diff --git "a/vae_decoder/openvino_model.xml" "b/vae_decoder/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder/openvino_model.xml"
@@ -0,0 +1,15588 @@
+<?xml version="1.0"?>
+<net name="Model9" version="11">
+	<layers>
+		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
+			<data shape="1,4,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="latent_sample">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.post_quant_conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="4, 4, 1, 1" offset="0" size="16" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Convert_12943" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.post_quant_conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="4, 1, 1, 1" offset="16" size="4" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Convert_12946" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Subtract_12947" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.post_quant_conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 1, 1, 1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.post_quant_conv.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.post_quant_conv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.post_quant_conv/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>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 4, 1, 1" offset="28" size="16" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.post_quant_conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="17">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.decoder.conv_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 4, 3, 3" offset="44" size="18432" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Convert_12954" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="self.decoder.conv_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="18476" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Convert_12957" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Subtract_12958" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.decoder.conv_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="18988" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.decoder.conv_in.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.decoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.decoder.conv_in/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>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20012" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="57,input.1">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_226038" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22076" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_226039" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="24124" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="74,input.3">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="75">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="26172" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Convert_12965" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="self.decoder.mid_block.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="2385468" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="Convert_12968" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Subtract_12969" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="self.decoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="2385980" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="self.decoder.mid_block.resnets.0.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="self.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="__module.decoder.mid_block.resnets.0.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="2387004" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="82,input.5">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="Constant_226040" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="2389052" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="Constant_226041" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="2391100" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="85,input.7">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="86,input.9">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="2393148" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="Convert_12976" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="self.decoder.mid_block.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="4752444" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="Convert_12979" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="Subtract_12980" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="self.decoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="4752956" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="self.decoder.mid_block.resnets.0.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="self.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="__module.decoder.mid_block.resnets.0.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="4753980" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="94,hidden_states.1">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="95,96,hidden_states.3">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="Constant_225681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756028" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="__module.decoder.mid_block.attentions.0/aten::size/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4756036" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="71" name="__module.decoder.mid_block.attentions.0/aten::size/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="103">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756040" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="29" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4756048" size="8" />
+			<output>
+				<port id="0" precision="I64" names="29" />
+			</output>
+		</layer>
+		<layer id="74" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4756036" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="75" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_2" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="105" />
+			</output>
+		</layer>
+		<layer id="76" name="28" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4756056" size="8" />
+			<output>
+				<port id="0" precision="I64" names="28" />
+			</output>
+		</layer>
+		<layer id="77" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4756036" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="78" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_3" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="107" />
+			</output>
+		</layer>
+		<layer id="79" name="__module.decoder.mid_block.attentions.0/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="109,110" />
+			</output>
+		</layer>
+		<layer id="80" name="Constant_1114289" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756064" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Concat" 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>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="111">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="112">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="4756072" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="113,hidden_states.5">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="4756072" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="115,input.11">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="Constant_226042" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1" offset="4756084" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Constant_226043" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1" offset="4758132" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="118">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="4760180" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Convert_13009" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="self.decoder.mid_block.attentions.0.to_q.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5022324" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="Convert_13012" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="Subtract_13013" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="self.decoder.mid_block.attentions.0.to_q.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5022836" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="self.decoder.mid_block.attentions.0.to_q.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="self.decoder.mid_block.attentions.0.to_q.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="Constant_226044" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5023860" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="__module.decoder.mid_block.attentions.0.to_q/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="122,query">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_3" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="Constant_225684" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756028" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4756036" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="112" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_4" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="114">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756064" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_1_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="5025908" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5025916" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Convert_12987" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5288060" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="Convert_12990" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="Subtract_12991" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="self.decoder.mid_block.attentions.0.to_k.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5288572" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="self.decoder.mid_block.attentions.0.to_k.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="Constant_226045" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5289596" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="__module.decoder.mid_block.attentions.0.to_k/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="125,key">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf_4" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="__module.decoder.mid_block.attentions.0/aten::size/Constant_4" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4756036" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="128" name="__module.decoder.mid_block.attentions.0/aten::size/Gather_5" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="129" />
+			</output>
+		</layer>
+		<layer id="129" name="__module.decoder.mid_block.attentions.0/aten::floor_divide/Floor" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I64" />
+			</input>
+			<output>
+				<port id="1" precision="I64" names="131,132,133,134,146,147,head_dim" />
+			</output>
+		</layer>
+		<layer id="130" name="Constant_1114290" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756064" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64" names="135,138,141">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="136">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="Constant_225766" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5291644" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="137">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="139">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="Constant_225768" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5291644" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="140">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5291676" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="Convert_12998" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5553820" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="Convert_13001" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="Subtract_13002" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="self.decoder.mid_block.attentions.0.to_v.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5554332" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="self.decoder.mid_block.attentions.0.to_v.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="Constant_226046" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5555356" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="128,value">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="142">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="Constant_225772" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5291644" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="143">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="__module.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>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="144,hidden_states.7">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="Constant_225774" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="5557404" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="145">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Concat_4" 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>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="148">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="__module.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>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="149,150,hidden_states.9">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="5557436" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="Convert_13020" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="5819580" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="Convert_13023" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="Subtract_13024" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="self.decoder.mid_block.attentions.0.to_out.0.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="5820092" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="self.decoder.mid_block.attentions.0.to_out.0.