diff --git "a/vae_decoder.xml" "b/vae_decoder.xml"
--- "a/vae_decoder.xml"
+++ "b/vae_decoder.xml"
@@ -1,10 +1,11 @@
-<?xml version="1.0"?>
-<net name="main_graph" version="11">
+<?xml version="1.0" ?>
+<net name="torch_jit" version="11">
 	<layers>
 		<layer id="0" name="latents" type="Parameter" version="opset1">
-			<data shape="1,4,64,64" element_type="f32" />
+			<data shape="1,4,64,64" element_type="f32"/>
 			<rt_info>
-				<attribute name="old_api_map_element_type" version="0" value="f16" />
+				<attribute name="fused_names" version="0" value="latents"/>
+				<attribute name="old_api_map_element_type" version="0" value="f16"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="latents">
@@ -15,8 +16,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="Constant_4233_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024" />
+		<layer id="1" name="Constant_11891_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -25,10 +26,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2" name="Constant_4233" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2" name="Constant_11891" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -45,8 +46,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="Constant_4230_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024" />
+		<layer id="3" name="Constant_11887_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55,10 +56,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_4230" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4" name="Constant_11887" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -75,8 +76,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="vae.post_quant_conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32" />
+		<layer id="5" name="Constant_11793_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>4</dim>
@@ -86,10 +87,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="vae.post_quant_conv.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="6" name="Constant_11793" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/Constant, /Mul, /post_quant_conv/Conv/WithoutBiases, vae.post_quant_conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -100,7 +102,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="vae.post_quant_conv.weight">
+				<port id="1" precision="FP32">
 					<dim>4</dim>
 					<dim>4</dim>
 					<dim>1</dim>
@@ -109,7 +111,10 @@
 			</output>
 		</layer>
 		<layer id="7" name="/post_quant_conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/Constant, /Mul, /post_quant_conv/Conv/WithoutBiases, vae.post_quant_conv.weight"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -133,8 +138,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Reshape_153_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8" />
+		<layer id="8" name="Reshape_163_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -144,10 +149,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Reshape_153" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="9" name="Reshape_163" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -167,7 +172,10 @@
 			</output>
 		</layer>
 		<layer id="10" name="/post_quant_conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/post_quant_conv/Conv, Concat_162, Reshape_163"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -192,7 +200,7 @@
 			</output>
 		</layer>
 		<layer id="11" name="vae.decoder.conv_in.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 4, 3, 3" offset="2088" size="36864" />
+			<data element_type="f16" shape="512, 4, 3, 3" offset="2088" size="36864"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -203,9 +211,10 @@
 			</output>
 		</layer>
 		<layer id="12" name="vae.decoder.conv_in.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.conv_in.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -225,7 +234,10 @@
 			</output>
 		</layer>
 		<layer id="13" name="/decoder/conv_in/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_in/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -249,8 +261,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="Reshape_166_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024" />
+		<layer id="14" name="Reshape_211_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -260,10 +272,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Reshape_166" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="15" name="Reshape_211" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -283,7 +295,10 @@
 			</output>
 		</layer>
 		<layer id="16" name="/decoder/conv_in/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_in/Conv, Concat_210, Reshape_211"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -308,9 +323,9 @@
 			</output>
 		</layer>
 		<layer id="17" name="/decoder/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Constant_output_0">
@@ -319,7 +334,10 @@
 			</output>
 		</layer>
 		<layer id="18" name="/decoder/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -339,16 +357,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="Constant_172" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="19" name="Constant_248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_248"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="MVN_173" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="20" name="MVN_249" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/InstanceNormalization, Concat_268, Concat_313, MVN_249, Multiply_296, Reshape_269, Reshape_314"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -368,7 +392,10 @@
 			</output>
 		</layer>
 		<layer id="21" name="/decoder/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -384,7 +411,10 @@
 			</output>
 		</layer>
 		<layer id="22" name="/decoder/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -404,8 +434,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="Constant_4224_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024" />
+		<layer id="23" name="Constant_11881_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -415,10 +445,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Constant_4224" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="24" name="Constant_11881" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -438,7 +468,10 @@
 			</output>
 		</layer>
 		<layer id="25" name="/decoder/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -462,8 +495,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_4225_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" size="1024" />
+		<layer id="26" name="Constant_11882_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -473,10 +506,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="Constant_4225" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="27" name="Constant_11882" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -496,7 +529,10 @@
 			</output>
 		</layer>
 		<layer id="28" name="/decoder/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -521,6 +557,9 @@
 			</output>
 		</layer>
 		<layer id="29" name="/decoder/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/nonlinearity/Mul, /decoder/mid_block/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -539,7 +578,7 @@
 			</output>
 		</layer>
 		<layer id="30" name="vae.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="42056" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="42056" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -550,9 +589,10 @@
 			</output>
 		</layer>
 		<layer id="31" name="vae.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -572,7 +612,10 @@
 			</output>
 		</layer>
 		<layer id="32" name="/decoder/mid_block/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -596,8 +639,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="Reshape_213_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="4760648" size="1024" />
+		<layer id="33" name="Reshape_373_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4760648" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -607,10 +650,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="34" name="Reshape_213" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="34" name="Reshape_373" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -630,7 +673,10 @@
 			</output>
 		</layer>
 		<layer id="35" name="/decoder/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv1/Conv, Concat_372, Reshape_373"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -655,9 +701,9 @@
 			</output>
 		</layer>
 		<layer id="36" name="/decoder/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Constant_output_0">
@@ -666,7 +712,10 @@
 			</output>
 		</layer>
 		<layer id="37" name="/decoder/mid_block/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -686,16 +735,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="38" name="Constant_219" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="38" name="Constant_410" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_410"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="MVN_220" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="39" name="MVN_411" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/InstanceNormalization, Concat_430, Concat_475, MVN_411, Multiply_458, Reshape_431, Reshape_476"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -715,7 +770,10 @@
 			</output>
 		</layer>
 		<layer id="40" name="/decoder/mid_block/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -731,7 +789,10 @@
 			</output>
 		</layer>
 		<layer id="41" name="/decoder/mid_block/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -751,8 +812,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="Constant_4226_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="4761672" size="1024" />
+		<layer id="42" name="Constant_11883_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4761672" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -762,10 +823,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Constant_4226" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="43" name="Constant_11883" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -785,7 +846,10 @@
 			</output>
 		</layer>
 		<layer id="44" name="/decoder/mid_block/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -809,8 +873,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="Constant_4227_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="4762696" size="1024" />
+		<layer id="45" name="Constant_11884_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4762696" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -820,10 +884,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="Constant_4227" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="46" name="Constant_11884" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -843,7 +907,10 @@
 			</output>
 		</layer>
 		<layer id="47" name="/decoder/mid_block/resnets.0/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -868,6 +935,9 @@
 			</output>
 		</layer>
 		<layer id="48" name="/decoder/mid_block/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/nonlinearity_1/Mul, /decoder/mid_block/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -886,7 +956,7 @@
 			</output>
 		</layer>
 		<layer id="49" name="vae.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="4763720" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4763720" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -897,9 +967,10 @@
 			</output>
 		</layer>
 		<layer id="50" name="vae.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -919,7 +990,10 @@
 			</output>
 		</layer>
 		<layer id="51" name="/decoder/mid_block/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -943,8 +1017,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="Reshape_260_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="9482312" size="1024" />
+		<layer id="52" name="Reshape_535_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9482312" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -954,10 +1028,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="Reshape_260" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="53" name="Reshape_535" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -977,7 +1051,10 @@
 			</output>
 		</layer>
 		<layer id="54" name="/decoder/mid_block/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv2/Conv, Concat_534, Reshape_535"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1002,7 +1079,10 @@
 			</output>
 		</layer>
 		<layer id="55" name="/decoder/mid_block/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/Add, /decoder/mid_block/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1027,9 +1107,9 @@
 			</output>
 		</layer>
 		<layer id="56" name="/decoder/mid_block/attentions.0/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9483336" size="24" />
+			<data element_type="i64" shape="3" offset="9483336" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_output_0">
@@ -1038,7 +1118,10 @@
 			</output>
 		</layer>
 		<layer id="57" name="/decoder/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1059,9 +1142,9 @@
 			</output>
 		</layer>
 		<layer id="58" name="/decoder/mid_block/attentions.0/group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Constant_output_0">
@@ -1070,7 +1153,10 @@
 			</output>
 		</layer>
 		<layer id="59" name="/decoder/mid_block/attentions.0/group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1089,16 +1175,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="Constant_271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="60" name="Constant_582" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_582"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="61" name="MVN_272" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="61" name="MVN_583" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/InstanceNormalization, Concat_602, Concat_647, MVN_583, Multiply_630, Reshape_603, Reshape_648"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1118,7 +1210,10 @@
 			</output>
 		</layer>
 		<layer id="62" name="/decoder/mid_block/attentions.0/group_norm/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1133,7 +1228,10 @@
 			</output>
 		</layer>
 		<layer id="63" name="/decoder/mid_block/attentions.0/group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1152,8 +1250,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="Constant_4228_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1" offset="9483360" size="1024" />
+		<layer id="64" name="Constant_11885_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1" offset="9483360" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1162,10 +1260,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Constant_4228" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="65" name="Constant_11885" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1183,7 +1281,10 @@
 			</output>
 		</layer>
 		<layer id="66" name="/decoder/mid_block/attentions.0/group_norm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1204,8 +1305,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="Constant_4229_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1" offset="9484384" size="1024" />
+		<layer id="67" name="Constant_11886_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1" offset="9484384" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1214,10 +1315,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="Constant_4229" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="68" name="Constant_11886" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1235,7 +1336,10 @@
 			</output>
 		</layer>
 		<layer id="69" name="/decoder/mid_block/attentions.0/group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1256,8 +1360,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="Transpose_4124_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="9485408" size="524288" />
+		<layer id="70" name="Constant_685" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_685"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="/decoder/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="Constant_11711_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="9485432" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1265,10 +1402,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Transpose_4124" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="73" name="Constant_11711" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_q/MatMul, onnx::MatMul_947"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1283,13 +1421,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="/decoder/mid_block/attentions.0/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="74" name="/decoder/mid_block/attentions.0/to_q/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_q/MatMul, onnx::MatMul_947"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1304,8 +1445,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="/decoder/mid_block/attentions.0/to_q/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="75" name="/decoder/mid_block/attentions.0/to_q/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_q/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1326,10 +1470,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="/decoder/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10009696" size="32" />
+		<layer id="76" name="/decoder/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_1"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_1_output_0">
@@ -1337,8 +1481,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="/decoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="77" name="/decoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1358,19 +1505,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="Constant_4126" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10009728" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="78" name="Constant_11713" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="77" name="/decoder/mid_block/attentions.0/Transpose_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="79" name="/decoder/mid_block/attentions.0/Transpose_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1391,156 +1538,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="/decoder/mid_block/attentions.0/Constant_6_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1" offset="10009760" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="79" name="/decoder/mid_block/attentions.0/Constant_6" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Constant_6_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="80" name="/decoder/mid_block/attentions.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64" names="/decoder/mid_block/attentions.0/Shape_output_0">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="81" name="/decoder/mid_block/attentions.0/Constant_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10009762" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_4_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="82" name="/decoder/mid_block/attentions.0/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10009770" size="8" />
+		<layer id="80" name="/decoder/mid_block/attentions.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_2"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_5_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_2_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="Broadcast_322" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10009778" size="8" />
+		<layer id="81" name="/decoder/mid_block/attentions.0/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_2"/>
 			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="84" name="/decoder/mid_block/attentions.0/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</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="/decoder/mid_block/attentions.0/Slice_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="85" name="/decoder/mid_block/attentions.0/Cast" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="86" name="/decoder/mid_block/attentions.0/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Sqrt_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="87" name="/decoder/mid_block/attentions.0/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Div_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="88" name="/decoder/mid_block/attentions.0/Sqrt_1" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Sqrt_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="89" name="/decoder/mid_block/attentions.0/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1548,21 +1561,20 @@
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Mul_output_0">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="90" name="Constant_4231_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="10009786" size="1024" />
+		<layer id="82" name="Constant_11888_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10009808" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1571,10 +1583,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="Constant_4231" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="83" name="Constant_11888" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1591,8 +1603,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="92" name="Transpose_4129_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="10010810" size="524288" />
