from-port="2" to-layer="148" to-port="1" />
		<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
		<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
		<edge from-layer="150" from-port="2" to-layer="151" to-port="0" />
		<edge from-layer="151" from-port="1" to-layer="160" to-port="0" />
		<edge from-layer="152" from-port="0" to-layer="153" to-port="0" />
		<edge from-layer="153" from-port="1" to-layer="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="158" to-port="0" />
		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
		<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
		<edge from-layer="159" from-port="1" to-layer="160" to-port="1" />
		<edge from-layer="160" from-port="2" to-layer="162" to-port="0" />
		<edge from-layer="161" from-port="0" to-layer="162" to-port="1" />
		<edge from-layer="162" from-port="2" to-layer="163" to-port="0" />
		<edge from-layer="162" from-port="2" to-layer="166" to-port="0" />
		<edge from-layer="163" from-port="2" to-layer="165" to-port="0" />
		<edge from-layer="164" from-port="0" to-layer="165" to-port="1" />
		<edge from-layer="165" from-port="2" to-layer="166" to-port="1" />
		<edge from-layer="166" from-port="2" to-layer="168" to-port="0" />
		<edge from-layer="167" from-port="0" to-layer="168" to-port="1" />
		<edge from-layer="168" from-port="2" to-layer="169" to-port="0" />
		<edge from-layer="169" from-port="1" to-layer="178" to-port="0" />
		<edge from-layer="170" from-port="0" to-layer="171" to-port="0" />
		<edge from-layer="171" from-port="1" to-layer="174" to-port="0" />
		<edge from-layer="172" from-port="0" to-layer="173" to-port="0" />
		<edge from-layer="173" from-port="1" to-layer="174" to-port="1" />
		<edge from-layer="174" from-port="2" to-layer="176" to-port="0" />
		<edge from-layer="175" from-port="0" to-layer="176" to-port="1" />
		<edge from-layer="176" from-port="2" to-layer="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="180" to-port="0" />
		<edge from-layer="179" from-port="0" to-layer="180" to-port="1" />
		<edge from-layer="180" from-port="2" to-layer="181" to-port="0" />
		<edge from-layer="181" from-port="2" to-layer="182" to-port="0" />
		<edge from-layer="181" from-port="2" to-layer="185" to-port="0" />
		<edge from-layer="181" from-port="2" to-layer="218" to-port="1" />
		<edge from-layer="182" from-port="2" to-layer="184" to-port="0" />
		<edge from-layer="183" from-port="0" to-layer="184" to-port="1" />
		<edge from-layer="184" from-port="2" to-layer="185" to-port="1" />
		<edge from-layer="185" from-port="2" to-layer="187" to-port="0" />
		<edge from-layer="186" from-port="0" to-layer="187" to-port="1" />
		<edge from-layer="187" from-port="2" to-layer="188" to-port="0" />
		<edge from-layer="188" from-port="1" to-layer="197" to-port="0" />
		<edge from-layer="189" from-port="0" to-layer="190" to-port="0" />
		<edge from-layer="190" from-port="1" to-layer="193" to-port="0" />
		<edge from-layer="191" from-port="0" to-layer="192" to-port="0" />
		<edge from-layer="192" from-port="1" to-layer="193" to-port="1" />
		<edge from-layer="193" from-port="2" to-layer="195" to-port="0" />
		<edge from-layer="194" from-port="0" 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="1" to-layer="197" to-port="1" />
		<edge from-layer="197" from-port="2" to-layer="199" to-port="0" />
		<edge from-layer="198" from-port="0" to-layer="199" to-port="1" />
		<edge from-layer="199" from-port="2" to-layer="200" to-port="0" />
		<edge from-layer="199" from-port="2" to-layer="203" to-port="0" />
		<edge from-layer="200" from-port="2" to-layer="202" to-port="0" />
		<edge from-layer="201" from-port="0" to-layer="202" to-port="1" />
		<edge from-layer="202" from-port="2" to-layer="203" to-port="1" />
		<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
		<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
		<edge from-layer="205" from-port="2" to-layer="206" to-port="0" />
		<edge from-layer="206" from-port="1" to-layer="215" to-port="0" />
		<edge from-layer="207" from-port="0" to-layer="208" to-port="0" />
		<edge from-layer="208" from-port="1" to-layer="211" to-port="0" />
		<edge from-layer="209" from-port="0" to-layer="210" to-port="0" />
		<edge from-layer="210" from-port="1" to-layer="211" to-port="1" />
		<edge from-layer="211" from-port="2" to-layer="213" to-port="0" />
		<edge from-layer="212" from-port="0" to-layer="213" to-port="1" />
		<edge from-layer="213" from-port="2" to-layer="214" to-port="0" />
		<edge from-layer="214" from-port="1" to-layer="215" to-port="1" />
		<edge from-layer="215" from-port="2" to-layer="217" to-port="0" />
		<edge from-layer="216" from-port="0" 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="222" to-port="0" />
		<edge from-layer="218" from-port="2" to-layer="255" to-port="1" />
		<edge from-layer="218" from-port="2" to-layer="219" to-port="0" />
		<edge from-layer="219" from-port="2" to-layer="221" to-port="0" />
		<edge from-layer="220" from-port="0" to-layer="221" to-port="1" />
		<edge from-layer="221" from-port="2" to-layer="222" to-port="1" />
		<edge from-layer="222" from-port="2" to-layer="224" to-port="0" />
		<edge from-layer="223" from-port="0" to-layer="224" to-port="1" />
		<edge from-layer="224" from-port="2" to-layer="225" to-port="0" />
		<edge from-layer="225" from-port="1" to-layer="234" to-port="0" />
		<edge from-layer="226" from-port="0" to-layer="227" to-port="0" />
		<edge from-layer="227" from-port="1" to-layer="230" to-port="0" />
		<edge from-layer="228" from-port="0" to-layer="229" to-port="0" />
		<edge from-layer="229" from-port="1" to-layer="230" to-port="1" />
		<edge from-layer="230" from-port="2" to-layer="232" to-port="0" />