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="Constant_226047" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="5821116" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="153,input.13">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_7" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="4756072" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="155">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="Constant_1114291" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756064" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_1_5" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="173" name="Constant_1114292" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4756064" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_2_3" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="175" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Concat_5" 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" names="156">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="176" name="__module.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>512</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="157,hidden_states.13">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="158,159,hidden_states.15,input.15">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="Constant_226048" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="5823164" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="Constant_226049" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="5825212" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="168,input.17">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_2" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="169">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="5827260" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="Convert_13031" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="self.decoder.mid_block.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="8186556" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="Convert_13034" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="Subtract_13035" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="self.decoder.mid_block.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="8187068" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="self.decoder.mid_block.resnets.1.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="self.decoder.mid_block.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" name="__module.decoder.mid_block.resnets.1.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="8188092" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="176,input.19">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="202" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="Constant_226050" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="8190140" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="Constant_226051" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="8192188" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="179,input.21">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_3" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="180,input.23">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="8194236" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="Convert_13042" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="self.decoder.mid_block.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="10553532" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Convert_13045" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="Subtract_13046" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="self.decoder.mid_block.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="10554044" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="self.decoder.mid_block.resnets.1.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="self.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="__module.decoder.mid_block.resnets.1.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="10555068" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="188,hidden_states.17">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="189,190,191,input.25,sample">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="Constant_226052" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="10557116" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="Constant_226053" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="10559164" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="207,input.27">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="208">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="10561212" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="Convert_13053" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="12920508" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="Convert_13056" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="Subtract_13057" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="12921020" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="__module.decoder.up_blocks.0.resnets.0.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="12922044" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="244" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="215,input.29">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="Constant_226054" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="12924092" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="Constant_226055" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="12926140" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="218,input.31">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_5" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="219,input.33">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="12928188" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="Convert_13064" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="15287484" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="Convert_13067" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="Subtract_13068" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="15287996" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="__module.decoder.up_blocks.0.resnets.0.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="15289020" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="227,hidden_states.19">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="228,229,input.35">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="Constant_226056" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="15291068" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="Constant_226057" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="15293116" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="237,input.37">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_6" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="238">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="15295164" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="Convert_13075" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="17654460" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="Convert_13078" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="Subtract_13079" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="17654972" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="__module.decoder.up_blocks.0.resnets.1.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="17655996" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="245,input.39">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="Constant_226058" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="17658044" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="Constant_226059" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="17660092" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="248,input.41">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_7" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="249,input.43">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="17662140" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="Convert_13086" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="20021436" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="Convert_13089" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="Subtract_13090" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="20021948" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="__module.decoder.up_blocks.0.resnets.1.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20022972" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="257,hidden_states.21">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="258,259,input.45">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="Constant_226060" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20025020" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="Constant_226061" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20027068" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="267,input.47">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_8" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="268">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="20029116" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Convert_13097" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="22388412" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="Convert_13100" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="Subtract_13101" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="22388924" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="__module.decoder.up_blocks.0.resnets.2.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22389948" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="275,input.49">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="Constant_226062" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22391996" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="Constant_226063" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22394044" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="278,input.51">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_9" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="279,input.53">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="22396092" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="Convert_13108" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="24755388" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="Convert_13111" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="Subtract_13112" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="24755900" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="__module.decoder.up_blocks.0.resnets.2.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="24756924" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="287,hidden_states.23">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="288,289,hidden_states.25">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758972" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="Constant_215241" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758980" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="__module.decoder.up_blocks.0.upsamplers.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>512</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="292">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="24758988" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="Convert_13119" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="27118284" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="Convert_13122" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="Subtract_13123" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="27118796" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="__module.decoder.up_blocks.0.upsamplers.0.conv/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="27119820" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="299,input.55">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="Constant_226064" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="27121868" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="Constant_226065" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="27123916" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="315,input.57">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_10" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="316">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="27125964" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="Convert_13130" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="29485260" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="Convert_13133" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="Subtract_13134" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="29485772" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="__module.decoder.up_blocks.1.resnets.0.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="29486796" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="393" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="323,input.59">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="394" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="Constant_226066" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="29488844" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="402" name="Constant_226067" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="29490892" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="326,input.61">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_11" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="327,input.63">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="29492940" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="Convert_13141" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="31852236" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="Convert_13144" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="Subtract_13145" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="31852748" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="__module.decoder.up_blocks.1.resnets.0.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="31853772" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="335,hidden_states.27">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="336,337,input.65">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="Constant_226068" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="31855820" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="Constant_226069" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="31857868" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="345,input.67">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_12" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="346">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="31859916" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="Convert_13152" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="34219212" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="Convert_13155" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="Subtract_13156" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="34219724" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="__module.decoder.up_blocks.1.resnets.1.