+		<layer id="84" name="Constant_11725_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10010832" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1600,10 +1612,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="Transpose_4129" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="85" name="Constant_11725" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_k/MatMul, onnx::MatMul_948"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1618,13 +1631,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="/decoder/mid_block/attentions.0/to_k/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="86" name="/decoder/mid_block/attentions.0/to_k/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_k/MatMul, onnx::MatMul_948"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1639,8 +1655,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="/decoder/mid_block/attentions.0/to_k/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="87" name="/decoder/mid_block/attentions.0/to_k/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_k/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1661,19 +1680,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="96" name="/decoder/mid_block/attentions.0/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10009696" size="32" />
+		<layer id="88" name="/decoder/mid_block/attentions.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_3"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_2_output_0">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_3_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="/decoder/mid_block/attentions.0/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="89" name="/decoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_3"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1685,7 +1707,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_3_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1693,15 +1715,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="Constant_332" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10535098" size="32" />
+		<layer id="90" name="Constant_11727" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="/decoder/mid_block/attentions.0/Transpose_3" type="Transpose" version="opset1">
+		<layer id="91" name="/decoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_2"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1714,94 +1740,184 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="/decoder/mid_block/attentions.0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_4"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_4_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="/decoder/mid_block/attentions.0/Sqrt_2" type="Sqrt" version="opset1">
+		<layer id="93" name="/decoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Sqrt_2_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_4_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="/decoder/mid_block/attentions.0/Mul_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="94" name="Constant_741" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_741"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="/decoder/mid_block/attentions.0/Transpose_4" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_4_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Constant_11889_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="10535120" size="2"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Constant_11889" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Multiply_11795" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add, /decoder/mid_block/attentions.0/Cast, /decoder/mid_block/attentions.0/MatMul, /decoder/mid_block/attentions.0/Mul, /decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Mul_1_output_0">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="/decoder/mid_block/attentions.0/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="99" name="/decoder/mid_block/attentions.0/Mul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add, /decoder/mid_block/attentions.0/Cast, /decoder/mid_block/attentions.0/MatMul, /decoder/mid_block/attentions.0/Mul, /decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/MatMul_output_0">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_output_0,/decoder/mid_block/attentions.0/Cast_output_0,/decoder/mid_block/attentions.0/Mul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="/decoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
+		<layer id="100" name="/decoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Cast_1, /decoder/mid_block/attentions.0/Softmax"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Softmax_output_0">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_1_output_0,/decoder/mid_block/attentions.0/Softmax_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_4232_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="10535130" size="1024" />
+		<layer id="101" name="Constant_11890_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10535122" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1810,10 +1926,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_4232" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="102" name="Constant_11890" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1830,8 +1946,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="Transpose_4132_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="10536154" size="524288" />
+		<layer id="103" name="Constant_11739_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10536146" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -1839,10 +1955,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Transpose_4132" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="104" name="Constant_11739" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_v/MatMul, onnx::MatMul_949"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1857,13 +1974,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="/decoder/mid_block/attentions.0/to_v/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="105" name="/decoder/mid_block/attentions.0/to_v/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_v/MatMul, onnx::MatMul_949"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1878,8 +1998,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="/decoder/mid_block/attentions.0/to_v/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="106" name="/decoder/mid_block/attentions.0/to_v/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_v/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1900,19 +2023,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="/decoder/mid_block/attentions.0/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10009696" size="32" />
+		<layer id="107" name="/decoder/mid_block/attentions.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_5"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_3_output_0">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_5_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="/decoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="108" name="/decoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_5"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1924,7 +2050,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_5_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1932,19 +2058,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="Constant_4134" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="10009728" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="109" name="Constant_11741" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="/decoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="110" name="/decoder/mid_block/attentions.0/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_3"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1957,7 +2083,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_3_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
@@ -1965,17 +2091,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="/decoder/mid_block/attentions.0/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="111" name="/decoder/mid_block/attentions.0/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_6"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="/decoder/mid_block/attentions.0/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_6"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_6_output_0">
+					<dim>1</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="113" name="/decoder/mid_block/attentions.0/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/MatMul_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
@@ -1983,26 +2145,60 @@
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/MatMul_1_output_0">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="Constant_4136" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="11060442" size="32" />
+		<layer id="114" name="/decoder/mid_block/attentions.0/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060434" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_9"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="/decoder/mid_block/attentions.0/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_7"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_7_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_11748" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060466" size="32"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="/decoder/mid_block/attentions.0/Transpose_4" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="117" name="/decoder/mid_block/attentions.0/Transpose_5" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_5"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2015,7 +2211,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_4_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_5_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -2023,19 +2219,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="/decoder/mid_block/attentions.0/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="11060474" size="24" />
+		<layer id="118" name="/decoder/mid_block/attentions.0/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_10"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_7_output_0">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_10_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="/decoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="119" name="/decoder/mid_block/attentions.0/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_8"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2048,15 +2247,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_1_output_0,/decoder/mid_block/attentions.0/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="Transpose_4139_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="11060498" size="524288" />
+		<layer id="120" name="Constant_11760_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="11060498" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2064,10 +2263,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="Transpose_4139" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="121" name="Constant_11760" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_out.0/MatMul, onnx::MatMul_989"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2082,8 +2282,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="/decoder/mid_block/attentions.0/to_out.0/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="122" name="/decoder/mid_block/attentions.0/to_out.0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_out.0/MatMul, onnx::MatMul_989"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2103,8 +2306,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="/decoder/mid_block/attentions.0/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="123" name="/decoder/mid_block/attentions.0/to_out.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_out.0/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2125,15 +2331,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="Constant_348" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="11584786" size="24" />
+		<layer id="124" name="Constant_770" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_770"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="/decoder/mid_block/attentions.0/Transpose_5" type="Transpose" version="opset1">
+		<layer id="125" name="/decoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_6"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2145,26 +2357,29 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_5_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_6_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="/decoder/mid_block/attentions.0/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="11584810" size="32" />
+		<layer id="126" name="/decoder/mid_block/attentions.0/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11584786" size="32"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_11"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_8_output_0">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_11_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="/decoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="127" name="/decoder/mid_block/attentions.0/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_9"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2176,7 +2391,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2184,8 +2399,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="/decoder/mid_block/attentions.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="128" name="/decoder/mid_block/attentions.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add_1, /decoder/mid_block/attentions.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2201,7 +2419,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_output_0,/decoder/mid_block/attentions.0/Div_1_output_0">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_1_output_0,/decoder/mid_block/attentions.0/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2209,10 +2427,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="/decoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="129" name="/decoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Constant_output_0">
@@ -2220,8 +2438,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="/decoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="130" name="/decoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2241,16 +2462,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="Constant_359" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="131" name="Constant_791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_791"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="MVN_360" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="132" name="MVN_792" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/InstanceNormalization, Concat_811, Concat_856, MVN_792, Multiply_839, Reshape_812, Reshape_857"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2269,8 +2496,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="/decoder/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="133" name="/decoder/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2285,8 +2515,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="/decoder/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="134" name="/decoder/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2306,8 +2539,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="Constant_4234_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="11584842" size="1024" />
+		<layer id="135" name="Constant_11892_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11584818" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2317,10 +2550,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="Constant_4234" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="136" name="Constant_11892" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2339,8 +2572,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="/decoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="137" name="/decoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2364,8 +2600,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="Constant_4235_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="11585866" size="1024" />
+		<layer id="138" name="Constant_11893_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11585842" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2375,10 +2611,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="Constant_4235" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="139" name="Constant_11893" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2397,8 +2633,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="/decoder/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="140" name="/decoder/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2422,7 +2661,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="/decoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="141" name="/decoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/nonlinearity/Mul, /decoder/mid_block/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2440,8 +2682,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="vae.decoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="11586890" size="4718592" />
+		<layer id="142" name="vae.decoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="11586866" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2451,10 +2693,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="vae.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="143" name="vae.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2473,8 +2716,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="144" name="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2498,8 +2744,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="Reshape_400_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="16305482" size="1024" />
+		<layer id="145" name="Reshape_916_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16305458" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2509,10 +2755,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Reshape_400" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="146" name="Reshape_916" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2531,8 +2777,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="/decoder/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="147" name="/decoder/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv1/Conv, Concat_915, Reshape_916"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2556,10 +2805,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="/decoder/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="148" name="/decoder/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Constant_output_0">
@@ -2567,8 +2816,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="/decoder/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="149" name="/decoder/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2588,16 +2840,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_406" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="150" name="Constant_953" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_953"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="MVN_407" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="151" name="MVN_954" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/InstanceNormalization, Concat_1018, Concat_973, MVN_954, Multiply_1001, Reshape_1019, Reshape_974"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2616,8 +2874,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="/decoder/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="152" name="/decoder/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2632,8 +2893,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="/decoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="153" name="/decoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2653,8 +2917,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="Constant_4236_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="16306506" size="1024" />
+		<layer id="154" name="Constant_11894_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16306482" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2664,10 +2928,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Constant_4236" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="155" name="Constant_11894" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2686,8 +2950,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="/decoder/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="156" name="/decoder/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2711,8 +2978,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="Constant_4237_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="16307530" size="1024" />