		<edge from-layer="231" from-port="0" 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="234" to-port="1" />
		<edge from-layer="234" from-port="2" to-layer="236" to-port="0" />
		<edge from-layer="235" from-port="0" to-layer="236" to-port="1" />
		<edge from-layer="236" from-port="2" to-layer="237" to-port="0" />
		<edge from-layer="236" from-port="2" to-layer="240" to-port="0" />
		<edge from-layer="237" from-port="2" to-layer="239" to-port="0" />
		<edge from-layer="238" from-port="0" to-layer="239" to-port="1" />
		<edge from-layer="239" from-port="2" to-layer="240" to-port="1" />
		<edge from-layer="240" from-port="2" to-layer="242" to-port="0" />
		<edge from-layer="241" from-port="0" to-layer="242" to-port="1" />
		<edge from-layer="242" from-port="2" to-layer="243" to-port="0" />
		<edge from-layer="243" from-port="1" to-layer="252" to-port="0" />
		<edge from-layer="244" from-port="0" to-layer="245" to-port="0" />
		<edge from-layer="245" from-port="1" to-layer="248" to-port="0" />
		<edge from-layer="246" from-port="0" to-layer="247" to-port="0" />
		<edge from-layer="247" from-port="1" to-layer="248" to-port="1" />
		<edge from-layer="248" from-port="2" to-layer="250" to-port="0" />
		<edge from-layer="249" from-port="0" to-layer="250" to-port="1" />
		<edge from-layer="250" from-port="2" to-layer="251" to-port="0" />
		<edge from-layer="251" from-port="1" to-layer="252" to-port="1" />
		<edge from-layer="252" from-port="2" to-layer="254" to-port="0" />
		<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
		<edge from-layer="254" from-port="2" to-layer="255" to-port="0" />
		<edge from-layer="255" from-port="2" to-layer="256" to-port="0" />
		<edge from-layer="255" from-port="2" to-layer="292" to-port="1" />
		<edge from-layer="255" from-port="2" to-layer="259" to-port="0" />
		<edge from-layer="256" from-port="2" to-layer="258" to-port="0" />
		<edge from-layer="257" from-port="0" to-layer="258" to-port="1" />
		<edge from-layer="258" from-port="2" to-layer="259" to-port="1" />
		<edge from-layer="259" from-port="2" to-layer="261" to-port="0" />
		<edge from-layer="260" from-port="0" to-layer="261" to-port="1" />
		<edge from-layer="261" from-port="2" to-layer="262" to-port="0" />
		<edge from-layer="262" from-port="1" to-layer="271" to-port="0" />
		<edge from-layer="263" from-port="0" to-layer="264" to-port="0" />
		<edge from-layer="264" from-port="1" to-layer="267" to-port="0" />
		<edge from-layer="265" from-port="0" to-layer="266" to-port="0" />
		<edge from-layer="266" from-port="1" to-layer="267" to-port="1" />
		<edge from-layer="267" from-port="2" to-layer="269" to-port="0" />
		<edge from-layer="268" from-port="0" to-layer="269" to-port="1" />
		<edge from-layer="269" from-port="2" to-layer="270" to-port="0" />
		<edge from-layer="270" from-port="1" to-layer="271" to-port="1" />
		<edge from-layer="271" from-port="2" to-layer="273" to-port="0" />
		<edge from-layer="272" from-port="0" to-layer="273" to-port="1" />
		<edge from-layer="273" from-port="2" to-layer="274" to-port="0" />
		<edge from-layer="273" from-port="2" to-layer="277" to-port="0" />
		<edge from-layer="274" from-port="2" to-layer="276" to-port="0" />
		<edge from-layer="275" from-port="0" to-layer="276" to-port="1" />
		<edge from-layer="276" from-port="2" to-layer="277" to-port="1" />
		<edge from-layer="277" from-port="2" to-layer="279" to-port="0" />
		<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
		<edge from-layer="279" from-port="2" to-layer="280" to-port="0" />
		<edge from-layer="280" from-port="1" to-layer="289" to-port="0" />
		<edge from-layer="281" from-port="0" to-layer="282" to-port="0" />
		<edge from-layer="282" from-port="1" to-layer="285" to-port="0" />
		<edge from-layer="283" from-port="0" to-layer="284" to-port="0" />
		<edge from-layer="284" from-port="1" to-layer="285" to-port="1" />
		<edge from-layer="285" from-port="2" to-layer="287" to-port="0" />
		<edge from-layer="286" from-port="0" to-layer="287" to-port="1" />
		<edge from-layer="287" from-port="2" to-layer="288" to-port="0" />
		<edge from-layer="288" from-port="1" to-layer="289" to-port="1" />
		<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
		<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
		<edge from-layer="291" from-port="2" to-layer="292" to-port="0" />
		<edge from-layer="292" from-port="2" to-layer="294" to-port="0" />
		<edge from-layer="292" from-port="2" to-layer="295" to-port="0" />
		<edge from-layer="293" from-port="0" to-layer="294" to-port="1" />
		<edge from-layer="294" from-port="2" to-layer="305" to-port="0" />
		<edge from-layer="295" from-port="1" to-layer="303" to-port="0" />
		<edge from-layer="295" from-port="1" to-layer="298" to-port="0" />
		<edge from-layer="296" from-port="0" to-layer="298" to-port="1" />
		<edge from-layer="297" from-port="0" to-layer="298" to-port="2" />
		<edge from-layer="298" from-port="3" to-layer="299" to-port="1" />
		<edge from-layer="299" from-port="2" to-layer="304" to-port="0" />
		<edge from-layer="300" from-port="0" to-layer="304" to-port="1" />
		<edge from-layer="301" from-port="0" to-layer="303" to-port="1" />
		<edge from-layer="302" from-port="0" to-layer="303" to-port="2" />
		<edge from-layer="303" from-port="3" to-layer="304" to-port="2" />
		<edge from-layer="304" from-port="3" to-layer="305" to-port="1" />
		<edge from-layer="305" from-port="2" to-layer="308" to-port="0" />
		<edge from-layer="306" from-port="0" to-layer="308" to-port="1" />
		<edge from-layer="307" from-port="0" to-layer="308" to-port="2" />
		<edge from-layer="308" from-port="3" to-layer="317" to-port="0" />