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="34220748" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="353,input.69">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="Constant_226070" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="34222796" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="Constant_226071" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="34224844" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="356,input.71">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_13" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="357,input.73">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="34226892" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="Convert_13163" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="36586188" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="Convert_13166" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="Subtract_13167" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="36586700" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="456" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="457" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" name="__module.decoder.up_blocks.1.resnets.1.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="36587724" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="365,hidden_states.29">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="366,367,input.75">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="Constant_226072" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="36589772" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="Constant_226073" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="36591820" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="375,input.77">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_14" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="376">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="36593868" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="Convert_13174" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="38953164" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="Convert_13177" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="Subtract_13178" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="38953676" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="__module.decoder.up_blocks.1.resnets.2.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="38954700" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="383,input.79">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="Constant_226074" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="38956748" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="Constant_226075" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="38958796" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="386,input.81">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_15" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="387,input.83">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="38960844" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="Convert_13185" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="41320140" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="Convert_13188" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="Subtract_13189" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="41320652" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="__module.decoder.up_blocks.1.resnets.2.conv2/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="41321676" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="395,hidden_states.31">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="__module.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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="396,397,hidden_states.33">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758972" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="Constant_215787" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758980" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="__module.decoder.up_blocks.1.upsamplers.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>512</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="400">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512, 3, 3" offset="41323724" size="2359296" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="Convert_13196" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="43683020" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="Convert_13199" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="Subtract_13200" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="43683532" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="518" name="__module.decoder.up_blocks.1.upsamplers.0.conv/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="43684556" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="407,input.85">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 512, 1, 1" offset="43686604" size="131072" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="522" name="Convert_13229" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="43817676" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="Convert_13232" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="Subtract_13233" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="43817932" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="43818444" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="__module.decoder.up_blocks.2.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="451,input_tensor.1">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="Constant_226076" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="43819468" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="Constant_226077" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="43821516" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="424,input.87">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_16" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="425">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 512, 3, 3" offset="43823564" size="1179648" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="Convert_13207" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="45003212" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="Convert_13210" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="Subtract_13211" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="45003468" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="__module.decoder.up_blocks.2.resnets.0.conv1/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>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45003980" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="432,input.89">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="Constant_226078" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45005004" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="Constant_226079" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45006028" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="435,input.91">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="564" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_17" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="436,input.93">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="565" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="45007052" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="566" name="Convert_13218" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="45596876" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="Convert_13221" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="Subtract_13222" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="45597132" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="__module.decoder.up_blocks.2.resnets.0.conv2/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45597644" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="444,hidden_states.35">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="452,453,input.95">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="Constant_226080" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45598668" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="Constant_226081" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="45599692" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="586" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="461,input.97">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="587" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_18" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="462">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="45600716" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="Convert_13240" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="46190540" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="Convert_13243" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="Subtract_13244" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="46190796" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="__module.decoder.up_blocks.2.resnets.1.conv1/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46191308" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="469,input.99">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="Constant_226082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46192332" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="Constant_226083" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46193356" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="472,input.101">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_19" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="473,input.103">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="46194380" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="Convert_13251" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="46784204" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="Convert_13254" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="Subtract_13255" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="46784460" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="__module.decoder.up_blocks.2.resnets.1.conv2/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46784972" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="481,hidden_states.37">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="482,483,input.105">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="Constant_226084" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46785996" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="Constant_226085" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="46787020" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="491,input.107">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_20" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="492">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="46788044" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="Convert_13262" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="47377868" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="Convert_13265" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="Subtract_13266" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="47378124" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="__module.decoder.up_blocks.2.resnets.2.conv1/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47378636" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="499,input.109">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="650" name="Constant_226086" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47379660" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="651" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="Constant_226087" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47380684" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="653" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="502,input.111">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="654" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_21" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="503,input.113">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="655" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="47381708" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="Convert_13273" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="657" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="47971532" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="658" name="Convert_13276" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="Subtract_13277" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="47971788" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="663" name="__module.decoder.up_blocks.2.resnets.2.conv2/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="47972300" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="511,hidden_states.39">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="666" name="__module.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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="512,513,hidden_states.41">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="24758972" size="8" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="Constant_216382" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="24758980" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="__module.decoder.up_blocks.2.upsamplers.