+		<layer id="157" name="Constant_11895_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16307506" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2722,10 +2989,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_4237" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="158" name="Constant_11895" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2744,8 +3011,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="/decoder/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="159" name="/decoder/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2769,7 +3039,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="/decoder/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="160" name="/decoder/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/nonlinearity_1/Mul, /decoder/mid_block/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2787,8 +3060,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="vae.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="16308554" size="4718592" />
+		<layer id="161" name="vae.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="16308530" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -2798,10 +3071,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="vae.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="162" name="vae.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2820,8 +3094,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="163" name="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2845,8 +3122,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="Reshape_447_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="21027146" size="1024" />
+		<layer id="164" name="Reshape_1078_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21027122" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2856,10 +3133,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="Reshape_447" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="165" name="Reshape_1078" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2878,8 +3155,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="/decoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="166" name="/decoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv2/Conv, Concat_1077, Reshape_1078"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2903,8 +3183,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="/decoder/mid_block/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="167" name="/decoder/mid_block/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/Cast, /decoder/mid_block/resnets.1/Add, /decoder/mid_block/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2928,10 +3211,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="167" name="/decoder/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="168" name="/decoder/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Constant_output_0">
@@ -2939,8 +3222,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="169" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2960,16 +3246,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="Constant_457" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="170" name="Constant_1119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1119"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="MVN_458" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="171" name="MVN_1120" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/InstanceNormalization, Concat_1139, Concat_1184, MVN_1120, Multiply_1167, Reshape_1140, Reshape_1185"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2988,8 +3280,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="171" name="/decoder/up_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="172" name="/decoder/up_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3004,8 +3299,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="173" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3025,8 +3323,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="173" name="Constant_4238_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="21028170" size="1024" />
+		<layer id="174" name="Constant_11896_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21028146" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3036,10 +3334,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="Constant_4238" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="175" name="Constant_11896" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3058,8 +3356,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="/decoder/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="176" name="/decoder/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3083,8 +3384,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="Constant_4239_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="21029194" size="1024" />
+		<layer id="177" name="Constant_11897_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21029170" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3094,10 +3395,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="Constant_4239" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="178" name="Constant_11897" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3116,8 +3417,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="178" name="/decoder/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="179" name="/decoder/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3141,7 +3445,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="180" name="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul, /decoder/up_blocks.0/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3159,8 +3466,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="21030218" size="4718592" />
+		<layer id="181" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="21030194" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3170,10 +3477,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="182" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3192,8 +3500,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="183" name="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3217,8 +3528,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="Reshape_498_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="25748810" size="1024" />
+		<layer id="184" name="Reshape_1244_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25748786" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3228,10 +3539,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="Reshape_498" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="185" name="Reshape_1244" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3250,8 +3561,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="/decoder/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="186" name="/decoder/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv1/Conv, Concat_1243, Reshape_1244"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3275,10 +3589,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="/decoder/up_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="187" name="/decoder/up_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm2/Constant_output_0">
@@ -3286,8 +3600,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="188" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3307,16 +3624,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="Constant_504" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="189" name="Constant_1281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1281"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="MVN_505" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="190" name="MVN_1282" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/InstanceNormalization, Concat_1301, Concat_1346, MVN_1282, Multiply_1329, Reshape_1302, Reshape_1347"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3335,8 +3658,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="/decoder/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="191" name="/decoder/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3351,8 +3677,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="192" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3372,8 +3701,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="Constant_4240_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="25749834" size="1024" />
+		<layer id="193" name="Constant_11898_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25749810" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3383,10 +3712,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="Constant_4240" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="194" name="Constant_11898" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3405,8 +3734,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="/decoder/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="195" name="/decoder/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3430,8 +3762,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="Constant_4241_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="25750858" size="1024" />
+		<layer id="196" name="Constant_11899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25750834" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3441,10 +3773,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="196" name="Constant_4241" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="197" name="Constant_11899" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3463,8 +3795,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="/decoder/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="198" name="/decoder/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3488,7 +3823,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="199" name="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3506,8 +3844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="25751882" size="4718592" />
+		<layer id="200" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="25751858" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3517,10 +3855,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="201" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3539,8 +3878,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="202" name="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3564,8 +3906,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="202" name="Reshape_545_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="30470474" size="1024" />
+		<layer id="203" name="Reshape_1406_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30470450" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3575,10 +3917,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="203" name="Reshape_545" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="204" name="Reshape_1406" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3597,8 +3939,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="/decoder/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="205" name="/decoder/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv2/Conv, Concat_1405, Reshape_1406"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3622,8 +3967,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="/decoder/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="206" name="/decoder/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/Add, /decoder/up_blocks.0/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3647,10 +3995,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="/decoder/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="207" name="/decoder/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm1/Constant_output_0">
@@ -3658,8 +4006,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="208" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3679,16 +4030,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="Constant_554" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="209" name="Constant_1446" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1446"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="MVN_555" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="210" name="MVN_1447" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/InstanceNormalization, Concat_1466, Concat_1511, MVN_1447, Multiply_1494, Reshape_1467, Reshape_1512"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3707,8 +4064,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="/decoder/up_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="211" name="/decoder/up_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3723,8 +4083,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="212" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3744,8 +4107,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="Constant_4242_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="30471498" size="1024" />
+		<layer id="213" name="Constant_11900_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30471474" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3755,10 +4118,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="Constant_4242" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="214" name="Constant_11900" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3777,8 +4140,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="/decoder/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="215" name="/decoder/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3802,8 +4168,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="Constant_4243_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="30472522" size="1024" />
+		<layer id="216" name="Constant_11901_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30472498" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3813,10 +4179,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="Constant_4243" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="217" name="Constant_11901" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3835,8 +4201,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="/decoder/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="218" name="/decoder/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3860,7 +4229,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="218" name="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="219" name="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul, /decoder/up_blocks.0/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3878,8 +4250,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="30473546" size="4718592" />
+		<layer id="220" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="30473522" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3889,10 +4261,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="221" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3911,8 +4284,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="222" name="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3936,8 +4312,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="Reshape_595_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="35192138" size="1024" />
+		<layer id="223" name="Reshape_1571_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35192114" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3947,10 +4323,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Reshape_595" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="224" name="Reshape_1571" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3969,8 +4345,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="/decoder/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="225" name="/decoder/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv1/Conv, Concat_1570, Reshape_1571"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3994,10 +4373,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="/decoder/up_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="226" name="/decoder/up_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm2/Constant_output_0">
@@ -4005,8 +4384,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="227" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4026,16 +4408,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="Constant_601" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="228" name="Constant_1608" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1608"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="MVN_602" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="229" name="MVN_1609" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/InstanceNormalization, Concat_1628, Concat_1673, MVN_1609, Multiply_1656, Reshape_1629, Reshape_1674"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4054,8 +4442,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="/decoder/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="230" name="/decoder/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4070,8 +4461,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="231" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4091,8 +4485,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="Constant_4244_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="35193162" size="1024" />
+		<layer id="232" name="Constant_11902_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35193138" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4102,10 +4496,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="Constant_4244" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="233" name="Constant_11902" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4124,8 +4518,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="/decoder/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="234" name="/decoder/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4149,8 +4546,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="Constant_4245_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="35194186" size="1024" />
+		<layer id="235" name="Constant_11903_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35194162" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4160,10 +4557,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="Constant_4245" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="236" name="Constant_11903" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4182,8 +4579,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="/decoder/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="237" name="/decoder/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4207,7 +4607,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="238" name="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4225,8 +4628,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="238" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="35195210" size="4718592" />
+		<layer id="239" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="35195186" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4236,10 +4639,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="240" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4258,8 +4662,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="241" name="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4283,8 +4690,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="Reshape_642_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="39913802" size="1024" />
+		<layer id="242" name="Reshape_1733_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39913778" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4294,10 +4701,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="Reshape_642" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="243" name="Reshape_1733" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4316,8 +4723,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="/decoder/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="244" name="/decoder/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv2/Conv, Concat_1732, Reshape_1733"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4341,8 +4751,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="/decoder/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="245" name="/decoder/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/Add, /decoder/up_blocks.0/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4366,10 +4779,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="/decoder/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="246" name="/decoder/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm1/Constant_output_0">