		<edge from-layer="309" from-port="0" to-layer="310" to-port="0" />
		<edge from-layer="310" from-port="1" to-layer="313" to-port="0" />
		<edge from-layer="311" from-port="0" to-layer="312" to-port="0" />
		<edge from-layer="312" from-port="1" to-layer="313" to-port="1" />
		<edge from-layer="313" from-port="2" to-layer="315" to-port="0" />
		<edge from-layer="314" from-port="0" to-layer="315" to-port="1" />
		<edge from-layer="315" from-port="2" to-layer="316" to-port="0" />
		<edge from-layer="316" from-port="1" to-layer="317" to-port="1" />
		<edge from-layer="317" from-port="2" to-layer="319" to-port="0" />
		<edge from-layer="318" from-port="0" to-layer="319" to-port="1" />
		<edge from-layer="319" from-port="2" to-layer="326" to-port="0" />
		<edge from-layer="319" from-port="2" to-layer="321" to-port="0" />
		<edge from-layer="320" from-port="0" to-layer="325" to-port="1" />
		<edge from-layer="321" from-port="1" to-layer="324" to-port="0" />
		<edge from-layer="322" from-port="0" to-layer="324" to-port="1" />
		<edge from-layer="323" from-port="0" to-layer="324" to-port="2" />
		<edge from-layer="324" from-port="3" to-layer="325" to-port="2" />
		<edge from-layer="325" from-port="3" to-layer="326" to-port="1" />
		<edge from-layer="326" from-port="2" to-layer="328" to-port="0" />
		<edge from-layer="327" from-port="0" to-layer="328" to-port="1" />
		<edge from-layer="328" from-port="2" to-layer="329" to-port="0" />
		<edge from-layer="328" from-port="2" to-layer="332" to-port="0" />
		<edge from-layer="328" from-port="2" to-layer="373" to-port="0" />
		<edge from-layer="329" from-port="2" to-layer="331" to-port="0" />
		<edge from-layer="330" from-port="0" to-layer="331" to-port="1" />
		<edge from-layer="331" from-port="2" to-layer="332" to-port="1" />
		<edge from-layer="332" from-port="2" to-layer="334" to-port="0" />
		<edge from-layer="333" from-port="0" to-layer="334" to-port="1" />
		<edge from-layer="334" from-port="2" to-layer="335" to-port="0" />
		<edge from-layer="335" from-port="1" to-layer="344" to-port="0" />
		<edge from-layer="336" from-port="0" to-layer="337" to-port="0" />
		<edge from-layer="337" from-port="1" to-layer="340" to-port="0" />
		<edge from-layer="338" from-port="0" to-layer="339" to-port="0" />
		<edge from-layer="339" from-port="1" to-layer="340" to-port="1" />
		<edge from-layer="340" from-port="2" to-layer="342" to-port="0" />
		<edge from-layer="341" from-port="0" to-layer="342" to-port="1" />
		<edge from-layer="342" from-port="2" to-layer="343" to-port="0" />
		<edge from-layer="343" from-port="1" to-layer="344" to-port="1" />
		<edge from-layer="344" from-port="2" to-layer="346" to-port="0" />
		<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
		<edge from-layer="346" from-port="2" to-layer="347" to-port="0" />
		<edge from-layer="346" from-port="2" to-layer="350" to-port="0" />
		<edge from-layer="347" from-port="2" to-layer="349" to-port="0" />
		<edge from-layer="348" from-port="0" to-layer="349" to-port="1" />
		<edge from-layer="349" from-port="2" to-layer="350" to-port="1" />
		<edge from-layer="350" from-port="2" to-layer="352" to-port="0" />
		<edge from-layer="351" from-port="0" to-layer="352" to-port="1" />
		<edge from-layer="352" from-port="2" to-layer="353" to-port="0" />
		<edge from-layer="353" from-port="1" to-layer="362" to-port="0" />
		<edge from-layer="354" from-port="0" to-layer="355" to-port="0" />
		<edge from-layer="355" from-port="1" to-layer="358" to-port="0" />
		<edge from-layer="356" from-port="0" to-layer="357" to-port="0" />
		<edge from-layer="357" from-port="1" to-layer="358" to-port="1" />
		<edge from-layer="358" from-port="2" to-layer="360" to-port="0" />
		<edge from-layer="359" from-port="0" to-layer="360" to-port="1" />
		<edge from-layer="360" from-port="2" to-layer="361" to-port="0" />
		<edge from-layer="361" from-port="1" to-layer="362" to-port="1" />
		<edge from-layer="362" from-port="2" to-layer="364" to-port="0" />
		<edge from-layer="363" from-port="0" to-layer="364" to-port="1" />
		<edge from-layer="364" from-port="2" to-layer="376" to-port="0" />
		<edge from-layer="365" from-port="0" to-layer="366" to-port="0" />
		<edge from-layer="366" from-port="1" to-layer="369" to-port="0" />
		<edge from-layer="367" from-port="0" to-layer="368" to-port="0" />
		<edge from-layer="368" from-port="1" to-layer="369" to-port="1" />
		<edge from-layer="369" from-port="2" to-layer="371" to-port="0" />
		<edge from-layer="370" from-port="0" to-layer="371" to-port="1" />
		<edge from-layer="371" from-port="2" to-layer="372" to-port="0" />
		<edge from-layer="372" from-port="1" to-layer="373" to-port="1" />
		<edge from-layer="373" from-port="2" to-layer="375" to-port="0" />
		<edge from-layer="374" from-port="0" to-layer="375" to-port="1" />
		<edge from-layer="375" from-port="2" to-layer="376" to-port="1" />
		<edge from-layer="376" from-port="2" to-layer="413" to-port="1" />
		<edge from-layer="376" from-port="2" to-layer="377" to-port="0" />
		<edge from-layer="376" from-port="2" to-layer="380" to-port="0" />
		<edge from-layer="377" from-port="2" to-layer="379" to-port="0" />
		<edge from-layer="378" from-port="0" to-layer="379" to-port="1" />
		<edge from-layer="379" from-port="2" to-layer="380" to-port="1" />
		<edge from-layer="380" from-port="2" to-layer="382" to-port="0" />
		<edge from-layer="381" from-port="0" to-layer="382" to-port="1" />
		<edge from-layer="382" from-port="2" to-layer="383" to-port="0" />
		<edge from-layer="383" from-port="1" to-layer="392" to-port="0" />
		<edge from-layer="384" from-port="0" to-layer="385" to-port="0" />
		<edge from-layer="385" from-port="1" to-layer="388" to-port="0" />