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>256</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="516">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="670" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 256, 3, 3" offset="47973324" size="589824" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="Convert_13284" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="672" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="256, 1, 1, 1" offset="48563148" size="256" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="Convert_13287" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="Subtract_13288" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 1, 1, 1" offset="48563404" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="677" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="__module.decoder.up_blocks.2.upsamplers.0.conv/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="679" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="48563916" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="680" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="523,input.115">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="681" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 256, 1, 1" offset="48564940" size="32768" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="Convert_13317" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="48597708" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="684" name="Convert_13320" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="Subtract_13321" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="48597836" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="689" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48598092" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="__module.decoder.up_blocks.3.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="565,input_tensor">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="692" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="693" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="696" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="Constant_226088" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="48598604" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="699" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="700" name="Constant_226089" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 256, 1, 1" offset="48599628" size="1024" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="701" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="538,input.117">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_22" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="539">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="703" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 256, 3, 3" offset="48600652" size="294912" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="Convert_13295" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="705" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="48895564" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="706" name="Convert_13298" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="707" name="Subtract_13299" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="48895692" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="709" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="710" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="711" name="__module.decoder.up_blocks.3.resnets.0.conv1/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>256</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="712" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48895948" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="713" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="546,input.119">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="714" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="715" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="716" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="717" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="718" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="719" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="720" name="Constant_226090" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48896460" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="721" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="722" name="Constant_226091" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="48896972" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="723" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="549,input.121">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="724" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_23" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="550,input.123">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="725" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="48897484" size="147456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="726" name="Convert_13306" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="727" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49044940" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="728" name="Convert_13309" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="729" name="Subtract_13310" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="730" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49045068" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="731" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="732" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="733" name="__module.decoder.up_blocks.3.resnets.0.conv2/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="734" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49045324" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="735" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="558,hidden_states.43">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="736" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="566,567,input.125">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="737" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="738" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="740" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="741" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="742" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="743" name="Constant_226092" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49045836" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="744" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="745" name="Constant_226093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49046348" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="746" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="575,input.127">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="747" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="576">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="748" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49046860" size="147456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="749" name="Convert_13328" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="750" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49194316" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="751" name="Convert_13331" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="752" name="Subtract_13332" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49194444" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="754" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="755" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="756" name="__module.decoder.up_blocks.3.resnets.1.conv1/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="757" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49194700" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="758" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="583,input.129">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="759" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="761" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="762" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="763" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="764" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="765" name="Constant_226094" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49195212" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="766" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="767" name="Constant_226095" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49195724" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="768" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="586,input.131">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="769" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="587,input.133">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="770" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49196236" size="147456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="771" name="Convert_13339" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="772" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49343692" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="773" name="Convert_13342" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="774" name="Subtract_13343" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49343820" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="778" name="__module.decoder.up_blocks.3.resnets.1.conv2/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="779" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49344076" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="780" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="595,hidden_states.45">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="781" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="596,597,input.135">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="782" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="784" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="785" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="786" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="787" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="788" name="Constant_226096" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49344588" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="789" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="790" name="Constant_226097" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49345100" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="605,input.137">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_26" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="606">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49345612" size="147456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="794" name="Convert_13350" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="795" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49493068" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="796" name="Convert_13353" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="797" name="Subtract_13354" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="798" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49493196" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="799" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="801" name="__module.decoder.up_blocks.3.resnets.2.conv1/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="802" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49493452" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="803" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="613,input.139">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="804" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="805" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="806" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="807" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="808" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="809" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="810" name="Constant_226098" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49493964" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="811" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="812" name="Constant_226099" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49494476" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="813" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="616,input.141">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="814" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="617,input.143">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 128, 3, 3" offset="49494988" size="147456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="816" name="Convert_13361" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="128, 1, 1, 1" offset="49642444" size="128" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="Convert_13364" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="Subtract_13365" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="820" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 1, 1, 1" offset="49642572" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="821" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="822" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="823" name="__module.decoder.up_blocks.3.resnets.2.conv2/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="824" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49642828" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="825" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="625,hidden_states">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="826" name="__module.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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="626,627,input.145">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="827" name="__module.decoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="829" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="830" name="__module.decoder.conv_norm_out/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="__module.decoder.conv_norm_out/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="__module.decoder.conv_norm_out/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="833" name="Constant_226100" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49643340" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="__module.decoder.conv_norm_out/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="835" name="Constant_226101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="49643852" size="512" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="836" name="__module.decoder.conv_norm_out/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="630,input">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="837" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="631">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="self.decoder.conv_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="3, 128, 3, 3" offset="49644364" size="3456" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="Convert_13372" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="840" name="self.decoder.conv_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="3, 1, 1, 1" offset="49647820" size="3" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="841" name="Convert_13375" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="842" name="Subtract_13376" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="843" name="self.decoder.conv_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 1, 1, 1" offset="49647823" size="6" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="844" name="self.decoder.conv_out.weight/scale_convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="845" name="self.decoder.conv_out.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="846" name="__module.decoder.conv_out/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>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>128</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>