@@ -4377,8 +4790,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="247" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4398,16 +4814,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_651" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="248" name="Constant_1773" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1773"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="MVN_652" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="249" name="MVN_1774" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/InstanceNormalization, Concat_1793, Concat_1838, MVN_1774, Multiply_1821, Reshape_1794, Reshape_1839"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4426,8 +4848,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="/decoder/up_blocks.0/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="250" name="/decoder/up_blocks.0/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4442,8 +4867,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="251" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4463,8 +4891,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="Constant_4246_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="39914826" size="1024" />
+		<layer id="252" name="Constant_11904_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39914802" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4474,10 +4902,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="Constant_4246" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="253" name="Constant_11904" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4496,8 +4924,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="/decoder/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="254" name="/decoder/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4521,8 +4952,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="Constant_4247_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="39915850" size="1024" />
+		<layer id="255" name="Constant_11905_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39915826" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4532,10 +4963,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="Constant_4247" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="256" name="Constant_11905" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4554,8 +4985,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="/decoder/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="257" name="/decoder/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4579,7 +5013,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="258" name="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul, /decoder/up_blocks.0/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4597,8 +5034,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="39916874" size="4718592" />
+		<layer id="259" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39916850" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4608,10 +5045,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="260" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.2.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4630,8 +5068,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="261" name="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4655,8 +5096,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="Reshape_692_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="44635466" size="1024" />
+		<layer id="262" name="Reshape_1898_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44635442" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4666,10 +5107,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="Reshape_692" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="263" name="Reshape_1898" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4688,8 +5129,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="/decoder/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="264" name="/decoder/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv1/Conv, Concat_1897, Reshape_1898"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4713,10 +5157,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="/decoder/up_blocks.0/resnets.2/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="265" name="/decoder/up_blocks.0/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm2/Constant_output_0">
@@ -4724,8 +5168,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="266" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4745,16 +5192,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Constant_698" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="267" name="Constant_1935" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1935"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="MVN_699" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="268" name="MVN_1936" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/InstanceNormalization, Concat_1955, Concat_2000, MVN_1936, Multiply_1983, Reshape_1956, Reshape_2001"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4773,8 +5226,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="/decoder/up_blocks.0/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="269" name="/decoder/up_blocks.0/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4789,8 +5245,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="270" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4810,8 +5269,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="Constant_4248_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="44636490" size="1024" />
+		<layer id="271" name="Constant_11906_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44636466" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4821,10 +5280,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="Constant_4248" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="272" name="Constant_11906" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4843,8 +5302,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="/decoder/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="273" name="/decoder/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4868,8 +5330,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="Constant_4249_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="44637514" size="1024" />
+		<layer id="274" name="Constant_11907_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44637490" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4879,10 +5341,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_4249" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="275" name="Constant_11907" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4901,8 +5363,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="/decoder/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="276" name="/decoder/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4926,7 +5391,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="277" name="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4944,8 +5412,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="44638538" size="4718592" />
+		<layer id="278" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="44638514" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4955,10 +5423,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="279" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.2.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4977,8 +5446,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="280" name="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5002,8 +5474,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="Reshape_739_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="49357130" size="1024" />
+		<layer id="281" name="Reshape_2060_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="49357106" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5013,10 +5485,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="Reshape_739" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="282" name="Reshape_2060" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5035,8 +5507,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="/decoder/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="283" name="/decoder/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv2/Conv, Concat_2059, Reshape_2060"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5060,8 +5535,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="/decoder/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="284" name="/decoder/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/Add, /decoder/up_blocks.0/resnets.2/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5085,10 +5563,45 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="/decoder/up_blocks.0/upsamplers.0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="4" offset="49358154" size="16" />
+		<layer id="285" name="ShapeOf_2093" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_2093"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="Convert_2094" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_2094"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="/decoder/up_blocks.0/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Constant_output_0">
@@ -5096,8 +5609,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="/decoder/up_blocks.0/upsamplers.0/Resize" 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" />
+		<layer id="288" name="Multiply_2095" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_2095"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="Convert_2096" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_2096"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="/decoder/up_blocks.0/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<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"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/Resize"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5105,12 +5656,15 @@
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5118,8 +5672,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="49358170" size="4718592" />
+		<layer id="291" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="49358146" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5129,10 +5683,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="292" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.upsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5151,8 +5706,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="293" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5176,8 +5734,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="Reshape_758_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="54076762" size="1024" />
+		<layer id="294" name="Reshape_2118_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54076738" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5187,10 +5745,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Reshape_758" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="295" name="Reshape_2118" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5209,8 +5767,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="296" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/conv/Conv, Concat_2117, Reshape_2118"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5234,10 +5795,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="/decoder/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="297" name="/decoder/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm1/Constant_output_0">
@@ -5245,8 +5806,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="298" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5266,16 +5830,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_764" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="299" name="Constant_2155" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2155"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="MVN_765" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="300" name="MVN_2156" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/InstanceNormalization, Concat_2175, Concat_2220, MVN_2156, Multiply_2203, Reshape_2176, Reshape_2221"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5294,8 +5864,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="/decoder/up_blocks.1/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="301" name="/decoder/up_blocks.1/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5310,8 +5883,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="302" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5331,8 +5907,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="Constant_4250_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="54077786" size="1024" />
+		<layer id="303" name="Constant_11908_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54077762" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5342,10 +5918,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="Constant_4250" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="304" name="Constant_11908" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5364,8 +5940,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="/decoder/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="305" name="/decoder/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5389,8 +5968,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="Constant_4251_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="54078810" size="1024" />
+		<layer id="306" name="Constant_11909_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54078786" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5400,10 +5979,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="Constant_4251" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="307" name="Constant_11909" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5422,8 +6001,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="/decoder/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="308" name="/decoder/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5447,7 +6029,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="309" name="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul, /decoder/up_blocks.1/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5465,8 +6050,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="54079834" size="4718592" />
+		<layer id="310" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="54079810" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5476,10 +6061,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="311" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5498,8 +6084,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="312" name="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5523,8 +6112,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="Reshape_805_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="58798426" size="1024" />
+		<layer id="313" name="Reshape_2280_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58798402" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5534,10 +6123,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="Reshape_805" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="314" name="Reshape_2280" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5556,8 +6145,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="/decoder/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="315" name="/decoder/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv1/Conv, Concat_2279, Reshape_2280"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5581,10 +6173,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="/decoder/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="316" name="/decoder/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm2/Constant_output_0">
@@ -5592,8 +6184,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="317" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5613,16 +6208,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="Constant_811" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="318" name="Constant_2317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2317"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="MVN_812" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="319" name="MVN_2318" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/InstanceNormalization, Concat_2337, Concat_2382, MVN_2318, Multiply_2365, Reshape_2338, Reshape_2383"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5641,8 +6242,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="/decoder/up_blocks.1/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="320" name="/decoder/up_blocks.1/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5657,8 +6261,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="321" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5678,8 +6285,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="Constant_4252_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="58799450" size="1024" />
+		<layer id="322" name="Constant_11910_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58799426" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5689,10 +6296,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="Constant_4252" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="323" name="Constant_11910" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5711,8 +6318,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="/decoder/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="324" name="/decoder/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5736,8 +6346,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="320" name="Constant_4253_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="58800474" size="1024" />
+		<layer id="325" name="Constant_11911_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58800450" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5747,10 +6357,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="Constant_4253" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="326" name="Constant_11911" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5769,8 +6379,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="/decoder/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="327" name="/decoder/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5794,7 +6407,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="328" name="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5812,8 +6428,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="58801498" size="4718592" />
+		<layer id="329" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="58801474" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5823,10 +6439,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="330" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5845,8 +6462,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="331" name="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5870,8 +6490,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="Reshape_852_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="63520090" size="1024" />
+		<layer id="332" name="Reshape_2442_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63520066" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5881,10 +6501,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="Reshape_852" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="333" name="Reshape_2442" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5903,8 +6523,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="/decoder/up_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="334" name="/decoder/up_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv2/Conv, Concat_2441, Reshape_2442"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5928,8 +6551,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="/decoder/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="335" name="/decoder/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/Add, /decoder/up_blocks.1/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5953,10 +6579,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="/decoder/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="336" name="/decoder/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm1/Constant_output_0">
@@ -5964,8 +6590,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="337" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5985,16 +6614,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="Constant_861" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="338" name="Constant_2482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2482"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="MVN_862" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="339" name="MVN_2483" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/InstanceNormalization, Concat_2502, Concat_2547, MVN_2483, Multiply_2530, Reshape_2503, Reshape_2548"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6013,8 +6648,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="/decoder/up_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="340" name="/decoder/up_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6029,8 +6667,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="341" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6050,8 +6691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="Constant_4254_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="63521114" size="1024" />