		<edge from-layer="386" from-port="0" to-layer="387" to-port="0" />
		<edge from-layer="387" from-port="1" to-layer="388" to-port="1" />
		<edge from-layer="388" from-port="2" to-layer="390" to-port="0" />
		<edge from-layer="389" from-port="0" to-layer="390" to-port="1" />
		<edge from-layer="390" from-port="2" to-layer="391" to-port="0" />
		<edge from-layer="391" from-port="1" to-layer="392" to-port="1" />
		<edge from-layer="392" from-port="2" to-layer="394" to-port="0" />
		<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
		<edge from-layer="394" from-port="2" to-layer="398" to-port="0" />
		<edge from-layer="394" from-port="2" to-layer="395" to-port="0" />
		<edge from-layer="395" from-port="2" to-layer="397" to-port="0" />
		<edge from-layer="396" from-port="0" to-layer="397" to-port="1" />
		<edge from-layer="397" from-port="2" to-layer="398" to-port="1" />
		<edge from-layer="398" from-port="2" to-layer="400" to-port="0" />
		<edge from-layer="399" from-port="0" to-layer="400" to-port="1" />
		<edge from-layer="400" from-port="2" to-layer="401" to-port="0" />
		<edge from-layer="401" from-port="1" to-layer="410" to-port="0" />
		<edge from-layer="402" from-port="0" to-layer="403" to-port="0" />
		<edge from-layer="403" from-port="1" to-layer="406" to-port="0" />
		<edge from-layer="404" from-port="0" to-layer="405" to-port="0" />
		<edge from-layer="405" from-port="1" to-layer="406" to-port="1" />
		<edge from-layer="406" from-port="2" to-layer="408" to-port="0" />
		<edge from-layer="407" from-port="0" to-layer="408" to-port="1" />
		<edge from-layer="408" from-port="2" to-layer="409" to-port="0" />
		<edge from-layer="409" from-port="1" to-layer="410" to-port="1" />
		<edge from-layer="410" from-port="2" to-layer="412" to-port="0" />
		<edge from-layer="411" from-port="0" to-layer="412" to-port="1" />
		<edge from-layer="412" from-port="2" to-layer="413" to-port="0" />
		<edge from-layer="413" from-port="2" to-layer="450" to-port="1" />
		<edge from-layer="413" from-port="2" to-layer="414" to-port="0" />
		<edge from-layer="413" from-port="2" to-layer="417" to-port="0" />
		<edge from-layer="414" from-port="2" to-layer="416" to-port="0" />
		<edge from-layer="415" from-port="0" to-layer="416" to-port="1" />
		<edge from-layer="416" from-port="2" to-layer="417" to-port="1" />
		<edge from-layer="417" from-port="2" to-layer="419" to-port="0" />
		<edge from-layer="418" from-port="0" to-layer="419" to-port="1" />
		<edge from-layer="419" from-port="2" to-layer="420" to-port="0" />
		<edge from-layer="420" from-port="1" to-layer="429" to-port="0" />
		<edge from-layer="421" from-port="0" to-layer="422" to-port="0" />
		<edge from-layer="422" from-port="1" to-layer="425" to-port="0" />
		<edge from-layer="423" from-port="0" to-layer="424" to-port="0" />
		<edge from-layer="424" from-port="1" to-layer="425" to-port="1" />
		<edge from-layer="425" from-port="2" to-layer="427" to-port="0" />
		<edge from-layer="426" from-port="0" to-layer="427" to-port="1" />
		<edge from-layer="427" from-port="2" to-layer="428" to-port="0" />
		<edge from-layer="428" from-port="1" to-layer="429" to-port="1" />
		<edge from-layer="429" from-port="2" to-layer="431" to-port="0" />
		<edge from-layer="430" from-port="0" to-layer="431" to-port="1" />
		<edge from-layer="431" from-port="2" to-layer="432" to-port="0" />
		<edge from-layer="431" from-port="2" to-layer="435" to-port="0" />
		<edge from-layer="432" from-port="2" to-layer="434" to-port="0" />
		<edge from-layer="433" from-port="0" to-layer="434" to-port="1" />
		<edge from-layer="434" from-port="2" to-layer="435" to-port="1" />
		<edge from-layer="435" from-port="2" to-layer="437" to-port="0" />
		<edge from-layer="436" from-port="0" to-layer="437" to-port="1" />
		<edge from-layer="437" from-port="2" to-layer="438" to-port="0" />
		<edge from-layer="438" from-port="1" to-layer="447" to-port="0" />
		<edge from-layer="439" from-port="0" to-layer="440" to-port="0" />
		<edge from-layer="440" from-port="1" to-layer="443" to-port="0" />
		<edge from-layer="441" from-port="0" to-layer="442" to-port="0" />
		<edge from-layer="442" from-port="1" to-layer="443" to-port="1" />
		<edge from-layer="443" from-port="2" to-layer="445" to-port="0" />
		<edge from-layer="444" from-port="0" to-layer="445" to-port="1" />
		<edge from-layer="445" from-port="2" to-layer="446" to-port="0" />
		<edge from-layer="446" from-port="1" to-layer="447" to-port="1" />
		<edge from-layer="447" from-port="2" to-layer="449" to-port="0" />
		<edge from-layer="448" from-port="0" to-layer="449" to-port="1" />
		<edge from-layer="449" from-port="2" to-layer="450" to-port="0" />
		<edge from-layer="450" from-port="2" to-layer="452" to-port="0" />
		<edge from-layer="450" from-port="2" to-layer="453" to-port="0" />
		<edge from-layer="451" from-port="0" to-layer="452" to-port="1" />
		<edge from-layer="452" from-port="2" to-layer="463" to-port="0" />
		<edge from-layer="453" from-port="1" to-layer="461" to-port="0" />
		<edge from-layer="453" from-port="1" to-layer="456" to-port="0" />
		<edge from-layer="454" from-port="0" to-layer="456" to-port="1" />
		<edge from-layer="455" from-port="0" to-layer="456" to-port="2" />
		<edge from-layer="456" from-port="3" to-layer="457" to-port="1" />
		<edge from-layer="457" from-port="2" to-layer="462" to-port="0" />
		<edge from-layer="458" from-port="0" to-layer="462" to-port="1" />
		<edge from-layer="459" from-port="0" to-layer="461" to-port="1" />
		<edge from-layer="460" from-port="0" to-layer="461" to-port="2" />
		<edge from-layer="461" from-port="3" to-layer="462" to-port="2" />
		<edge from-layer="462" from-port="3" to-layer="463" to-port="1" />