+				</port>
+			</output>
+		</layer>
+		<layer id="847" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 3, 1, 1" offset="49647829" size="12" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="848" name="__module.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>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="sample">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="849" name="Result_221244" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</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="8" to-port="0" />
+		<edge from-layer="6" from-port="0" to-layer="7" to-port="0" />
+		<edge from-layer="7" from-port="1" to-layer="8" to-port="1" />
+		<edge from-layer="8" from-port="2" 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="20" to-port="0" />
+		<edge from-layer="12" from-port="0" to-layer="13" to-port="0" />
+		<edge from-layer="13" from-port="1" to-layer="16" to-port="0" />
+		<edge from-layer="14" from-port="0" to-layer="15" to-port="0" />
+		<edge from-layer="15" from-port="1" to-layer="16" to-port="1" />
+		<edge from-layer="16" from-port="2" to-layer="19" 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="19" to-port="1" />
+		<edge from-layer="19" from-port="2" to-layer="20" to-port="1" />
+		<edge from-layer="20" from-port="2" to-layer="22" to-port="0" />
+		<edge from-layer="21" from-port="0" to-layer="22" to-port="1" />
+		<edge from-layer="22" from-port="2" to-layer="67" to-port="0" />
+		<edge from-layer="22" from-port="2" to-layer="27" to-port="0" />
+		<edge from-layer="22" from-port="2" to-layer="24" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="24" to-port="1" />
+		<edge from-layer="24" from-port="2" to-layer="26" to-port="0" />
+		<edge from-layer="25" from-port="0" to-layer="26" to-port="1" />
+		<edge from-layer="26" from-port="2" to-layer="28" to-port="0" />
+		<edge from-layer="27" from-port="1" to-layer="28" to-port="1" />
+		<edge from-layer="28" from-port="2" to-layer="30" to-port="0" />
+		<edge from-layer="29" from-port="0" to-layer="30" to-port="1" />
+		<edge from-layer="30" from-port="2" to-layer="32" to-port="0" />
+		<edge from-layer="31" from-port="0" to-layer="32" to-port="1" />
+		<edge from-layer="32" from-port="2" to-layer="33" to-port="0" />
+		<edge from-layer="33" from-port="1" to-layer="42" to-port="0" />
+		<edge from-layer="34" from-port="0" to-layer="35" to-port="0" />
+		<edge from-layer="35" from-port="1" to-layer="38" to-port="0" />
+		<edge from-layer="36" from-port="0" to-layer="37" to-port="0" />
+		<edge from-layer="37" from-port="1" to-layer="38" to-port="1" />
+		<edge from-layer="38" from-port="2" to-layer="41" to-port="0" />
+		<edge from-layer="39" from-port="0" to-layer="40" to-port="0" />
+		<edge from-layer="40" from-port="1" to-layer="41" to-port="1" />
+		<edge from-layer="41" from-port="2" to-layer="42" to-port="1" />
+		<edge from-layer="42" from-port="2" to-layer="44" to-port="0" />
+		<edge from-layer="43" from-port="0" to-layer="44" to-port="1" />
+		<edge from-layer="44" from-port="2" to-layer="46" to-port="0" />
+		<edge from-layer="44" from-port="2" to-layer="49" 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="48" to-port="0" />
+		<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
+		<edge from-layer="48" from-port="2" to-layer="50" to-port="0" />
+		<edge from-layer="49" from-port="1" 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="54" to-port="0" />
+		<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
+		<edge from-layer="54" from-port="2" to-layer="55" to-port="0" />
+		<edge from-layer="55" from-port="1" to-layer="64" 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="60" to-port="0" />
+		<edge from-layer="58" from-port="0" to-layer="59" to-port="0" />
+		<edge from-layer="59" from-port="1" to-layer="60" to-port="1" />
+		<edge from-layer="60" from-port="2" to-layer="63" to-port="0" />
+		<edge from-layer="61" from-port="0" to-layer="62" to-port="0" />
+		<edge from-layer="62" from-port="1" to-layer="63" to-port="1" />
+		<edge from-layer="63" from-port="2" to-layer="64" to-port="1" />
+		<edge from-layer="64" from-port="2" to-layer="66" to-port="0" />
+		<edge from-layer="65" from-port="0" to-layer="66" to-port="1" />
+		<edge from-layer="66" from-port="2" to-layer="67" to-port="1" />
+		<edge from-layer="67" from-port="2" to-layer="68" to-port="0" />
+		<edge from-layer="67" from-port="2" to-layer="177" to-port="1" />
+		<edge from-layer="67" from-port="2" to-layer="83" to-port="0" />
+		<edge from-layer="68" from-port="1" to-layer="78" to-port="0" />
+		<edge from-layer="68" from-port="1" to-layer="75" to-port="0" />
+		<edge from-layer="68" from-port="1" to-layer="71" to-port="0" />
+		<edge from-layer="69" from-port="0" to-layer="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="82" to-port="0" />
+		<edge from-layer="72" from-port="0" to-layer="175" to-port="1" />
+		<edge from-layer="72" from-port="0" to-layer="82" to-port="1" />
+		<edge from-layer="73" from-port="0" to-layer="75" to-port="1" />
+		<edge from-layer="73" from-port="0" to-layer="128" to-port="1" />
+		<edge from-layer="74" from-port="0" to-layer="75" to-port="2" />
+		<edge from-layer="75" from-port="3" to-layer="79" to-port="0" />
+		<edge from-layer="75" from-port="3" to-layer="172" to-port="0" />
+		<edge from-layer="76" from-port="0" to-layer="78" to-port="1" />
+		<edge from-layer="77" from-port="0" to-layer="78" to-port="2" />
+		<edge from-layer="78" from-port="3" to-layer="79" to-port="1" />
+		<edge from-layer="78" from-port="3" to-layer="174" to-port="0" />
+		<edge from-layer="79" from-port="2" to-layer="81" to-port="0" />
+		<edge from-layer="80" from-port="0" to-layer="81" to-port="1" />
+		<edge from-layer="81" from-port="2" to-layer="82" to-port="2" />
+		<edge from-layer="82" from-port="3" to-layer="83" to-port="1" />
+		<edge from-layer="83" from-port="2" to-layer="85" to-port="0" />
+		<edge from-layer="84" from-port="0" to-layer="85" to-port="1" />
+		<edge from-layer="85" from-port="2" to-layer="109" to-port="0" />
+		<edge from-layer="85" from-port="2" to-layer="87" to-port="0" />
+		<edge from-layer="86" from-port="0" to-layer="87" to-port="1" />
+		<edge from-layer="87" from-port="2" to-layer="92" to-port="0" />
+		<edge from-layer="87" from-port="2" to-layer="89" to-port="0" />
+		<edge from-layer="88" from-port="0" to-layer="89" to-port="1" />
+		<edge from-layer="89" from-port="2" to-layer="91" to-port="0" />
+		<edge from-layer="90" from-port="0" to-layer="91" to-port="1" />
+		<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
+		<edge from-layer="92" from-port="1" to-layer="93" to-port="1" />
+		<edge from-layer="93" from-port="2" to-layer="95" to-port="0" />
+		<edge from-layer="94" from-port="0" to-layer="95" to-port="1" />
+		<edge from-layer="95" from-port="2" to-layer="97" to-port="0" />
+		<edge from-layer="96" from-port="0" to-layer="97" to-port="1" />
+		<edge from-layer="97" from-port="2" to-layer="123" to-port="0" />
+		<edge from-layer="97" from-port="2" to-layer="147" to-port="0" />
+		<edge from-layer="97" from-port="2" to-layer="106" to-port="0" />
+		<edge from-layer="98" from-port="0" to-layer="99" to-port="0" />
+		<edge from-layer="99" from-port="1" to-layer="102" to-port="0" />
+		<edge from-layer="100" from-port="0" to-layer="101" to-port="0" />
+		<edge from-layer="101" from-port="1" to-layer="102" to-port="1" />
+		<edge from-layer="102" from-port="2" to-layer="105" to-port="0" />
+		<edge from-layer="103" from-port="0" to-layer="104" to-port="0" />
+		<edge from-layer="104" from-port="1" to-layer="105" to-port="1" />
+		<edge from-layer="105" from-port="2" to-layer="106" to-port="1" />
+		<edge from-layer="106" from-port="2" to-layer="108" to-port="0" />
+		<edge from-layer="107" from-port="0" to-layer="108" to-port="1" />
+		<edge from-layer="108" from-port="2" to-layer="133" to-port="0" />
+		<edge from-layer="109" from-port="1" to-layer="112" to-port="0" />
+		<edge from-layer="110" from-port="0" to-layer="112" to-port="1" />
+		<edge from-layer="111" from-port="0" to-layer="112" to-port="2" />
+		<edge from-layer="112" from-port="3" to-layer="156" to-port="0" />
+		<edge from-layer="112" from-port="3" to-layer="175" to-port="0" />
+		<edge from-layer="112" from-port="3" to-layer="132" to-port="0" />
+		<edge from-layer="113" from-port="0" to-layer="156" to-port="1" />
+		<edge from-layer="113" from-port="0" to-layer="132" to-port="1" />
+		<edge from-layer="114" from-port="0" to-layer="132" to-port="2" />
+		<edge from-layer="115" from-port="0" to-layer="116" to-port="0" />
+		<edge from-layer="116" from-port="1" to-layer="119" to-port="0" />
+		<edge from-layer="117" from-port="0" to-layer="118" to-port="0" />
+		<edge from-layer="118" from-port="1" to-layer="119" to-port="1" />
+		<edge from-layer="119" from-port="2" to-layer="122" to-port="0" />
+		<edge from-layer="120" from-port="0" to-layer="121" to-port="0" />
+		<edge from-layer="121" from-port="1" to-layer="122" to-port="1" />
+		<edge from-layer="122" from-port="2" to-layer="123" to-port="1" />
+		<edge from-layer="123" from-port="2" to-layer="125" to-port="0" />
+		<edge from-layer="124" from-port="0" to-layer="125" to-port="1" />
+		<edge from-layer="125" from-port="2" to-layer="136" to-port="0" />
+		<edge from-layer="125" from-port="2" to-layer="126" to-port="0" />
+		<edge from-layer="126" from-port="1" to-layer="128" to-port="0" />
+		<edge from-layer="127" from-port="0" to-layer="128" to-port="2" />
+		<edge from-layer="128" from-port="3" to-layer="129" to-port="0" />
+		<edge from-layer="129" from-port="1" to-layer="131" to-port="0" />
+		<edge from-layer="130" from-port="0" to-layer="131" to-port="1" />
+		<edge from-layer="131" from-port="2" to-layer="132" to-port="3" />
+		<edge from-layer="131" from-port="2" to-layer="156" to-port="2" />
+		<edge from-layer="132" from-port="4" to-layer="150" to-port="1" />
+		<edge from-layer="132" from-port="4" to-layer="136" to-port="1" />
+		<edge from-layer="132" from-port="4" 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="153" to-port="0" />
+		<edge from-layer="136" from-port="2" to-layer="138" to-port="0" />
+		<edge from-layer="137" from-port="0" to-layer="138" to-port="1" />
+		<edge from-layer="138" from-port="2" to-layer="153" to-port="1" />
+		<edge from-layer="139" from-port="0" to-layer="140" to-port="0" />
+		<edge from-layer="140" from-port="1" to-layer="143" to-port="0" />
+		<edge from-layer="141" from-port="0" to-layer="142" to-port="0" />
+		<edge from-layer="142" from-port="1" to-layer="143" to-port="1" />
+		<edge from-layer="143" from-port="2" to-layer="146" to-port="0" />
+		<edge from-layer="144" from-port="0" to-layer="145" to-port="0" />
+		<edge from-layer="145" from-port="1" to-layer="146" to-port="1" />
+		<edge from-layer="146" from-port="2" to-layer="147" to-port="1" />
+		<edge from-layer="147" from-port="2" to-layer="149" to-port="0" />
+		<edge from-layer="148" from-port="0" to-layer="149" to-port="1" />
+		<edge from-layer="149" from-port="2" to-layer="150" to-port="0" />
+		<edge from-layer="150" from-port="2" to-layer="152" to-port="0" />
+		<edge from-layer="151" from-port="0" to-layer="152" to-port="1" />
+		<edge from-layer="152" from-port="2" to-layer="153" to-port="2" />
+		<edge from-layer="153" from-port="3" to-layer="155" to-port="0" />
+		<edge from-layer="154" from-port="0" to-layer="155" to-port="1" />
+		<edge from-layer="155" from-port="2" to-layer="157" to-port="0" />
+		<edge from-layer="156" from-port="3" to-layer="157" to-port="1" />
+		<edge from-layer="157" from-port="2" to-layer="166" to-port="0" />
+		<edge from-layer="158" from-port="0" to-layer="159" to-port="0" />
+		<edge from-layer="159" from-port="1" to-layer="162" to-port="0" />
+		<edge from-layer="160" from-port="0" to-layer="161" to-port="0" />
+		<edge from-layer="161" from-port="1" to-layer="162" to-port="1" />
+		<edge from-layer="162" from-port="2" to-layer="165" to-port="0" />
+		<edge from-layer="163" from-port="0" to-layer="164" to-port="0" />
+		<edge from-layer="164" from-port="1" to-layer="165" to-port="1" />
+		<edge from-layer="165" from-port="2" to-layer="166" to-port="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="170" to-port="0" />
+		<edge from-layer="169" from-port="0" to-layer="170" to-port="1" />
+		<edge from-layer="170" from-port="2" to-layer="176" to-port="0" />
+		<edge from-layer="171" from-port="0" to-layer="172" to-port="1" />
+		<edge from-layer="172" from-port="2" to-layer="175" to-port="2" />
+		<edge from-layer="173" from-port="0" to-layer="174" to-port="1" />
+		<edge from-layer="174" from-port="2" to-layer="175" to-port="3" />
+		<edge from-layer="175" from-port="4" 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="2" to-layer="222" to-port="0" />
+		<edge from-layer="177" from-port="2" to-layer="182" to-port="0" />
+		<edge from-layer="177" from-port="2" to-layer="179" to-port="0" />
+		<edge from-layer="178" from-port="0" to-layer="179" to-port="1" />
+		<edge from-layer="179" from-port="2" to-layer="181" to-port="0" />
+		<edge from-layer="180" from-port="0" to-layer="181" to-port="1" />
+		<edge from-layer="181" from-port="2" to-layer="183" to-port="0" />
+		<edge from-layer="182" from-port="1" to-layer="183" to-port="1" />
+		<edge from-layer="183" from-port="2" to-layer="185" to-port="0" />
+		<edge from-layer="184" from-port="0" 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="196" to-port="0" />
+		<edge from-layer="194" from-port="0" to-layer="195" to-port="0" />
+		<edge from-layer="195" from-port="1" to-layer="196" to-port="1" />
+		<edge from-layer="196" from-port="2" to-layer="197" to-port="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="201" to-port="0" />