+		<layer id="342" name="Constant_11912_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63521090" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6061,10 +6702,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="Constant_4254" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="343" name="Constant_11912" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6083,8 +6724,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="/decoder/up_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="344" name="/decoder/up_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6108,8 +6752,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="Constant_4255_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="63522138" size="1024" />
+		<layer id="345" name="Constant_11913_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63522114" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6119,10 +6763,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="Constant_4255" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="346" name="Constant_11913" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6141,8 +6785,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="/decoder/up_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="347" name="/decoder/up_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6166,7 +6813,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="348" name="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul, /decoder/up_blocks.1/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6184,8 +6834,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="63523162" size="4718592" />
+		<layer id="349" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="63523138" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6195,10 +6845,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="350" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6217,8 +6868,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="351" name="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6242,8 +6896,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="Reshape_902_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68241754" size="1024" />
+		<layer id="352" name="Reshape_2607_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68241730" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6253,10 +6907,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Reshape_902" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="353" name="Reshape_2607" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6275,8 +6929,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="/decoder/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="354" name="/decoder/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv1/Conv, Concat_2606, Reshape_2607"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6300,10 +6957,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="/decoder/up_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="355" name="/decoder/up_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm2/Constant_output_0">
@@ -6311,8 +6968,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="356" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6332,16 +6992,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="Constant_908" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="357" name="Constant_2644" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2644"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="MVN_909" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="358" name="MVN_2645" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/InstanceNormalization, Concat_2664, Concat_2709, MVN_2645, Multiply_2692, Reshape_2665, Reshape_2710"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6360,8 +7026,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="/decoder/up_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="359" name="/decoder/up_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6376,8 +7045,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="360" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6397,8 +7069,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="Constant_4256_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68242778" size="1024" />
+		<layer id="361" name="Constant_11914_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68242754" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6408,10 +7080,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="Constant_4256" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="362" name="Constant_11914" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6430,8 +7102,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="/decoder/up_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="363" name="/decoder/up_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6455,8 +7130,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="Constant_4257_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68243802" size="1024" />
+		<layer id="364" name="Constant_11915_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68243778" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6466,10 +7141,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_4257" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="365" name="Constant_11915" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6488,8 +7163,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="/decoder/up_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="366" name="/decoder/up_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6513,7 +7191,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="367" name="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6531,8 +7212,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="68244826" size="4718592" />
+		<layer id="368" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="68244802" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6542,10 +7223,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="369" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6564,8 +7246,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="370" name="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6589,8 +7274,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="Reshape_949_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72963418" size="1024" />
+		<layer id="371" name="Reshape_2769_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72963394" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6600,10 +7285,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="Reshape_949" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="372" name="Reshape_2769" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6622,8 +7307,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="/decoder/up_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="373" name="/decoder/up_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv2/Conv, Concat_2768, Reshape_2769"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6647,8 +7335,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="/decoder/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="374" name="/decoder/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/Add, /decoder/up_blocks.1/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6672,10 +7363,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="/decoder/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="375" name="/decoder/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm1/Constant_output_0">
@@ -6683,8 +7374,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="376" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6704,16 +7398,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="Constant_958" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="377" name="Constant_2809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2809"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="MVN_959" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="378" name="MVN_2810" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/InstanceNormalization, Concat_2829, Concat_2874, MVN_2810, Multiply_2857, Reshape_2830, Reshape_2875"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6732,8 +7432,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="/decoder/up_blocks.1/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="379" name="/decoder/up_blocks.1/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6748,8 +7451,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="380" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6769,8 +7475,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="Constant_4258_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72964442" size="1024" />
+		<layer id="381" name="Constant_11916_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72964418" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6780,10 +7486,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="Constant_4258" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="382" name="Constant_11916" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6802,8 +7508,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="/decoder/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="383" name="/decoder/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6827,8 +7536,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Constant_4259_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="72965466" size="1024" />
+		<layer id="384" name="Constant_11917_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72965442" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6838,10 +7547,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="Constant_4259" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="385" name="Constant_11917" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6860,8 +7569,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="/decoder/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="386" name="/decoder/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6885,7 +7597,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="387" name="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul, /decoder/up_blocks.1/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6903,8 +7618,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="72966490" size="4718592" />
+		<layer id="388" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="72966466" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6914,10 +7629,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="389" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.2.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6936,8 +7652,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="390" name="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6961,8 +7680,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="Reshape_999_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77685082" size="1024" />
+		<layer id="391" name="Reshape_2934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77685058" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6972,10 +7691,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="Reshape_999" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="392" name="Reshape_2934" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6994,8 +7713,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="/decoder/up_blocks.1/resnets.2/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="393" name="/decoder/up_blocks.1/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv1/Conv, Concat_2933, Reshape_2934"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7019,10 +7741,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="/decoder/up_blocks.1/resnets.2/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="394" name="/decoder/up_blocks.1/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm2/Constant_output_0">
@@ -7030,8 +7752,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="395" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7051,16 +7776,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="Constant_1005" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="396" name="Constant_2971" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2971"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="MVN_1006" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="397" name="MVN_2972" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/InstanceNormalization, Concat_2991, Concat_3036, MVN_2972, Multiply_3019, Reshape_2992, Reshape_3037"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7079,8 +7810,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="/decoder/up_blocks.1/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="398" name="/decoder/up_blocks.1/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7095,8 +7829,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="399" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7116,8 +7853,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_4260_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77686106" size="1024" />
+		<layer id="400" name="Constant_11918_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77686082" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7127,10 +7864,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_4260" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="401" name="Constant_11918" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7149,8 +7886,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="/decoder/up_blocks.1/resnets.2/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="402" name="/decoder/up_blocks.1/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7174,8 +7914,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_4261_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="77687130" size="1024" />
+		<layer id="403" name="Constant_11919_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77687106" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7185,10 +7925,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Constant_4261" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="404" name="Constant_11919" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7207,8 +7947,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="/decoder/up_blocks.1/resnets.2/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="405" name="/decoder/up_blocks.1/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7232,7 +7975,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="406" name="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7250,8 +7996,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="77688154" size="4718592" />
+		<layer id="407" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="77688130" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -7261,10 +8007,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="408" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.2.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7283,8 +8030,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="409" name="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7308,8 +8058,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="Reshape_1046_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="82406746" size="1024" />
+		<layer id="410" name="Reshape_3096_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="82406722" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7319,10 +8069,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="Reshape_1046" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="411" name="Reshape_3096" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7341,8 +8091,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="/decoder/up_blocks.1/resnets.2/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="412" name="/decoder/up_blocks.1/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv2/Conv, Concat_3095, Reshape_3096"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7366,8 +8119,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="/decoder/up_blocks.1/resnets.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="413" name="/decoder/up_blocks.1/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/Add, /decoder/up_blocks.1/resnets.2/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7391,10 +8147,45 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="/decoder/up_blocks.1/upsamplers.0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="4" offset="49358154" size="16" />
+		<layer id="414" name="ShapeOf_3129" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_3129"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="Convert_3130" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_3130"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="/decoder/up_blocks.1/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Constant_output_0">
@@ -7402,8 +8193,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="/decoder/up_blocks.1/upsamplers.0/Resize" 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" />
+		<layer id="417" name="Multiply_3131" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_3131"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="Convert_3132" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_3132"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="/decoder/up_blocks.1/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<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"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/Resize"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7411,12 +8240,15 @@
 					<dim>128</dim>
 					<dim>128</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -7424,8 +8256,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="82407770" size="4718592" />
+		<layer id="420" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="82407746" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -7435,10 +8267,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="421" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.upsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7457,8 +8290,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="422" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7482,8 +8318,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="Reshape_1065_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87126362" size="1024" />
+		<layer id="423" name="Reshape_3154_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87126338" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7493,10 +8329,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Reshape_1065" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="424" name="Reshape_3154" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7515,8 +8351,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="425" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/conv/Conv, Concat_3153, Reshape_3154"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7540,8 +8379,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 512, 1, 1" offset="87127386" size="262144" />
+		<layer id="426" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 1, 1" offset="87127362" size="262144"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -7551,10 +8390,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="427" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7573,8 +8413,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="428" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7598,8 +8441,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="Reshape_1172_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="87389530" size="512" />
+		<layer id="429" name="Reshape_3526_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="87389506" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7609,10 +8452,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="Reshape_1172" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="430" name="Reshape_3526" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7631,8 +8474,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="431" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv, Concat_3525, Reshape_3526"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7656,10 +8502,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="/decoder/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="432" name="/decoder/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm1/Constant_output_0">
@@ -7667,8 +8513,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="433" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7688,16 +8537,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="Constant_1071" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="434" name="Constant_3191" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3191"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="MVN_1072" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="435" name="MVN_3192" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/InstanceNormalization, Concat_3211, Concat_3256, MVN_3192, Multiply_3239, Reshape_3212, Reshape_3257"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7716,8 +8571,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="/decoder/up_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="436" name="/decoder/up_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7732,8 +8590,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="437" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7753,8 +8614,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="Constant_4262_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87390042" size="1024" />