		<edge from-layer="463" from-port="2" to-layer="466" to-port="0" />
		<edge from-layer="464" from-port="0" to-layer="466" to-port="1" />
		<edge from-layer="465" from-port="0" to-layer="466" to-port="2" />
		<edge from-layer="466" from-port="3" to-layer="475" to-port="0" />
		<edge from-layer="467" from-port="0" to-layer="468" to-port="0" />
		<edge from-layer="468" from-port="1" to-layer="471" to-port="0" />
		<edge from-layer="469" from-port="0" to-layer="470" to-port="0" />
		<edge from-layer="470" from-port="1" to-layer="471" to-port="1" />
		<edge from-layer="471" from-port="2" to-layer="473" to-port="0" />
		<edge from-layer="472" from-port="0" to-layer="473" to-port="1" />
		<edge from-layer="473" from-port="2" to-layer="474" to-port="0" />
		<edge from-layer="474" from-port="1" to-layer="475" to-port="1" />
		<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
		<edge from-layer="476" from-port="0" to-layer="477" to-port="1" />
		<edge from-layer="477" from-port="2" to-layer="484" to-port="0" />
		<edge from-layer="477" from-port="2" to-layer="479" to-port="0" />
		<edge from-layer="478" from-port="0" to-layer="483" to-port="1" />
		<edge from-layer="479" from-port="1" to-layer="600" to-port="1" />
		<edge from-layer="479" from-port="1" to-layer="482" to-port="0" />
		<edge from-layer="480" from-port="0" to-layer="482" to-port="1" />
		<edge from-layer="481" from-port="0" to-layer="482" to-port="2" />
		<edge from-layer="482" from-port="3" to-layer="483" to-port="2" />
		<edge from-layer="483" from-port="3" to-layer="484" to-port="1" />
		<edge from-layer="484" from-port="2" to-layer="486" to-port="0" />
		<edge from-layer="485" from-port="0" to-layer="486" to-port="1" />
		<edge from-layer="486" from-port="2" to-layer="490" to-port="0" />
		<edge from-layer="486" from-port="2" to-layer="523" to-port="1" />
		<edge from-layer="486" from-port="2" to-layer="487" to-port="0" />
		<edge from-layer="487" from-port="2" to-layer="489" to-port="0" />
		<edge from-layer="488" from-port="0" to-layer="489" to-port="1" />
		<edge from-layer="489" from-port="2" to-layer="490" to-port="1" />
		<edge from-layer="490" from-port="2" to-layer="492" to-port="0" />
		<edge from-layer="491" from-port="0" to-layer="492" to-port="1" />
		<edge from-layer="492" from-port="2" to-layer="493" to-port="0" />
		<edge from-layer="493" from-port="1" to-layer="502" to-port="0" />
		<edge from-layer="494" from-port="0" to-layer="495" to-port="0" />
		<edge from-layer="495" from-port="1" to-layer="498" to-port="0" />
		<edge from-layer="496" from-port="0" to-layer="497" to-port="0" />
		<edge from-layer="497" from-port="1" to-layer="498" to-port="1" />
		<edge from-layer="498" from-port="2" to-layer="500" to-port="0" />
		<edge from-layer="499" from-port="0" to-layer="500" to-port="1" />
		<edge from-layer="500" from-port="2" to-layer="501" to-port="0" />
		<edge from-layer="501" from-port="1" to-layer="502" to-port="1" />
		<edge from-layer="502" from-port="2" to-layer="504" to-port="0" />
		<edge from-layer="503" from-port="0" to-layer="504" to-port="1" />
		<edge from-layer="504" from-port="2" to-layer="505" to-port="0" />
		<edge from-layer="504" from-port="2" to-layer="508" to-port="0" />
		<edge from-layer="505" from-port="2" to-layer="507" to-port="0" />
		<edge from-layer="506" from-port="0" to-layer="507" to-port="1" />
		<edge from-layer="507" from-port="2" to-layer="508" to-port="1" />
		<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
		<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
		<edge from-layer="510" from-port="2" to-layer="511" to-port="0" />
		<edge from-layer="511" from-port="1" to-layer="520" to-port="0" />
		<edge from-layer="512" from-port="0" to-layer="513" to-port="0" />
		<edge from-layer="513" from-port="1" to-layer="516" to-port="0" />
		<edge from-layer="514" from-port="0" to-layer="515" to-port="0" />
		<edge from-layer="515" from-port="1" to-layer="516" to-port="1" />
		<edge from-layer="516" from-port="2" to-layer="518" to-port="0" />
		<edge from-layer="517" from-port="0" to-layer="518" to-port="1" />
		<edge from-layer="518" from-port="2" to-layer="519" to-port="0" />
		<edge from-layer="519" from-port="1" to-layer="520" to-port="1" />
		<edge from-layer="520" from-port="2" to-layer="522" to-port="0" />
		<edge from-layer="521" from-port="0" to-layer="522" to-port="1" />
		<edge from-layer="522" from-port="2" to-layer="523" to-port="0" />
		<edge from-layer="523" from-port="2" to-layer="524" to-port="0" />
		<edge from-layer="523" from-port="2" to-layer="527" to-port="0" />
		<edge from-layer="523" from-port="2" to-layer="560" to-port="1" />
		<edge from-layer="524" from-port="2" to-layer="526" to-port="0" />
		<edge from-layer="525" from-port="0" to-layer="526" to-port="1" />
		<edge from-layer="526" from-port="2" to-layer="527" to-port="1" />
		<edge from-layer="527" from-port="2" to-layer="529" to-port="0" />
		<edge from-layer="528" from-port="0" to-layer="529" to-port="1" />
		<edge from-layer="529" from-port="2" to-layer="530" to-port="0" />
		<edge from-layer="530" from-port="1" to-layer="539" to-port="0" />
		<edge from-layer="531" from-port="0" to-layer="532" to-port="0" />
		<edge from-layer="532" from-port="1" to-layer="535" to-port="0" />
		<edge from-layer="533" from-port="0" to-layer="534" to-port="0" />
		<edge from-layer="534" from-port="1" to-layer="535" to-port="1" />
		<edge from-layer="535" from-port="2" to-layer="537" to-port="0" />
		<edge from-layer="536" from-port="0" to-layer="537" to-port="1" />
		<edge from-layer="537" from-port="2" to-layer="538" to-port="0" />
		<edge from-layer="538" from-port="1" to-layer="539" to-port="1" />