+		<edge from-layer="199" from-port="2" to-layer="204" to-port="0" />
+		<edge from-layer="200" from-port="0" to-layer="201" to-port="1" />
+		<edge from-layer="201" from-port="2" to-layer="203" to-port="0" />
+		<edge from-layer="202" from-port="0" 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="1" to-layer="205" to-port="1" />
+		<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
+		<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
+		<edge from-layer="207" from-port="2" to-layer="209" to-port="0" />
+		<edge from-layer="208" from-port="0" to-layer="209" to-port="1" />
+		<edge from-layer="209" from-port="2" to-layer="210" to-port="0" />
+		<edge from-layer="210" from-port="1" to-layer="219" to-port="0" />
+		<edge from-layer="211" from-port="0" to-layer="212" to-port="0" />
+		<edge from-layer="212" from-port="1" to-layer="215" to-port="0" />
+		<edge from-layer="213" from-port="0" to-layer="214" to-port="0" />
+		<edge from-layer="214" from-port="1" to-layer="215" to-port="1" />
+		<edge from-layer="215" from-port="2" to-layer="218" to-port="0" />
+		<edge from-layer="216" from-port="0" to-layer="217" to-port="0" />
+		<edge from-layer="217" from-port="1" to-layer="218" to-port="1" />
+		<edge from-layer="218" from-port="2" to-layer="219" to-port="1" />
+		<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="267" to-port="0" />
+		<edge from-layer="222" from-port="2" to-layer="227" to-port="0" />
+		<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="226" to-port="0" />
+		<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
+		<edge from-layer="226" from-port="2" to-layer="228" to-port="0" />
+		<edge from-layer="227" from-port="1" to-layer="228" to-port="1" />
+		<edge from-layer="228" from-port="2" to-layer="230" to-port="0" />
+		<edge from-layer="229" from-port="0" 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="242" to-port="0" />
+		<edge from-layer="234" from-port="0" to-layer="235" to-port="0" />
+		<edge from-layer="235" from-port="1" to-layer="238" to-port="0" />
+		<edge from-layer="236" from-port="0" to-layer="237" to-port="0" />
+		<edge from-layer="237" from-port="1" to-layer="238" to-port="1" />
+		<edge from-layer="238" from-port="2" to-layer="241" to-port="0" />
+		<edge from-layer="239" from-port="0" to-layer="240" to-port="0" />
+		<edge from-layer="240" from-port="1" to-layer="241" to-port="1" />
+		<edge from-layer="241" from-port="2" to-layer="242" to-port="1" />
+		<edge from-layer="242" from-port="2" to-layer="244" to-port="0" />
+		<edge from-layer="243" from-port="0" to-layer="244" to-port="1" />
+		<edge from-layer="244" from-port="2" to-layer="246" to-port="0" />
+		<edge from-layer="244" from-port="2" to-layer="249" to-port="0" />
+		<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
+		<edge from-layer="246" from-port="2" to-layer="248" to-port="0" />
+		<edge from-layer="247" from-port="0" 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="1" to-layer="250" to-port="1" />
+		<edge from-layer="250" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="251" from-port="0" 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="1" to-layer="264" to-port="0" />
+		<edge from-layer="256" from-port="0" to-layer="257" to-port="0" />
+		<edge from-layer="257" from-port="1" to-layer="260" to-port="0" />
+		<edge from-layer="258" from-port="0" to-layer="259" to-port="0" />
+		<edge from-layer="259" from-port="1" to-layer="260" to-port="1" />
+		<edge from-layer="260" from-port="2" to-layer="263" to-port="0" />
+		<edge from-layer="261" from-port="0" to-layer="262" to-port="0" />
+		<edge from-layer="262" from-port="1" to-layer="263" to-port="1" />
+		<edge from-layer="263" from-port="2" to-layer="264" to-port="1" />
+		<edge from-layer="264" from-port="2" to-layer="266" to-port="0" />
+		<edge from-layer="265" from-port="0" to-layer="266" to-port="1" />
+		<edge from-layer="266" from-port="2" to-layer="267" to-port="1" />
+		<edge from-layer="267" from-port="2" to-layer="312" to-port="0" />
+		<edge from-layer="267" from-port="2" to-layer="272" to-port="0" />
+		<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="271" to-port="0" />
+		<edge from-layer="270" from-port="0" 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="1" to-layer="273" to-port="1" />
+		<edge from-layer="273" from-port="2" to-layer="275" to-port="0" />
+		<edge from-layer="274" from-port="0" to-layer="275" to-port="1" />
+		<edge from-layer="275" from-port="2" to-layer="277" to-port="0" />
+		<edge from-layer="276" from-port="0" to-layer="277" to-port="1" />
+		<edge from-layer="277" from-port="2" to-layer="278" to-port="0" />
+		<edge from-layer="278" from-port="1" to-layer="287" to-port="0" />
+		<edge from-layer="279" from-port="0" to-layer="280" to-port="0" />
+		<edge from-layer="280" from-port="1" to-layer="283" 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="283" to-port="1" />
+		<edge from-layer="283" from-port="2" to-layer="286" to-port="0" />
+		<edge from-layer="284" from-port="0" to-layer="285" to-port="0" />
+		<edge from-layer="285" from-port="1" to-layer="286" to-port="1" />
+		<edge from-layer="286" from-port="2" to-layer="287" to-port="1" />
+		<edge from-layer="287" from-port="2" to-layer="289" to-port="0" />
+		<edge from-layer="288" from-port="0" to-layer="289" to-port="1" />
+		<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
+		<edge from-layer="289" from-port="2" to-layer="294" to-port="0" />
+		<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
+		<edge from-layer="291" from-port="2" to-layer="293" to-port="0" />
+		<edge from-layer="292" from-port="0" to-layer="293" to-port="1" />
+		<edge from-layer="293" from-port="2" to-layer="295" to-port="0" />
+		<edge from-layer="294" from-port="1" to-layer="295" to-port="1" />
+		<edge from-layer="295" from-port="2" to-layer="297" to-port="0" />
+		<edge from-layer="296" from-port="0" to-layer="297" to-port="1" />
+		<edge from-layer="297" from-port="2" to-layer="299" to-port="0" />
+		<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
+		<edge from-layer="299" from-port="2" to-layer="300" to-port="0" />
+		<edge from-layer="300" from-port="1" to-layer="309" to-port="0" />
+		<edge from-layer="301" from-port="0" to-layer="302" to-port="0" />
+		<edge from-layer="302" from-port="1" to-layer="305" to-port="0" />
+		<edge from-layer="303" from-port="0" to-layer="304" to-port="0" />
+		<edge from-layer="304" from-port="1" 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="307" to-port="0" />
+		<edge from-layer="307" from-port="1" to-layer="308" to-port="1" />
+		<edge from-layer="308" from-port="2" to-layer="309" to-port="1" />
+		<edge from-layer="309" from-port="2" to-layer="311" to-port="0" />
+		<edge from-layer="310" from-port="0" to-layer="311" to-port="1" />
+		<edge from-layer="311" from-port="2" to-layer="312" to-port="1" />
+		<edge from-layer="312" from-port="2" to-layer="314" to-port="0" />
+		<edge from-layer="312" from-port="2" to-layer="357" to-port="0" />
+		<edge from-layer="312" from-port="2" to-layer="317" to-port="0" />
+		<edge from-layer="313" from-port="0" to-layer="314" to-port="1" />
+		<edge from-layer="314" from-port="2" to-layer="316" to-port="0" />
+		<edge from-layer="315" from-port="0" to-layer="316" to-port="1" />
+		<edge from-layer="316" from-port="2" to-layer="318" to-port="0" />
+		<edge from-layer="317" from-port="1" to-layer="318" to-port="1" />
+		<edge from-layer="318" from-port="2" to-layer="320" to-port="0" />
+		<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
+		<edge from-layer="320" from-port="2" to-layer="322" to-port="0" />
+		<edge from-layer="321" from-port="0" to-layer="322" to-port="1" />
+		<edge from-layer="322" from-port="2" to-layer="323" to-port="0" />
+		<edge from-layer="323" from-port="1" to-layer="332" to-port="0" />
+		<edge from-layer="324" from-port="0" to-layer="325" to-port="0" />
+		<edge from-layer="325" from-port="1" to-layer="328" to-port="0" />
+		<edge from-layer="326" from-port="0" to-layer="327" to-port="0" />
+		<edge from-layer="327" from-port="1" to-layer="328" to-port="1" />
+		<edge from-layer="328" from-port="2" to-layer="331" to-port="0" />
+		<edge from-layer="329" from-port="0" to-layer="330" to-port="0" />
+		<edge from-layer="330" from-port="1" 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="339" to-port="0" />
+		<edge from-layer="334" from-port="2" to-layer="336" to-port="0" />
+		<edge from-layer="335" from-port="0" to-layer="336" to-port="1" />
+		<edge from-layer="336" from-port="2" to-layer="338" to-port="0" />
+		<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
+		<edge from-layer="338" from-port="2" to-layer="340" 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="344" to-port="0" />
+		<edge from-layer="343" from-port="0" to-layer="344" to-port="1" />
+		<edge from-layer="344" from-port="2" to-layer="345" to-port="0" />
+		<edge from-layer="345" from-port="1" to-layer="354" to-port="0" />
+		<edge from-layer="346" from-port="0" to-layer="347" to-port="0" />
+		<edge from-layer="347" from-port="1" to-layer="350" to-port="0" />
+		<edge from-layer="348" from-port="0" to-layer="349" to-port="0" />
+		<edge from-layer="349" from-port="1" to-layer="350" to-port="1" />
+		<edge from-layer="350" from-port="2" to-layer="353" to-port="0" />
+		<edge from-layer="351" from-port="0" to-layer="352" to-port="0" />
+		<edge from-layer="352" from-port="1" to-layer="353" to-port="1" />
+		<edge from-layer="353" from-port="2" to-layer="354" to-port="1" />
+		<edge from-layer="354" from-port="2" to-layer="356" to-port="0" />
+		<edge from-layer="355" from-port="0" to-layer="356" to-port="1" />
+		<edge from-layer="356" from-port="2" to-layer="357" to-port="1" />
+		<edge from-layer="357" from-port="2" to-layer="360" to-port="0" />
+		<edge from-layer="358" from-port="0" to-layer="360" to-port="1" />
+		<edge from-layer="359" from-port="0" to-layer="360" to-port="2" />
+		<edge from-layer="360" from-port="3" to-layer="369" to-port="0" />
+		<edge from-layer="361" from-port="0" to-layer="362" to-port="0" />
+		<edge from-layer="362" from-port="1" to-layer="365" to-port="0" />
+		<edge from-layer="363" from-port="0" to-layer="364" to-port="0" />
+		<edge from-layer="364" from-port="1" to-layer="365" to-port="1" />
+		<edge from-layer="365" from-port="2" to-layer="368" to-port="0" />
+		<edge from-layer="366" from-port="0" to-layer="367" to-port="0" />
+		<edge from-layer="367" from-port="1" to-layer="368" to-port="1" />
+		<edge from-layer="368" from-port="2" 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="373" to-port="0" />
+		<edge from-layer="371" from-port="2" to-layer="376" to-port="0" />
+		<edge from-layer="371" from-port="2" to-layer="416" to-port="0" />
+		<edge from-layer="372" from-port="0" 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="377" to-port="0" />
+		<edge from-layer="376" from-port="1" to-layer="377" to-port="1" />
+		<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="381" to-port="0" />
+		<edge from-layer="380" from-port="0" to-layer="381" to-port="1" />
+		<edge from-layer="381" from-port="2" to-layer="382" to-port="0" />
+		<edge from-layer="382" from-port="1" to-layer="391" to-port="0" />
+		<edge from-layer="383" from-port="0" to-layer="384" to-port="0" />
+		<edge from-layer="384" from-port="1" to-layer="387" to-port="0" />
+		<edge from-layer="385" from-port="0" to-layer="386" to-port="0" />
+		<edge from-layer="386" from-port="1" to-layer="387" to-port="1" />
+		<edge from-layer="387" from-port="2" to-layer="390" to-port="0" />
+		<edge from-layer="388" from-port="0" to-layer="389" to-port="0" />
+		<edge from-layer="389" from-port="1" to-layer="390" to-port="1" />
+		<edge from-layer="390" from-port="2" to-layer="391" to-port="1" />
+		<edge from-layer="391" from-port="2" to-layer="393" to-port="0" />
+		<edge from-layer="392" from-port="0" to-layer="393" to-port="1" />
+		<edge from-layer="393" from-port="2" to-layer="395" to-port="0" />
+		<edge from-layer="393" from-port="2" to-layer="398" to-port="0" />
+		<edge from-layer="394" from-port="0" to-layer="395" to-port="1" />
+		<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="399" to-port="0" />
+		<edge from-layer="398" from-port="1" to-layer="399" to-port="1" />
+		<edge from-layer="399" from-port="2" to-layer="401" to-port="0" />
+		<edge from-layer="400" from-port="0" to-layer="401" to-port="1" />
+		<edge from-layer="401" from-port="2" to-layer="403" to-port="0" />
+		<edge from-layer="402" from-port="0" to-layer="403" to-port="1" />
+		<edge from-layer="403" from-port="2" to-layer="404" to-port="0" />
+		<edge from-layer="404" from-port="1" to-layer="413" to-port="0" />
+		<edge from-layer="405" from-port="0" to-layer="406" to-port="0" />
+		<edge from-layer="406" from-port="1" to-layer="409" to-port="0" />
+		<edge from-layer="407" from-port="0" to-layer="408" to-port="0" />
+		<edge from-layer="408" from-port="1" to-layer="409" to-port="1" />
+		<edge from-layer="409" from-port="2" to-layer="412" to-port="0" />
+		<edge from-layer="410" from-port="0" to-layer="411" to-port="0" />
+		<edge from-layer="411" from-port="1" to-layer="412" to-port="1" />
+		<edge from-layer="412" from-port="2" to-layer="413" to-port="1" />
+		<edge from-layer="413" from-port="2" to-layer="415" to-port="0" />
+		<edge from-layer="414" from-port="0" to-layer="415" to-port="1" />
+		<edge from-layer="415" from-port="2" to-layer="416" to-port="1" />
+		<edge from-layer="416" from-port="2" to-layer="418" to-port="0" />
+		<edge from-layer="416" from-port="2" to-layer="461" to-port="0" />
+		<edge from-layer="416" from-port="2" to-layer="421" to-port="0" />
+		<edge from-layer="417" from-port="0" to-layer="418" to-port="1" />
+		<edge from-layer="418" from-port="2" to-layer="420" to-port="0" />
+		<edge from-layer="419" from-port="0" to-layer="420" to-port="1" />
+		<edge from-layer="420" from-port="2" to-layer="422" to-port="0" />
+		<edge from-layer="421" from-port="1" to-layer="422" to-port="1" />
+		<edge from-layer="422" from-port="2" to-layer="424" to-port="0" />
+		<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
+		<edge from-layer="424" from-port="2" to-layer="426" to-port="0" />
+		<edge from-layer="425" from-port="0" to-layer="426" to-port="1" />
+		<edge from-layer="426" from-port="2" to-layer="427" to-port="0" />
+		<edge from-layer="427" from-port="1" to-layer="436" to-port="0" />
+		<edge from-layer="428" from-port="0" to-layer="429" to-port="0" />