+		<layer id="438" name="Constant_11920_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87390018" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7764,10 +8625,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="Constant_4262" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="439" name="Constant_11920" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7786,8 +8647,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="/decoder/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="440" name="/decoder/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7811,8 +8675,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="Constant_4263_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="87391066" size="1024" />
+		<layer id="441" name="Constant_11921_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87391042" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7822,10 +8686,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="433" name="Constant_4263" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="442" name="Constant_11921" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7844,8 +8708,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="/decoder/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="443" name="/decoder/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7869,7 +8736,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="444" name="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul, /decoder/up_blocks.2/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7887,8 +8757,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 512, 3, 3" offset="87392090" size="2359296" />
+		<layer id="445" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 3, 3" offset="87392066" size="2359296"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -7898,10 +8768,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="437" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="446" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7920,8 +8791,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="447" name="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7945,8 +8819,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="Reshape_1112_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="89751386" size="512" />
+		<layer id="448" name="Reshape_3316_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751362" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7956,10 +8830,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="Reshape_1112" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="449" name="Reshape_3316" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7978,8 +8852,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="/decoder/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="450" name="/decoder/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv1/Conv, Concat_3315, Reshape_3316"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8003,10 +8880,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="/decoder/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="451" name="/decoder/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm2/Constant_output_0">
@@ -8014,8 +8891,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="452" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8035,16 +8915,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="Constant_1118" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="453" name="Constant_3353" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3353"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="MVN_1119" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="454" name="MVN_3354" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/InstanceNormalization, Concat_3373, Concat_3418, MVN_3354, Multiply_3401, Reshape_3374, Reshape_3419"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8063,8 +8949,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="446" name="/decoder/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="455" name="/decoder/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8079,8 +8968,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="456" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8100,8 +8992,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="Constant_4264_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="89751898" size="512" />
+		<layer id="457" name="Constant_11922_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751874" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8111,10 +9003,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="449" name="Constant_4264" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="458" name="Constant_11922" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8133,8 +9025,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="/decoder/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="459" name="/decoder/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8158,8 +9053,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="Constant_4265_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="89752410" size="512" />
+		<layer id="460" name="Constant_11923_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89752386" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8169,10 +9064,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="Constant_4265" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="461" name="Constant_11923" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8191,8 +9086,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="/decoder/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="462" name="/decoder/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8216,7 +9114,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="463" name="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8234,8 +9135,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="89752922" size="1179648" />
+		<layer id="464" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="89752898" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -8245,10 +9146,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="465" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8267,8 +9169,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="466" name="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8292,8 +9197,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="Reshape_1159_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="90932570" size="512" />
+		<layer id="467" name="Reshape_3478_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90932546" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8303,10 +9208,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="Reshape_1159" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="468" name="Reshape_3478" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8325,8 +9230,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="/decoder/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="469" name="/decoder/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv2/Conv, Concat_3477, Reshape_3478"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8350,8 +9258,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="/decoder/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="470" name="/decoder/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/Add, /decoder/up_blocks.2/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8375,10 +9286,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="/decoder/up_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="471" name="/decoder/up_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm1/Constant_output_0">
@@ -8386,8 +9297,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="472" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8407,16 +9321,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="Constant_1181" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="473" name="Constant_3566" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3566"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="MVN_1182" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="474" name="MVN_3567" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/InstanceNormalization, Concat_3586, Concat_3631, MVN_3567, Multiply_3614, Reshape_3587, Reshape_3632"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8435,8 +9355,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="/decoder/up_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="475" name="/decoder/up_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8451,8 +9374,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="476" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8472,8 +9398,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="Constant_4266_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="90933082" size="512" />
+		<layer id="477" name="Constant_11924_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933058" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8483,10 +9409,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="Constant_4266" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="478" name="Constant_11924" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8505,8 +9431,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="/decoder/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="479" name="/decoder/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8530,8 +9459,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="Constant_4267_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="90933594" size="512" />
+		<layer id="480" name="Constant_11925_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933570" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8541,10 +9470,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="Constant_4267" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="481" name="Constant_11925" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8563,8 +9492,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="/decoder/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="482" name="/decoder/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8588,7 +9520,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="483" name="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul, /decoder/up_blocks.2/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8606,8 +9541,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="90934106" size="1179648" />
+		<layer id="484" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="90934082" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -8617,10 +9552,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="485" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8639,8 +9575,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="486" name="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8664,8 +9603,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="Reshape_1222_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="92113754" size="512" />
+		<layer id="487" name="Reshape_3691_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92113730" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8675,10 +9614,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Reshape_1222" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="488" name="Reshape_3691" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8697,8 +9636,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="/decoder/up_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="489" name="/decoder/up_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv1/Conv, Concat_3690, Reshape_3691"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8722,10 +9664,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="/decoder/up_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="490" name="/decoder/up_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm2/Constant_output_0">
@@ -8733,8 +9675,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="491" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8754,16 +9699,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="Constant_1228" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="492" name="Constant_3728" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3728"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="MVN_1229" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="493" name="MVN_3729" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/InstanceNormalization, Concat_3748, Concat_3793, MVN_3729, Multiply_3776, Reshape_3749, Reshape_3794"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8782,8 +9733,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="/decoder/up_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="494" name="/decoder/up_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8798,8 +9752,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="495" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8819,8 +9776,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="Constant_4268_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="92114266" size="512" />
+		<layer id="496" name="Constant_11926_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114242" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8830,10 +9787,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="Constant_4268" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="497" name="Constant_11926" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8852,8 +9809,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="/decoder/up_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="498" name="/decoder/up_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8877,8 +9837,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="Constant_4269_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="92114778" size="512" />
+		<layer id="499" name="Constant_11927_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114754" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8888,10 +9848,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Constant_4269" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="500" name="Constant_11927" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8910,8 +9870,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="/decoder/up_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="501" name="/decoder/up_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8935,7 +9898,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="502" name="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8953,8 +9919,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="92115290" size="1179648" />
+		<layer id="503" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="92115266" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -8964,10 +9930,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="504" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8986,8 +9953,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="505" name="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9011,8 +9981,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="Reshape_1269_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="93294938" size="512" />
+		<layer id="506" name="Reshape_3853_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93294914" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9022,10 +9992,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="Reshape_1269" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="507" name="Reshape_3853" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9044,8 +10014,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="/decoder/up_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="508" name="/decoder/up_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv2/Conv, Concat_3852, Reshape_3853"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9069,8 +10042,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="/decoder/up_blocks.2/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="509" name="/decoder/up_blocks.2/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/Add, /decoder/up_blocks.2/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9094,10 +10070,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="/decoder/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="510" name="/decoder/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm1/Constant_output_0">
@@ -9105,8 +10081,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="511" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9126,16 +10105,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="Constant_1278" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="512" name="Constant_3893" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3893"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="MVN_1279" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="513" name="MVN_3894" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/InstanceNormalization, Concat_3913, Concat_3958, MVN_3894, Multiply_3941, Reshape_3914, Reshape_3959"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9154,8 +10139,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="/decoder/up_blocks.2/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="514" name="/decoder/up_blocks.2/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9170,8 +10158,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="515" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9191,8 +10182,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="Constant_4270_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="93295450" size="512" />
+		<layer id="516" name="Constant_11928_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295426" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9202,10 +10193,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="Constant_4270" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="517" name="Constant_11928" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9224,8 +10215,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="/decoder/up_blocks.2/resnets.2/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="518" name="/decoder/up_blocks.2/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9249,8 +10243,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="Constant_4271_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="93295962" size="512" />
+		<layer id="519" name="Constant_11929_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295938" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9260,10 +10254,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="Constant_4271" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="520" name="Constant_11929" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9282,8 +10276,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="/decoder/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="521" name="/decoder/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9307,7 +10304,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="522" name="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul, /decoder/up_blocks.2/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9325,8 +10325,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="93296474" size="1179648" />
+		<layer id="523" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="93296450" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -9336,10 +10336,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="524" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.2.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9358,8 +10359,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="525" name="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9383,8 +10387,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="Reshape_1319_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94476122" size="512" />
+		<layer id="526" name="Reshape_4018_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476098" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9394,10 +10398,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="Reshape_1319" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="527" name="Reshape_4018" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9416,8 +10420,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="/decoder/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="528" name="/decoder/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv1/Conv, Concat_4017, Reshape_4018"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9441,10 +10448,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="/decoder/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="529" name="/decoder/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm2/Constant_output_0">