		<edge from-layer="539" from-port="2" to-layer="541" to-port="0" />
		<edge from-layer="540" from-port="0" to-layer="541" to-port="1" />
		<edge from-layer="541" from-port="2" to-layer="542" to-port="0" />
		<edge from-layer="541" from-port="2" to-layer="545" to-port="0" />
		<edge from-layer="542" from-port="2" to-layer="544" to-port="0" />
		<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
		<edge from-layer="544" from-port="2" to-layer="545" to-port="1" />
		<edge from-layer="545" from-port="2" to-layer="547" to-port="0" />
		<edge from-layer="546" from-port="0" to-layer="547" to-port="1" />
		<edge from-layer="547" from-port="2" to-layer="548" to-port="0" />
		<edge from-layer="548" from-port="1" to-layer="557" to-port="0" />
		<edge from-layer="549" from-port="0" to-layer="550" to-port="0" />
		<edge from-layer="550" from-port="1" to-layer="553" to-port="0" />
		<edge from-layer="551" from-port="0" to-layer="552" to-port="0" />
		<edge from-layer="552" from-port="1" to-layer="553" to-port="1" />
		<edge from-layer="553" from-port="2" to-layer="555" to-port="0" />
		<edge from-layer="554" from-port="0" to-layer="555" to-port="1" />
		<edge from-layer="555" from-port="2" to-layer="556" to-port="0" />
		<edge from-layer="556" from-port="1" to-layer="557" to-port="1" />
		<edge from-layer="557" from-port="2" to-layer="559" to-port="0" />
		<edge from-layer="558" from-port="0" to-layer="559" to-port="1" />
		<edge from-layer="559" from-port="2" to-layer="560" to-port="0" />
		<edge from-layer="560" from-port="2" to-layer="564" to-port="0" />
		<edge from-layer="560" from-port="2" to-layer="561" to-port="0" />
		<edge from-layer="560" from-port="2" to-layer="597" to-port="1" />
		<edge from-layer="561" from-port="2" to-layer="563" to-port="0" />
		<edge from-layer="562" from-port="0" to-layer="563" to-port="1" />
		<edge from-layer="563" from-port="2" to-layer="564" to-port="1" />
		<edge from-layer="564" from-port="2" to-layer="566" to-port="0" />
		<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
		<edge from-layer="566" from-port="2" to-layer="567" to-port="0" />
		<edge from-layer="567" from-port="1" to-layer="576" to-port="0" />
		<edge from-layer="568" from-port="0" to-layer="569" to-port="0" />
		<edge from-layer="569" from-port="1" to-layer="572" to-port="0" />
		<edge from-layer="570" from-port="0" to-layer="571" to-port="0" />
		<edge from-layer="571" from-port="1" to-layer="572" to-port="1" />
		<edge from-layer="572" from-port="2" to-layer="574" to-port="0" />
		<edge from-layer="573" from-port="0" to-layer="574" to-port="1" />
		<edge from-layer="574" from-port="2" to-layer="575" to-port="0" />
		<edge from-layer="575" from-port="1" to-layer="576" to-port="1" />
		<edge from-layer="576" from-port="2" to-layer="578" to-port="0" />
		<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
		<edge from-layer="578" from-port="2" to-layer="582" to-port="0" />
		<edge from-layer="578" from-port="2" to-layer="579" to-port="0" />
		<edge from-layer="579" from-port="2" to-layer="581" to-port="0" />
		<edge from-layer="580" from-port="0" to-layer="581" to-port="1" />
		<edge from-layer="581" from-port="2" to-layer="582" to-port="1" />
		<edge from-layer="582" from-port="2" to-layer="584" to-port="0" />
		<edge from-layer="583" from-port="0" to-layer="584" to-port="1" />
		<edge from-layer="584" from-port="2" to-layer="585" to-port="0" />
		<edge from-layer="585" from-port="1" to-layer="594" to-port="0" />
		<edge from-layer="586" from-port="0" to-layer="587" to-port="0" />
		<edge from-layer="587" from-port="1" to-layer="590" to-port="0" />
		<edge from-layer="588" from-port="0" to-layer="589" to-port="0" />
		<edge from-layer="589" from-port="1" to-layer="590" to-port="1" />
		<edge from-layer="590" from-port="2" to-layer="592" to-port="0" />
		<edge from-layer="591" from-port="0" to-layer="592" to-port="1" />
		<edge from-layer="592" from-port="2" to-layer="593" to-port="0" />
		<edge from-layer="593" from-port="1" to-layer="594" to-port="1" />
		<edge from-layer="594" from-port="2" to-layer="596" to-port="0" />
		<edge from-layer="595" from-port="0" to-layer="596" to-port="1" />
		<edge from-layer="596" from-port="2" to-layer="597" to-port="0" />
		<edge from-layer="597" from-port="2" to-layer="599" to-port="0" />
		<edge from-layer="598" from-port="0" to-layer="599" to-port="1" />
		<edge from-layer="599" from-port="2" to-layer="600" to-port="0" />
		<edge from-layer="600" from-port="2" to-layer="603" to-port="0" />
		<edge from-layer="601" from-port="0" to-layer="603" to-port="1" />
		<edge from-layer="602" from-port="0" to-layer="603" to-port="2" />
		<edge from-layer="603" from-port="3" to-layer="612" to-port="0" />
		<edge from-layer="604" from-port="0" to-layer="605" to-port="0" />
		<edge from-layer="605" from-port="1" to-layer="608" to-port="0" />
		<edge from-layer="606" from-port="0" to-layer="607" to-port="0" />
		<edge from-layer="607" from-port="1" to-layer="608" to-port="1" />
		<edge from-layer="608" from-port="2" to-layer="610" to-port="0" />
		<edge from-layer="609" from-port="0" to-layer="610" to-port="1" />
		<edge from-layer="610" from-port="2" to-layer="611" to-port="0" />
		<edge from-layer="611" from-port="1" to-layer="612" to-port="1" />
		<edge from-layer="612" from-port="2" to-layer="614" to-port="0" />
		<edge from-layer="613" from-port="0" to-layer="614" to-port="1" />
		<edge from-layer="614" from-port="2" to-layer="621" to-port="0" />
		<edge from-layer="614" from-port="2" to-layer="616" to-port="0" />
		<edge from-layer="615" from-port="0" to-layer="620" to-port="1" />
		<edge from-layer="616" from-port="1" to-layer="619" to-port="0" />