+		<edge from-layer="429" from-port="1" to-layer="432" to-port="0" />
+		<edge from-layer="430" from-port="0" to-layer="431" to-port="0" />
+		<edge from-layer="431" from-port="1" to-layer="432" to-port="1" />
+		<edge from-layer="432" from-port="2" to-layer="435" to-port="0" />
+		<edge from-layer="433" from-port="0" to-layer="434" to-port="0" />
+		<edge from-layer="434" from-port="1" to-layer="435" to-port="1" />
+		<edge from-layer="435" from-port="2" to-layer="436" to-port="1" />
+		<edge from-layer="436" from-port="2" to-layer="438" to-port="0" />
+		<edge from-layer="437" from-port="0" to-layer="438" to-port="1" />
+		<edge from-layer="438" from-port="2" to-layer="440" to-port="0" />
+		<edge from-layer="438" from-port="2" to-layer="443" to-port="0" />
+		<edge from-layer="439" from-port="0" to-layer="440" to-port="1" />
+		<edge from-layer="440" from-port="2" to-layer="442" to-port="0" />
+		<edge from-layer="441" from-port="0" to-layer="442" to-port="1" />
+		<edge from-layer="442" from-port="2" to-layer="444" to-port="0" />
+		<edge from-layer="443" from-port="1" to-layer="444" to-port="1" />
+		<edge from-layer="444" from-port="2" to-layer="446" to-port="0" />
+		<edge from-layer="445" from-port="0" to-layer="446" to-port="1" />
+		<edge from-layer="446" from-port="2" to-layer="448" to-port="0" />
+		<edge from-layer="447" from-port="0" to-layer="448" to-port="1" />
+		<edge from-layer="448" from-port="2" to-layer="449" to-port="0" />
+		<edge from-layer="449" from-port="1" to-layer="458" to-port="0" />
+		<edge from-layer="450" from-port="0" to-layer="451" to-port="0" />
+		<edge from-layer="451" from-port="1" to-layer="454" to-port="0" />
+		<edge from-layer="452" from-port="0" to-layer="453" to-port="0" />
+		<edge from-layer="453" from-port="1" to-layer="454" to-port="1" />
+		<edge from-layer="454" from-port="2" to-layer="457" to-port="0" />
+		<edge from-layer="455" from-port="0" to-layer="456" to-port="0" />
+		<edge from-layer="456" from-port="1" to-layer="457" to-port="1" />
+		<edge from-layer="457" from-port="2" to-layer="458" to-port="1" />
+		<edge from-layer="458" from-port="2" to-layer="460" to-port="0" />
+		<edge from-layer="459" from-port="0" to-layer="460" to-port="1" />
+		<edge from-layer="460" from-port="2" to-layer="461" to-port="1" />
+		<edge from-layer="461" from-port="2" to-layer="466" to-port="0" />
+		<edge from-layer="461" from-port="2" to-layer="506" to-port="0" />
+		<edge from-layer="461" from-port="2" to-layer="463" to-port="0" />
+		<edge from-layer="462" from-port="0" to-layer="463" to-port="1" />
+		<edge from-layer="463" from-port="2" to-layer="465" to-port="0" />
+		<edge from-layer="464" from-port="0" to-layer="465" to-port="1" />
+		<edge from-layer="465" from-port="2" to-layer="467" to-port="0" />
+		<edge from-layer="466" from-port="1" to-layer="467" to-port="1" />
+		<edge from-layer="467" from-port="2" to-layer="469" to-port="0" />
+		<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
+		<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
+		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
+		<edge from-layer="471" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="472" from-port="1" to-layer="481" to-port="0" />
+		<edge from-layer="473" from-port="0" to-layer="474" to-port="0" />
+		<edge from-layer="474" from-port="1" to-layer="477" to-port="0" />
+		<edge from-layer="475" from-port="0" to-layer="476" to-port="0" />
+		<edge from-layer="476" from-port="1" to-layer="477" to-port="1" />
+		<edge from-layer="477" from-port="2" to-layer="480" to-port="0" />
+		<edge from-layer="478" from-port="0" to-layer="479" to-port="0" />
+		<edge from-layer="479" from-port="1" to-layer="480" to-port="1" />
+		<edge from-layer="480" from-port="2" to-layer="481" to-port="1" />
+		<edge from-layer="481" from-port="2" to-layer="483" to-port="0" />
+		<edge from-layer="482" from-port="0" to-layer="483" to-port="1" />
+		<edge from-layer="483" from-port="2" to-layer="488" to-port="0" />
+		<edge from-layer="483" from-port="2" to-layer="485" to-port="0" />
+		<edge from-layer="484" from-port="0" to-layer="485" to-port="1" />
+		<edge from-layer="485" from-port="2" to-layer="487" to-port="0" />
+		<edge from-layer="486" from-port="0" to-layer="487" to-port="1" />
+		<edge from-layer="487" from-port="2" to-layer="489" to-port="0" />
+		<edge from-layer="488" from-port="1" to-layer="489" to-port="1" />
+		<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
+		<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
+		<edge from-layer="491" from-port="2" to-layer="493" to-port="0" />
+		<edge from-layer="492" from-port="0" to-layer="493" to-port="1" />
+		<edge from-layer="493" from-port="2" to-layer="494" to-port="0" />
+		<edge from-layer="494" from-port="1" to-layer="503" to-port="0" />
+		<edge from-layer="495" from-port="0" to-layer="496" to-port="0" />
+		<edge from-layer="496" from-port="1" to-layer="499" to-port="0" />
+		<edge from-layer="497" from-port="0" to-layer="498" to-port="0" />
+		<edge from-layer="498" from-port="1" to-layer="499" to-port="1" />
+		<edge from-layer="499" from-port="2" to-layer="502" to-port="0" />
+		<edge from-layer="500" from-port="0" 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="503" to-port="1" />
+		<edge from-layer="503" from-port="2" to-layer="505" to-port="0" />
+		<edge from-layer="504" from-port="0" to-layer="505" to-port="1" />
+		<edge from-layer="505" from-port="2" to-layer="506" to-port="1" />
+		<edge from-layer="506" from-port="2" to-layer="509" to-port="0" />
+		<edge from-layer="507" from-port="0" to-layer="509" to-port="1" />
+		<edge from-layer="508" from-port="0" to-layer="509" to-port="2" />
+		<edge from-layer="509" from-port="3" to-layer="518" to-port="0" />
+		<edge from-layer="510" from-port="0" to-layer="511" to-port="0" />
+		<edge from-layer="511" from-port="1" to-layer="514" 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="514" to-port="1" />
+		<edge from-layer="514" from-port="2" to-layer="517" to-port="0" />
+		<edge from-layer="515" from-port="0" to-layer="516" to-port="0" />
+		<edge from-layer="516" from-port="1" to-layer="517" to-port="1" />
+		<edge from-layer="517" from-port="2" to-layer="518" to-port="1" />
+		<edge from-layer="518" from-port="2" to-layer="520" to-port="0" />
+		<edge from-layer="519" from-port="0" to-layer="520" to-port="1" />
+		<edge from-layer="520" from-port="2" to-layer="529" to-port="0" />
+		<edge from-layer="520" from-port="2" to-layer="536" to-port="0" />
+		<edge from-layer="520" from-port="2" to-layer="533" to-port="0" />
+		<edge from-layer="521" from-port="0" to-layer="522" to-port="0" />
+		<edge from-layer="522" from-port="1" to-layer="525" to-port="0" />
+		<edge from-layer="523" from-port="0" to-layer="524" to-port="0" />
+		<edge from-layer="524" from-port="1" to-layer="525" to-port="1" />
+		<edge from-layer="525" from-port="2" to-layer="528" to-port="0" />
+		<edge from-layer="526" from-port="0" to-layer="527" to-port="0" />
+		<edge from-layer="527" from-port="1" to-layer="528" to-port="1" />
+		<edge from-layer="528" from-port="2" to-layer="529" to-port="1" />
+		<edge from-layer="529" from-port="2" to-layer="531" to-port="0" />
+		<edge from-layer="530" from-port="0" to-layer="531" to-port="1" />
+		<edge from-layer="531" from-port="2" to-layer="576" to-port="0" />
+		<edge from-layer="532" from-port="0" to-layer="533" to-port="1" />
+		<edge from-layer="533" from-port="2" to-layer="535" to-port="0" />
+		<edge from-layer="534" from-port="0" 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="1" to-layer="537" to-port="1" />
+		<edge from-layer="537" from-port="2" to-layer="539" to-port="0" />
+		<edge from-layer="538" from-port="0" 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="542" from-port="1" to-layer="551" to-port="0" />
+		<edge from-layer="543" from-port="0" to-layer="544" to-port="0" />
+		<edge from-layer="544" from-port="1" to-layer="547" to-port="0" />
+		<edge from-layer="545" from-port="0" to-layer="546" to-port="0" />
+		<edge from-layer="546" from-port="1" to-layer="547" to-port="1" />
+		<edge from-layer="547" from-port="2" to-layer="550" to-port="0" />
+		<edge from-layer="548" from-port="0" to-layer="549" to-port="0" />
+		<edge from-layer="549" from-port="1" to-layer="550" to-port="1" />
+		<edge from-layer="550" from-port="2" to-layer="551" to-port="1" />
+		<edge from-layer="551" from-port="2" to-layer="553" to-port="0" />
+		<edge from-layer="552" from-port="0" to-layer="553" to-port="1" />
+		<edge from-layer="553" from-port="2" to-layer="555" to-port="0" />
+		<edge from-layer="553" from-port="2" to-layer="558" 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="557" to-port="0" />
+		<edge from-layer="556" from-port="0" to-layer="557" to-port="1" />
+		<edge from-layer="557" from-port="2" to-layer="559" to-port="0" />
+		<edge from-layer="558" from-port="1" to-layer="559" to-port="1" />
+		<edge from-layer="559" from-port="2" to-layer="561" to-port="0" />
+		<edge from-layer="560" from-port="0" to-layer="561" 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="0" />
+		<edge from-layer="564" from-port="1" to-layer="573" to-port="0" />
+		<edge from-layer="565" from-port="0" to-layer="566" to-port="0" />
+		<edge from-layer="566" from-port="1" to-layer="569" to-port="0" />
+		<edge from-layer="567" from-port="0" to-layer="568" to-port="0" />
+		<edge from-layer="568" from-port="1" to-layer="569" to-port="1" />
+		<edge from-layer="569" from-port="2" 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="573" to-port="1" />
+		<edge from-layer="573" from-port="2" to-layer="575" to-port="0" />
+		<edge from-layer="574" from-port="0" to-layer="575" to-port="1" />
+		<edge from-layer="575" from-port="2" to-layer="576" to-port="1" />
+		<edge from-layer="576" from-port="2" to-layer="578" to-port="0" />
+		<edge from-layer="576" from-port="2" to-layer="581" to-port="0" />
+		<edge from-layer="576" from-port="2" to-layer="621" 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="580" to-port="0" />
+		<edge from-layer="579" from-port="0" to-layer="580" to-port="1" />
+		<edge from-layer="580" from-port="2" to-layer="582" to-port="0" />
+		<edge from-layer="581" from-port="1" 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="586" to-port="0" />
+		<edge from-layer="585" from-port="0" to-layer="586" to-port="1" />
+		<edge from-layer="586" from-port="2" to-layer="587" to-port="0" />
+		<edge from-layer="587" from-port="1" to-layer="596" 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="592" to-port="0" />
+		<edge from-layer="590" from-port="0" to-layer="591" to-port="0" />
+		<edge from-layer="591" from-port="1" to-layer="592" to-port="1" />
+		<edge from-layer="592" from-port="2" to-layer="595" to-port="0" />
+		<edge from-layer="593" from-port="0" to-layer="594" to-port="0" />
+		<edge from-layer="594" from-port="1" to-layer="595" to-port="1" />
+		<edge from-layer="595" from-port="2" to-layer="596" to-port="1" />
+		<edge from-layer="596" from-port="2" to-layer="598" to-port="0" />
+		<edge from-layer="597" from-port="0" to-layer="598" to-port="1" />
+		<edge from-layer="598" from-port="2" to-layer="600" to-port="0" />
+		<edge from-layer="598" from-port="2" to-layer="603" to-port="0" />
+		<edge from-layer="599" from-port="0" to-layer="600" to-port="1" />
+		<edge from-layer="600" from-port="2" to-layer="602" to-port="0" />
+		<edge from-layer="601" from-port="0" to-layer="602" to-port="1" />
+		<edge from-layer="602" from-port="2" to-layer="604" to-port="0" />
+		<edge from-layer="603" from-port="1" to-layer="604" to-port="1" />
+		<edge from-layer="604" from-port="2" to-layer="606" to-port="0" />
+		<edge from-layer="605" from-port="0" to-layer="606" to-port="1" />
+		<edge from-layer="606" from-port="2" to-layer="608" to-port="0" />
+		<edge from-layer="607" from-port="0" to-layer="608" to-port="1" />
+		<edge from-layer="608" from-port="2" to-layer="609" to-port="0" />
+		<edge from-layer="609" from-port="1" to-layer="618" to-port="0" />
+		<edge from-layer="610" from-port="0" to-layer="611" to-port="0" />
+		<edge from-layer="611" from-port="1" to-layer="614" to-port="0" />
+		<edge from-layer="612" from-port="0" to-layer="613" to-port="0" />
+		<edge from-layer="613" from-port="1" to-layer="614" to-port="1" />
+		<edge from-layer="614" from-port="2" to-layer="617" to-port="0" />
+		<edge from-layer="615" from-port="0" to-layer="616" to-port="0" />
+		<edge from-layer="616" from-port="1" to-layer="617" to-port="1" />
+		<edge from-layer="617" from-port="2" to-layer="618" to-port="1" />
+		<edge from-layer="618" from-port="2" to-layer="620" to-port="0" />
+		<edge from-layer="619" from-port="0" to-layer="620" to-port="1" />
+		<edge from-layer="620" from-port="2" to-layer="621" to-port="1" />
+		<edge from-layer="621" from-port="2" to-layer="623" to-port="0" />
+		<edge from-layer="621" from-port="2" to-layer="626" to-port="0" />
+		<edge from-layer="621" from-port="2" to-layer="666" 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="625" to-port="0" />
+		<edge from-layer="624" from-port="0" to-layer="625" to-port="1" />
+		<edge from-layer="625" from-port="2" to-layer="627" to-port="0" />
+		<edge from-layer="626" from-port="1" 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="631" to-port="0" />
+		<edge from-layer="630" from-port="0" to-layer="631" to-port="1" />
+		<edge from-layer="631" from-port="2" to-layer="632" to-port="0" />
+		<edge from-layer="632" from-port="1" to-layer="641" 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="637" to-port="0" />
+		<edge from-layer="635" from-port="0" to-layer="636" to-port="0" />
+		<edge from-layer="636" from-port="1" to-layer="637" to-port="1" />
+		<edge from-layer="637" from-port="2" to-layer="640" to-port="0" />
+		<edge from-layer="638" from-port="0" to-layer="639" to-port="0" />
+		<edge from-layer="639" from-port="1" to-layer="640" to-port="1" />
+		<edge from-layer="640" from-port="2" to-layer="641" to-port="1" />
+		<edge from-layer="641" from-port="2" to-layer="643" to-port="0" />
+		<edge from-layer="642" from-port="0" to-layer="643" to-port="1" />
+		<edge from-layer="643" from-port="2" to-layer="645" to-port="0" />
+		<edge from-layer="643" from-port="2" to-layer="648" to-port="0" />
+		<edge from-layer="644" from-port="0" 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="649" to-port="0" />
+		<edge from-layer="648" from-port="1" to-layer="649" to-port="1" />
+		<edge from-layer="649" from-port="2" to-layer="651" to-port="0" />