@@ -9452,8 +10459,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="530" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9473,16 +10483,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="Constant_1325" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="531" name="Constant_4055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4055"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="MVN_1326" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="532" name="MVN_4056" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/InstanceNormalization, Concat_4075, Concat_4120, MVN_4056, Multiply_4103, Reshape_4076, Reshape_4121"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9501,8 +10517,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="/decoder/up_blocks.2/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="533" name="/decoder/up_blocks.2/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9517,8 +10536,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="534" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9538,8 +10560,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="Constant_4272_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94476634" size="512" />
+		<layer id="535" name="Constant_11930_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476610" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9549,10 +10571,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="Constant_4272" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="536" name="Constant_11930" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9571,8 +10593,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="/decoder/up_blocks.2/resnets.2/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="537" name="/decoder/up_blocks.2/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9596,8 +10621,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Constant_4273_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="94477146" size="512" />
+		<layer id="538" name="Constant_11931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94477122" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9607,10 +10632,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="Constant_4273" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="539" name="Constant_11931" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9629,8 +10654,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="/decoder/up_blocks.2/resnets.2/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="540" name="/decoder/up_blocks.2/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9654,7 +10682,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="541" name="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9672,8 +10703,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="94477658" size="1179648" />
+		<layer id="542" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="94477634" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -9683,10 +10714,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="543" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.2.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9705,8 +10737,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="544" name="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9730,8 +10765,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="Reshape_1366_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="95657306" size="512" />
+		<layer id="545" name="Reshape_4180_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="95657282" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9741,10 +10776,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="Reshape_1366" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="546" name="Reshape_4180" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9763,8 +10798,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="/decoder/up_blocks.2/resnets.2/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="547" name="/decoder/up_blocks.2/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv2/Conv, Concat_4179, Reshape_4180"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9788,8 +10826,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="/decoder/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="548" name="/decoder/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/Add, /decoder/up_blocks.2/resnets.2/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9813,10 +10854,45 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="/decoder/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="4" offset="49358154" size="16" />
+		<layer id="549" name="ShapeOf_4213" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_4213"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="Convert_4214" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_4214"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="/decoder/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Constant_output_0">
@@ -9824,8 +10900,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="/decoder/up_blocks.2/upsamplers.0/Resize" 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" />
+		<layer id="552" name="Multiply_4215" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_4215"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="Convert_4216" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_4216"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="/decoder/up_blocks.2/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<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"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/Resize"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9833,12 +10947,15 @@
 					<dim>256</dim>
 					<dim>256</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Resize_output_0">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -9846,8 +10963,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="95657818" size="1179648" />
+		<layer id="555" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="95657794" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -9857,10 +10974,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="556" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.upsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9879,8 +10997,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="557" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9904,8 +11025,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Reshape_1385_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="96837466" size="512" />
+		<layer id="558" name="Reshape_4238_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96837442" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9915,10 +11036,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="Reshape_1385" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="559" name="Reshape_4238" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9937,8 +11058,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="560" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/conv/Conv, Concat_4237, Reshape_4238"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9962,8 +11086,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 256, 1, 1" offset="96837978" size="65536" />
+		<layer id="561" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 1, 1" offset="96837954" size="65536"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -9973,10 +11097,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="562" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9995,8 +11120,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="563" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10020,8 +11148,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="Reshape_1492_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="96903514" size="256" />
+		<layer id="564" name="Reshape_4610_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="96903490" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10031,10 +11159,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="552" name="Reshape_1492" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="565" name="Reshape_4610" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10053,8 +11181,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="566" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv, Concat_4609, Reshape_4610"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10078,10 +11209,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="/decoder/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="567" name="/decoder/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm1/Constant_output_0">
@@ -10089,8 +11220,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="568" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10110,16 +11244,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="Constant_1391" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="569" name="Constant_4275" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4275"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="MVN_1392" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="570" name="MVN_4276" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/InstanceNormalization, Concat_4295, Concat_4340, MVN_4276, Multiply_4323, Reshape_4296, Reshape_4341"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10138,8 +11278,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="/decoder/up_blocks.3/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="571" name="/decoder/up_blocks.3/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10154,8 +11297,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="572" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10175,8 +11321,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="Constant_4274_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="96903770" size="512" />
+		<layer id="573" name="Constant_11932_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96903746" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10186,10 +11332,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="Constant_4274" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="574" name="Constant_11932" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10208,8 +11354,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="/decoder/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="575" name="/decoder/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10233,8 +11382,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="Constant_4275_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="96904282" size="512" />
+		<layer id="576" name="Constant_11933_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96904258" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10244,10 +11393,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="Constant_4275" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="577" name="Constant_11933" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10266,8 +11415,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="/decoder/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="578" name="/decoder/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10291,7 +11443,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="579" name="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul, /decoder/up_blocks.3/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10309,8 +11464,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 256, 3, 3" offset="96904794" size="589824" />
+		<layer id="580" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 3, 3" offset="96904770" size="589824"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -10320,10 +11475,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="581" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10342,8 +11498,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="582" name="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10367,8 +11526,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="570" name="Reshape_1432_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97494618" size="256" />
+		<layer id="583" name="Reshape_4400_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494594" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10378,10 +11537,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="571" name="Reshape_1432" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="584" name="Reshape_4400" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10400,8 +11559,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="572" name="/decoder/up_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="585" name="/decoder/up_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv1/Conv, Concat_4399, Reshape_4400"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10425,10 +11587,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="/decoder/up_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="586" name="/decoder/up_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm2/Constant_output_0">
@@ -10436,8 +11598,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="587" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10457,16 +11622,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="575" name="Constant_1438" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="588" name="Constant_4437" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4437"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="576" name="MVN_1439" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="589" name="MVN_4438" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/InstanceNormalization, Concat_4457, Concat_4502, MVN_4438, Multiply_4485, Reshape_4458, Reshape_4503"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10485,8 +11656,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="577" name="/decoder/up_blocks.3/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="590" name="/decoder/up_blocks.3/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10501,8 +11675,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="591" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10522,8 +11699,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="Constant_4276_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97494874" size="256" />
+		<layer id="592" name="Constant_11934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494850" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10533,10 +11710,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="Constant_4276" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="593" name="Constant_11934" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10555,8 +11732,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="/decoder/up_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="594" name="/decoder/up_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10580,8 +11760,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="582" name="Constant_4277_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97495130" size="256" />
+		<layer id="595" name="Constant_11935_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97495106" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10591,10 +11771,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="Constant_4277" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="596" name="Constant_11935" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10613,8 +11793,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="/decoder/up_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="597" name="/decoder/up_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10638,7 +11821,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="598" name="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10656,8 +11842,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="97495386" size="294912" />
+		<layer id="599" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97495362" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -10667,10 +11853,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="600" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10689,8 +11876,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="601" name="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10714,8 +11904,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="Reshape_1479_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97790298" size="256" />
+		<layer id="602" name="Reshape_4562_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790274" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10725,10 +11915,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="Reshape_1479" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="603" name="Reshape_4562" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10747,8 +11937,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="/decoder/up_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="604" name="/decoder/up_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv2/Conv, Concat_4561, Reshape_4562"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10772,8 +11965,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="592" name="/decoder/up_blocks.3/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="605" name="/decoder/up_blocks.3/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/Add, /decoder/up_blocks.3/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10797,10 +11993,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="/decoder/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="606" name="/decoder/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm1/Constant_output_0">
@@ -10808,8 +12004,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="607" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10829,16 +12028,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="595" name="Constant_1501" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="608" name="Constant_4650" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4650"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="MVN_1502" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="609" name="MVN_4651" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/InstanceNormalization, Concat_4670, Concat_4715, MVN_4651, Multiply_4698, Reshape_4671, Reshape_4716"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10857,8 +12062,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="/decoder/up_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="610" name="/decoder/up_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10873,8 +12081,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="611" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10894,8 +12105,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="Constant_4278_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97790554" size="256" />
+		<layer id="612" name="Constant_11936_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790530" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10905,10 +12116,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="Constant_4278" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="613" name="Constant_11936" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10927,8 +12138,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="/decoder/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="614" name="/decoder/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10952,8 +12166,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="602" name="Constant_4279_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="97790810" size="256" />
+		<layer id="615" name="Constant_11937_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790786" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10963,10 +12177,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="603" name="Constant_4279" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="616" name="Constant_11937" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10985,8 +12199,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="/decoder/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="617" name="/decoder/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11010,7 +12227,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="605" name="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="618" name="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul, /decoder/up_blocks.3/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11028,8 +12248,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="606" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="97791066" size="294912" />