		<edge from-layer="617" from-port="0" to-layer="619" to-port="1" />
		<edge from-layer="618" from-port="0" to-layer="619" to-port="2" />
		<edge from-layer="619" from-port="3" to-layer="620" to-port="2" />
		<edge from-layer="620" from-port="3" to-layer="621" to-port="1" />
		<edge from-layer="621" from-port="2" to-layer="623" to-port="0" />
		<edge from-layer="622" from-port="0" to-layer="623" to-port="1" />
		<edge from-layer="623" from-port="2" to-layer="627" to-port="0" />
		<edge from-layer="623" from-port="2" to-layer="624" to-port="0" />
		<edge from-layer="623" from-port="2" to-layer="660" to-port="1" />
		<edge from-layer="624" from-port="2" to-layer="626" to-port="0" />
		<edge from-layer="625" from-port="0" to-layer="626" to-port="1" />
		<edge from-layer="626" from-port="2" to-layer="627" to-port="1" />
		<edge from-layer="627" from-port="2" to-layer="629" to-port="0" />
		<edge from-layer="628" from-port="0" to-layer="629" to-port="1" />
		<edge from-layer="629" from-port="2" to-layer="630" to-port="0" />
		<edge from-layer="630" from-port="1" to-layer="639" to-port="0" />
		<edge from-layer="631" from-port="0" to-layer="632" to-port="0" />
		<edge from-layer="632" from-port="1" to-layer="635" to-port="0" />
		<edge from-layer="633" from-port="0" to-layer="634" to-port="0" />
		<edge from-layer="634" from-port="1" to-layer="635" to-port="1" />
		<edge from-layer="635" from-port="2" to-layer="637" to-port="0" />
		<edge from-layer="636" from-port="0" to-layer="637" to-port="1" />
		<edge from-layer="637" from-port="2" to-layer="638" to-port="0" />
		<edge from-layer="638" from-port="1" to-layer="639" to-port="1" />
		<edge from-layer="639" from-port="2" to-layer="641" to-port="0" />
		<edge from-layer="640" from-port="0" to-layer="641" to-port="1" />
		<edge from-layer="641" from-port="2" to-layer="645" to-port="0" />
		<edge from-layer="641" from-port="2" to-layer="642" to-port="0" />
		<edge from-layer="642" from-port="2" to-layer="644" to-port="0" />
		<edge from-layer="643" from-port="0" to-layer="644" to-port="1" />
		<edge from-layer="644" from-port="2" to-layer="645" to-port="1" />
		<edge from-layer="645" from-port="2" to-layer="647" to-port="0" />
		<edge from-layer="646" from-port="0" to-layer="647" to-port="1" />
		<edge from-layer="647" from-port="2" to-layer="648" to-port="0" />
		<edge from-layer="648" from-port="1" to-layer="657" to-port="0" />
		<edge from-layer="649" from-port="0" to-layer="650" to-port="0" />
		<edge from-layer="650" from-port="1" to-layer="653" to-port="0" />
		<edge from-layer="651" from-port="0" to-layer="652" to-port="0" />
		<edge from-layer="652" from-port="1" to-layer="653" to-port="1" />
		<edge from-layer="653" from-port="2" to-layer="655" to-port="0" />
		<edge from-layer="654" from-port="0" to-layer="655" to-port="1" />
		<edge from-layer="655" from-port="2" to-layer="656" to-port="0" />
		<edge from-layer="656" from-port="1" to-layer="657" to-port="1" />
		<edge from-layer="657" from-port="2" to-layer="659" to-port="0" />
		<edge from-layer="658" from-port="0" to-layer="659" to-port="1" />
		<edge from-layer="659" from-port="2" to-layer="660" to-port="0" />
		<edge from-layer="660" from-port="2" to-layer="661" to-port="0" />
		<edge from-layer="660" from-port="2" to-layer="664" to-port="0" />
		<edge from-layer="660" from-port="2" to-layer="697" to-port="1" />
		<edge from-layer="661" from-port="2" to-layer="663" to-port="0" />
		<edge from-layer="662" from-port="0" to-layer="663" to-port="1" />
		<edge from-layer="663" from-port="2" to-layer="664" to-port="1" />
		<edge from-layer="664" from-port="2" to-layer="666" to-port="0" />
		<edge from-layer="665" from-port="0" to-layer="666" to-port="1" />
		<edge from-layer="666" from-port="2" to-layer="667" to-port="0" />
		<edge from-layer="667" from-port="1" to-layer="676" to-port="0" />
		<edge from-layer="668" from-port="0" to-layer="669" to-port="0" />
		<edge from-layer="669" from-port="1" to-layer="672" to-port="0" />
		<edge from-layer="670" from-port="0" to-layer="671" to-port="0" />
		<edge from-layer="671" from-port="1" to-layer="672" to-port="1" />
		<edge from-layer="672" from-port="2" to-layer="674" to-port="0" />
		<edge from-layer="673" from-port="0" to-layer="674" to-port="1" />
		<edge from-layer="674" from-port="2" to-layer="675" to-port="0" />
		<edge from-layer="675" from-port="1" to-layer="676" to-port="1" />
		<edge from-layer="676" from-port="2" to-layer="678" to-port="0" />
		<edge from-layer="677" from-port="0" to-layer="678" to-port="1" />
		<edge from-layer="678" from-port="2" to-layer="682" to-port="0" />
		<edge from-layer="678" from-port="2" to-layer="679" to-port="0" />
		<edge from-layer="679" from-port="2" to-layer="681" to-port="0" />
		<edge from-layer="680" from-port="0" to-layer="681" to-port="1" />
		<edge from-layer="681" from-port="2" to-layer="682" to-port="1" />
		<edge from-layer="682" from-port="2" to-layer="684" to-port="0" />
		<edge from-layer="683" from-port="0" to-layer="684" to-port="1" />
		<edge from-layer="684" from-port="2" to-layer="685" to-port="0" />
		<edge from-layer="685" from-port="1" to-layer="694" to-port="0" />
		<edge from-layer="686" from-port="0" to-layer="687" to-port="0" />
		<edge from-layer="687" from-port="1" to-layer="690" to-port="0" />
		<edge from-layer="688" from-port="0" to-layer="689" to-port="0" />
		<edge from-layer="689" from-port="1" to-layer="690" to-port="1" />
		<edge from-layer="690" from-port="2" to-layer="692" to-port="0" />
		<edge from-layer="691" from-port="0" to-layer="692" to-port="1" />
		<edge from-layer="692" from-port="2" to-layer="693" to-port="0" />