+		<edge from-layer="650" from-port="0" to-layer="651" to-port="1" />
+		<edge from-layer="651" from-port="2" to-layer="653" to-port="0" />
+		<edge from-layer="652" from-port="0" to-layer="653" to-port="1" />
+		<edge from-layer="653" from-port="2" to-layer="654" to-port="0" />
+		<edge from-layer="654" from-port="1" to-layer="663" to-port="0" />
+		<edge from-layer="655" from-port="0" to-layer="656" to-port="0" />
+		<edge from-layer="656" from-port="1" to-layer="659" to-port="0" />
+		<edge from-layer="657" from-port="0" to-layer="658" to-port="0" />
+		<edge from-layer="658" from-port="1" to-layer="659" to-port="1" />
+		<edge from-layer="659" from-port="2" to-layer="662" to-port="0" />
+		<edge from-layer="660" from-port="0" to-layer="661" to-port="0" />
+		<edge from-layer="661" from-port="1" to-layer="662" to-port="1" />
+		<edge from-layer="662" from-port="2" to-layer="663" to-port="1" />
+		<edge from-layer="663" from-port="2" to-layer="665" to-port="0" />
+		<edge from-layer="664" from-port="0" to-layer="665" to-port="1" />
+		<edge from-layer="665" from-port="2" to-layer="666" to-port="1" />
+		<edge from-layer="666" from-port="2" to-layer="669" to-port="0" />
+		<edge from-layer="667" from-port="0" to-layer="669" to-port="1" />
+		<edge from-layer="668" from-port="0" to-layer="669" to-port="2" />
+		<edge from-layer="669" from-port="3" to-layer="678" 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="674" to-port="0" />
+		<edge from-layer="672" from-port="0" to-layer="673" to-port="0" />
+		<edge from-layer="673" from-port="1" to-layer="674" to-port="1" />
+		<edge from-layer="674" from-port="2" to-layer="677" to-port="0" />
+		<edge from-layer="675" from-port="0" to-layer="676" to-port="0" />
+		<edge from-layer="676" from-port="1" to-layer="677" to-port="1" />
+		<edge from-layer="677" from-port="2" to-layer="678" to-port="1" />
+		<edge from-layer="678" from-port="2" to-layer="680" to-port="0" />
+		<edge from-layer="679" from-port="0" to-layer="680" to-port="1" />
+		<edge from-layer="680" from-port="2" to-layer="693" to-port="0" />
+		<edge from-layer="680" from-port="2" to-layer="696" to-port="0" />
+		<edge from-layer="680" from-port="2" to-layer="689" to-port="0" />
+		<edge from-layer="681" from-port="0" to-layer="682" to-port="0" />
+		<edge from-layer="682" from-port="1" to-layer="685" to-port="0" />
+		<edge from-layer="683" from-port="0" to-layer="684" to-port="0" />
+		<edge from-layer="684" from-port="1" to-layer="685" to-port="1" />
+		<edge from-layer="685" from-port="2" to-layer="688" 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="688" to-port="1" />
+		<edge from-layer="688" from-port="2" to-layer="689" to-port="1" />
+		<edge from-layer="689" from-port="2" to-layer="691" to-port="0" />
+		<edge from-layer="690" from-port="0" to-layer="691" to-port="1" />
+		<edge from-layer="691" from-port="2" to-layer="736" to-port="0" />
+		<edge from-layer="692" from-port="0" to-layer="693" to-port="1" />
+		<edge from-layer="693" from-port="2" to-layer="695" to-port="0" />
+		<edge from-layer="694" from-port="0" to-layer="695" to-port="1" />
+		<edge from-layer="695" from-port="2" to-layer="697" to-port="0" />
+		<edge from-layer="696" from-port="1" to-layer="697" to-port="1" />
+		<edge from-layer="697" from-port="2" to-layer="699" to-port="0" />
+		<edge from-layer="698" from-port="0" to-layer="699" to-port="1" />
+		<edge from-layer="699" from-port="2" to-layer="701" to-port="0" />
+		<edge from-layer="700" from-port="0" to-layer="701" to-port="1" />
+		<edge from-layer="701" from-port="2" to-layer="702" to-port="0" />
+		<edge from-layer="702" from-port="1" to-layer="711" to-port="0" />
+		<edge from-layer="703" from-port="0" to-layer="704" to-port="0" />
+		<edge from-layer="704" from-port="1" to-layer="707" to-port="0" />
+		<edge from-layer="705" from-port="0" to-layer="706" to-port="0" />
+		<edge from-layer="706" from-port="1" to-layer="707" to-port="1" />
+		<edge from-layer="707" from-port="2" to-layer="710" to-port="0" />
+		<edge from-layer="708" from-port="0" to-layer="709" to-port="0" />
+		<edge from-layer="709" from-port="1" to-layer="710" to-port="1" />
+		<edge from-layer="710" from-port="2" to-layer="711" to-port="1" />
+		<edge from-layer="711" from-port="2" to-layer="713" to-port="0" />
+		<edge from-layer="712" from-port="0" to-layer="713" to-port="1" />
+		<edge from-layer="713" from-port="2" to-layer="715" to-port="0" />
+		<edge from-layer="713" from-port="2" to-layer="718" 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="717" to-port="0" />
+		<edge from-layer="716" from-port="0" to-layer="717" to-port="1" />
+		<edge from-layer="717" from-port="2" to-layer="719" to-port="0" />
+		<edge from-layer="718" from-port="1" 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="723" to-port="0" />
+		<edge from-layer="722" from-port="0" to-layer="723" to-port="1" />
+		<edge from-layer="723" from-port="2" to-layer="724" to-port="0" />
+		<edge from-layer="724" from-port="1" to-layer="733" 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="729" to-port="0" />
+		<edge from-layer="727" from-port="0" to-layer="728" to-port="0" />
+		<edge from-layer="728" from-port="1" to-layer="729" to-port="1" />
+		<edge from-layer="729" from-port="2" to-layer="732" to-port="0" />
+		<edge from-layer="730" from-port="0" to-layer="731" to-port="0" />
+		<edge from-layer="731" from-port="1" to-layer="732" to-port="1" />
+		<edge from-layer="732" from-port="2" to-layer="733" to-port="1" />
+		<edge from-layer="733" from-port="2" to-layer="735" to-port="0" />
+		<edge from-layer="734" from-port="0" to-layer="735" to-port="1" />
+		<edge from-layer="735" from-port="2" to-layer="736" to-port="1" />
+		<edge from-layer="736" from-port="2" to-layer="738" to-port="0" />
+		<edge from-layer="736" from-port="2" to-layer="741" to-port="0" />
+		<edge from-layer="736" from-port="2" to-layer="781" to-port="0" />
+		<edge from-layer="737" from-port="0" 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="742" to-port="0" />
+		<edge from-layer="741" from-port="1" to-layer="742" to-port="1" />
+		<edge from-layer="742" from-port="2" to-layer="744" to-port="0" />
+		<edge from-layer="743" from-port="0" to-layer="744" to-port="1" />
+		<edge from-layer="744" from-port="2" to-layer="746" to-port="0" />
+		<edge from-layer="745" from-port="0" to-layer="746" to-port="1" />
+		<edge from-layer="746" from-port="2" to-layer="747" to-port="0" />
+		<edge from-layer="747" from-port="1" to-layer="756" to-port="0" />
+		<edge from-layer="748" from-port="0" to-layer="749" to-port="0" />
+		<edge from-layer="749" from-port="1" to-layer="752" to-port="0" />
+		<edge from-layer="750" from-port="0" to-layer="751" to-port="0" />
+		<edge from-layer="751" from-port="1" to-layer="752" to-port="1" />
+		<edge from-layer="752" from-port="2" to-layer="755" to-port="0" />
+		<edge from-layer="753" from-port="0" to-layer="754" to-port="0" />
+		<edge from-layer="754" from-port="1" to-layer="755" to-port="1" />
+		<edge from-layer="755" from-port="2" to-layer="756" to-port="1" />
+		<edge from-layer="756" from-port="2" to-layer="758" to-port="0" />
+		<edge from-layer="757" from-port="0" to-layer="758" to-port="1" />
+		<edge from-layer="758" from-port="2" to-layer="760" to-port="0" />
+		<edge from-layer="758" from-port="2" to-layer="763" to-port="0" />
+		<edge from-layer="759" from-port="0" to-layer="760" to-port="1" />
+		<edge from-layer="760" from-port="2" to-layer="762" to-port="0" />
+		<edge from-layer="761" from-port="0" to-layer="762" to-port="1" />
+		<edge from-layer="762" from-port="2" to-layer="764" to-port="0" />
+		<edge from-layer="763" from-port="1" to-layer="764" to-port="1" />
+		<edge from-layer="764" from-port="2" to-layer="766" to-port="0" />
+		<edge from-layer="765" from-port="0" to-layer="766" to-port="1" />
+		<edge from-layer="766" from-port="2" to-layer="768" to-port="0" />
+		<edge from-layer="767" from-port="0" to-layer="768" to-port="1" />
+		<edge from-layer="768" from-port="2" to-layer="769" to-port="0" />
+		<edge from-layer="769" from-port="1" to-layer="778" to-port="0" />
+		<edge from-layer="770" from-port="0" to-layer="771" to-port="0" />
+		<edge from-layer="771" from-port="1" to-layer="774" to-port="0" />
+		<edge from-layer="772" from-port="0" to-layer="773" to-port="0" />
+		<edge from-layer="773" from-port="1" to-layer="774" to-port="1" />
+		<edge from-layer="774" from-port="2" to-layer="777" to-port="0" />
+		<edge from-layer="775" from-port="0" to-layer="776" to-port="0" />
+		<edge from-layer="776" from-port="1" to-layer="777" to-port="1" />
+		<edge from-layer="777" from-port="2" to-layer="778" to-port="1" />
+		<edge from-layer="778" from-port="2" to-layer="780" to-port="0" />
+		<edge from-layer="779" from-port="0" to-layer="780" to-port="1" />
+		<edge from-layer="780" from-port="2" to-layer="781" to-port="1" />
+		<edge from-layer="781" from-port="2" to-layer="783" to-port="0" />
+		<edge from-layer="781" from-port="2" to-layer="786" to-port="0" />
+		<edge from-layer="781" from-port="2" to-layer="826" to-port="0" />
+		<edge from-layer="782" from-port="0" to-layer="783" to-port="1" />
+		<edge from-layer="783" from-port="2" to-layer="785" to-port="0" />
+		<edge from-layer="784" from-port="0" to-layer="785" to-port="1" />
+		<edge from-layer="785" from-port="2" to-layer="787" to-port="0" />
+		<edge from-layer="786" from-port="1" to-layer="787" to-port="1" />
+		<edge from-layer="787" from-port="2" to-layer="789" to-port="0" />
+		<edge from-layer="788" from-port="0" to-layer="789" to-port="1" />
+		<edge from-layer="789" from-port="2" to-layer="791" to-port="0" />
+		<edge from-layer="790" from-port="0" to-layer="791" to-port="1" />
+		<edge from-layer="791" from-port="2" to-layer="792" to-port="0" />
+		<edge from-layer="792" from-port="1" to-layer="801" to-port="0" />
+		<edge from-layer="793" from-port="0" to-layer="794" to-port="0" />
+		<edge from-layer="794" from-port="1" to-layer="797" to-port="0" />
+		<edge from-layer="795" from-port="0" to-layer="796" to-port="0" />
+		<edge from-layer="796" from-port="1" to-layer="797" to-port="1" />
+		<edge from-layer="797" from-port="2" to-layer="800" to-port="0" />
+		<edge from-layer="798" from-port="0" to-layer="799" to-port="0" />
+		<edge from-layer="799" from-port="1" to-layer="800" to-port="1" />
+		<edge from-layer="800" from-port="2" to-layer="801" to-port="1" />
+		<edge from-layer="801" from-port="2" to-layer="803" to-port="0" />
+		<edge from-layer="802" from-port="0" to-layer="803" to-port="1" />
+		<edge from-layer="803" from-port="2" to-layer="805" to-port="0" />
+		<edge from-layer="803" from-port="2" to-layer="808" to-port="0" />
+		<edge from-layer="804" from-port="0" to-layer="805" to-port="1" />
+		<edge from-layer="805" from-port="2" to-layer="807" to-port="0" />
+		<edge from-layer="806" from-port="0" to-layer="807" to-port="1" />
+		<edge from-layer="807" from-port="2" to-layer="809" to-port="0" />
+		<edge from-layer="808" from-port="1" to-layer="809" to-port="1" />
+		<edge from-layer="809" from-port="2" to-layer="811" to-port="0" />
+		<edge from-layer="810" from-port="0" to-layer="811" to-port="1" />
+		<edge from-layer="811" from-port="2" to-layer="813" to-port="0" />
+		<edge from-layer="812" from-port="0" to-layer="813" to-port="1" />
+		<edge from-layer="813" from-port="2" to-layer="814" to-port="0" />
+		<edge from-layer="814" from-port="1" to-layer="823" to-port="0" />
+		<edge from-layer="815" from-port="0" to-layer="816" to-port="0" />
+		<edge from-layer="816" from-port="1" to-layer="819" to-port="0" />
+		<edge from-layer="817" from-port="0" to-layer="818" to-port="0" />
+		<edge from-layer="818" from-port="1" to-layer="819" to-port="1" />
+		<edge from-layer="819" from-port="2" to-layer="822" to-port="0" />
+		<edge from-layer="820" from-port="0" to-layer="821" to-port="0" />
+		<edge from-layer="821" from-port="1" to-layer="822" to-port="1" />
+		<edge from-layer="822" from-port="2" to-layer="823" to-port="1" />
+		<edge from-layer="823" from-port="2" to-layer="825" to-port="0" />
+		<edge from-layer="824" from-port="0" to-layer="825" to-port="1" />
+		<edge from-layer="825" from-port="2" to-layer="826" to-port="1" />
+		<edge from-layer="826" from-port="2" to-layer="831" to-port="0" />
+		<edge from-layer="826" from-port="2" to-layer="828" to-port="0" />
+		<edge from-layer="827" from-port="0" to-layer="828" to-port="1" />
+		<edge from-layer="828" from-port="2" to-layer="830" to-port="0" />
+		<edge from-layer="829" from-port="0" to-layer="830" to-port="1" />
+		<edge from-layer="830" from-port="2" to-layer="832" to-port="0" />
+		<edge from-layer="831" from-port="1" to-layer="832" to-port="1" />
+		<edge from-layer="832" from-port="2" to-layer="834" to-port="0" />
+		<edge from-layer="833" from-port="0" to-layer="834" to-port="1" />
+		<edge from-layer="834" from-port="2" to-layer="836" to-port="0" />
+		<edge from-layer="835" from-port="0" to-layer="836" to-port="1" />
+		<edge from-layer="836" from-port="2" to-layer="837" to-port="0" />
+		<edge from-layer="837" from-port="1" to-layer="846" to-port="0" />
+		<edge from-layer="838" from-port="0" to-layer="839" to-port="0" />
+		<edge from-layer="839" from-port="1" to-layer="842" to-port="0" />
+		<edge from-layer="840" from-port="0" to-layer="841" to-port="0" />
+		<edge from-layer="841" from-port="1" to-layer="842" to-port="1" />
+		<edge from-layer="842" from-port="2" to-layer="845" to-port="0" />
+		<edge from-layer="843" from-port="0" to-layer="844" to-port="0" />
+		<edge from-layer="844" from-port="1" to-layer="845" to-port="1" />
+		<edge from-layer="845" from-port="2" to-layer="846" to-port="1" />
+		<edge from-layer="846" from-port="2" to-layer="848" to-port="0" />
+		<edge from-layer="847" from-port="0" to-layer="848" to-port="1" />
+		<edge from-layer="848" from-port="2" to-layer="849" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2024.1.0-15008-f4afc983258-releases/2024/1" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<all_layers value="False" />
+				<awq value="False" />
+				<group_size value="-1" />
+				<ignored_scope>
+					<names value="[]" />
+					<patterns value="[]" />
+					<subgraphs value="[]" />
+					<types value="[]" />
+					<validate value="True" />
+				</ignored_scope>
+				<mode value="int8_asym" />
+				<ratio value="1.0" />
+				<sensitivity_metric value="weight_quantization_error" />
+			</weight_compression>
+		</nncf>
+	</rt_info>
+</net>