+		<layer id="619" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97791042" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -11039,10 +12259,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="620" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11061,8 +12282,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="621" name="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11086,8 +12310,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="Reshape_1542_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98085978" size="256" />
+		<layer id="622" name="Reshape_4775_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98085954" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11097,10 +12321,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="Reshape_1542" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="623" name="Reshape_4775" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11119,8 +12343,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="611" name="/decoder/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="624" name="/decoder/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv1/Conv, Concat_4774, Reshape_4775"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11144,10 +12371,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="/decoder/up_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="625" name="/decoder/up_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm2/Constant_output_0">
@@ -11155,8 +12382,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="626" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11176,16 +12406,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="Constant_1548" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="627" name="Constant_4812" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4812"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="MVN_1549" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="628" name="MVN_4813" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/InstanceNormalization, Concat_4832, Concat_4877, MVN_4813, Multiply_4860, Reshape_4833, Reshape_4878"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11204,8 +12440,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="/decoder/up_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="629" name="/decoder/up_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11220,8 +12459,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="630" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11241,8 +12483,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="Constant_4280_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98086234" size="256" />
+		<layer id="631" name="Constant_11938_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086210" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11252,10 +12494,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="Constant_4280" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="632" name="Constant_11938" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11274,8 +12516,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="/decoder/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="633" name="/decoder/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11299,8 +12544,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="Constant_4281_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98086490" size="256" />
+		<layer id="634" name="Constant_11939_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086466" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11310,10 +12555,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="Constant_4281" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="635" name="Constant_11939" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11332,8 +12577,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="623" name="/decoder/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="636" name="/decoder/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11357,7 +12605,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="624" name="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="637" name="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11375,8 +12626,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98086746" size="294912" />
+		<layer id="638" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98086722" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -11386,10 +12637,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="639" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11408,8 +12660,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="640" name="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11433,8 +12688,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="Reshape_1589_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98381658" size="256" />
+		<layer id="641" name="Reshape_4937_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381634" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11444,10 +12699,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="Reshape_1589" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="642" name="Reshape_4937" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11466,8 +12721,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="630" name="/decoder/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="643" name="/decoder/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv2/Conv, Concat_4936, Reshape_4937"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11491,8 +12749,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="/decoder/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="644" name="/decoder/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/Add, /decoder/up_blocks.3/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11516,10 +12777,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="/decoder/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="645" name="/decoder/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm1/Constant_output_0">
@@ -11527,8 +12788,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="633" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="646" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11548,16 +12812,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="Constant_1598" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="647" name="Constant_4977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4977"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="635" name="MVN_1599" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="648" name="MVN_4978" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/InstanceNormalization, Concat_4997, Concat_5042, MVN_4978, Multiply_5025, Reshape_4998, Reshape_5043"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11576,8 +12846,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="/decoder/up_blocks.3/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="649" name="/decoder/up_blocks.3/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11592,8 +12865,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="650" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11613,8 +12889,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="Constant_4282_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98381914" size="256" />
+		<layer id="651" name="Constant_11940_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381890" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11624,10 +12900,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="Constant_4282" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="652" name="Constant_11940" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11646,8 +12922,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="/decoder/up_blocks.3/resnets.2/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="653" name="/decoder/up_blocks.3/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11671,8 +12950,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="Constant_4283_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98382170" size="256" />
+		<layer id="654" name="Constant_11941_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98382146" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11682,10 +12961,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="Constant_4283" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="655" name="Constant_11941" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11704,8 +12983,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="/decoder/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="656" name="/decoder/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11729,7 +13011,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+		<layer id="657" name="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul, /decoder/up_blocks.3/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11747,8 +13032,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98382426" size="294912" />
+		<layer id="658" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98382402" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -11758,10 +13043,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="646" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="659" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.2.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11780,8 +13066,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="647" name="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="660" name="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11805,8 +13094,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="Reshape_1639_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677338" size="256" />
+		<layer id="661" name="Reshape_5102_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677314" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11816,10 +13105,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="Reshape_1639" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="662" name="Reshape_5102" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11838,8 +13127,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="/decoder/up_blocks.3/resnets.2/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="663" name="/decoder/up_blocks.3/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv1/Conv, Concat_5101, Reshape_5102"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11863,10 +13155,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="/decoder/up_blocks.3/resnets.2/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="664" name="/decoder/up_blocks.3/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm2/Constant_output_0">
@@ -11874,8 +13166,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="665" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11895,16 +13190,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="Constant_1645" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="666" name="Constant_5139" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_5139"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="MVN_1646" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="667" name="MVN_5140" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/InstanceNormalization, Concat_5159, Concat_5204, MVN_5140, Multiply_5187, Reshape_5160, Reshape_5205"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11923,8 +13224,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="/decoder/up_blocks.3/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="668" name="/decoder/up_blocks.3/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11939,8 +13243,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="669" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11960,8 +13267,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="Constant_4284_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677594" size="256" />
+		<layer id="670" name="Constant_11942_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677570" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11971,10 +13278,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="Constant_4284" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="671" name="Constant_11942" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11993,8 +13300,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="/decoder/up_blocks.3/resnets.2/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="672" name="/decoder/up_blocks.3/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12018,8 +13328,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="660" name="Constant_4285_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98677850" size="256" />
+		<layer id="673" name="Constant_11943_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677826" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12029,10 +13339,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="Constant_4285" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="674" name="Constant_11943" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12051,8 +13361,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="/decoder/up_blocks.3/resnets.2/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="675" name="/decoder/up_blocks.3/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12076,7 +13389,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="663" name="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+		<layer id="676" name="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12094,8 +13410,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="98678106" size="294912" />
+		<layer id="677" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98678082" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -12105,10 +13421,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="678" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.2.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12127,8 +13444,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="666" name="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="679" name="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12152,8 +13472,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="667" name="Reshape_1686_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98973018" size="256" />
+		<layer id="680" name="Reshape_5264_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98972994" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12163,10 +13483,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="Reshape_1686" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="681" name="Reshape_5264" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12185,8 +13505,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="/decoder/up_blocks.3/resnets.2/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="682" name="/decoder/up_blocks.3/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv2/Conv, Concat_5263, Reshape_5264"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12210,8 +13533,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="670" name="/decoder/up_blocks.3/resnets.2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="683" name="/decoder/up_blocks.3/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/Add, /decoder/up_blocks.3/resnets.2/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12235,10 +13561,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="671" name="/decoder/conv_norm_out/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="39976" size="24" />
+		<layer id="684" name="/decoder/conv_norm_out/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/decoder/conv_norm_out/Constant_output_0">
@@ -12246,8 +13572,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="/decoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="685" name="/decoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12267,16 +13596,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="673" name="Constant_1695" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="40000" size="8" />
+		<layer id="686" name="Constant_5304" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_5304"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="674" name="MVN_1696" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="687" name="MVN_5305" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/InstanceNormalization, Concat_5324, Concat_5369, MVN_5305, Multiply_5352, Reshape_5325, Reshape_5370"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12295,8 +13630,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="675" name="/decoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="688" name="/decoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12311,8 +13649,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="/decoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="689" name="/decoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12332,8 +13673,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="Constant_4286_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98973274" size="256" />
+		<layer id="690" name="Constant_11944_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973250" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12343,10 +13684,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="Constant_4286" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="691" name="Constant_11944" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12365,8 +13706,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="/decoder/conv_norm_out/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="692" name="/decoder/conv_norm_out/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12390,8 +13734,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="680" name="Constant_4287_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="98973530" size="256" />
+		<layer id="693" name="Constant_11945_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973506" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12401,10 +13745,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="681" name="Constant_4287" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="694" name="Constant_11945" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12423,8 +13767,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="682" name="/decoder/conv_norm_out/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="695" name="/decoder/conv_norm_out/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12448,7 +13795,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="/decoder/conv_act/Mul" type="Swish" version="opset4">
+		<layer id="696" name="/decoder/conv_act/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_act/Mul, /decoder/conv_act/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12466,8 +13816,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="vae.decoder.conv_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3, 128, 3, 3" offset="98973786" size="6912" />
+		<layer id="697" name="vae.decoder.conv_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 128, 3, 3" offset="98973762" size="6912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3</dim>
@@ -12477,10 +13827,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="vae.decoder.conv_out.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="698" name="vae.decoder.conv_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.conv_out.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12499,8 +13850,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="686" name="/decoder/conv_out/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="699" name="/decoder/conv_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_out/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12524,8 +13878,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="687" name="Reshape_1736_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 3, 1, 1" offset="98980698" size="6" />
+		<layer id="700" name="Reshape_5429_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 3, 1, 1" offset="98980674" size="6"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12535,10 +13889,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="688" name="Reshape_1736" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="701" name="Reshape_5429" type="Convert" version="opset1">
+			<data destination_type="f32"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="decompression" version="0"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12557,8 +13911,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="689" name="sample" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="702" name="sample" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Concat_5428, Reshape_5429, sample"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12582,7 +13939,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="sample/sink_port_0" type="Result" version="opset1">
+		<layer id="703" name="sample/sink_port_0" type="Result" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="sample/sink_port_0"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12594,753 +13954,808 @@
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