		<edge from-layer="693" from-port="1" to-layer="694" to-port="1" />
		<edge from-layer="694" from-port="2" to-layer="696" to-port="0" />
		<edge from-layer="695" from-port="0" to-layer="696" to-port="1" />
		<edge from-layer="696" from-port="2" to-layer="697" to-port="0" />
		<edge from-layer="697" from-port="2" to-layer="734" to-port="1" />
		<edge from-layer="697" from-port="2" to-layer="698" to-port="0" />
		<edge from-layer="697" from-port="2" to-layer="701" to-port="0" />
		<edge from-layer="698" from-port="2" to-layer="700" to-port="0" />
		<edge from-layer="699" from-port="0" to-layer="700" to-port="1" />
		<edge from-layer="700" from-port="2" to-layer="701" to-port="1" />
		<edge from-layer="701" from-port="2" to-layer="703" to-port="0" />
		<edge from-layer="702" from-port="0" to-layer="703" to-port="1" />
		<edge from-layer="703" from-port="2" to-layer="704" to-port="0" />
		<edge from-layer="704" from-port="1" to-layer="713" to-port="0" />
		<edge from-layer="705" from-port="0" to-layer="706" to-port="0" />
		<edge from-layer="706" from-port="1" to-layer="709" to-port="0" />
		<edge from-layer="707" from-port="0" to-layer="708" to-port="0" />
		<edge from-layer="708" from-port="1" to-layer="709" to-port="1" />
		<edge from-layer="709" from-port="2" to-layer="711" to-port="0" />
		<edge from-layer="710" from-port="0" to-layer="711" to-port="1" />
		<edge from-layer="711" from-port="2" to-layer="712" to-port="0" />
		<edge from-layer="712" from-port="1" to-layer="713" to-port="1" />
		<edge from-layer="713" from-port="2" to-layer="715" to-port="0" />
		<edge from-layer="714" from-port="0" to-layer="715" to-port="1" />
		<edge from-layer="715" from-port="2" to-layer="719" to-port="0" />
		<edge from-layer="715" from-port="2" to-layer="716" to-port="0" />
		<edge from-layer="716" from-port="2" to-layer="718" to-port="0" />
		<edge from-layer="717" from-port="0" to-layer="718" to-port="1" />
		<edge from-layer="718" from-port="2" to-layer="719" to-port="1" />
		<edge from-layer="719" from-port="2" to-layer="721" to-port="0" />
		<edge from-layer="720" from-port="0" to-layer="721" to-port="1" />
		<edge from-layer="721" from-port="2" to-layer="722" to-port="0" />
		<edge from-layer="722" from-port="1" to-layer="731" to-port="0" />
		<edge from-layer="723" from-port="0" to-layer="724" to-port="0" />
		<edge from-layer="724" from-port="1" to-layer="727" to-port="0" />
		<edge from-layer="725" from-port="0" to-layer="726" to-port="0" />
		<edge from-layer="726" from-port="1" to-layer="727" to-port="1" />
		<edge from-layer="727" from-port="2" to-layer="729" to-port="0" />
		<edge from-layer="728" from-port="0" to-layer="729" to-port="1" />
		<edge from-layer="729" from-port="2" to-layer="730" to-port="0" />
		<edge from-layer="730" from-port="1" to-layer="731" to-port="1" />
		<edge from-layer="731" from-port="2" to-layer="733" to-port="0" />
		<edge from-layer="732" from-port="0" to-layer="733" to-port="1" />
		<edge from-layer="733" from-port="2" to-layer="734" to-port="0" />
		<edge from-layer="734" from-port="2" to-layer="735" to-port="0" />
		<edge from-layer="734" from-port="2" to-layer="738" to-port="0" />
		<edge from-layer="735" from-port="2" to-layer="737" to-port="0" />
		<edge from-layer="736" from-port="0" to-layer="737" to-port="1" />
		<edge from-layer="737" from-port="2" to-layer="738" to-port="1" />
		<edge from-layer="738" from-port="2" to-layer="740" to-port="0" />
		<edge from-layer="739" from-port="0" to-layer="740" to-port="1" />
		<edge from-layer="740" from-port="2" to-layer="741" to-port="0" />
		<edge from-layer="741" from-port="1" to-layer="750" to-port="0" />
		<edge from-layer="742" from-port="0" to-layer="743" to-port="0" />
		<edge from-layer="743" from-port="1" to-layer="746" to-port="0" />
		<edge from-layer="744" from-port="0" to-layer="745" to-port="0" />
		<edge from-layer="745" from-port="1" to-layer="746" to-port="1" />
		<edge from-layer="746" from-port="2" to-layer="748" to-port="0" />
		<edge from-layer="747" from-port="0" to-layer="748" to-port="1" />
		<edge from-layer="748" from-port="2" to-layer="749" to-port="0" />
		<edge from-layer="749" from-port="1" to-layer="750" to-port="1" />
		<edge from-layer="750" from-port="2" to-layer="752" to-port="0" />
		<edge from-layer="751" from-port="0" to-layer="752" to-port="1" />
		<edge from-layer="752" from-port="2" to-layer="753" to-port="0" />
		<edge from-layer="753" from-port="1" to-layer="754" to-port="0" />
	</edges>
	<rt_info>
		<info name="OpenVINO Runtime" value="2026.3.0-22451-8a17657b995-releases/2026/3" />
		<Runtime_version value="2026.3.0-22451-8a17657b995-releases/2026/3" />
		<conversion_parameters>
			<framework value="pytorch" />
			<is_python_object value="True" />
		</conversion_parameters>
		<nncf>
			<friendly_names_were_updated value="True" />
			<version value="3.3.0" />
			<weight_compression>
				<advanced_parameters value="{'statistics_path': None, 'lora_adapter_rank': 256, 'group_size_fallback_mode': 'error', 'min_adjusted_group_size': 32, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'backend_params': {}, 'codebook': None, 'adaptive_codebook_params': {'value_type': 'f8e4m3', 'across_blocks': False, 'num_elements': 16}}" />
				<all_layers value="False" />
				<awq value="False" />
				<backup_mode value="int8_asym" />
				<compression_format value="dequantize" />
				<gptq value="False" />
				<group_size value="64" />
				<ignored_scope value="[]" />
				<lora_correction value="False" />
				<mode value="int4_asym" />
				<ratio value="1.0" />
				<scale_estimation value="False" />
				<sensitivity_metric value="weight_quantization_error" />
			</weight_compression>
		</nncf>
	</rt_info>
</net>